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ORCIDCVPR 2020: Virtual Event / Seattle, WA, USA
- 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020. Computer Vision Foundation / IEEE 2020, ISBN 978-1-7281-7168-5
Oral 1-1A: 3D From a Single Image and Shape-From-X (1)
- Shangzhe Wu
, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild. 1-10 - Jamie Watson, Michael Firman, Áron Monszpart, Gabriel J. Brostow:
Footprints and Free Space From a Single Color Image. 11-20 - Simron Thapa, Nianyi Li, Jinwei Ye:
Dynamic Fluid Surface Reconstruction Using Deep Neural Network. 21-30 - Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey E. Hinton, Andrea Tagliasacchi:
CvxNet: Learnable Convex Decomposition. 31-41 - Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang:
BSP-Net: Generating Compact Meshes via Binary Space Partitioning. 42-51 - Yinyu Nie, Xiaoguang Han, Shihui Guo, Yujian Zheng, Jian Chang, Jian-Jun Zhang:
Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes From a Single Image. 52-61 - Zhihao Xia, Patrick Sullivan, Ayan Chakrabarti:
Generating and Exploiting Probabilistic Monocular Depth Estimates. 62-71 - Yifan Wang, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Olga Sorkine-Hornung:
Neural Cages for Detail-Preserving 3D Deformations. 72-80 - Shunsuke Saito, Tomas Simon, Jason M. Saragih, Hanbyul Joo:
PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization. 81-90 - Kathryn Heal, Jialiang Wang, Steven J. Gortler, Todd E. Zickler:
A Lighting-Invariant Point Processor for Shading. 91-99 - Sena Kiciroglu, Helge Rhodin, Sudipta N. Sinha, Mathieu Salzmann, Pascal Fua:
ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture. 100-109 - Ziyu Jiang, Buyu Liu, Samuel Schulter, Zhangyang Wang, Manmohan Chandraker:
Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations. 110-118
Oral 1-1B: Action and Behavior
- Jonathan Munro, Dima Damen:
Multi-Modal Domain Adaptation for Fine-Grained Action Recognition. 119-129 - A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo:
Evolving Losses for Unsupervised Video Representation Learning. 130-139 - Ziyu Liu, Hongwen Zhang, Zhenghao Chen, Zhiyong Wang, Wanli Ouyang:
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition. 140-149 - Chao-Yuan Wu, Ross B. Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl:
A Multigrid Method for Efficiently Training Video Models. 150-159 - Tushar Nagarajan, Yanghao Li, Christoph Feichtenhofer, Kristen Grauman:
Ego-Topo: Environment Affordances From Egocentric Video. 160-169 - Jiaqi Guan, Ye Yuan, Kris M. Kitani, Nicholas Rhinehart:
Generative Hybrid Representations for Activity Forecasting With No-Regret Learning. 170-179 - Ke Cheng, Yifan Zhang, Xiangyu He, Weihan Chen, Jian Cheng, Hanqing Lu:
Skeleton-Based Action Recognition With Shift Graph Convolutional Network. 180-189 - Zhibo Yang, Lihan Huang, Yupei Chen, Zijun Wei, Seoyoung Ahn, Gregory J. Zelinsky, Dimitris Samaras, Minh Hoai:
Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning. 190-199 - Christoph Feichtenhofer:
X3D: Expanding Architectures for Efficient Video Recognition. 200-210 - Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian:
Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction. 211-220 - Kiana Ehsani, Shubham Tulsiani, Saurabh Gupta, Ali Farhadi, Abhinav Gupta:
Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects. 221-230
Oral 1-1C: Adversarial Learning
- Mingyi Zhou, Jing Wu, Yipeng Liu, Shuaicheng Liu, Ce Zhu:
DaST: Data-Free Substitute Training for Adversarial Attacks. 231-240 - Jeet Mohapatra, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel:
Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations. 241-249 - Yuheng Zhang, Ruoxi Jia, Hengzhi Pei, Wenxiao Wang, Bo Li, Dawn Song:
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks. 250-258 - Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
A Self-supervised Approach for Adversarial Robustness. 259-268 - Saehyung Lee, Hyungyu Lee, Sungroh Yoon:
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization. 269-278 - Xuanqing Liu, Tesi Xiao, Si Si, Qin Cao, Sanjiv Kumar, Cho-Jui Hsieh:
How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework. 279-287 - Shunta Maeda:
Unpaired Image Super-Resolution Using Pseudo-Supervision. 288-297 - Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann:
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs. 298-307 - Min Wu, Marta Kwiatkowska:
Robustness Guarantees for Deep Neural Networks on Videos. 308-317 - Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zihao Xiao, Jun Zhu:
Benchmarking Adversarial Robustness on Image Classification. 318-328 - Alvin Chan, Yi Tay, Yew-Soon Ong:
What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients. 329-338 - Hongjun Wang, Guangrun Wang, Ya Li, Dongyu Zhang, Liang Lin:
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking. 339-348
Poster 1-1P
- Heng Wang, Du Tran, Lorenzo Torresani, Matt Feiszli:
Video Modeling With Correlation Networks. 349-358 - Jie Li, Rongrong Ji, Hong Liu, Jianzhuang Liu, Bineng Zhong, Cheng Deng, Qi Tian:
Projection & Probability-Driven Black-Box Attack. 359-368 - Linfeng Zhang, Muzhou Yu, Tong Chen, Zuoqiang Shi, Chenglong Bao, Kaisheng Ma:
Auxiliary Training: Towards Accurate and Robust Models. 369-378 - Yong-Lu Li, Liang Xu, Xinpeng Liu, Xijie Huang, Yue Xu, Shiyi Wang, Haoshu Fang, Ze Ma, Mingyang Chen, Cewu Lu:
PaStaNet: Toward Human Activity Knowledge Engine. 379-388 - Jintai Chen, Biwen Lei, Qingyu Song, Haochao Ying, Danny Z. Chen, Jian Wu:
A Hierarchical Graph Network for 3D Object Detection on Point Clouds. 389-398 - Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomír Mech, Nathan Carr, Tamy Boubekeur, Rui Wang, Subhransu Maji:
Learning Generative Models of Shape Handles. 399-408 - Chang Xiao, Changxi Zheng:
One Man's Trash Is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples. 409-418 - Dor Verbin, Todd E. Zickler:
Toward a Universal Model for Shape From Texture. 419-427 - Chen Song, Jiaru Song, Qixing Huang:
HybridPose: 6D Object Pose Estimation Under Hybrid Representations. 428-437 - Jisan Mahmud, True Price, Akash Bapat, Jan-Michael Frahm:
Boundary-Aware 3D Building Reconstruction From a Single Overhead Image. 438-448 - Nilesh Kulkarni, Abhinav Gupta, David F. Fouhey, Shubham Tulsiani:
Articulation-Aware Canonical Surface Mapping. 449-458 - Fu-En Wang, Yu-Hsuan Yeh, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai:
BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion. 459-468 - Jiayu Wang, Wengang Zhou, Guo-Jun Qi, Zhongqian Fu, Qi Tian, Houqiang Li:
Transformation GAN for Unsupervised Image Synthesis and Representation Learning. 469-478 - Yue Liao, Si Liu, Fei Wang, Yanjie Chen, Chen Qian, Jiashi Feng:
PPDM: Parallel Point Detection and Matching for Real-Time Human-Object Interaction Detection. 479-487 - Manel Baradad, Antonio Torralba:
Height and Uprightness Invariance for 3D Prediction From a Single View. 488-497 - Mohsen Fayyaz, Jürgen Gall:
SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation. 498-507 - Yancheng Wang, Yang Xiao, Fu Xiong, Wenxiang Jiang, Zhiguo Cao, Joey Tianyi Zhou, Junsong Yuan:
3DV: 3D Dynamic Voxel for Action Recognition in Depth Video. 508-517 - Haoxin Li, Wei-Shi Zheng, Yu Tao, Haifeng Hu, Jian-Huang Lai:
Adaptive Interaction Modeling via Graph Operations Search. 518-527 - Yuan Yao, Nico Schertler, Enrique Rosales, Helge Rhodin, Leonid Sigal, Alla Sheffer:
Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction. 528-537 - Lijun Wang, Jianming Zhang, Oliver Wang, Zhe Lin, Huchuan Lu:
SDC-Depth: Semantic Divide-and-Conquer Network for Monocular Depth Estimation. 538-547 - Richard Tucker, Noah Snavely:
Single-View View Synthesis With Multiplane Images. 548-557 - Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon:
Deep Parametric Shape Predictions Using Distance Fields. 558-567 - Yana Hasson, Bugra Tekin, Federica Bogo, Ivan Laptev, Marc Pollefeys, Cordelia Schmid:
Leveraging Photometric Consistency Over Time for Sparsely Supervised Hand-Object Reconstruction. 568-577 - Jianhe Yuan, Zhihai He:
Ensemble Generative Cleaning With Feedback Loops for Defending Adversarial Attacks. 578-587 - Ceyuan Yang, Yinghao Xu, Jianping Shi, Bo Dai, Bolei Zhou:
Temporal Pyramid Network for Action Recognition. 588-597 - Haotian Yang, Hao Zhu, Yanru Wang, Mingkai Huang, Qiu Shen, Ruigang Yang, Xun Cao:
FaceScape: A Large-Scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction. 598-607 - Ke Xian, Jianming Zhang, Oliver Wang, Long Mai, Zhe Lin, Zhiguo Cao:
Structure-Guided Ranking Loss for Single Image Depth Prediction. 608-617 - Heng Yang, Luca Carlone:
In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction From 2D Landmarks. 618-627 - Minghao Guo, Yuzhe Yang, Rui Xu, Ziwei Liu, Dahua Lin:
When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks. 628-637 - Maosen Li, Cheng Deng, Tengjiao Li, Junchi Yan, Xinbo Gao, Heng Huang:
Towards Transferable Targeted Attack. 638-646 - Feitong Tan, Hao Zhu, Zhaopeng Cui, Siyu Zhu, Marc Pollefeys, Ping Tan:
Self-Supervised Human Depth Estimation From Monocular Videos. 647-656 - Jianhua Sun, Qinhong Jiang, Cewu Lu:
Recursive Social Behavior Graph for Trajectory Prediction. 657-666 - Huaidong Zhang, Xuemiao Xu, Guoqiang Han, Shengfeng He:
Context-Aware and Scale-Insensitive Temporal Repetition Counting. 667-675 - Weifeng Chen, Shengyi Qian, David Fan, Noriyuki Kojima, Max Hamilton, Jia Deng:
OASIS: A Large-Scale Dataset for Single Image 3D in the Wild. 676-685 - Rui Wang, David Geraghty, Kevin Matzen, Richard Szeliski, Jan-Michael Frahm:
VPLNet: Deep Single View Normal Estimation With Vanishing Points and Lines. 686-695 - Tianlong Chen, Sijia Liu, Shiyu Chang, Yu Cheng, Lisa Amini, Zhangyang Wang:
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning. 696-705 - Tejas S. Borkar, Felix Heide, Lina J. Karam:
Defending Against Universal Attacks Through Selective Feature Regeneration. 706-716 - Lifeng Huang, Chengying Gao, Yuyin Zhou, Cihang Xie, Alan L. Yuille, Changqing Zou, Ning Liu:
Universal Physical Camouflage Attacks on Object Detectors. 717-726 - Dian Shao, Yue Zhao, Bo Dai, Dahua Lin:
Intra- and Inter-Action Understanding via Temporal Action Parsing. 727-736 - Xueying Wang, Yudong Guo, Bailin Deng, Juyong Zhang:
Lightweight Photometric Stereo for Facial Details Recovery. 737-746 - Huayi Zeng, Kevin Joseph, Adam Vest, Yasutaka Furukawa:
Bundle Pooling for Polygonal Architecture Segmentation Problem. 747-756 - Alexandros Lattas, Stylianos Moschoglou, Baris Gecer, Stylianos Ploumpis, Vasileios Triantafyllou, Abhijeet Ghosh, Stefanos Zafeiriou:
AvatarMe: Realistically Renderable 3D Facial Reconstruction "In-the-Wild". 757-766 - Sanjay Kariyappa, Moinuddin K. Qureshi:
Defending Against Model Stealing Attacks With Adaptive Misinformation. 767-775 - Dawei Yang, Jia Deng:
Learning to Generate 3D Training Data Through Hybrid Gradient. 776-786 - Xiaogang Wang, Marcelo H. Ang, Gim Hee Lee:
Cascaded Refinement Network for Point Cloud Completion. 787-796 - Guanlin Li, Shuya Ding, Jun Luo, Chang Liu:
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder. 797-805 - Hyunjun Eun, Jinyoung Moon, Jongyoul Park, Chanho Jung, Changick Kim:
Learning to Discriminate Information for Online Action Detection. 806-815 - Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, Quoc V. Le:
Adversarial Examples Improve Image Recognition. 816-825 - Rundi Wu, Yixin Zhuang, Kai Xu, Hao Zhang, Baoquan Chen:
PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes. 826-835 - Kirill Gavrilyuk, Ryan Sanford, Mehrsan Javan, Cees G. M. Snoek:
Actor-Transformers for Group Activity Recognition. 836-845 - Angela Dai, Christian Diller, Matthias Nießner:
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans. 846-855 - Xiaohu Lu, Zuoyue Li, Zhaopeng Cui, Martin R. Oswald, Marc Pollefeys, Rongjun Qin:
Geometry-Aware Satellite-to-Ground Image Synthesis for Urban Areas. 856-864 - Hazel Doughty, Ivan Laptev, Walterio W. Mayol-Cuevas, Dima Damen:
Action Modifiers: Learning From Adverbs in Instructional Videos. 865-875 - Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann:
ZSTAD: Zero-Shot Temporal Activity Detection. 876-885 - Lei Jin, Yanyu Xu, Jia Zheng, Junfei Zhang, Rui Tang, Shugong Xu, Jingyi Yu, Shenghua Gao:
Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery. 886-895 - Jingwei Xu, Zhenbo Yu, Bingbing Ni, Jiancheng Yang, Xiaokang Yang, Wenjun Zhang:
Deep Kinematics Analysis for Monocular 3D Human Pose Estimation. 896-905 - Yan Li, Bin Ji, Xintian Shi, Jianguo Zhang, Bin Kang, Limin Wang:
TEA: Temporal Excitation and Aggregation for Action Recognition. 906-915 - Dave Epstein, Boyuan Chen, Carl Vondrick:
Oops! Predicting Unintentional Action in Video. 916-926 - Hamid Izadinia, Steven M. Seitz:
Scene Recomposition by Learning-Based ICP. 927-936 - Yantao Lu, Yunhan Jia, Jianyu Wang, Bai Li, Weiheng Chai, Lawrence Carin, Senem Velipasalar:
Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction. 937-946 - Vivek B. S., R. Venkatesh Babu:
Single-Step Adversarial Training With Dropout Scheduling. 947-956 - Javier Grau Chopite, Matthias B. Hullin, Michael Wand, Julian Iseringhausen:
Deep Non-Line-of-Sight Reconstruction. 957-966 - Zhenxing Mi, Yiming Luo, Wenbing Tao:
SSRNet: Scalable 3D Surface Reconstruction Network. 967-976 - Guyue Hu, Bo Cui, Yuan He, Shan Yu:
Progressive Relation Learning for Group Activity Recognition. 977-986 - Bin Yan, Dong Wang, Huchuan Lu, Xiaoyun Yang:
Cooling-Shrinking Attack: Blinding the Tracker With Imperceptible Noises. 987-996 - Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. Kai Qin, Yun Yang:
Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles. 997-1005 - Baifeng Shi, Qi Dai, Yadong Mu, Jingdong Wang:
Weakly-Supervised Action Localization by Generative Attention Modeling. 1006-1016 - Sravanti Addepalli, Vivek B. S., Arya Baburaj, Gaurang Sriramanan, R. Venkatesh Babu:
Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes. 1017-1026 - Yucheng Shi, Yahong Han, Qi Tian:
Polishing Decision-Based Adversarial Noise With a Customized Sampling. 1027-1035 - Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance. 1036-1045 - Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, Trevor Darrell:
Something-Else: Compositional Action Recognition With Spatial-Temporal Interaction Networks. 1046-1056 - Despoina Paschalidou, Luc Van Gool, Andreas Geiger:
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image. 1057-1067 - Maxim Maximov, Kevin Galim, Laura Leal-Taixé:
Focus on Defocus: Bridging the Synthetic to Real Domain Gap for Depth Estimation. 1068-1077 - Boyu Wang, Lihan Huang, Minh Hoai:
Active Vision for Early Recognition of Human Actions. 1078-1088 - Xianhang Li, Yali Wang, Zhipeng Zhou, Yu Qiao:
SmallBigNet: Integrating Core and Contextual Views for Video Classification. 1089-1098 - Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz:
Gate-Shift Networks for Video Action Recognition. 1099-1108 - Pengfei Zhang, Cuiling Lan, Wenjun Zeng, Junliang Xing, Jianru Xue, Nanning Zheng:
Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition. 1109-1118 - Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Exploiting Joint Robustness to Adversarial Perturbations. 1119-1128 - Navaneet K. L., Ansu Mathew, Shashank Kashyap, Wei-Chih Hung, Varun Jampani, R. Venkatesh Babu:
From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks. 1129-1137 - Teng Long, Pascal Mettes, Heng Tao Shen, Cees G. M. Snoek:
Searching for Actions on the Hyperbole. 1138-1147 - Ali Shahin Shamsabadi, Ricardo Sánchez-Matilla, Andrea Cavallaro:
ColorFool: Semantic Adversarial Colorization. 1148-1157 - Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai:
Boosting the Transferability of Adversarial Samples via Attention. 1158-1167 - Mihir Jain, Amir Ghodrati, Cees G. M. Snoek:
ActionBytes: Learning From Trimmed Videos to Localize Actions. 1168-1177 - Haizhong Zheng, Ziqi Zhang, Juncheng Gu, Honglak Lee, Atul Prakash:
Efficient Adversarial Training With Transferable Adversarial Examples. 1178-1187 - Song Tao, Jia Wang:
Alleviation of Gradient Exploding in GANs: Fake Can Be Real. 1188-1197 - Yue Zhao, Yuwei Wu, Caihua Chen, Andrew Lim:
On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks. 1198-1207 - Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli:
Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations. 1208-1217 - Huichen Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li:
QEBA: Query-Efficient Boundary-Based Blackbox Attack. 1218-1227 - Seung Wook Kim, Yuhao Zhou, Jonah Philion, Antonio Torralba, Sanja Fidler:
Learning to Simulate Dynamic Environments With GameGAN. 1228-1237 - Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong:
Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness. 1238-1247
Oral 1-2A: 3D From Multiview and Sensors (1)
- Yue Jiang, Dantong Ji, Zhizhong Han, Matthias Zwicker:
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization. 1248-1258 - Zhengqin Li, Yu-Ying Yeh, Manmohan Chandraker:
Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes. 1259-1268 - Joo Ho Lee, Hyunho Ha, Yue Dong, Xin Tong, Min H. Kim:
TextureFusion: High-Quality Texture Acquisition for Real-Time RGB-D Scanning. 1269-1277 - Nan Yang, Lukas von Stumberg, Rui Wang, Daniel Cremers:
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry. 1278-1289 - Danhang Tang, Saurabh Singh, Philip A. Chou, Christian Häne, Mingsong Dou, Sean Ryan Fanello, Jonathan Taylor, Philip Davidson, Onur G. Guleryuz, Yinda Zhang, Shahram Izadi, Andrea Tagliasacchi, Sofien Bouaziz, Cem Keskin:
Deep Implicit Volume Compression. 1290-1300 - Dániel Baráth, Jana Noskova, Maksym Ivashechkin, Jiri Matas:
MAGSAC++, a Fast, Reliable and Accurate Robust Estimator. 1301-1309 - Lila Huang, Shenlong Wang, Kelvin Wong, Jerry Liu, Raquel Urtasun:
OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression. 1310-1320 - Yuxiang Zhang, Liang An, Tao Yu, Xiu Li, Kun Li, Yebin Liu:
4D Association Graph for Realtime Multi-Person Motion Capture Using Multiple Video Cameras. 1321-1330 - Gengshan Yang, Deva Ramanan:
Upgrading Optical Flow to 3D Scene Flow Through Optical Expansion. 1331-1340 - Zhe Li, Tao Yu, Chuanyu Pan, Zerong Zheng, Yebin Liu:
Robust 3D Self-Portraits in Seconds. 1341-1350
Oral 1-2B: Computational Photography
- Matias Tassano, Julie Delon, Thomas Veit:
FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation. 1351-1360 - Givi Meishvili, Simon Jenni, Paolo Favaro:
Learning to Have an Ear for Face Super-Resolution. 1361-1371 - Christopher A. Metzler, Hayato Ikoma, Yifan Peng, Gordon Wetzstein:
Deep Optics for Single-Shot High-Dynamic-Range Imaging. 1372-1382 - Qilin Sun, Ethan Tseng, Qiang Fu, Wolfgang Heidrich, Felix Heide:
Learning Rank-1 Diffractive Optics for Single-Shot High Dynamic Range Imaging. 1383-1393 - Mahmoud Afifi, Michael S. Brown:
Deep White-Balance Editing. 1394-1403 - Sean I. Young, David B. Lindell, Bernd Girod, David Taubman, Gordon Wetzstein:
Non-Line-of-Sight Surface Reconstruction Using the Directional Light-Cone Transform. 1404-1413 - Jeong Joon Park, Aleksander Holynski, Steven M. Seitz:
Seeing the World in a Bag of Chips. 1414-1424 - Shady Abu Hussein, Tom Tirer, Raja Giryes:
Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers. 1425-1434 - Lin Zhu, Siwei Dong, Jianing Li, Tiejun Huang, Yonghong Tian:
Retina-Like Visual Image Reconstruction via Spiking Neural Model. 1435-1443 - Xin Yuan, Yang Liu, Jin-Li Suo, Qionghai Dai:
Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging. 1444-1454
Oral 1-2C: Efficient Training and Inference
- Jian-Hao Luo, Jianxin Wu:
Neural Network Pruning With Residual-Connections and Limited-Data. 1455-1464 - Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu:
AdderNet: Do We Really Need Multiplications in Deep Learning? 1465-1474 - Eugene Lee, Chen-Yi Lee:
NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks. 1475-1484 - Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian D. Reid:
Training Quantized Neural Networks With a Full-Precision Auxiliary Module. 1485-1494 - Dongdong Wang, Yandong Li, Liqiang Wang, Boqing Gong:
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model. 1495-1504 - Jinyang Guo, Wanli Ouyang, Dong Xu:
Multi-Dimensional Pruning: A Unified Framework for Model Compression. 1505-1514 - Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu:
Towards Efficient Model Compression via Learned Global Ranking. 1515-1525 - Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao:
HRank: Filter Pruning Using High-Rank Feature Map. 1526-1535 - Shaopeng Guo, Yujie Wang, Quanquan Li, Junjie Yan:
DMCP: Differentiable Markov Channel Pruning for Neural Networks. 1536-1544 - Negar Goli, Tor M. Aamodt:
ReSprop: Reuse Sparsified Backpropagation. 1545-1555
Poster 1-2P
- Jingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu, Chiyu Max Jiang, Leonidas J. Guibas, Matthias Nießner, Thomas A. Funkhouser:
Adversarial Texture Optimization From RGB-D Scans. 1556-1565 - Tolga Birdal, Michael Arbel, Umut Simsekli, Leonidas J. Guibas:
Synchronizing Probability Measures on Rotations via Optimal Transport. 1566-1576 - Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu:
GhostNet: More Features From Cheap Operations. 1577-1586 - Keyang Luo, Tao Guan, Lili Ju, Yuesong Wang, Zhuo Chen, Yawei Luo:
Attention-Aware Multi-View Stereo. 1587-1596 - Abhishek Badki, Alejandro J. Troccoli, Kihwan Kim, Jan Kautz, Pradeep Sen, Orazio Gallo:
Bi3D: Stereo Depth Estimation via Binary Classifications. 1597-1605 - Zihao W. Wang, Peiqi Duan, Oliver Cossairt, Aggelos K. Katsaggelos, Tiejun Huang, Boxin Shi:
Joint Filtering of Intensity Images and Neuromorphic Events for High-Resolution Noise-Robust Imaging. 1606-1616 - Guohao Li, Guocheng Qian, Itzel C. Delgadillo, Matthias Müller, Ali K. Thabet, Bernard Ghanem:
SGAS: Sequential Greedy Architecture Search. 1617-1627 - Maosheng Ye, Shuangjie Xu, Tongyi Cao:
HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection. 1628-1637 - Hanting Chen, Yunhe Wang, Han Shu, Yehui Tang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu:
Frequency Domain Compact 3D Convolutional Neural Networks. 1638-1647 - Yu-Lun Liu, Wei-Sheng Lai, Yu-Sheng Chen, Yi-Lung Kao, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang:
Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline. 1648-1657 - Lizhi Wang, Chen Sun, Maoqing Zhang, Ying Fu, Hua Huang:
DNU: Deep Non-Local Unrolling for Computational Spectral Imaging. 1658-1668 - Liyuan Pan, Miaomiao Liu, Richard Hartley:
Single Image Optical Flow Estimation With an Event Camera. 1669-1678 - Minye Wu, Yuehao Wang, Qiang Hu, Jingyi Yu:
Multi-View Neural Human Rendering. 1679-1688 - Kai Zhang, Jiaxin Xie, Noah Snavely, Qifeng Chen:
Depth Sensing Beyond LiDAR Range. 1689-1697 - R. Wes Baldwin, Mohammed Almatrafi, Vijayan K. Asari, Keigo Hirakawa:
Event Probability Mask (EPM) and Event Denoising Convolutional Neural Network (EDnCNN) for Neuromorphic Cameras. 1698-1707 - Weijing Shi, Raj Rajkumar:
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud. 1708-1716 - Wenhan Yang, Robby T. Tan, Shiqi Wang, Jiaying Liu:
Self-Learning Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence. 1717-1726 - Jin Han, Chu Zhou, Peiqi Duan, Yehui Tang, Chang Xu, Chao Xu, Tiejun Huang, Boxin Shi:
Neuromorphic Camera Guided High Dynamic Range Imaging. 1727-1736 - Kai Xu, Minghai Qin, Fei Sun, Yuhao Wang, Yen-Kuang Chen, Fengbo Ren:
Learning in the Frequency Domain. 1737-1746 - Chenyang Lei, Xuhua Huang, Mengdi Zhang, Qiong Yan, Wenxiu Sun, Qifeng Chen:
Polarized Reflection Removal With Perfect Alignment in the Wild. 1747-1755 - Zan Gojcic, Caifa Zhou, Jan D. Wegner, Leonidas J. Guibas, Tolga Birdal:
Learning Multiview 3D Point Cloud Registration. 1756-1766 - Snehal Bhayani, Zuzana Kukelova, Janne Heikkilä:
A Sparse Resultant Based Method for Efficient Minimal Solvers. 1767-1776 - Chunle Guo, Chongyi Li, Jichang Guo, Chen Change Loy, Junhui Hou, Sam Kwong, Runmin Cong:
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement. 1777-1786 - Yao Yao, Zixin Luo, Shiwei Li, Jingyang Zhang, Yufan Ren, Lei Zhou, Tian Fang, Long Quan:
BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks. 1787-1796 - Zhi-Hao Lin, Sheng-Yu Huang, Yu-Chiang Frank Wang:
Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis. 1797-1806 - Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu:
A Semi-Supervised Assessor of Neural Architectures. 1807-1816 - Zhouxia Wang, Jiawei Zhang, Mude Lin, Jiong Wang, Ping Luo, Jimmy S. J. Ren:
Learning a Reinforced Agent for Flexible Exposure Bracketing Selection. 1817-1825 - Zhaohui Yang, Yunhe Wang, Xinghao Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu:
CARS: Continuous Evolution for Efficient Neural Architecture Search. 1826-1835 - Dingfu Zhou, Jin Fang, Xibin Song, Liu Liu, Junbo Yin, Yuchao Dai, Hongdong Li, Ruigang Yang:
Joint 3D Instance Segmentation and Object Detection for Autonomous Driving. 1836-1846 - Xin Wei, Ruixuan Yu, Jian Sun:
View-GCN: View-Based Graph Convolutional Network for 3D Shape Analysis. 1847-1856 - Huan Wang, Yijun Li, Yuehai Wang, Haoji Hu, Ming-Hsuan Yang:
Collaborative Distillation for Ultra-Resolution Universal Style Transfer. 1857-1866 - Guangming Zang, Ramzi Idoughi, Congli Wang, Anthony Bennett, Jianguo Du, Scott Skeen, William L. Roberts, Peter Wonka, Wolfgang Heidrich:
TomoFluid: Reconstructing Dynamic Fluid From Sparse View Videos. 1867-1876 - Tianyu Wang, Xiaowei Hu, Qiong Wang, Pheng-Ann Heng, Chi-Wing Fu:
Instance Shadow Detection. 1877-1886 - Yuhui Quan, Mingqin Chen, Tongyao Pang, Hui Ji:
Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image. 1887-1895 - Shangqian Gao, Feihu Huang, Jian Pei, Heng Huang:
Discrete Model Compression With Resource Constraint for Deep Neural Networks. 1896-1905 - Se Jung Kwon, Dongsoo Lee, Byeongwook Kim, Parichay Kapoor, Baeseong Park, Gu-Yeon Wei:
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization. 1906-1915 - Lei Li, Siyu Zhu, Hongbo Fu, Ping Tan, Chiew-Lan Tai:
End-to-End Learning Local Multi-View Descriptors for 3D Point Clouds. 1916-1925 - Banglei Guan, Ji Zhao, Zhang Li, Fang Sun, Friedrich Fraundorfer:
Minimal Solutions for Relative Pose With a Single Affine Correspondence. 1926-1935 - Xin Wen, Tianyang Li, Zhizhong Han, Yu-Shen Liu:
Point Cloud Completion by Skip-Attention Network With Hierarchical Folding. 1936-1945 - Zehao Yu, Shenghua Gao:
Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement. 1946-1955 - Haofei Xu, Juyong Zhang:
AANet: Adaptive Aggregation Network for Efficient Stereo Matching. 1956-1965 - Feng Zhu, Ruihao Gong, Fengwei Yu, Xianglong Liu, Yanfei Wang, Zhelong Li, Xiuqi Yang, Junjie Yan:
Towards Unified INT8 Training for Convolutional Neural Network. 1966-1976 - Fumihiko Sakaue, Jun Sato:
Active 3D Motion Visualization Based on Spatiotemporal Light-Ray Integration. 1977-1985 - Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang:
Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation. 1986-1995 - Shan You, Tao Huang, Mingmin Yang, Fei Wang, Chen Qian, Changshui Zhang:
GreedyNAS: Towards Fast One-Shot NAS With Greedy Supernet. 1996-2005 - Yang He, Yuhang Ding, Ping Liu, Linchao Zhu, Hanwang Zhang, Yi Yang:
Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration. 2006-2015 - Shaohui Liu, Yinda Zhang, Songyou Peng, Boxin Shi, Marc Pollefeys, Zhaopeng Cui:
DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing. 2016-2025 - Yicun Liu, Jimmy S. Ren, Jiawei Zhang, Jianbo Liu, Mude Lin:
Visually Imbalanced Stereo Matching. 2026-2035 - Yuesong Wang, Tao Guan, Zhuo Chen, Yawei Luo, Keyang Luo, Lili Ju:
Mesh-Guided Multi-View Stereo With Pyramid Architecture. 2036-2045 - Ziwei Wang, Ziyi Wu, Jiwen Lu, Jie Zhou:
BiDet: An Efficient Binarized Object Detector. 2046-2055 - Shaifali Parashar, Mathieu Salzmann, Pascal Fua:
Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings. 2056-2064 - Nicolas Scheiner, Florian Kraus, Fangyin Wei, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jürgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix Heide:
Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar. 2065-2074 - Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Hanrui Wang, Yujun Lin, Song Han:
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy. 2075-2084 - An Xu, Zhouyuan Huo, Heng Huang:
On the Acceleration of Deep Learning Model Parallelism With Staleness. 2085-2094 - Ji Hou, Angela Dai, Matthias Nießner:
RevealNet: Seeing Behind Objects in RGB-D Scans. 2095-2104 - Peiye Liu, Bo Wu, Huadong Ma, Mingoo Seok:
MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning. 2105-2113 - Matthew Tancik, Ben Mildenhall, Ren Ng:
StegaStamp: Invisible Hyperlinks in Physical Photographs. 2114-2123 - Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen:
L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks. 2124-2132 - Kenichiro Tanaka, Yasuhiro Mukaigawa, Achuta Kadambi:
Polarized Non-Line-of-Sight Imaging. 2133-2142 - Qing Jin, Linjie Yang, Zhenyu Liao:
AdaBits: Neural Network Quantization With Adaptive Bit-Widths. 2143-2153 - Hang Dong, Jinshan Pan, Lei Xiang, Zhe Hu, Xinyi Zhang, Fei Wang, Ming-Hsuan Yang:
Multi-Scale Boosted Dehazing Network With Dense Feature Fusion. 2154-2164 - Jiahui Huang, Sheng Yang, Tai-Jiang Mu, Shi-Min Hu:
ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings. 2165-2174 - Haichuan Yang, Shupeng Gui, Yuhao Zhu, Ji Liu:
Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach. 2175-2185 - Uday Kusupati, Shuo Cheng, Rui Chen, Hao Su:
Normal Assisted Stereo Depth Estimation. 2186-2196 - Zhe Zhang, Chunyu Wang, Wenhu Qin, Wenjun Zeng:
Fusing Wearable IMUs With Multi-View Images for Human Pose Estimation: A Geometric Approach. 2197-2206 - Victor Fragoso, Joseph DeGol, Gang Hua:
gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors. 2207-2216 - Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki:
Embodied Language Grounding With 3D Visual Feature Representations. 2217-2226 - Charles Herrmann, Richard Strong Bowen, Neal Wadhwa, Rahul Garg, Qiurui He, Jonathan T. Barron, Ramin Zabih:
Learning to Autofocus. 2227-2236 - Lin Liu, Xu Jia, Jianzhuang Liu, Qi Tian:
Joint Demosaicing and Denoising With Self Guidance. 2237-2246 - Haotong Qin, Ruihao Gong, Xianglong Liu, Mingzhu Shen, Ziran Wei, Fengwei Yu, Jingkuan Song:
Forward and Backward Information Retention for Accurate Binary Neural Networks. 2247-2256 - Jing Jin, Junhui Hou, Jie Chen, Sam Kwong:
Light Field Spatial Super-Resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization. 2257-2266 - Daniel Hernández Juárez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory G. Slabaugh, Steven McDonagh:
A Multi-Hypothesis Approach to Color Constancy. 2267-2277 - Ke Xu, Xin Yang, Baocai Yin, Rynson W. H. Lau:
Learning to Restore Low-Light Images via Decomposition-and-Enhancement. 2278-2287 - Soumyadip Sengupta, Vivek Jayaram, Brian Curless, Steven M. Seitz, Ira Kemelmacher-Shlizerman:
Background Matting: The World Is Your Green Screen. 2288-2297 - Huanjing Yue, Cong Cao, Lei Liao, Ronghe Chu, Jingyu Yang:
Supervised Raw Video Denoising With a Benchmark Dataset on Dynamic Scenes. 2298-2307 - Kenji Enomoto, Michael Waechter, Kiriakos N. Kutulakos, Yasuyuki Matsushita:
Photometric Stereo via Discrete Hypothesis-and-Test Search. 2308-2316 - Thomas Verelst, Tinne Tuytelaars:
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference. 2317-2326 - Xishan Zhang, Shaoli Liu, Rui Zhang, Chang Liu, Di Huang, Shiyi Zhou, Jiaming Guo, Qi Guo, Zidong Du, Tian Zhi, Yunji Chen:
Fixed-Point Back-Propagation Training. 2327-2335 - Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas:
Heterogeneous Knowledge Distillation Using Information Flow Modeling. 2336-2345 - Zhaowei Cai, Nuno Vasconcelos:
Rethinking Differentiable Search for Mixed-Precision Neural Networks. 2346-2355 - Jie Liu, Wenjie Zhang, Yuting Tang, Jie Tang, Gangshan Wu:
Residual Feature Aggregation Network for Image Super-Resolution. 2356-2365 - Le Yang, Yizeng Han, Xi Chen, Shiji Song, Jifeng Dai, Gao Huang:
Resolution Adaptive Networks for Efficient Inference. 2366-2375 - Sungyong Baik, Seokil Hong, Kyoung Mu Lee:
Learning to Forget for Meta-Learning. 2376-2384 - Yuesong Nan, Hui Ji:
Deep Learning for Handling Kernel/model Uncertainty in Image Deconvolution. 2385-2394 - Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Alex C. Kot:
Reflection Scene Separation From a Single Image. 2395-2403 - Chenchi Luo, Yingmao Li, Kaimo Lin, George Chen, Seok-Jun Lee, Jihwan Choi, Youngjun Francis Yoo, Michael O. Polley:
Wavelet Synthesis Net for Disparity Estimation to Synthesize DSLR Calibre Bokeh Effect on Smartphones. 2404-2412 - Joseph Ortiz, Mark Pupilli, Stefan Leutenegger, Andrew J. Davison:
Bundle Adjustment on a Graph Processor. 2413-2422 - Malte Pedersen, Joakim Bruslund Haurum, Stefan Hein Bengtson, Thomas B. Moeslund:
3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset. 2423-2433 - Sachit Menon, Alexandru Damian, Shijia Hu, Nikhil Ravi, Cynthia Rudin:
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models. 2434-2442 - Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov:
Scalability in Perception for Autonomous Driving: Waymo Open Dataset. 2443-2451
Oral 1-3A: 3D From a Single Image and Shape-From-X (2); 3D From Multiview and Sensors (2)
- Zhenpei Yang, Siming Yan, Qixing Huang:
Extreme Relative Pose Network Under Hybrid Representations. 2452-2461 - Andreas Meuleman, Seung-Hwan Baek, Felix Heide, Min H. Kim:
Single-Shot Monocular RGB-D Imaging Using Uneven Double Refraction. 2462-2471 - Zhengqin Li, Mohammad Shafiei, Ravi Ramamoorthi, Kalyan Sunkavalli, Manmohan Chandraker:
Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF From a Single Image. 2472-2481 - Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Allan Raventos, Adrien Gaidon:
3D Packing for Self-Supervised Monocular Depth Estimation. 2482-2491 - Xiaodong Gu, Zhiwen Fan, Siyu Zhu, Zuozhuo Dai, Feitong Tan, Ping Tan:
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching. 2492-2501 - Cenek Albl, Zuzana Kukelova, Viktor Larsson, Michal Polic, Tomás Pajdla, Konrad Schindler:
From Two Rolling Shutters to One Global Shutter. 2502-2510 - Christopher B. Choy, Wei Dong, Vladlen Koltun:
Deep Global Registration. 2511-2520 - Shuo Cheng, Zexiang Xu, Shilin Zhu, Zhuwen Li, Li Erran Li, Ravi Ramamoorthi, Hao Su:
Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness. 2521-2531 - Thomas Schöps, Viktor Larsson, Marc Pollefeys, Torsten Sattler:
Why Having 10, 000 Parameters in Your Camera Model Is Better Than Twelve. 2532-2541 - Mathieu Labussière, Céline Teulière, Frédéric Bernardin, Omar Ait-Aider:
Blur Aware Calibration of Multi-Focus Plenoptic Camera. 2542-2551 - Jinglei Shi, Xiaoran Jiang, Christine Guillemot:
Learning Fused Pixel and Feature-Based View Reconstructions for Light Fields. 2552-2561 - Matan Atzmon, Yaron Lipman:
SAL: Sign Agnostic Learning of Shapes From Raw Data. 2562-2571
Oral 1-3B: Image Retrieval; Datasets and Evaluation
- Tobias Weyand, André Araújo, Bingyi Cao, Jack Sim:
Google Landmarks Dataset v2 - A Large-Scale Benchmark for Instance-Level Recognition and Retrieval. 2572-2581 - Wenkai Dong, Zhaoxiang Zhang, Chunfeng Song, Tieniu Tan:
Instance Guided Proposal Network for Person Search. 2582-2591 - Yining Lang, Yuan He, Fan Yang, Jianfeng Dong, Hui Xue:
Which Is Plagiarism: Fashion Image Retrieval Based on Regional Representation for Design Protection. 2592-2601 - Zhiyi Cheng, Qi Dong, Shaogang Gong, Xiatian Zhu:
Inter-Task Association Critic for Cross-Resolution Person Re-Identification. 2602-2612 - Dian Shao, Yue Zhao, Bo Dai, Dahua Lin:
FineGym: A Hierarchical Video Dataset for Fine-Grained Action Understanding. 2613-2622 - Frederik Warburg, Søren Hauberg, Manuel López-Antequera, Pau Gargallo, Yubin Kuang, Javier Civera:
Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition. 2623-2632 - Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, Trevor Darrell:
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning. 2633-2642 - Yun Liu, Yu-Huan Wu, Yunfeng Ban, Huifang Wang, Ming-Ming Cheng:
Rethinking Computer-Aided Tuberculosis Diagnosis. 2643-2652 - Xi Yang, Ding Xia, Taichi Kin, Takeo Igarashi:
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning. 2653-2663 - Sen Jia, Neil D. B. Bruce:
Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve. 2664-2673 - Ciprian A. Corneanu, Sergio Escalera, Aleix M. Martínez:
Computing the Testing Error Without a Testing Set. 2674-2682 - Zhizhong Li, Derek Hoiem:
Improving Confidence Estimates for Unfamiliar Examples. 2683-2692
Oral 1-3C: Low-Level and Physics-Based Vision
- Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
CycleISP: Real Image Restoration via Improved Data Synthesis. 2693-2702 - Xiaoming Li, Wenyu Li, Dongwei Ren, Hongzhi Zhang, Meng Wang, Wangmeng Zuo:
Enhanced Blind Face Restoration With Multi-Exemplar Images and Adaptive Spatial Feature Fusion. 2703-2712 - Yuval Bahat, Tomer Michaeli:
Explorable Super Resolution. 2713-2722 - Rajeev Yasarla, Vishwanath A. Sindagi, Vishal M. Patel:
Syn2Real Transfer Learning for Image Deraining Using Gaussian Processes. 2723-2733 - Kaihao Zhang, Wenhan Luo, Yiran Zhong, Lin Ma, Björn Stenger, Wei Liu, Hongdong Li:
Deblurring by Realistic Blurring. 2734-2743 - Ziyu Wan, Bo Zhang, Dongdong Chen, Pan Zhang, Dong Chen, Jing Liao, Fang Wen:
Bringing Old Photos Back to Life. 2744-2754 - Kaixuan Wei, Ying Fu, Jiaolong Yang, Hua Huang:
A Physics-Based Noise Formation Model for Extreme Low-Light Raw Denoising. 2755-2764 - S. Mohammad Mostafavi I., Jonghyun Choi, Kuk-Jin Yoon:
Learning to Super Resolve Intensity Images From Events. 2765-2773 - Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen, Ling Shao:
Camouflaged Object Detection. 2774-2784
Poster 1-3P
- Nan Xue, Tianfu Wu, Song Bai, Fudong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr:
Holistically-Attracted Wireframe Parsing. 2785-2794 - Fuyang Zhang, Nelson Nauata, Yasutaka Furukawa:
Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction. 2795-2804 - Yuanjie Shao, Lerenhan Li, Wenqi Ren, Changxin Gao, Nong Sang:
Domain Adaptation for Image Dehazing. 2805-2814 - Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao:
Auto-Encoding Twin-Bottleneck Hashing. 2815-2824 - Mang Tik Chiu, Xingqian Xu, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Hrant Khachatrian, Hovnatan Karapetyan, Ivan Dozier, Greg Rose, David Wilson, Adrian Tudor, Naira Hovakimyan, Thomas S. Huang, Honghui Shi:
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis. 2825-2835 - Wenkai Dong, Zhaoxiang Zhang, Chunfeng Song, Tieniu Tan:
Bi-Directional Interaction Network for Person Search. 2836-2845 - Abhishek Badki, Orazio Gallo, Jan Kautz, Pradeep Sen:
Meshlet Priors for 3D Mesh Reconstruction. 2846-2855 - Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita:
Space-Time-Aware Multi-Resolution Video Enhancement. 2856-2865 - Xiang Li, Tianhan Wei, Yau Pun Chen, Yu-Wing Tai, Chi-Keung Tang:
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation. 2866-2875 - John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun:
MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation. 2876-2885 - Liming Jiang, Ren Li, Wayne Wu, Chen Qian, Chen Change Loy:
DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection. 2886-2895 - Yichao Yan, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ying Tai, Ling Shao:
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification. 2896-2905 - Jiahuan Zhou, Bing Su, Ying Wu:
Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification. 2906-2915 - Deng-Ping Fan, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Huazhu Fu, Ming-Ming Cheng:
Taking a Deeper Look at Co-Salient Object Detection. 2916-2926 - Yinlin Hu, Pascal Fua, Wei Wang, Mathieu Salzmann:
Single-Stage 6D Object Pose Estimation. 2927-2936 - Lei Han, Tian Zheng, Lan Xu, Lu Fang:
OccuSeg: Occupancy-Aware 3D Instance Segmentation. 2937-2946 - Chang Chen, Zhiwei Xiong, Xiaoming Liu, Feng Wu:
Camera Trace Erasing. 2947-2956 - Wenzhao Zheng, Jiwen Lu, Jie Zhou:
Deep Metric Learning via Adaptive Learnable Assessment. 2957-2966 - Jialun Liu, Yifan Sun, Chuchu Han, Zhaopeng Dou, Wenhui Li:
Deep Representation Learning on Long-Tailed Data: A Learnable Embedding Augmentation Perspective. 2967-2976 - Ming Jiang, Shi Chen, Jinhui Yang, Qi Zhao:
Fantastic Answers and Where to Find Them: Immersive Question-Directed Visual Attention. 2977-2986 - Zhixuan Yu, Jae Shin Yoon, In Kyu Lee, Prashanth Venkatesh, Jaesik Park, Jihun Yu, Hyun Soo Park:
HUMBI: A Large Multiview Dataset of Human Body Expressions. 2987-2997 - Yanbei Chen, Shaogang Gong, Loris Bazzani:
Image Search With Text Feedback by Visiolinguistic Attention Learning. 2998-3008 - Jinjin Gu, Yujun Shen, Bolei Zhou:
Image Processing Using Multi-Code GAN Prior. 3009-3018 - Qian Zheng, Jinnan Chen, Zhan Lu, Boxin Shi, Xudong Jiang, Kim-Hui Yap, Ling-Yu Duan, Alex C. Kot:
What Does Plate Glass Reveal About Camera Calibration? 3019-3029 - Fudong Wang, Nan Xue, Jin-Gang Yu, Gui-Song Xia:
Zero-Assignment Constraint for Graph Matching With Outliers. 3030-3039 - Jinshan Pan, Haoran Bai, Jinhui Tang:
Cascaded Deep Video Deblurring Using Temporal Sharpness Prior. 3040-3048 - Keren Fu, Deng-Ping Fan, Ge-Peng Ji, Qijun Zhao:
JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection. 3049-3059 - Wenhan Yang, Shiqi Wang, Yuming Fang, Yue Wang, Jiaying Liu:
From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement. 3060-3069 - Lei Zhang, Jiangtao Nie, Wei Wei, Yanning Zhang, Shengcai Liao, Ling Shao:
Unsupervised Adaptation Learning for Hyperspectral Imagery Super-Resolution. 3070-3079 - Li Yuan, Tao Wang, Xiaopeng Zhang, Francis E. H. Tay, Zequn Jie, Wei Liu, Jiashi Feng:
Central Similarity Quantization for Efficient Image and Video Retrieval. 3080-3089 - Zeng Huang, Yuanlu Xu, Christoph Lassner, Hao Li, Tony Tung:
ARCH: Animatable Reconstruction of Clothed Humans. 3090-3099 - Hong Wang, Qi Xie, Qian Zhao, Deyu Meng:
A Model-Driven Deep Neural Network for Single Image Rain Removal. 3100-3109 - Mohamed El Banani, Jason J. Corso, David F. Fouhey:
Novel Object Viewpoint Estimation Through Reconstruction Alignment. 3110-3119 - Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian:
Creating Something From Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing. 3120-3129 - Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim:
Evaluating Weakly Supervised Object Localization Methods Right. 3130-3139 - Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen, Li Zhang:
Style Normalization and Restitution for Generalizable Person Re-Identification. 3140-3149 - Ming Cai, Ian Reid:
Reconstruct Locally, Localize Globally: A Model Free Method for Object Pose Estimation. 3150-3160 - Matt Deitke, Winson Han, Alvaro Herrasti, Aniruddha Kembhavi, Eric Kolve, Roozbeh Mottaghi, Jordi Salvador, Dustin Schwenk, Eli VanderBilt, Matthew Wallingford, Luca Weihs, Mark Yatskar, Ali Farhadi:
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform. 3161-3171 - Ruoteng Li, Robby T. Tan, Loong-Fah Cheong:
All in One Bad Weather Removal Using Architectural Search. 3172-3182 - Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Xin Jin, Zhibo Chen:
Relation-Aware Global Attention for Person Re-Identification. 3183-3192 - Shreyas Hampali, Mahdi Rad, Markus Oberweger, Vincent Lepetit:
HOnnotate: A Method for 3D Annotation of Hand and Object Poses. 3193-3203 - Yuezun Li, Xin Yang, Pu Sun, Honggang Qi, Siwei Lyu:
Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics. 3204-3213 - Kai Zhang, Luc Van Gool, Radu Timofte:
Deep Unfolding Network for Image Super-Resolution. 3214-3223 - Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia:
On the Uncertainty of Self-Supervised Monocular Depth Estimation. 3224-3234 - Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak:
Proxy Anchor Loss for Deep Metric Learning. 3235-3244 - Yunfei Liu, Yu Li, Shaodi You, Feng Lu:
Unsupervised Learning for Intrinsic Image Decomposition From a Single Image. 3245-3254 - Jin Xiao, Shuhang Gu, Lei Zhang:
Multi-Domain Learning for Accurate and Few-Shot Color Constancy. 3255-3264 - Xueyang Wang, Xiya Zhang, Yinheng Zhu, Yuchen Guo, Xiaoyun Yuan, Liuyu Xiang, Zerun Wang, Guiguang Ding, David J. Brady, Qionghai Dai, Lu Fang:
PANDA: A Gigapixel-Level Human-Centric Video Dataset. 3265-3275 - Long Chen, Haizhou Ai, Rui Chen, Zijie Zhuang, Shuang Liu:
Cross-View Tracking for Multi-Human 3D Pose Estimation at Over 100 FPS. 3276-3285 - Jinrui Yang, Wei-Shi Zheng, Qize Yang, Ying-Cong Chen, Qi Tian:
Spatial-Temporal Graph Convolutional Network for Video-Based Person Re-Identification. 3286-3296 - Xuesong Chen, Canmiao Fu, Yong Zhao, Feng Zheng, Jingkuan Song, Rongrong Ji, Yi Yang:
Salience-Guided Cascaded Suppression Network for Person Re-Identification. 3297-3307 - Yen-Liang Lin, Son Dinh Tran, Larry S. Davis:
Fashion Outfit Complementary Item Retrieval. 3308-3316 - Zhe Jiang, Yu Zhang, Dongqing Zou, Jimmy S. J. Ren, Jiancheng Lv, Yebin Liu:
Learning Event-Based Motion Deblurring. 3317-3326 - Yunhan Zhao, Shu Kong, Daeyun Shin, Charless C. Fowlkes:
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation. 3327-3337 - Dongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo:
Neural Blind Deconvolution Using Deep Priors. 3338-3347 - Jie Li, Kai Han, Peng Wang, Yu Liu, Xia Yuan:
Anisotropic Convolutional Networks for 3D Semantic Scene Completion. 3348-3356 - Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu:
TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution. 3357-3366 - Xiaoyu Xiang, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P. Allebach, Chenliang Xu:
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution. 3367-3376 - Hailiang Xu, Siqi Xie, Fan Chen:
Fast MSER. 3377-3386 - Yutian Lin, Lingxi Xie, Yu Wu, Chenggang Yan, Qi Tian:
Unsupervised Person Re-Identification via Softened Similarity Learning. 3387-3396 - Shijie Yu, Shihua Li, Dapeng Chen, Rui Zhao, Junjie Yan, Yu Qiao:
COCAS: A Large-Scale Clothes Changing Person Dataset for Re-Identification. 3397-3406 - Ruilong Li, Karl Bladin, Yajie Zhao, Chinmay Chinara, Owen Ingraham, Pengda Xiang, Xinglei Ren, Pratusha Prasad, Bipin Kishore, Jun Xing, Hao Li:
Learning Formation of Physically-Based Face Attributes. 3407-3416 - Young Kyun Jang, Nam Ik Cho:
Generalized Product Quantization Network for Semi-Supervised Image Retrieval. 3417-3426 - Xu Cao, Michael Waechter, Boxin Shi, Ye Gao, Bo Zheng, Yasuyuki Matsushita:
Stereoscopic Flash and No-Flash Photography for Shape and Albedo Recovery. 3427-3436 - Zhuowan Li, Quan Tran, Long Mai, Zhe Lin, Alan L. Yuille:
Context-Aware Group Captioning via Self-Attention and Contrastive Features. 3437-3447 - Chenyan Wu, Yukun Chen, Jiajia Luo, Che-Chun Su, Anuja Dawane, Bikramjot Hanzra, Zhuo Deng, Bilan Liu, James Z. Wang, Cheng-Hao Kuo:
MEBOW: Monocular Estimation of Body Orientation in the Wild. 3448-3458 - Ming Hong, Yuan Xie, Cuihua Li, Yanyun Qu:
Distilling Image Dehazing With Heterogeneous Task Imitation. 3459-3468 - Miao Zhang, Weisong Ren, Yongri Piao, Zhengkun Rong, Huchuan Lu:
Select, Supplement and Focus for RGB-D Saliency Detection. 3469-3478 - Yoonsik Kim, Jae Woong Soh, Gu Yong Park, Nam Ik Cho:
Transfer Learning From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization. 3479-3489 - Carolin Schmitt, Simon Donné, Gernot Riegler, Vladlen Koltun, Andreas Geiger:
On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner. 3490-3500 - Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger:
Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision. 3501-3512 - Jae Woong Soh, Sunwoo Cho, Nam Ik Cho:
Meta-Transfer Learning for Zero-Shot Super-Resolution. 3513-3522 - Dov Bridger, Dov Danon, Ayellet Tal:
Solving Jigsaw Puzzles With Eroded Boundaries. 3523-3532 - Qi Zhang, Zhen Lei, Zhaoxiang Zhang, Stan Z. Li:
Context-Aware Attention Network for Image-Text Retrieval. 3533-3542 - Jianping Lin, Dong Liu, Houqiang Li, Feng Wu:
M-LVC: Multiple Frames Prediction for Learned Video Compression. 3543-3551 - Yuan Yuan, Wei Su, Dandan Ma:
Efficient Dynamic Scene Deblurring Using Spatially Variant Deconvolution Network With Optical Flow Guided Training. 3552-3561 - Chao Li, Yixiao Yang, Kun He, Stephen Lin, John E. Hopcroft:
Single Image Reflection Removal Through Cascaded Refinement. 3562-3571 - Zhenqiang Ying, Haoran Niu, Praful Gupta, Dhruv Mahajan, Deepti Ghadiyaram, Alan C. Bovik:
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality. 3572-3582 - Daniel Gehrig, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza:
Video to Events: Recycling Video Datasets for Event Cameras. 3583-3592 - Mehrdad Hosseinzadeh, Yang Wang:
Composed Query Image Retrieval Using Locally Bounded Features. 3593-3602 - Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan:
Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring. 3603-3612 - Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Guoping Qiu:
End-to-End Illuminant Estimation Based on Deep Metric Learning. 3613-3622 - Yuesong Nan, Yuhui Quan, Hui Ji:
Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring. 3623-3632 - Bolun Zheng, Shanxin Yuan, Gregory G. Slabaugh, Ales Leonardis:
Image Demoireing with Learnable Bandpass Filters. 3633-3642 - Tai-Yin Chiu, Yinan Zhao, Danna Gurari:
Assessing Image Quality Issues for Real-World Problems. 3643-3653 - Haokui Zhang, Ying Li, Hao Chen, Chunhua Shen:
Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising. 3654-3663 - Shaolin Su, Qingsen Yan, Yu Zhu, Cheng Zhang, Xin Ge, Jinqiu Sun, Yanning Zhang:
Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network. 3664-3673 - Yuming Fang, Hanwei Zhu, Yan Zeng, Kede Ma, Zhou Wang:
Perceptual Quality Assessment of Smartphone Photography. 3674-3683 - Haiyang Mei, Xin Yang, Yang Wang, Yuanyuan Liu, Shengfeng He, Qiang Zhang, Xiaopeng Wei, Rynson W. H. Lau:
Don't Hit Me! Glass Detection in Real-World Scenes. 3684-3693 - Jiaying Lin, Guodong Wang, Rynson W. H. Lau:
Progressive Mirror Detection. 3694-3702
Oral 1-4A: Scene Analysis and Understanding
- Xiaolong Li, He Wang, Li Yi, Leonidas J. Guibas, A. Lynn Abbott, Shuran Song:
Category-Level Articulated Object Pose Estimation. 3703-3712 - Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang:
Unbiased Scene Graph Generation From Biased Training. 3713-3722 - Li Zhang, Dan Xu, Anurag Arnab, Philip H. S. Torr:
Dynamic Graph Message Passing Networks. 3723-3732 - Alireza Zareian, Svebor Karaman, Shih-Fu Chang:
Weakly Supervised Visual Semantic Parsing. 3733-3742 - Xin Lin, Changxing Ding, Jinquan Zeng, Dacheng Tao:
GPS-Net: Graph Property Sensing Network for Scene Graph Generation. 3743-3752 - Andrew Luo, Zhoutong Zhang, Jiajun Wu, Joshua B. Tenenbaum:
End-to-End Optimization of Scene Layout. 3753-3762 - Fei Pan, Inkyu Shin, François Rameau, Seokju Lee, In So Kweon:
Unsupervised Intra-Domain Adaptation for Semantic Segmentation Through Self-Supervision. 3763-3772 - Li Wang, Dong Li, Yousong Zhu, Lu Tian, Yi Shan:
Dual Super-Resolution Learning for Semantic Segmentation. 3773-3782 - Xiaohang Zhan, Xingang Pan, Bo Dai, Ziwei Liu, Dahua Lin, Chen Change Loy:
Self-Supervised Scene De-Occlusion. 3783-3791 - Yifeng Chen, Guangchen Lin, Songyuan Li, Omar El Farouk Bourahla, Yiming Wu, Fangfang Wang, Junyi Feng, Mingliang Xu, Xi Li:
BANet: Bidirectional Aggregation Network With Occlusion Handling for Panoptic Segmentation. 3792-3801
Oral 1-4B: Medical, Biological and Cell Microscopy
- Han Yang, Xingjian Zhen, Ying Chi, Lei Zhang, Xian-Sheng Hua:
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries. 3802-3810 - Yuhang Liu, Fandong Zhang, Qianyi Zhang, Siwen Wang, Yizhou Wang, Yizhou Yu:
Cross-View Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection. 3811-3821 - Junya Hayashida, Kazuya Nishimura, Ryoma Bise:
MPM: Joint Representation of Motion and Position Map for Cell Tracking. 3822-3831 - Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Deep Distance Transform for Tubular Structure Segmentation in CT Scans. 3832-3841 - Victor Kulikov, Victor S. Lempitsky:
Instance Segmentation of Biological Images Using Harmonic Embeddings. 3842-3850 - Noriaki Hashimoto, Daisuke Fukushima, Ryoichi Koga, Yusuke Takagi, Kaho Ko, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Hidekata Hontani, Ichiro Takeuchi:
Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images. 3851-3860 - Sam Maksoud, Kun Zhao, Peter Hobson, Anthony Jennings, Brian C. Lovell:
SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification. 3861-3870
Oral 1-4C: Transfer/Low-Shot/Semi/Unsupervised Learning (1)
- Sungjoon Choi, Sanghoon Hong, Kyungjae Lee, Sungbin Lim:
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks. 3871-3880 - Da Zhang, Xiyang Dai, Yuan-Fang Wang:
METAL: Minimum Effort Temporal Activity Localization in Untrimmed Videos. 3881-3891 - Xi Yan, David Acuna, Sanja Fidler:
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data. 3892-3901 - Li Yuan, Francis E. H. Tay, Guilin Li, Tao Wang, Jiashi Feng:
Revisiting Knowledge Distillation via Label Smoothing Regularization. 3902-3910 - Liheng Zhang, Guo-Jun Qi:
WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning. 3911-3920 - Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song:
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. 3921-3929 - Davide Abati, Jakub Tomczak, Tijmen Blankevoort, Simone Calderara, Rita Cucchiara, Babak Ehteshami Bejnordi:
Conditional Channel Gated Networks for Task-Aware Continual Learning. 3930-3939 - Shuhao Cui, Shuhui Wang, Junbao Zhuo, Liang Li, Qingming Huang, Qi Tian:
Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations. 3940-3949
Poster 1-4P
- Dong Wang, Yuan Zhang, Kexin Zhang, Liwei Wang:
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection. 3950-3959 - Johanna Wald, Helisa Dhamo, Nassir Navab, Federico Tombari:
Learning 3D Semantic Scene Graphs From 3D Indoor Reconstructions. 3960-3969 - Siva Karthik Mustikovela, Varun Jampani, Shalini De Mello, Sifei Liu, Umar Iqbal, Carsten Rother, Jan Kautz:
Self-Supervised Viewpoint Learning From Image Collections. 3970-3980 - Mark Boss, Varun Jampani, Kihwan Kim, Hendrik P. A. Lensch, Jan Kautz:
Two-Shot Spatially-Varying BRDF and Shape Estimation. 3981-3990 - Zhitong Xiong, Yuan Yuan, Nianhui Guo, Qi Wang:
Variational Context-Deformable ConvNets for Indoor Scene Parsing. 3991-4001 - Qibin Hou, Li Zhang, Ming-Ming Cheng, Jiashi Feng:
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing. 4002-4011 - Qi Fan, Wei Zhuo, Chi-Keung Tang, Yu-Wing Tai:
Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector. 4012-4021 - Jiahua Dong, Yang Cong, Gan Sun, Bineng Zhong, Xiaowei Xu:
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation. 4022-4031 - Qier Meng, Shin'ichi Satoh:
ADINet: Attribute Driven Incremental Network for Retinal Image Classification. 4032-4041 - Lanqing Hu, Meina Kan, Shiguang Shan, Xilin Chen:
Unsupervised Domain Adaptation With Hierarchical Gradient Synchronization. 4042-4051 - Zhiheng Li, Wenxuan Bao, Jiayang Zheng, Chenliang Xu:
Deep Grouping Model for Unified Perceptual Parsing. 4052-4062 - Yujiao Shi, Xin Yu, Dylan Campbell, Hongdong Li:
Where Am I Looking At? Joint Location and Orientation Estimation by Cross-View Matching. 4063-4071 - Xiangrui Zeng, Min Xu:
Gum-Net: Unsupervised Geometric Matching for Fast and Accurate 3D Subtomogram Image Alignment and Averaging. 4072-4083 - Yanchao Yang, Stefano Soatto:
FDA: Fourier Domain Adaptation for Semantic Segmentation. 4084-4094 - Zhuo Zheng, Yanfei Zhong, Junjue Wang, Ailong Ma:
Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery. 4095-4104 - Yen-Cheng Liu, Junjiao Tian, Nathaniel Glaser, Zsolt Kira:
When2com: Multi-Agent Perception via Communication Graph Grouping. 4105-4114 - Tiancai Wang, Tong Yang, Martin Danelljan, Fahad Shahbaz Khan, Xiangyu Zhang, Jian Sun:
Learning Human-Object Interaction Detection Using Interaction Points. 4115-4124 - Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L. Yuille, Daguang Xu:
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation. 4125-4134 - Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi:
Adaptive Subspaces for Few-Shot Learning. 4135-4144 - Fa-Ting Hong, Weihong Li, Wei-Shi Zheng:
Learning to Detect Important People in Unlabelled Images for Semi-Supervised Important People Detection. 4145-4153 - Ying Chen, Chun-Guang Li, Chong You:
Stochastic Sparse Subspace Clustering. 4154-4163 - Weide Liu, Chi Zhang, Guosheng Lin, Fayao Liu:
CRNet: Cross-Reference Networks for Few-Shot Segmentation. 4164-4172 - Wanyu Lin, Zhaolin Gao, Baochun Li:
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data. 4173-4181 - Paul Bergmann, Michael Fauser, David Sattlegger, Carsten Steger:
Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings. 4182-4191 - Xiaokang Chen, Kwan-Yee Lin, Chen Qian, Gang Zeng, Hongsheng Li:
3D Sketch-Aware Semantic Scene Completion via Semi-Supervised Structure Prior. 4192-4201 - Peiwen Lin, Peng Sun, Guangliang Cheng, Sirui Xie, Xi Li, Jianping Shi:
Graph-Guided Architecture Search for Real-Time Semantic Segmentation. 4202-4211 - Debang Li, Junge Zhang, Kaiqi Huang, Ming-Hsuan Yang:
Composing Good Shots by Exploiting Mutual Relations. 4212-4221 - Dazhou Guo, Dakai Jin, Zhuotun Zhu, Tsung-Ying Ho, Adam P. Harrison, Chun-Hung Chao, Jing Xiao, Le Lu:
Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search. 4222-4231 - Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Ales Leonardis:
G2L-Net: Global to Local Network for Real-Time 6D Pose Estimation With Embedding Vector Features. 4232-4241 - Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai:
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting. 4242-4251 - Nikita Araslanov, Stefan Roth:
Single-Stage Semantic Segmentation From Image Labels. 4252-4261 - Tianfei Zhou, Wenguan Wang, Siyuan Qi, Haibin Ling, Jianbing Shen:
Cascaded Human-Object Interaction Recognition. 4262-4271 - Bo Zhou, S. Kevin Zhou:
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction With Deep T1 Prior. 4272-4281 - Junsong Fan, Zhaoxiang Zhang, Chunfeng Song, Tieniu Tan:
Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation. 4282-4291 - Yiqun Lin, Zizheng Yan, Haibin Huang, Dong Du, Ligang Liu, Shuguang Cui, Xiaoguang Han:
FPConv: Learning Local Flattening for Point Convolution. 4292-4301 - Qin Yang, Chenglin Li, Wenrui Dai, Junni Zou, Guo-Jun Qi, Hongkai Xiong:
Rotation Equivariant Graph Convolutional Network for Spherical Image Classification. 4302-4311 - Hanchao Yu, Shanhui Sun, Haichao Yu, Xiao Chen, Honghui Shi, Thomas S. Huang, Terrence Chen:
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation. 4312-4322 - Sharon Fogel, Hadar Averbuch-Elor, Sarel Cohen, Shai Mazor, Roee Litman:
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation. 4323-4332 - Fengmao Lv, Tao Liang, Xiang Chen, Guosheng Lin:
Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer. 4333-4342 - Linchao Zhu, Yi Yang:
Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition. 4343-4352 - Osama Makansi, Özgün Çiçek, Kevin Buchicchio, Thomas Brox:
Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View With a Reachability Prior. 4353-4362 - Haifeng Xia, Zhengming Ding:
Structure Preserving Generative Cross-Domain Learning. 4363-4372 - Yifan Yang, Guorong Li, Zhe Wu, Li Su, Qingming Huang, Nicu Sebe:
Reverse Perspective Network for Perspective-Aware Object Counting. 4373-4382 - Jiacheng Wei, Guosheng Lin, Kim-Hui Yap, Tzu-Yi Hung, Lihua Xie:
Multi-Path Region Mining for Weakly Supervised 3D Semantic Segmentation on Point Clouds. 4383-4392 - Renjun Xu, Pelen Liu, Liyan Wang, Chao Chen, Jindong Wang:
Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation. 4393-4402 - Charles R. Qi, Xinlei Chen, Or Litany, Leonidas J. Guibas:
ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes. 4403-4412 - Buyu Liu, Bingbing Zhuang, Samuel Schulter, Pan Ji, Manmohan Chandraker:
Understanding Road Layout From Videos as a Whole. 4413-4422 - Zhiwei Hu, Guang Feng, Jiayu Sun, Lihe Zhang, Huchuan Lu:
Bi-Directional Relationship Inferring Network for Referring Image Segmentation. 4423-4432 - Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Perspective Plane Program Induction From a Single Image. 4433-4442 - Jian Wang, Miaomiao Zhang:
DeepFLASH: An Efficient Network for Learning-Based Medical Image Registration. 4443-4451 - Yaxing Wang, Salman H. Khan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan:
Semi-Supervised Learning for Few-Shot Image-to-Image Translation. 4452-4461 - Yanbin Liu, Linchao Zhu, Makoto Yamada, Yi Yang:
Semantic Correspondence as an Optimal Transport Problem. 4462-4471 - Camilo Fosco, Anelise Newman, Pat Sukhum, Yun Bin Zhang, Nanxuan Zhao, Aude Oliva, Zoya Bylinskii:
How Much Time Do You Have? Modeling Multi-Duration Saliency. 4472-4481 - Dat Huynh, Ehsan Elhamifar:
Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention. 4482-4492 - Zhenyu Zhang, Stéphane Lathuilière, Elisa Ricci, Nicu Sebe, Yan Yan, Jian Yang:
Online Depth Learning Against Forgetting in Monocular Videos. 4493-4502 - Lingjing Wang, Xiang Li, Yi Fang:
Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation. 4503-4512 - Ling Zhou, Zhen Cui, Chunyan Xu, Zhenyu Zhang, Chaoqun Wang, Tong Zhang, Jian Yang:
Pattern-Structure Diffusion for Multi-Task Learning. 4513-4522 - Zhen Wang, Guosheng Hu, Qinghua Hu:
Training Noise-Robust Deep Neural Networks via Meta-Learning. 4523-4532 - Jiazhao Zhang, Chenyang Zhu, Lintao Zheng, Kai Xu:
Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation. 4533-4542 - Jogendra Nath Kundu, Naveen Venkat, Rahul M. V., R. Venkatesh Babu:
Universal Source-Free Domain Adaptation. 4543-4552 - Beibei Jin, Yu Hu, Qiankun Tang, Jingyu Niu, Zhiping Shi, Yinhe Han, Xiaowei Li:
Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction. 4553-4562 - Akshay Dudhane, Kuldeep Marotirao Biradar, Prashant W. Patil, Praful Hambarde, Subrahmanyam Murala:
Varicolored Image De-Hazing. 4563-4572 - Hanyu Shi, Guosheng Lin, Hao Wang, Tzu-Yi Hung, Zhenhua Wang:
SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds. 4573-4582 - Tushar Sandhan, Jin Young Choi:
Separating Particulate Matter From a Single Microscopic Image. 4583-4592 - Shuai Bai, Zhiqun He, Yu Qiao, Hanzhe Hu, Wei Wu, Junjie Yan:
Adaptive Dilated Network With Self-Correction Supervision for Counting. 4593-4602 - Sourabh Vora, Alex H. Lang, Bassam Helou, Oscar Beijbom:
PointPainting: Sequential Fusion for 3D Object Detection. 4603-4611 - Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka:
Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications. 4612-4622 - Linjun Zhou, Peng Cui, Xu Jia, Shiqiang Yang, Qi Tian:
Learning to Select Base Classes for Few-Shot Classification. 4623-4632 - Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn:
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus. 4633-4642 - Tony C. W. Mok, Albert C. S. Chung:
Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks. 4643-4652 - Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Luigi Di Stefano, Stefano Mattoccia:
Distilled Semantics for Comprehensive Scene Understanding from Videos. 4653-4664 - Edward Kim, Jocelyn Rego, Yijing Watkins, Garrett T. Kenyon:
Modeling Biological Immunity to Adversarial Examples. 4665-4674 - Ashraful Islam, Chengjiang Long, Arslan Basharat, Anthony Hoogs:
DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization. 4675-4684 - Sebastian Weiss, Robert Maier, Daniel Cremers, Rüdiger Westermann, Nils Thuerey:
Correspondence-Free Material Reconstruction using Sparse Surface Constraints. 4685-4694 - Shawn Mathew, Saad Nadeem, Sruti Kumari, Arie E. Kaufman:
Augmenting Colonoscopy Using Extended and Directional CycleGAN for Lossy Image Translation. 4695-4704 - Xiaoheng Jiang, Li Zhang, Mingliang Xu, Tianzhu Zhang, Pei Lv, Bing Zhou, Xin Yang, Yanwei Pang:
Attention Scaling for Crowd Counting. 4705-4714 - Jan Bednarík, Shaifali Parashar, Erhan Gündogdu, Mathieu Salzmann, Pascal Fua:
Shape Reconstruction by Learning Differentiable Surface Representations. 4715-4724 - Yuyu Guo, Lei Bi, Euijoon Ahn, Dagan Feng, Qian Wang, Jinman Kim:
A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image. 4725-4734 - Thilini Cooray, Ngai-Man Cheung, Wei Lu:
Attention-Based Context Aware Reasoning for Situation Recognition. 4735-4744 - Kamal Gupta, Saurabh Singh, Abhinav Shrivastava:
PatchVAE: Learning Local Latent Codes for Recognition. 4745-4754 - Adrian Johnston, Gustavo Carneiro:
Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume. 4755-4764 - Antigoni Tsiami, Petros Koutras, Petros Maragos:
STAViS: Spatio-Temporal AudioVisual Saliency Network. 4765-4775 - Yuanen Zhou, Meng Wang, Daqing Liu, Zhenzhen Hu, Hanwang Zhang:
More Grounded Image Captioning by Distilling Image-Text Matching Model. 4776-4785 - Deblina Bhattacharjee, Seungryong Kim, Guillaume Vizier, Mathieu Salzmann:
DUNIT: Detection-Based Unsupervised Image-to-Image Translation. 4786-4795 - Alan Dolhasz, Carlo Harvey, Ian Williams:
Learning to Observe: Approximating Human Perceptual Thresholds for Detection of Suprathreshold Image Transformations. 4796-4806 - Fawaz Sammani, Luke Melas-Kyriazi:
Show, Edit and Tell: A Framework for Editing Image Captions. 4807-4815 - Hong Joo Lee, Jung Uk Kim, Sangmin Lee, Hak Gu Kim, Yong Man Ro:
Structure Boundary Preserving Segmentation for Medical Image With Ambiguous Boundary. 4816-4825 - Lyujian Lu, Hua Wang, Saad Elbeleidy, Feiping Nie:
Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers. 4826-4835 - Yu Zhao, Fan Yang, Yuqi Fang, Hailing Liu, Niyun Zhou, Jun Zhang, Jiarui Sun, Sen Yang, Bjoern H. Menze, Xinjuan Fan, Jianhua Yao:
Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution. 4836-4845 - Xingtong Liu, Yiping Zheng, Benjamin Killeen, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath:
Extremely Dense Point Correspondences Using a Learned Feature Descriptor. 4846-4855
Oral 2-1A: 3D From Multiview and Sensors (3)
- Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, Thomas A. Funkhouser:
Local Deep Implicit Functions for 3D Shape. 4856-4865 - Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, Jiaya Jia:
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation. 4866-4875 - Jiayu Yang, Wei Mao, José M. Álvarez, Miaomiao Liu:
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo. 4876-4885 - Silvan Weder, Johannes L. Schönberger, Marc Pollefeys, Martin R. Oswald:
RoutedFusion: Learning Real-Time Depth Map Fusion. 4886-4896 - Zhixiang Min, Yiding Yang, Enrique Dunn:
VOLDOR: Visual Odometry From Log-Logistic Dense Optical Flow Residuals. 4897-4908 - Yang Li, Aljaz Bozic, Tianwei Zhang, Yanli Ji, Tatsuya Harada, Matthias Nießner:
Learning to Optimize Non-Rigid Tracking. 4909-4917 - Lei Zhou, Zixin Luo, Tianwei Shen, Jiahui Zhang, Mingmin Zhen, Yao Yao, Tian Fang, Long Quan:
KFNet: Learning Temporal Camera Relocalization Using Kalman Filtering. 4918-4927 - Alejandro Fontán, Javier Civera, Rudolph Triebel:
Information-Driven Direct RGB-D Odometry. 4928-4936 - Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich:
SuperGlue: Learning Feature Matching With Graph Neural Networks. 4937-4946 - Aritra Bhowmik, Stefan Gumhold, Carsten Rother, Eric Brachmann:
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task. 4947-4956
Oral 2-1B: Face, Gesture, and Body Pose (1)
- Wenbin Zhu, HsiangTao Wu, Zeyu Chen, Noranart Vesdapunt, Baoyuan Wang:
ReDA: Reinforced Differentiable Attribute for 3D Face Reconstruction. 4957-4966 - Lan Xu, Weipeng Xu, Vladislav Golyanik, Marc Habermann, Lu Fang, Christian Theobalt:
EventCap: Monocular 3D Capture of High-Speed Human Motions Using an Event Camera. 4967-4977 - Victoria Fernández Abrevaya, Adnane Boukhayma, Philip H. S. Torr, Edmond Boyer:
Cross-Modal Deep Face Normals With Deactivable Skip Connections. 4978-4988 - Dominik Kulon, Riza Alp Güler, Iasonas Kokkinos, Michael M. Bronstein, Stefanos Zafeiriou:
Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild. 4989-4999 - Lingzhi Li, Jianmin Bao, Ting Zhang, Hao Yang, Dong Chen, Fang Wen, Baining Guo:
Face X-Ray for More General Face Forgery Detection. 5000-5009 - William A. P. Smith, Alassane Seck, Hannah Dee, Bernard Tiddeman, Joshua B. Tenenbaum, Bernhard Egger:
A Morphable Face Albedo Model. 5010-5019 - Rongliang Wu, Gongjie Zhang, Shijian Lu, Tao Chen:
Cascade EF-GAN: Progressive Facial Expression Editing With Local Focuses. 5020-5029 - Enric Corona, Albert Pumarola, Guillem Alenyà, Francesc Moreno-Noguer, Grégory Rogez:
GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes. 5030-5040 - Zezheng Wang, Zitong Yu, Chenxu Zhao, Xiangyu Zhu, Yunxiao Qin, Qiusheng Zhou, Feng Zhou, Zhen Lei:
Deep Spatial Gradient and Temporal Depth Learning for Face Anti-Spoofing. 5041-5050 - Marc Habermann, Weipeng Xu, Michael Zollhöfer, Gerard Pons-Moll, Christian Theobalt:
DeepCap: Monocular Human Performance Capture Using Weak Supervision. 5051-5062 - Ruixu Liu, Ju Shen, He Wang, Chen Chen, Sen-Ching S. Cheung, Vijayan K. Asari:
Attention Mechanism Exploits Temporal Contexts: Real-Time 3D Human Pose Reconstruction. 5063-5072 - Lingzhi Li, Jianmin Bao, Hao Yang, Dong Chen, Fang Wen:
Advancing High Fidelity Identity Swapping for Forgery Detection. 5073-5082
Oral 2-1C: Image and Video Synthesis (1)
- Yifang Men, Yiming Mao, Yuning Jiang, Wei-Ying Ma, Zhouhui Lian:
Controllable Person Image Synthesis With Attribute-Decomposed GAN. 5083-5092 - Yi Wang, Ying-Cong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia:
Attentive Normalization for Conditional Image Generation. 5093-5102 - Peihao Zhu, Rameen Abdal, Yipeng Qin, Peter Wonka:
SEAN: Image Synthesis With Semantic Region-Adaptive Normalization. 5103-5112 - Wang Shen, Wenbo Bao, Guangtao Zhai, Li Chen, Xiongkuo Min, Zhiyong Gao:
Blurry Video Frame Interpolation. 5113-5122 - Thomas Nestmeyer, Jean-François Lalonde, Iain A. Matthews, Andreas M. Lehrmann:
Learning Physics-Guided Face Relighting Under Directional Light. 5123-5132 - Yazeed Alharbi, Peter Wonka:
Disentangled Image Generation Through Structured Noise Injection. 5133-5141 - Pan Zhang, Bo Zhang, Dong Chen, Lu Yuan, Fang Wen:
Cross-Domain Correspondence Learning for Exemplar-Based Image Translation. 5142-5152 - Yu Deng, Jiaolong Yang, Dong Chen, Fang Wen, Xin Tong:
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning. 5153-5162 - Soomin Kim, Yuchi Huo, Sung-Eui Yoon:
Single Image Reflection Removal With Physically-Based Training Images. 5163-5172 - Chengying Gao, Qi Liu, Qi Xu, Limin Wang, Jianzhuang Liu, Changqing Zou:
SketchyCOCO: Image Generation From Freehand Scene Sketches. 5173-5182 - Assaf Neuberger, Eran Borenstein, Bar Hilleli, Eduard Oks, Sharon Alpert:
Image Based Virtual Try-On Network From Unpaired Data. 5183-5192 - Wentao Jiang, Si Liu, Chen Gao, Jie Cao, Ran He, Jiashi Feng, Shuicheng Yan:
PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer. 5193-5201
Poster 2-1P
- Jiankang Deng, Jia Guo, Evangelos Ververas, Irene Kotsia, Stefanos Zafeiriou:
RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild. 5202-5211 - Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht:
Semantic Image Manipulation Using Scene Graphs. 5212-5221 - Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould:
A Stochastic Conditioning Scheme for Diverse Human Motion Prediction. 5222-5231 - Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova:
Transferring Dense Pose to Proximal Animal Classes. 5232-5241 - Umar Iqbal, Pavlo Molchanov, Jan Kautz:
Weakly-Supervised 3D Human Pose Learning via Multi-View Images in the Wild. 5242-5251 - Muhammed Kocabas, Nikos Athanasiou, Michael J. Black:
VIBE: Video Inference for Human Body Pose and Shape Estimation. 5252-5262 - Yaohui Wang, Piotr Bilinski, François Brémond, Antitza Dantcheva:
G3AN: Disentangling Appearance and Motion for Video Generation. 5263-5272 - Ying-Cong Chen, Xiaogang Xu, Jiaya Jia:
Domain Adaptive Image-to-Image Translation. 5273-5282 - Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han:
GAN Compression: Efficient Architectures for Interactive Conditional GANs. 5283-5293 - Zitong Yu, Chenxu Zhao, Zezheng Wang, Yunxiao Qin, Zhuo Su, Xiaobai Li, Feng Zhou, Guoying Zhao:
Searching Central Difference Convolutional Networks for Face Anti-Spoofing. 5294-5304 - Zhuoqian Yang, Wentao Zhu, Wayne Wu, Chen Qian, Qiang Zhou, Bolei Zhou, Chen Change Loy:
TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting. 5305-5314 - Hyeongmin Lee, Taeoh Kim, Tae-Young Chung, Daehyun Pak, Yuseok Ban, Sangyoun Lee:
AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation. 5315-5324 - Jiangning Zhang, Xianfang Zeng, Mengmeng Wang, Yusu Pan, Liang Liu, Yong Liu, Yu Ding, Changjie Fan:
FReeNet: Multi-Identity Face Reenactment. 5325-5334 - Jae Shin Yoon, Kihwan Kim, Orazio Gallo, Hyun Soo Park, Jan Kautz:
Novel View Synthesis of Dynamic Scenes With Globally Coherent Depths From a Monocular Camera. 5335-5344 - Yuxiao Zhou, Marc Habermann, Weipeng Xu, Ikhsanul Habibie, Christian Theobalt, Feng Xu:
Monocular Real-Time Hand Shape and Motion Capture Using Multi-Modal Data. 5345-5354 - Garoe Dorta, Sara Vicente, Neill D. F. Campbell, Ivor J. A. Simpson:
The GAN That Warped: Semantic Attribute Editing With Unpaired Data. 5355-5364 - Aayush Bansal, Minh Vo, Yaser Sheikh, Deva Ramanan, Srinivasa G. Narasimhan:
4D Visualization of Dynamic Events From Unconstrained Multi-View Videos. 5365-5374 - Yongming Rao, Jiwen Lu, Jie Zhou:
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds. 5375-5384 - Bowen Cheng, Bin Xiao, Jingdong Wang, Honghui Shi, Thomas S. Huang, Lei Zhang:
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation. 5385-5394 - Eunji Chong, Yongxin Wang, Nataniel Ruiz, James M. Rehg:
Detecting Attended Visual Targets in Video. 5395-5405 - Yong Guo, Jian Chen, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Mingkui Tan:
Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution. 5406-5415 - Konstantinos Rematas, Vittorio Ferrari:
Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool. 5416-5426 - Difan Liu, Mohamed Nabail, Aaron Hertzmann, Evangelos Kalogerakis:
Neural Contours: Learning to Draw Lines From 3D Shapes. 5427-5435 - Simon Niklaus, Feng Liu:
Softmax Splatting for Video Frame Interpolation. 5436-5445 - Maxim Maximov, Ismail Elezi, Laura Leal-Taixé:
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks. 5446-5455 - Mang Ye, Jianbing Shen:
Probabilistic Structural Latent Representation for Unsupervised Embedding. 5456-5465 - Zhen Zhu, Zhiliang Xu, Ansheng You, Xiang Bai:
Semantically Multi-Modal Image Synthesis. 5466-5475 - Lingzhi Zhang, Jiancong Wang, Yinshuang Xu, Jie Min, Tarmily Wen, James C. Gee, Jianbo Shi:
Nested Scale-Editing for Conditional Image Synthesis. 5476-5486 - Wu Shi, Yu Qiao:
Fast Texture Synthesis via Pseudo Optimizer. 5497-5506 - Iacopo Masi, Joe Mathai, Wael AbdAlmageed:
Towards Learning Structure via Consensus for Face Segmentation and Parsing. 5507-5517 - Bin Zhu, Chong-Wah Ngo:
CookGAN: Causality Based Text-to-Image Synthesis. 5518-5526 - Hong-Xing Yu, Wei-Shi Zheng:
Weakly Supervised Discriminative Feature Learning With State Information for Person Identification. 5527-5537 - Yue Wu, Rongrong Gao, Jaesik Park, Qifeng Chen:
Future Video Synthesis With Object Motion Prediction. 5538-5547 - Cheng-Han Lee, Ziwei Liu, Lingyun Wu, Ping Luo:
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation. 5548-5557 - Huu Le, Christopher Zach:
A Graduated Filter Method for Large Scale Robust Estimation. 5558-5567 - Cheng Ma, Zhenyu Jiang, Yongming Rao, Jiwen Lu, Jie Zhou:
Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation. 5568-5577 - Wen Jiang, Nikos Kolotouros, Georgios Pavlakos, Xiaowei Zhou, Kostas Daniilidis:
Coherent Reconstruction of Multiple Humans From a Single Image. 5578-5587 - Xu Yan, Chaoda Zheng, Zhen Li, Sheng Wang, Shuguang Cui:
PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling. 5588-5597 - Zhang Chen, Anpei Chen, Guli Zhang, Chengyuan Wang, Yu Ji, Kiriakos N. Kutulakos, Jingyi Yu:
A Neural Rendering Framework for Free-Viewpoint Relighting. 5598-5609 - Zhihao Chen, Lei Zhu, Liang Wan, Song Wang, Wei Feng, Pheng-Ann Heng:
A Multi-Task Mean Teacher for Semi-Supervised Shadow Detection. 5610-5619 - Yonghyun Kim, Wonpyo Park, Myung-Cheol Roh, Jongju Shin:
GroupFace: Learning Latent Groups and Constructing Group-Based Representations for Face Recognition. 5620-5629 - Xibin Song, Yuchao Dai, Dingfu Zhou, Liu Liu, Wei Li, Hongdong Li, Ruigang Yang:
Channel Attention Based Iterative Residual Learning for Depth Map Super-Resolution. 5630-5639 - Chia-Chi Cheng, Hung-Yu Chen, Wei-Chen Chiu:
Time Flies: Animating a Still Image With Time-Lapse Video As Reference. 5640-5649 - Philipp Terhörst, Jan Niklas Kolf, Naser Damer, Florian Kirchbuchner, Arjan Kuijper:
SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness. 5650-5659 - Qiangeng Xu, Xudong Sun, Cho-Ying Wu, Panqu Wang, Ulrich Neumann:
Grid-GCN for Fast and Scalable Point Cloud Learning. 5660-5669 - Dong Cao, Xiangyu Zhu, Xingyu Huang, Jianzhu Guo, Zhen Lei:
Domain Balancing: Face Recognition on Long-Tailed Domains. 5670-5678 - Chen Gao, Yunpeng Chen, Si Liu, Zhenxiong Tan, Shuicheng Yan:
AdversarialNAS: Adversarial Neural Architecture Search for GANs. 5679-5688 - Yiqun Mei, Yuchen Fan, Yuqian Zhou, Lichao Huang, Thomas S. Huang, Honghui Shi:
Image Super-Resolution With Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining. 5689-5698 - Junjie Huang, Zheng Zhu, Feng Guo, Guan Huang:
The Devil Is in the Details: Delving Into Unbiased Data Processing for Human Pose Estimation. 5699-5708 - Jie Chang, Zhonghao Lan, Changmao Cheng, Yichen Wei:
Data Uncertainty Learning in Face Recognition. 5709-5718 - Yi Liu, Guangchang Deng, Xiangping Zeng, Si Wu, Zhiwen Yu, Hau-San Wong:
Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning. 5719-5728 - Wenxuan Wang, Yanwei Fu, Xuelin Qian, Yu-Gang Jiang, Qi Tian, Xiangyang Xue:
FM2u-Net: Face Morphological Multi-Branch Network for Makeup-Invariant Face Verification. 5729-5739 - Lei Zhao, Qihang Mo, Sihuan Lin, Zhizhong Wang, Zhiwen Zuo, Haibo Chen, Wei Xing, Dongming Lu:
UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation. 5740-5749 - Jianbo Liu, Yongcheng Liu, Ying Wang, Véronique Prinet, Shiming Xiang, Chunhong Pan:
Decoupled Representation Learning for Skeleton-Based Gesture Recognition. 5750-5759 - Yuecong Min, Yanxiao Zhang, Xiujuan Chai, Xilin Chen:
An Efficient PointLSTM for Point Clouds Based Gesture Recognition. 5760-5769 - Edo Collins, Raja Bala, Bob Price, Sabine Süsstrunk:
Editing in Style: Uncovering the Local Semantics of GANs. 5770-5779 - Hao Dang, Feng Liu, Joel Stehouwer, Xiaoming Liu, Anil K. Jain:
On the Detection of Digital Face Manipulation. 5780-5789 - Fuzhi Yang, Huan Yang, Jianlong Fu, Hongtao Lu, Baining Guo:
Learning Texture Transformer Network for Image Super-Resolution. 5790-5799 - Junsoo Lee, Eungyeup Kim, Yunsung Lee, Dongjun Kim, Jaehyuk Chang, Jaegul Choo:
Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence. 5800-5809 - Adam Kaufman, Raanan Fattal:
Deblurring Using Analysis-Synthesis Networks Pair. 5810-5819 - Hyojin Bahng, Sunghyo Chung, Seungjoo Yoo, Jaegul Choo:
Exploring Unlabeled Faces for Novel Attribute Discovery. 5820-5829 - Jiashun Wang, Chao Wen, Yanwei Fu, Haitao Lin, Tianyun Zou, Xiangyang Xue, Yinda Zhang:
Neural Pose Transfer by Spatially Adaptive Instance Normalization. 5830-5838 - Wei Xiong, Yutong He, Yixuan Zhang, Wenhan Luo, Lin Ma, Jiebo Luo:
Fine-Grained Image-to-Image Transformation Towards Visual Recognition. 5839-5848 - Ziqian Bai, Zhaopeng Cui, Jamal Ahmed Rahim, Xiaoming Liu, Ping Tan:
Deep Facial Non-Rigid Multi-View Stereo. 5849-5859 - Prashanth Chandran, Derek Bradley, Markus Gross, Thabo Beeler:
Attention-Driven Cropping for Very High Resolution Facial Landmark Detection. 5860-5869 - Yiyi Liao, Katja Schwarz, Lars M. Mescheder, Andreas Geiger:
Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis. 5870-5879 - Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge J. Belongie, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao:
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection. 5880-5889 - Jiangke Lin, Yi Yuan, Tianjia Shao, Kun Zhou:
Towards High-Fidelity 3D Face Reconstruction From In-the-Wild Images Using Graph Convolutional Networks. 5890-5899 - Yuge Huang, Yuhan Wang, Ying Tai, Xiaoming Liu, Pengcheng Shen, Shaoxin Li, Jilin Li, Feiyue Huang:
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition. 5900-5909 - Hang Zhou, Jihao Liu, Ziwei Liu, Yu Liu, Xiaogang Wang:
Rotate-and-Render: Unsupervised Photorealistic Face Rotation From Single-View Images. 5910-5919 - Chao Yang, Ser-Nam Lim:
One-Shot Domain Adaptation for Face Generation. 5920-5929 - Yanwei Pang, Jing Nie, Jin Xie, Jungong Han, Xuelong Li:
BidNet: Binocular Image Dehazing Without Explicit Disparity Estimation. 5930-5939 - Peidong Liu, Zhaopeng Cui, Viktor Larsson, Marc Pollefeys:
Deep Shutter Unrolling Network. 5940-5948 - Yanping Fu, Qingan Yan, Jie Liao, Chunxia Xiao:
Joint Texture and Geometry Optimization for RGB-D Reconstruction. 5949-5958 - Sai Bi, Zexiang Xu, Kalyan Sunkavalli, David J. Kriegman, Ravi Ramamoorthi:
Deep 3D Capture: Geometry and Reflectance From Sparse Multi-View Images. 5959-5968 - Wenzheng Chen, Parsa Mirdehghan, Sanja Fidler, Kiriakos N. Kutulakos:
Auto-Tuning Structured Light by Optical Stochastic Gradient Descent. 5969-5979 - Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng:
MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. 5980-5989 - Michal Polic, Stanislav Steidl, Cenek Albl, Zuzana Kukelova, Tomás Pajdla:
Uncertainty Based Camera Model Selection. 5990-5999 - Chiyu Max Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Nießner, Thomas A. Funkhouser:
Local Implicit Grid Representations for 3D Scenes. 6000-6009 - Hayato Onizuka, Zehra Hayirci, Diego Thomas, Akihiro Sugimoto, Hideaki Uchiyama, Rin-Ichiro Taniguchi:
TetraTSDF: 3D Human Reconstruction From a Single Image With a Tetrahedral Outer Shell. 6010-6019 - Amnon Geifman, Yoni Kasten, Meirav Galun, Ronen Basri:
Averaging Essential and Fundamental Matrices in Collinear Camera Settings. 6020-6029 - Kyle Wilson, David Bindel:
On the Distribution of Minima in Intrinsic-Metric Rotation Averaging. 6030-6038 - Edoardo Remelli, Shangchen Han, Sina Honari, Pascal Fua, Robert Wang:
Lightweight Multi-View 3D Pose Estimation Through Camera-Disentangled Representation. 6039-6048 - Jin Liu, Shunping Ji:
A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-View Stereo Reconstruction From an Open Aerial Dataset. 6049-6058 - Jean Kossaifi, Antoine Toisoul, Adrian Bulat, Yannis Panagakis, Timothy M. Hospedales, Maja Pantic:
Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation. 6059-6068 - Min Jin Chong, David A. Forsyth:
Effectively Unbiased FID and Inception Score and Where to Find Them. 6069-6078 - Tianjiao Ding, Yunchen Yang, Zhihui Zhu, Daniel P. Robinson, René Vidal, Laurent Kneip, Manolis C. Tsakiris:
Robust Homography Estimation via Dual Principal Component Pursuit. 6079-6088 - Abhishek Aich, Akash Gupta, Rameswar Panda, Rakib Hyder, M. Salman Asif, Amit K. Roy-Chowdhury:
Non-Adversarial Video Synthesis with Learned Priors. 6089-6098 - Gun-Hee Lee, Seong-Whan Lee:
Uncertainty-Aware Mesh Decoder for High Fidelity 3D Face Reconstruction. 6099-6108
Oral 2-2A: Face, Gesture, and Body Pose (2)
- Björn Browatzki, Christian Wallraven:
3FabRec: Fast Few-Shot Face Alignment by Reconstruction. 6109-6119 - Seungryul Baek, Kwang In Kim, Tae-Kyun Kim:
Weakly-Supervised Domain Adaptation via GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects. 6120-6130 - Chi Nhan Duong, Thanh-Dat Truong, Khoa Luu, Kha Gia Quach, Hung Bui, Kaushik Roy:
Vec2Face: Unveil Human Faces From Their Blackbox Features in Face Recognition. 6131-6140 - Ayush Tewari, Mohamed Elgharib, Gaurav Bharaj, Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt:
StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images. 6141-6150 - Jogendra Nath Kundu, Siddharth Seth, Varun Jampani, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty:
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis. 6151-6161 - Jianzhu Guo, Xiangyu Zhu, Chenxu Zhao, Dong Cao, Zhen Lei, Stan Z. Li:
Learning Meta Face Recognition in Unseen Domains. 6162-6171 - Shichao Li, Lei Ke, Kevin Pratama, Yu-Wing Tai, Chi-Keung Tang, Kwang-Ting Cheng:
Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data. 6172-6182 - Hongyi Xu, Eduard Gabriel Bazavan, Andrei Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu:
GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models. 6183-6192 - Yan Zhang, Mohamed Hassan, Heiko Neumann, Michael J. Black, Siyu Tang:
Generating 3D People in Scenes Without People. 6193-6203 - Dongxu Li, Xin Yu, Chenchen Xu, Lars Petersson, Hongdong Li:
Transferring Cross-Domain Knowledge for Video Sign Language Recognition. 6204-6213 - Henry M. Clever, Zackory Erickson, Ariel Kapusta, Greg Turk, C. Karen Liu, Charles C. Kemp:
Bodies at Rest: 3D Human Pose and Shape Estimation From a Pressure Image Using Synthetic Data. 6214-6223 - Rui Zhao, Hui Su, Qiang Ji:
Bayesian Adversarial Human Motion Synthesis. 6224-6233
Oral 2-2B: Motion and Tracking (1)
- Chengzhou Tang, Lu Yuan, Ping Tan:
LSM: Learning Subspace Minimization for Low-Level Vision. 6234-6245 - Guillem Brasó, Laura Leal-Taixé:
Learning a Neural Solver for Multiple Object Tracking. 6246-6256 - Prune Truong, Martin Danelljan, Radu Timofte:
GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences. 6257-6267 - Dongyan Guo, Jun Wang, Ying Cui, Zhenhua Wang, Shengyong Chen:
SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking. 6268-6276 - Shengyu Zhao, Yilun Sheng, Yue Dong, Eric I-Chao Chang, Yan Xu:
MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask. 6277-6286 - Guangting Wang, Chong Luo, Xiaoyan Sun, Zhiwei Xiong, Wenjun Zeng:
Tracking by Instance Detection: A Meta-Learning Approach. 6287-6296 - Kenan Dai, Yunhua Zhang, Dong Wang, Jianhua Li, Huchuan Lu, Xiaoyun Yang:
High-Performance Long-Term Tracking With Meta-Updater. 6297-6306 - Bo Pang, Yizhuo Li, Yifan Zhang, Muchen Li, Cewu Lu:
TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model. 6307-6317 - Yue Hu, Siheng Chen, Ya Zhang, Xiao Gu:
Collaborative Motion Prediction via Neural Motion Message Passing. 6318-6327 - Haozhe Qi, Chen Feng, Zhiguo Cao, Feng Zhao, Yang Xiao:
P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds. 6328-6337 - Shunkai Li, Xin Wang, Yingdian Cao, Fei Xue, Zike Yan, Hongbin Zha:
Self-Supervised Deep Visual Odometry With Online Adaptation. 6338-6347 - Daqi Liu, Álvaro Parra Bustos, Tat-Jun Chin:
Globally Optimal Contrast Maximisation for Event-Based Motion Estimation. 6348-6357
Oral 2-2C: Representation Learning
- Xuyang Bai, Zixin Luo, Lei Zhou, Hongbo Fu, Long Quan, Chiew-Lan Tai:
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features. 6358-6366 - Yantao Shen, Yuanjun Xiong, Wei Xia, Stefano Soatto:
Towards Backward-Compatible Representation Learning. 6367-6376 - Ruihui Li, Xianzhi Li, Pheng-Ann Heng, Chi-Wing Fu:
PointAugment: An Auto-Augmentation Framework for Point Cloud Classification. 6377-6386 - Xun Wang, Haozhi Zhang, Weilin Huang, Matthew R. Scott:
Cross-Batch Memory for Embedding Learning. 6387-6396 - Yifan Sun, Changmao Cheng, Yuhan Zhang, Chi Zhang, Liang Zheng, Zhongdao Wang, Yichen Wei:
Circle Loss: A Unified Perspective of Pair Similarity Optimization. 6397-6406 - Simon Jenni, Hailin Jin, Paolo Favaro:
Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics. 6407-6416 - Valentin Khrulkov, Leyla Mirvakhabova, Evgeniya Ustinova, Ivan V. Oseledets, Victor S. Lempitsky:
Hyperbolic Image Embeddings. 6417-6427 - Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao:
Controllable Orthogonalization in Training DNNs. 6428-6437 - Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
An Investigation Into the Stochasticity of Batch Whitening. 6438-6447
Poster 2-2P
- Guan'an Wang, Shuo Yang, Huanyu Liu, Zhicheng Wang, Yang Yang, Shuliang Wang, Gang Yu, Erjin Zhou, Jian Sun:
High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification. 6448-6457 - Jaime Spencer, Richard Bowden, Simon Hadfield:
Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance. 6458-6467 - Qianli Ma, Jinlong Yang, Anurag Ranjan, Sergi Pujades, Gerard Pons-Moll, Siyu Tang, Michael J. Black:
Learning to Dress 3D People in Generative Clothing. 6468-6477 - Zihang Lai, Erika Lu, Weidi Xie:
MAST: A Memory-Augmented Self-Supervised Tracker. 6478-6487 - Liang Liu, Jiangning Zhang, Ruifei He, Yong Liu, Yabiao Wang, Ying Tai, Donghao Luo, Chengjie Wang, Jilin Li, Feiyue Huang:
Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation. 6488-6497 - Xinshuo Weng, Yongxin Wang, Yunze Man, Kris M. Kitani:
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning. 6498-6507 - Xueting Yan, Ishan Misra, Abhinav Gupta, Deepti Ghadiyaram, Dhruv Mahajan:
ClusterFit: Improving Generalization of Visual Representations. 6508-6517 - Qiongjie Cui, Huaijiang Sun, Fei Yang:
Learning Dynamic Relationships for 3D Human Motion Prediction. 6518-6526 - Long Zhao, Xi Peng, Yuxiao Chen, Mubbasir Kapadia, Dimitris N. Metaxas:
Knowledge As Priors: Cross-Modal Knowledge Generalization for Datasets Without Superior Knowledge. 6527-6536 - Yizhe Zhu, Martin Renqiang Min, Asim Kadav, Hans Peter Graf:
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation. 6537-6546 - Yuan Yao, Chang Liu, Dezhao Luo, Yu Zhou, Qixiang Ye:
Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning. 6547-6556 - Yanchao Yang, Yutong Chen, Stefano Soatto:
Learning to Manipulate Individual Objects in an Image. 6557-6566 - Karsten Roth, Timo Milbich, Björn Ommer:
PADS: Policy-Adapted Sampling for Visual Similarity Learning. 6567-6576 - Paul Voigtlaender, Jonathon Luiten, Philip H. S. Torr, Bastian Leibe:
Siam R-CNN: Visual Tracking by Re-Detection. 6577-6587 - Zixin Luo, Lei Zhou, Xuyang Bai, Hongkai Chen, Jiahui Zhang, Yao Yao, Shiwei Li, Tian Fang, Long Quan:
ASLFeat: Learning Local Features of Accurate Shape and Localization. 6588-6597 - Fanxu Meng, Hao Cheng, Ke Li, Zhixin Xu, Rongrong Ji, Xing Sun, Guangming Lu:
Filter Grafting for Deep Neural Networks. 6598-6606 - Bardia Doosti, Shujon Naha, Majid Mirbagheri, David J. Crandall:
HOPE-Net: A Graph-Based Model for Hand-Object Pose Estimation. 6607-6616 - Mohammad Rami Koujan, Anastasios Roussos, Stefanos Zafeiriou:
DeepFaceFlow: In-the-Wild Dense 3D Facial Motion Estimation. 6617-6626 - Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte:
Learning for Video Compression With Hierarchical Quality and Recurrent Enhancement. 6627-6636 - Fabian Mentzer, Luc Van Gool, Michael Tschannen:
Learning Better Lossless Compression Using Lossy Compression. 6637-6646 - Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu:
Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching. 6647-6656 - Zhiyuan Dang, Cheng Deng, Xu Yang, Heng Huang:
Multi-Scale Fusion Subspace Clustering Using Similarity Constraint. 6657-6666 - Zedu Chen, Bineng Zhong, Guorong Li, Shengping Zhang, Rongrong Ji:
Siamese Box Adaptive Network for Visual Tracking. 6667-6676 - Guoqing Wang, Hu Han, Shiguang Shan, Xilin Chen:
Cross-Domain Face Presentation Attack Detection via Multi-Domain Disentangled Representation Learning. 6677-6686 - Xiaohang Zhan, Jiahao Xie, Ziwei Liu, Yew-Soon Ong, Chen Change Loy:
Online Deep Clustering for Unsupervised Representation Learning. 6687-6696 - Senhui Guo, Jing Xu, Dapeng Chen, Chao Zhang, Xiaogang Wang, Rui Zhao:
Density-Aware Feature Embedding for Face Clustering. 6697-6705 - Ishan Misra, Laurens van der Maaten:
Self-Supervised Learning of Pretext-Invariant Representations. 6706-6716 - Tianyu Yang, Pengfei Xu, Runbo Hu, Hua Chai, Antoni B. Chan:
ROAM: Recurrently Optimizing Tracking Model. 6717-6726 - Yuechen Yu, Yilei Xiong, Weilin Huang, Matthew R. Scott:
Deformable Siamese Attention Networks for Visual Object Tracking. 6727-6736 - Michael Snower, Asim Kadav, Farley Lai, Hans Peter Graf:
15 Keypoints Is All You Need. 6737-6747 - Yinqiang Zheng, Mingfang Zhang, Feng Lu:
Optical Flow in the Dark. 6748-6756 - Hangyu Lin, Yanwei Fu, Xiangyang Xue, Yu-Gang Jiang:
Sketch-BERT: Learning Sketch Bidirectional Encoder Representation From Transformers by Self-Supervised Learning of Sketch Gestalt. 6757-6766 - Junbo Yin, Wenguan Wang, Qinghao Meng, Ruigang Yang, Jianbing Shen:
A Unified Object Motion and Affinity Model for Online Multi-Object Tracking. 6767-6776 - Denys Rozumnyi, Jan Kotera, Filip Sroubek, Jiri Matas:
Sub-Frame Appearance and 6D Pose Estimation of Fast Moving Objects. 6777-6785 - Yihong Xu, Aljosa Osep, Yutong Ban, Radu Horaud, Laura Leal-Taixé, Xavier Alameda-Pineda:
How to Train Your Deep Multi-Object Tracker. 6786-6795 - Liangji Fang, Qinhong Jiang, Jianping Shi, Bolei Zhou:
TPNet: Trajectory Proposal Network for Motion Prediction. 6796-6805 - Hyodong Lee, Joonseok Lee, Joe Yue-Hei Ng, Paul Natsev:
Large Scale Video Representation Learning via Relational Graph Clustering. 6806-6815 - Yichun Shi, Xiang Yu, Kihyuk Sohn, Manmohan Chandraker, Anil K. Jain:
Towards Universal Representation Learning for Deep Face Recognition. 6816-6825 - Yingji Zhong, Xiaoyu Wang, Shiliang Zhang:
Robust Partial Matching for Person Search in the Wild. 6826-6834 - Fei Du, Peng Liu, Wei Zhao, Xianglong Tang:
Correlation-Guided Attention for Corner Detection Based Visual Tracking. 6835-6844 - Lorenzo Porzi, Markus Hofinger, Idoia Ruiz, Joan Serrat, Samuel Rota Bulò, Peter Kontschieder:
Learning Multi-Object Tracking and Segmentation From Automatic Annotations. 6845-6854 - Abdallah Benzine, Florian Chabot, Bertrand Luvison, Quoc Cuong Pham, Catherine Achard:
PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation. 6855-6864 - Yudong Wu, Yichao Wu, Ruihao Gong, Yuanhao Lv, Ken Chen, Ding Liang, Xiaolin Hu, Xianglong Liu, Junjie Yan:
Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition. 6865-6875 - Peiliang Li, Jieqi Shi, Shaojie Shen:
Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking. 6876-6885 - Chong Liu, Xiaojun Chang, Yi-Dong Shen:
Unity Style Transfer for Person Re-Identification. 6886-6895 - Kai Wang, Xiaojiang Peng, Jianfei Yang, Shijian Lu, Yu Qiao:
Suppressing Uncertainties for Large-Scale Facial Expression Recognition. 6896-6905 - Rahul Mitra, Nitesh B. Gundavarapu, Abhishek Sharma, Arjun Jain:
Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation. 6906-6915 - Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song:
Regularizing Neural Networks via Minimizing Hyperspherical Energy. 6916-6925 - Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
Learning Representations by Predicting Bags of Visual Words. 6926-6936 - Muhammad Haris Khan, John McDonagh, Salman H. Khan, Muhammad Shahabuddin, Aditya Arora, Fahad Shahbaz Khan, Ling Shao, Georgios Tzimiropoulos:
AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces. 6937-6946 - Yizhuo Zhang, Zhirong Wu, Houwen Peng, Stephen Lin:
A Transductive Approach for Video Object Segmentation. 6947-6956 - Yujiang Wang, Mingzhi Dong, Jie Shen, Yang Wu, Shiyang Cheng, Maja Pantic:
Dynamic Face Video Segmentation via Reinforcement Learning. 6957-6967 - Julian Chibane, Thiemo Alldieck, Gerard Pons-Moll:
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion. 6968-6979 - Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer:
Semantic Drift Compensation for Class-Incremental Learning. 6980-6989 - Enric Corona, Albert Pumarola, Guillem Alenyà, Francesc Moreno-Noguer:
Context-Aware Human Motion Prediction. 6990-6999 - Aljaz Bozic, Michael Zollhöfer, Christian Theobalt, Matthias Nießner:
DeepDeform: Learning Non-Rigid RGB-D Reconstruction With Semi-Supervised Data. 7000-7010 - Mariko Isogawa, Ye Yuan, Matthew O'Toole, Kris M. Kitani:
Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation. 7011-7020 - Aymen Mir, Thiemo Alldieck, Gerard Pons-Moll:
Learning to Transfer Texture From Clothing Images to 3D Humans. 7021-7032 - Bruno Artacho, Andreas E. Savakis:
UniPose: Unified Human Pose Estimation in Single Images and Videos. 7033-7042 - Yaqing Ding, Jian Yang, Jean Ponce, Hui Kong:
Minimal Solutions to Relative Pose Estimation From Two Views Sharing a Common Direction With Unknown Focal Length. 7043-7051 - Wang Zeng, Wanli Ouyang, Ping Luo, Wentao Liu, Xiaogang Wang:
3D Human Mesh Regression With Dense Correspondence. 7052-7061 - Chaoqun Wang, Chunyan Xu, Zhen Cui, Ling Zhou, Tong Zhang, Xiaoya Zhang, Jian Yang:
Cross-Modal Pattern-Propagation for RGB-T Tracking. 7062-7071 - Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang:
Distilling Knowledge From Graph Convolutional Networks. 7072-7081 - Po-Hsiang Huang, Fu-En Yang, Yu-Chiang Frank Wang:
Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment. 7082-7090 - Feng Zhang, Xiatian Zhu, Hanbin Dai, Mao Ye, Ce Zhu:
Distribution-Aware Coordinate Representation for Human Pose Estimation. 7091-7100 - Dechao Meng, Liang Li, Xuejing Liu, Yadong Li, Shijie Yang, Zheng-Jun Zha, Xingyu Gao, Shuhui Wang, Qingming Huang:
Parsing-Based View-Aware Embedding Network for Vehicle Re-Identification. 7101-7110 - Jameel Malik, Ibrahim Abdelaziz, Ahmed Elhayek, Soshi Shimada, Sk Aziz Ali, Vladislav Golyanik, Christian Theobalt, Didier Stricker:
HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map. 7111-7120 - Tianshu Yu, Junchi Yan, Baoxin Li:
Determinant Regularization for Gradient-Efficient Graph Matching. 7121-7130 - Alan Lukezic, Jiri Matas, Matej Kristan:
D3S - A Discriminative Single Shot Segmentation Tracker. 7131-7140 - Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo:
MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction. 7141-7150 - Marin Toromanoff, Émilie Wirbel, Fabien Moutarde:
End-to-End Model-Free Reinforcement Learning for Urban Driving Using Implicit Affordances. 7151-7160 - Xiang Gao, Wei Hu, Guo-Jun Qi:
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations. 7161-7170 - Evangelos Sariyanidi, Casey J. Zampella, Robert T. Schultz, Birkan Tunç:
Can Facial Pose and Expression Be Separated With Weak Perspective Camera? 7171-7180 - Martin Danelljan, Luc Van Gool, Radu Timofte:
Probabilistic Regression for Visual Tracking. 7181-7190 - G. Dias Pais, Srikumar Ramalingam, Venu Madhav Govindu, Jacinto C. Nascimento, Rama Chellappa, Pedro Miraldo:
3DRegNet: A Deep Neural Network for 3D Point Registration. 7191-7201 - Matteo Fabbri, Fabio Lanzi, Simone Calderara, Stefano Alletto, Rita Cucchiara:
Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation. 7202-7211 - Mihai Fieraru, Mihai Zanfir, Elisabeta Oneata, Alin-Ionut Popa, Vlad Olaru, Cristian Sminchisescu:
Three-Dimensional Reconstruction of Human Interactions. 7212-7221 - Shuai Zheng, Zhenfeng Zhu, Xingxing Zhang, Zhizhe Liu, Jian Cheng, Yao Zhao:
Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning. 7222-7231 - André Mateus, Srikumar Ramalingam, Pedro Miraldo:
Minimal Solvers for 3D Scan Alignment With Pairs of Intersecting Lines. 7232-7242 - Qiufu Li, Linlin Shen, Sheng Guo, Zhihui Lai:
Wavelet Integrated CNNs for Noise-Robust Image Classification. 7243-7252 - ByungSoo Ko, Geonmo Gu:
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning. 7253-7262 - Xiehe Huang, Weihong Deng, Haifeng Shen, Xiubao Zhang, Jieping Ye:
PropagationNet: Propagate Points to Curve to Learn Structure Information. 7263-7272 - Kangkan Wang, Jin Xie, Guofeng Zhang, Lei Liu, Jian Yang:
Sequential 3D Human Pose and Shape Estimation From Point Clouds. 7273-7282 - Jindong Gu, Volker Tresp:
Improving the Robustness of Capsule Networks to Image Affine Transformations. 7283-7291 - Joel Stehouwer, Amin Jourabloo, Yaojie Liu, Xiaoming Liu:
Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing. 7292-7301 - Xuan Zhang, Shaofei Qin, Yi Xu, Hongteng Xu:
Quaternion Product Units for Deep Learning on 3D Rotation Groups. 7302-7311 - Yu Yu, Jean-Marc Odobez:
Unsupervised Representation Learning for Gaze Estimation. 7312-7322 - Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Yannis Panagakis, Jiankang Deng, Stefanos Zafeiriou:
P-nets: Deep Polynomial Neural Networks. 7323-7333 - Qi Qian, Juhua Hu, Hao Li:
Hierarchically Robust Representation Learning. 7334-7342 - Alejandro Newell, Jia Deng:
How Useful Is Self-Supervised Pretraining for Visual Tasks? 7343-7352
Oral 2-3A: Face, Gesture, and Body Pose (3); Motion and Tracking (2)
- Yang Zhang, Ivor W. Tsang, Yawei Luo, Chang-Hui Hu, Xiaobo Lu, Xin Yu:
Copy and Paste GAN: Face Hallucination From Shaded Thumbnails. 7353-7362 - Chaitanya Patel, Zhouyingcheng Liao, Gerard Pons-Moll:
TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style. 7363-7373 - Tianshu Zhang, Buzhen Huang, Yangang Wang:
Object-Occluded Human Shape and Pose Estimation From a Single Color Image. 7374-7383 - Jin Gao, Weiming Hu, Yan Lu:
Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking. 7384-7393 - Junhwa Hur, Stefan Roth:
Self-Supervised Monocular Scene Flow Estimation. 7394-7403 - Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Learning Fast and Robust Target Models for Video Object Segmentation. 7404-7413 - Hao Sun, Zhiqun Zhao, Zhihai He:
Reciprocal Learning Networks for Human Trajectory Prediction. 7414-7423 - David S. Hayden, Jason Pacheco, John W. Fisher III:
Nonparametric Object and Parts Modeling With Lie Group Dynamics. 7424-7433
Oral 2-3B: Image and Video Synthesis (2); Neural Generative Models
- Qingyuan Zheng, Zhuoru Li, Adam Bargteil:
Learning to Shadow Hand-Drawn Sketches. 7434-7443 - Kyle Olszewski, Duygu Ceylan, Jun Xing, Jose Echevarria, Zhili Chen, Weikai Chen, Hao Li:
Intuitive, Interactive Beard and Hair Synthesis With Generative Models. 7444-7454 - Assaf Shocher, Yossi Gandelsman, Inbar Mosseri, Michal Yarom, Michal Irani, William T. Freeman, Tali Dekel:
Semantic Pyramid for Image Generation. 7455-7464 - Olivia Wiles, Georgia Gkioxari, Richard Szeliski, Justin Johnson:
SynSin: End-to-End View Synthesis From a Single Image. 7465-7475 - Abdul Fatir Ansari, Jonathan Scarlett, Harold Soh:
A Characteristic Function Approach to Deep Implicit Generative Modeling. 7476-7484 - Ivan Anokhin, Pavel Solovev, Denis Korzhenkov, Alexey Kharlamov, Taras Khakhulin, Aleksei Silvestrov, Sergey I. Nikolenko, Victor Lempitsky, Gleb Sterkin:
High-Resolution Daytime Translation Without Domain Labels. 7485-7494 - Paul Henderson, Vagia Tsiminaki, Christoph H. Lampert:
Leveraging 2D Data to Learn Textured 3D Mesh Generation. 7495-7504 - Zili Yi, Qiang Tang, Shekoofeh Azizi, Daesik Jang, Zhan Xu:
Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting. 7505-7514 - Ruiqi Gao, Erik Nijkamp, Diederik P. Kingma, Zhen Xu, Andrew M. Dai, Ying Nian Wu:
Flow Contrastive Estimation of Energy-Based Models. 7515-7525
Oral 2-3C: Optimization and Learning Methods
- Ali Mosleh, Avinash Sharma, Emmanuel Onzon, Fahim Mannan, Nicolas Robidoux, Felix Heide:
Hardware-in-the-Loop End-to-End Optimization of Camera Image Processing Pipelines. 7526-7535 - Yu Liu, Xuhui Jia, Mingxing Tan, Raviteja Vemulapalli, Yukun Zhu, Bradley Green, Xiaogang Wang:
Search to Distill: Pearls Are Everywhere but Not the Eyes. 7536-7545 - Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock:
Total Deep Variation for Linear Inverse Problems. 7546-7555 - Tomás Werner, Daniel Prusa, Tomás Dlask:
Relative Interior Rule in Block-Coordinate Descent. 7556-7564 - Tao Wang, He Liu, Yidong Li, Yi Jin, Xiaohui Hou, Haibin Ling:
Learning Combinatorial Solver for Graph Matching. 7565-7574 - Itai Lang, Asaf Manor, Shai Avidan:
SampleNet: Differentiable Point Cloud Sampling. 7575-7585 - Safa Messaoud, Maghav Kumar, Alexander G. Schwing:
Can We Learn Heuristics for Graphical Model Inference Using Reinforcement Learning? 7586-7596 - Yuxin Yao, Bailin Deng, Weiwei Xu, Juyong Zhang:
Quasi-Newton Solver for Robust Non-Rigid Registration. 7597-7606 - Muhammad Abdullah Jamal, Matthew Brown, Ming-Hsuan Yang, Liqiang Wang, Boqing Gong:
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective. 7607-7616 - Michal Rolínek, Vít Musil, Anselm Paulus, Marin Vlastelica P., Claudio Michaelis, Georg Martius:
Optimizing Rank-Based Metrics With Blackbox Differentiation. 7617-7627
Poster 2-3P
- Zekun Hao, Hadar Averbuch-Elor, Noah Snavely, Serge J. Belongie:
DualSDF: Semantic Shape Manipulation Using a Two-Level Representation. 7628-7638 - Duo Li, Qifeng Chen:
Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives. 7639-7648 - Hoang Le, Feng Liu, Shu Zhang, Aseem Agarwala:
Deep Homography Estimation for Dynamic Scenes. 7649-7658 - Zitian Huang, Yikuan Yu, Jiawen Xu, Feng Ni, Xinyi Le:
PF-Net: Point Fractal Network for 3D Point Cloud Completion. 7659-7667 - Ambar Pal, Connor Lane, René Vidal, Benjamin D. Haeffele:
On the Regularization Properties of Structured Dropout. 7668-7676 - Tong Zhou, Changxing Ding, Shaowen Lin, Xinchao Wang, Dacheng Tao:
Learning Oracle Attention for High-Fidelity Face Completion. 7677-7686 - Yurui Ren, Xiaoming Yu, Junming Chen, Thomas H. Li, Ge Li:
Deep Image Spatial Transformation for Person Image Generation. 7687-7696 - Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi:
Learning to Optimize on SPD Manifolds. 7697-7706 - Sicheng Xu, Jiaolong Yang, Dong Chen, Fang Wen, Yu Deng, Yunde Jia, Xin Tong:
Deep 3D Portrait From a Single Image. 7707-7717 - He Zhao, Xianghua Ying, Yongjie Shi, Xin Tong, Jingsi Wen, Hongbin Zha:
RDCFace: Radial Distortion Correction for Face Recognition. 7718-7727 - Yaobin Zhang, Weihong Deng, Mei Wang, Jiani Hu, Xian Li, Dongyue Zhao, Dongchao Wen:
Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition. 7728-7737 - Shuchen Weng, Wenbo Li, Dawei Li, Hongxia Jin, Boxin Shi:
MISC: Multi-Condition Injection and Spatially-Adaptive Compositing for Conditional Person Image Synthesis. 7738-7746 - Cheng Peng, Wei-An Lin, Haofu Liao, Rama Chellappa, S. Kevin Zhou:
SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis. 7747-7756 - Jingyuan Li, Ning Wang, Lefei Zhang, Bo Du, Dacheng Tao:
Recurrent Feature Reasoning for Image Inpainting. 7757-7765 - Cheng Ma, Yongming Rao, Yean Cheng, Ce Chen, Jiwen Lu, Jie Zhou:
Structure-Preserving Super Resolution With Gradient Guidance. 7766-7775 - Yihui He, Rui Yan, Katerina Fragkiadaki, Shoou-I Yu:
Epipolar Transformers. 7776-7785 - Zhizhong Wang, Lei Zhao, Haibo Chen, Lihong Qiu, Qihang Mo, Sihuan Lin, Wei Xing, Dongming Lu:
Diversified Arbitrary Style Transfer via Deep Feature Perturbation. 7786-7795 - Animesh Karnewar, Oliver Wang:
MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks. 7796-7805 - Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Steven W. Su:
Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization. 7806-7815 - Mohsen Joneidi, Saeed Vahidian, Ashkan Esmaeili, Weijia Wang, Nazanin Rahnavard, Bill Lin, Mubarak Shah:
Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds. 7816-7826 - Peng Dai, Yinda Zhang, Zhuwen Li, Shuaicheng Liu, Bing Zeng:
Neural Point Cloud Rendering via Multi-Plane Projection. 7827-7836 - Oran Gafni, Lior Wolf:
Wish You Were Here: Context-Aware Human Generation. 7837-7846 - Han Yang, Ruimao Zhang, Xiaobao Guo, Wei Liu, Wangmeng Zuo, Ping Luo:
Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content. 7847-7856 - Ori Nizan, Ayellet Tal:
Breaking the Cycle - Colleagues Are All You Need. 7857-7866 - Hao Tang, Dan Xu, Yan Yan, Philip H. S. Torr, Nicu Sebe:
Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation. 7867-7876 - Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H. S. Torr:
ManiGAN: Text-Guided Image Manipulation. 7877-7886 - Ricard Durall, Margret Keuper, Janis Keuper:
Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions. 7887-7896 - Patrick Knöbelreiter, Christian Sormann, Alexander Shekhovtsov, Friedrich Fraundorfer, Thomas Pock:
Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems. 7897-7906 - Dror Simon, Aviad Aberdam:
Barycenters of Natural Images - Constrained Wasserstein Barycenters for Image Morphing. 7907-7916 - Zheng Ding, Yifan Xu, Weijian Xu, Gaurav Parmar, Yang Yang, Max Welling, Zhuowen Tu:
Guided Variational Autoencoder for Disentanglement Learning. 7917-7926 - Boyan Duan, Chaoyou Fu, Yi Li, Xingguang Song, Ran He:
Cross-Spectral Face Hallucination via Disentangling Independent Factors. 7927-7935 - Zhengxue Cheng, Heming Sun, Masaru Takeuchi, Jiro Katto:
Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules. 7936-7945 - Albert Pumarola, Stefan Popov, Francesc Moreno-Noguer, Vittorio Ferrari:
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds. 7946-7955 - Li'an Zhuo, Baochang Zhang, Linlin Yang, Hanlin Chen, Qixiang Ye, David S. Doermann, Rongrong Ji, Guodong Guo:
Cogradient Descent for Bilinear Optimization. 7956-7964 - Jheng-Wei Su, Hung-Kuo Chu, Jia-Bin Huang:
Instance-Aware Image Colorization. 7965-7974 - Tian Han, Erik Nijkamp, Linqi Zhou, Bo Pang, Song-Chun Zhu, Ying Nian Wu:
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model. 7975-7984 - Zhongnan Qu, Zimu Zhou, Yun Cheng, Lothar Thiele:
Adaptive Loss-Aware Quantization for Multi-Bit Networks. 7985-7994 - Aviram Bar-Haim, Lior Wolf:
ScopeFlow: Dynamic Scene Scoping for Optical Flow. 7995-8004 - Takashi Isobe, Songjiang Li, Xu Jia, Shanxin Yuan, Gregory G. Slabaugh, Chunjing Xu, Ya-Li Li, Shengjin Wang, Qi Tian:
Video Super-Resolution With Temporal Group Attention. 8005-8014 - Yawei Li, Shuhang Gu, Christoph Mayer, Luc Van Gool, Radu Timofte:
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. 8015-8024 - Meng-Li Shih, Shih-Yang Su, Johannes Kopf, Jia-Bin Huang:
3D Photography Using Context-Aware Layered Depth Inpainting. 8025-8035 - Yuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee:
MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation. 8036-8045 - Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán:
Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer. 8046-8056 - Zhengzhe Liu, Xiaojuan Qi, Philip H. S. Torr:
Global Texture Enhancement for Fake Face Detection in the Wild. 8057-8066 - Aysegul Dundar, Karan Sapra, Guilin Liu, Andrew Tao, Bryan Catanzaro:
Panoptic-Based Image Synthesis. 8067-8076 - Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron, Richard Tucker, Noah Snavely:
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination. 8077-8086 - Xinrui Wang, Jinze Yu:
Learning to Cartoonize Using White-Box Cartoon Representations. 8087-8096 - Bo Chen, Álvaro Parra, Jiewei Cao, Nan Li, Tat-Jun Chin:
End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization. 8097-8106 - Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila:
Analyzing and Improving the Image Quality of StyleGAN. 8107-8116 - Haoye Dong, Xiaodan Liang, Yixuan Zhang, Xujie Zhang, Xiaohui Shen, Zhenyu Xie, Bowen Wu, Jian Yin:
Fashion Editing With Adversarial Parsing Learning. 8117-8125 - Elad Hoffer, Tal Ben-Nun, Itay Hubara, Niv Giladi, Torsten Hoefler, Daniel Soudry:
Augment Your Batch: Improving Generalization Through Instance Repetition. 8126-8135 - Daquan Liu, Chengjiang Long, Hongpan Zhang, Hanning Yu, Xinzhi Dong, Chunxia Xiao:
ARShadowGAN: Shadow Generative Adversarial Network for Augmented Reality in Single Light Scenes. 8136-8145 - Prashant W. Patil, Kuldeep Marotirao Biradar, Akshay Dudhane, Subrahmanyam Murala:
An End-to-End Edge Aggregation Network for Moving Object Segmentation. 8146-8155 - Jiyang Yu, Ravi Ramamoorthi:
Learning Video Stabilization Using Optical Flow. 8156-8164 - Runfa Chen, Wenbing Huang, Binghui Huang, Fuchun Sun, Bin Fang:
Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation. 8165-8174 - Arash Rahnama, André T. Nguyen, Edward Raff:
Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory. 8175-8184 - Yunjey Choi, Youngjung Uh, Jaejun Yoo, Jung-Woo Ha:
StarGAN v2: Diverse Image Synthesis for Multiple Domains. 8185-8194 - Kyu-Yul Lee, Jae-Young Sim:
Warping Residual Based Image Stitching for Large Parallax. 8195-8203 - Edgar Schönfeld, Bernt Schiele, Anna Khoreva:
A U-Net Based Discriminator for Generative Adversarial Networks. 8204-8213 - Ran Yi, Yong-Jin Liu, Yu-Kun Lai, Paul L. Rosin:
Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping. 8214-8222 - Nathaniel Chodosh, Simon Lucey:
When to Use Convolutional Neural Networks for Inverse Problems. 8223-8232 - Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Ye Wang, Michael Jones, Anoop Cherian, Toshiaki Koike-Akino, Xiaoming Liu, Chen Feng:
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood. 8233-8243 - Chu Wang, Babak Samari, Vladimir G. Kim, Siddhartha Chaudhuri, Kaleem Siddiqi:
Affinity Graph Supervision for Visual Recognition. 8244-8252 - Michael Dorkenwald, Uta Büchler, Björn Ommer:
Unsupervised Magnification of Posture Deviations Across Subjects. 8253-8263 - Fukun Yin, Shizhe Zhou:
Accurate Estimation of Body Height From a Single Depth Image via a Four-Stage Developing Network. 8264-8273 - Naofumi Akimoto, Huachun Zhu, Yanghua Jin, Yoshimitsu Aoki:
Fast Soft Color Segmentation. 8274-8283 - José Pedro Iglesias, Carl Olsson, Fredrik Kahl:
Global Optimality for Point Set Registration Using Semidefinite Programming. 8284-8292 - Rameen Abdal, Yipeng Qin, Peter Wonka:
Image2StyleGAN++: How to Edit the Embedded Images? 8293-8302 - Yanru Huang, Feiyu Zhu, Zheni Zeng, Xi Qiu, Yuan Shen, Jianan Wu:
SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking. 8303-8311 - Lin Wang, Tae-Kyun Kim, Kuk-Jin Yoon:
EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning. 8312-8322 - Qiangchang Wang, Tianyi Wu, He Zheng, Guodong Guo:
Hierarchical Pyramid Diverse Attention Networks for Face Recognition. 8323-8332 - Sinead Kearney, Wenbin Li, Martin Parsons, Kwang In Kim, Darren Cosker:
RGBD-Dog: Predicting Canine Pose from RGBD Sensors. 8333-8342 - Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Baojin Huang, Yimin Luo, Jiayi Ma, Junjun Jiang:
Multi-Scale Progressive Fusion Network for Single Image Deraining. 8343-8352 - Philipp Henzler, Niloy J. Mitra, Tobias Ritschel:
Learning a Neural 3D Texture Space From 2D Exemplars. 8353-8361 - Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu:
BachGAN: High-Resolution Image Synthesis From Salient Object Layout. 8362-8371 - Jaejun Yoo, Namhyuk Ahn, Kyung-Ah Sohn:
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy. 8372-8381 - Tianyu Guo, Chang Xu, Jiajun Huang, Yunhe Wang, Boxin Shi, Chao Xu, Dacheng Tao:
On Positive-Unlabeled Classification in GAN. 8382-8390 - Wenyan Cong, Jianfu Zhang, Li Niu, Liu Liu, Zhixin Ling, Weiyuan Li, Liqing Zhang:
DoveNet: Deep Image Harmonization via Domain Verification. 8391-8400 - Takuhiro Kaneko, Tatsuya Harada:
Noise Robust Generative Adversarial Networks. 8401-8411 - Apratim Bhattacharyya, Shweta Mahajan, Mario Fritz, Bernt Schiele, Stefan Roth:
Normalizing Flows With Multi-Scale Autoregressive Priors. 8412-8421 - Gyumin Shim, Jinsun Park, In So Kweon:
Robust Reference-Based Super-Resolution With Similarity-Aware Deformable Convolution. 8422-8431 - Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frédo Durand, John V. Guttag, Adrian V. Dalca:
Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings. 8432-8442 - Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Huaiyu Dai:
GeoDA: A Geometric Framework for Black-Box Adversarial Attacks. 8443-8452 - Seongwook Yoon, Sanghoon Sull:
GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data. 8453-8461 - You Huang, Yuanlong Yu:
An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers' Outputs. 8462-8470 - Marcus Valtonen Örnhag, Carl Olsson:
A Unified Optimization Framework for Low-Rank Inducing Penalties. 8471-8480 - Yunpei Jia, Jie Zhang, Shiguang Shan, Xilin Chen:
Single-Side Domain Generalization for Face Anti-Spoofing. 8481-8490 - Matan Haroush, Itay Hubara, Elad Hoffer, Daniel Soudry:
The Knowledge Within: Methods for Data-Free Model Compression. 8491-8499 - Eirikur Agustsson, David Minnen, Nick Johnston, Johannes Ballé, Sung Jin Hwang, George Toderici:
Scale-Space Flow for End-to-End Optimized Video Compression. 8500-8509 - Colin Graber, Alexander G. Schwing:
Dynamic Neural Relational Inference. 8510-8519
Oral 2-4A: Segmentation, Grouping and Shape (1)
- Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome P. Lynch, Adrien Gaidon:
Real-Time Panoptic Segmentation From Dense Detections. 8520-8529 - Sida Peng, Wen Jiang, Huaijin Pi, Xiuli Li, Hujun Bao, Xiaowei Zhou:
Deep Snake for Real-Time Instance Segmentation. 8530-8539 - Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas J. Guibas, Hao Zhang:
AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss. 8540-8549 - Yanwei Li, Lin Song, Yukang Chen, Zeming Li, Xiangyu Zhang, Xingang Wang, Jian Sun:
Learning Dynamic Routing for Semantic Segmentation. 8550-8559 - Jinlin Liu, Yuan Yao, Wendi Hou, Miaomiao Cui, Xuansong Xie, Changshui Zhang, Xian-Sheng Hua:
Boosting Semantic Human Matting With Coarse Annotations. 8560-8569 - Hao Chen, Kunyang Sun, Zhi Tian, Chunhua Shen, Yongming Huang, Youliang Yan:
BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation. 8570-8578 - Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Tong Zhang, Nick Barnes:
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders. 8579-8588 - Nicolas Donati, Abhishek Sharma, Maks Ovsjanikov:
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence. 8589-8598 - Agastya Kalra, Vage Taamazyan, Supreeth Krishna Rao, Kartik Venkataraman, Ramesh Raskar, Achuta Kadambi:
Deep Polarization Cues for Transparent Object Segmentation. 8599-8608 - Jonas Schult, Francis Engelmann, Theodora Kontogianni, Bastian Leibe:
DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes. 8609-8619 - Konstantin Sofiiuk, Ilia A. Petrov, Olga Barinova, Anton Konushin:
F-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation. 8620-8629 - Muxingzi Li, Florent Lafarge, Renaud Marlet:
Approximating shapes in images with low-complexity polygons. 8630-8638
Oral 2-4B: Explainable AI; Fairness, Accountability, Transparency and Ethics in Vision
- WenQian Liu, Runze Li, Meng Zheng, Srikrishna Karanam, Ziyan Wu, Bir Bhanu, Richard J. Radke, Octavia I. Camps:
Towards Visually Explaining Variational Autoencoders. 8639-8648 - Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai:
Towards Global Explanations of Convolutional Neural Networks With Concept Attribution. 8649-8658 - Zixuan Huang, Yin Li:
Interpretable and Accurate Fine-grained Recognition via Region Grouping. 8659-8669 - Naman Bansal, Chirag Agarwal, Anh Nguyen:
SAM: The Sensitivity of Attribution Methods to Hyperparameters. 8670-8680 - Haohan Wang, Xindi Wu, Zeyi Huang, Eric P. Xing:
High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks. 8681-8691 - Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros:
CNN-Generated Images Are Surprisingly Easy to Spot... for Now. 8692-8701 - Shaohua Li, Kaiping Xue, Bin Zhu, Chenkai Ding, Xindi Gao, David S. L. Wei, Tao Wan:
FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions. 8702-8711
Oral 2-4C: Transfer/Low-Shot/Semi/Unsupervised Learning (2)
- Hongxu Yin, Pavlo Molchanov, José M. Álvarez, Zhizhong Li, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz:
Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion. 8712-8721 - Hui Tang, Ke Chen, Kui Jia:
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering. 8722-8732 - Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu:
HyperSTAR: Task-Aware Hyperparameters for Deep Networks. 8733-8742 - Linchao Zhu, Yi Yang:
ActBERT: Learning Global-Local Video-Text Representations. 8743-8752 - Beichen Zhang, Liang Li, Shijie Yang, Shuhui Wang, Zheng-Jun Zha, Qingming Huang:
State-Relabeling Adversarial Active Learning. 8753-8762 - Jinjie Mai, Meng Yang, Wenfeng Luo:
Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization. 8763-8772 - Dat Huynh, Ehsan Elhamifar:
A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning. 8773-8783 - Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi:
Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos. 8784-8794
Poster 2-4P
- Bo Liu, Hao Kang, Haoxiang Li, Gang Hua, Nuno Vasconcelos:
Few-Shot Open-Set Recognition Using Meta-Learning. 8795-8804 - Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, Fei Sha:
Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions. 8805-8814 - Ping Hu, Fabian Caba, Oliver Wang, Zhe Lin, Stan Sclaroff, Federico Perazzi:
Temporally Distributed Networks for Fast Video Semantic Segmentation. 8815-8824 - Christoph Kamann, Carsten Rother:
Benchmarking the Robustness of Semantic Segmentation Models. 8825-8835 - Sylvestre-Alvise Rebuffi, Ruth Fong, Xu Ji, Andrea Vedaldi:
There and Back Again: Revisiting Backpropagation Saliency Methods. 8836-8845 - Jiabo Huang, Shaogang Gong, Xiatian Zhu:
Deep Semantic Clustering by Partition Confidence Maximisation. 8846-8855 - Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas:
StructEdit: Learning Structural Shape Variations. 8856-8865 - Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou:
Harmonizing Transferability and Discriminability for Adapting Object Detectors. 8866-8875 - Xuhua Huang, Jiarui Xu, Yu-Wing Tai, Chi-Keung Tang:
Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching. 8876-8886 - Ho Kei Cheng, Jihoon Chung, Yu-Wing Tai, Chi-Keung Tang:
CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement. 8887-8896 - Ziwei Zhang, Chi Su, Liang Zheng, Xiaodong Xie:
Correlating Edge, Pose With Parsing. 8897-8906 - Yong-Qiang Tan, Shanghua Gao, Xuan-Yi Li, Ming-Ming Cheng, Bo Ren:
VecRoad: Point-Based Iterative Graph Exploration for Road Graphs Extraction. 8907-8915 - Zeyu Wang, Klint Qinami, Ioannis Christos Karakozis, Kyle Genova, Prem Nair, Kenji Hata, Olga Russakovsky:
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation. 8916-8925 - Wenguan Wang, Hailong Zhu, Jifeng Dai, Yanwei Pang, Jianbing Shen, Ling Shao:
Hierarchical Human Parsing With Typed Part-Relation Reasoning. 8926-8936 - Adam Kortylewski, Ju He, Qing Liu, Alan L. Yuille:
Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion. 8937-8946 - Xia Li, Yibo Yang, Qijie Zhao, Tiancheng Shen, Zhouchen Lin, Hong Liu:
Spatial Pyramid Based Graph Reasoning for Semantic Segmentation. 8947-8956 - Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David J. Crandall, Steven C. H. Hoi:
Learning Video Object Segmentation From Unlabeled Videos. 8957-8967 - Xiaomei Zhang, Yingying Chen, Bingke Zhu, Jinqiao Wang, Ming Tang:
Part-Aware Context Network for Human Parsing. 8968-8977 - Pei Wang, Nuno Vasconcelos:
SCOUT: Self-Aware Discriminant Counterfactual Explanations. 8978-8987 - Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Weakly-Supervised Semantic Segmentation via Sub-Category Exploration. 8988-8997 - Janghyeon Lee, Hyeong Gwon Hong, Donggyu Joo, Junmo Kim:
Continual Learning With Extended Kronecker-Factored Approximate Curvature. 8998-9007 - Yanchao Yang, Dong Lao, Ganesh Sundaramoorthi, Stefano Soatto:
Phase Consistent Ecological Domain Adaptation. 9008-9017 - Yunpeng Zhai, Shijian Lu, Qixiang Ye, Xuebo Shan, Jie Chen, Rongrong Ji, Yonghong Tian:
AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification. 9018-9027 - Francis Engelmann, Martin Bokeloh, Alireza Fathi, Bastian Leibe, Matthias Nießner:
3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance Segmentation. 9028-9037 - Denis A. Gudovskiy, Alec Hodgkinson, Takuya Yamaguchi, Sotaro Tsukizawa:
Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision. 9038-9046 - Kaihua Zhang, Tengpeng Li, Shiwen Shen, Bo Liu, Jin Chen, Qingshan Liu:
Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection. 9047-9056 - Yongri Piao, Zhengkun Rong, Miao Zhang, Weisong Ren, Huchuan Lu:
A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection. 9057-9066 - Peizhao Li, Han Zhao, Hongfu Liu:
Deep Fair Clustering for Visual Learning. 9067-9076 - Yangxin Wu, Gengwei Zhang, Yiming Gao, Xiajun Deng, Ke Gong, Xiaodan Liang, Liang Lin:
Bidirectional Graph Reasoning Network for Panoptic Segmentation. 9077-9086 - Chih-Hui Ho, Bo Liu, Tz-Ying Wu, Nuno Vasconcelos:
Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition. 9087-9097 - Xiang Gu, Jian Sun, Zongben Xu:
Spherical Space Domain Adaptation With Robust Pseudo-Label Loss. 9098-9107 - Zhihe Lu, Yongxin Yang, Xiatian Zhu, Cong Liu, Yi-Zhe Song, Tao Xiang:
Stochastic Classifiers for Unsupervised Domain Adaptation. 9108-9117 - Nenglun Chen, Lingjie Liu, Zhiming Cui, Runnan Chen, Duygu Ceylan, Changhe Tu, Wenping Wang:
Unsupervised Learning of Intrinsic Structural Representation Points. 9118-9127 - Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Yuwen Xiong, Rui Hu, Raquel Urtasun:
PolyTransform: Deep Polygon Transformer for Instance Segmentation. 9128-9137 - Huajun Zhou, Xiaohua Xie, Jian-Huang Lai, Zixuan Chen, Lingxiao Yang:
Interactive Two-Stream Decoder for Accurate and Fast Saliency Detection. 9138-9147 - Wang Zhao, Shaohui Liu, Yezhi Shu, Yong-Jin Liu:
Towards Better Generalization: Joint Depth-Pose Learning Without PoseNet. 9148-9158 - Shuxin Wang, Shilei Cao, Dong Wei, Renzhen Wang, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng:
LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation. 9159-9168 - Zhibo Fan, Jin-Gang Yu, Zhihao Liang, Jiarong Ou, Changxin Gao, Gui-Song Xia, Yuanqing Li:
FGN: Fully Guided Network for Few-Shot Instance Segmentation. 9169-9178 - Vladislav Golyanik, Christian Theobalt:
A Quantum Computational Approach to Correspondence Problems on Point Sets. 9179-9188 - Peibin Chen, Tao Ma, Xu Qin, Weidi Xu, Shuchang Zhou:
Data-Efficient Semi-Supervised Learning by Reliable Edge Mining. 9189-9198 - Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden:
NestedVAE: Isolating Common Factors via Weak Supervision. 9199-9209 - Sinan Wang, Xinyang Chen, Yunbo Wang, Mingsheng Long, Jianmin Wang:
Progressive Adversarial Networks for Fine-Grained Domain Adaptation. 9210-9219 - Patrick Esser, Robin Rombach, Björn Ommer:
A Disentangling Invertible Interpretation Network for Explaining Latent Representations. 9220-9229 - Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, Barbara Caputo:
Modeling the Background for Incremental Learning in Semantic Segmentation. 9230-9239 - Yujun Shen, Jinjin Gu, Xiaoou Tang, Bolei Zhou:
Interpreting the Latent Space of GANs for Semantic Face Editing. 9240-9249 - Jianqiang Wan, Yang Liu, Donglai Wei, Xiang Bai, Yongchao Xu:
Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation. 9250-9259 - Tao Li, Zhiyuan Liang, Sanyuan Zhao, Jiahao Gong, Jianbing Shen:
Self-Learning With Rectification Strategy for Human Parsing. 9260-9269 - Shaoteng Liu, Jingjing Chen, Liangming Pan, Chong-Wah Ngo, Tat-Seng Chua, Yu-Gang Jiang:
Hyperbolic Visual Embedding Learning for Zero-Shot Recognition. 9270-9278 - Guy Davidson, Michael C. Mozer:
Sequential Mastery of Multiple Visual Tasks: Networks Naturally Learn to Learn and Forget to Forget. 9279-9290 - Zizhao Zhang, Han Zhang, Sercan Ömer Arik, Honglak Lee, Tomas Pfister:
Distilling Effective Supervision From Severe Label Noise. 9291-9300 - Aditya Golatkar, Alessandro Achille, Stefano Soatto:
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks. 9301-9309 - Yuqing Wang, Zhaoliang Xu, Hao Shen, Baoshan Cheng, Lirong Yang:
CenterMask: Single Shot Instance Segmentation With Point Representation. 9310-9318 - Mei Wang, Weihong Deng:
Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning. 9319-9328 - Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, Joost van de Weijer:
MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images. 9329-9338 - Vignesh Ramanathan, Rui Wang, Dhruv Mahajan:
DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data. 9339-9349 - Yi Shi, Mengchen Xu, Shuaihang Yuan, Yi Fang:
Unsupervised Deep Shape Descriptor With Point Distribution Learning. 9350-9359 - Zhongyou Xu, Tingting Wang, Faming Fang, Yun Sheng, Guixu Zhang:
Stylization-Based Architecture for Fast Deep Exemplar Colorization. 9360-9369 - Sungha Choi, Joanne Taery Kim, Jaegul Choo:
Cars Can't Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks. 9370-9380 - Xi Chen, Zuoxin Li, Ye Yuan, Gang Yu, Jianxin Shen, Donglian Qi:
State-Aware Tracker for Real-Time Video Object Segmentation. 9381-9390 - Xuan Liao, Wenhao Li, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Yanfeng Wang, Ya Zhang:
Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning. 9391-9399 - Song Bian, Tianchen Wang, Masayuki Hiromoto, Yiyu Shi, Takashi Sato:
ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition. 9400-9409 - Youwei Pang, Xiaoqi Zhao, Lihe Zhang, Huchuan Lu:
Multi-Scale Interactive Network for Salient Object Detection. 9410-9419 - Dat Huynh, Ehsan Elhamifar:
Interactive Multi-Label CNN Learning With Partial Labels. 9420-9429 - Yawar Siddiqui, Julien Valentin, Matthias Nießner:
ViewAL: Active Learning With Viewpoint Entropy for Semantic Segmentation. 9430-9440 - Myungsub Choi, Janghoon Choi, Sungyong Baik, Tae Hyun Kim, Kyoung Mu Lee:
Scene-Adaptive Video Frame Interpolation via Meta-Learning. 9441-9450 - Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib, Zsolt Kira:
Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation. 9451-9460 - Haochen Wang, Ruotian Luo, Michael Maire, Greg Shakhnarovich:
Pixel Consensus Voting for Panoptic Segmentation. 9461-9470 - Qiuxiang Zhong, Yutong Li, Yijie Yang, Yuping Duan:
Minimizing Discrete Total Curvature for Image Processing. 9471-9479 - Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli:
Towards Robust Image Classification Using Sequential Attention Models. 9480-9489 - Evangelos Sariyanidi, Casey J. Zampella, G. Keith Bartley, John D. Herrington, Theodore D. Satterthwaite, Robert T. Schultz, Birkan Tunç:
Discovering Synchronized Subsets of Sequences: A Large Scale Solution. 9490-9499 - Eric-Tuan Le, Iasonas Kokkinos, Niloy J. Mitra:
Going Deeper With Lean Point Networks. 9500-9509 - Rui Xiang, Rongjie Lai, Hongkai Zhao:
Efficient and Robust Shape Correspondence via Sparsity-Enforced Quadratic Assignment. 9510-9519 - Yiran Xu, Xiaoyin Yang, Lihang Gong, Hsuan-Chu Lin, Tz-Ying Wu, Yunsheng Li, Nuno Vasconcelos:
Explainable Object-Induced Action Decision for Autonomous Vehicles. 9520-9529 - Ildoo Kim, Woonhyuk Baek, Sungwoong Kim:
Spatially Attentive Output Layer for Image Classification. 9530-9539 - Mohammad A. A. K. Jalwana, Naveed Akhtar, Mohammed Bennamoun, Ajmal Mian:
Attack to Explain Deep Representation. 9540-9549 - Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu, Hidekata Hontani, Ichiro Takeuchi:
Computing Valid P-Values for Image Segmentation by Selective Inference. 9550-9559 - Chengxu Zhuang, Tianwei She, Alex Andonian, Max Sobol Mark, Daniel Yamins:
Unsupervised Learning From Video With Deep Neural Embeddings. 9560-9569 - Xiufeng Xie, Kyu-Han Kim:
Partial Weight Adaptation for Robust DNN Inference. 9570-9578 - Fuxiang Huang, Lei Zhang, Yang Yang, Xichuan Zhou:
Probability Weighted Compact Feature for Domain Adaptive Retrieval. 9579-9588 - Michael Strecke, Joerg Stueckler:
Where Does It End? - Reasoning About Hidden Surfaces by Object Intersection Constraints. 9589-9597 - Yang Zhang, Zixiang Zhou, Philip David, Xiangyu Yue, Zerong Xi, Boqing Gong, Hassan Foroosh:
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation. 9598-9607 - Dwarikanath Mahapatra, Behzad Bozorgtabar, Ling Shao:
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation. 9608-9617 - Yiheng Zhang, Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Dong Liu, Tao Mei:
Transferring and Regularizing Prediction for Semantic Segmentation. 9618-9627 - Kun Su, Xiulong Liu, Eli Shlizerman:
PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition. 9628-9637 - Rui Li, Qianfen Jiao, Wenming Cao, Hau-San Wong, Si Wu:
Model Adaptation: Unsupervised Domain Adaptation Without Source Data. 9638-9647 - Yanru Xiao, Cong Wang, Xing Gao:
Evade Deep Image Retrieval by Stashing Private Images in the Hash Space. 9648-9657 - Jinkyu Kim, Suhong Moon, Anna Rohrbach, Trevor Darrell, John F. Canny:
Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules. 9658-9667 - V. S. R. Veeravasarapu, Abhishek Goel, Deepak Mittal, Maneesh Kumar Singh:
ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours. 9668-9676 - Shawn Xu, Subhashini Venugopalan, Mukund Sundararajan:
Attribution in Scale and Space. 9677-9686 - Vedika Agarwal, Rakshith Shetty, Mario Fritz:
Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing. 9687-9695
Oral 3-1A: Recognition (Detection, Categorization) (1)
- Shi-Xue Zhang, Xiaobin Zhu, Jie-Bo Hou, Chang Liu, Chun Yang, Hongfa Wang, Xu-Cheng Yin:
Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection. 9696-9705 - Junran Peng, Xingyuan Bu, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan:
Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels. 9706-9715 - Boyan Zhou, Quan Cui, Xiu-Shen Wei, Zhao-Min Chen:
BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition. 9716-9725 - Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross B. Girshick:
Momentum Contrast for Unsupervised Visual Representation Learning. 9726-9735 - Gedas Bertasius, Lorenzo Torresani:
Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation. 9736-9745 - Zhihui Wang, Shijie Wang, Shuhui Yang, Haojie Li, Jianjun Li, Zezhou Li:
Weakly Supervised Fine-Grained Image Classification via Guassian Mixture Model Oriented Discriminative Learning. 9746-9755 - Shifeng Zhang, Cheng Chi, Yongqiang Yao, Zhen Lei, Stan Z. Li:
Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection. 9756-9765 - Thibaut Durand:
Learning User Representations for Open Vocabulary Image Hashtag Prediction. 9766-9775 - Ayan Kumar Bhunia, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval. 9776-9785 - Suiyi Ling, Andreas Pastor, Jing Li, Zhaohui Che, Junle Wang, Jieun Kim, Patrick Le Callet:
Few-Shot Pill Recognition. 9786-9795 - Alexander Kirillov, Yuxin Wu, Kaiming He, Ross B. Girshick:
PointRend: Image Segmentation As Rendering. 9796-9805 - Yuliang Liu, Hao Chen, Chunhua Shen, Tong He, Lianwen Jin, Liangwei Wang:
ABCNet: Real-Time Scene Text Spotting With Adaptive Bezier-Curve Network. 9806-9815
Oral 3-1B: Video Analysis and Understanding
- Guoqiang Gong, Xinghan Wang, Yadong Mu, Qi Tian:
Learning Temporal Co-Attention Models for Unsupervised Video Action Localization. 9816-9825 - Yizhou Zhou, Xiaoyan Sun, Chong Luo, Zheng-Jun Zha, Wenjun Zeng:
Spatiotemporal Fusion in 3D CNNs: A Probabilistic View. 9826-9835 - Yansong Tang, Zanlin Ni, Jiahuan Zhou, Danyang Zhang, Jiwen Lu, Ying Wu, Jie Zhou:
Uncertainty-Aware Score Distribution Learning for Action Quality Assessment. 9836-9845 - Anna Kukleva, Makarand Tapaswi, Ivan Laptev:
Learning Interactions and Relationships Between Movie Characters. 9846-9855 - Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon:
Video Panoptic Segmentation. 9856-9865 - Dandan Shan, Jiaqi Geng, Michelle Shu, David F. Fouhey:
Understanding Human Hands in Contact at Internet Scale. 9866-9875 - Antoine Miech, Jean-Baptiste Alayrac, Lucas Smaira, Ivan Laptev, Josef Sivic, Andrew Zisserman:
End-to-End Learning of Visual Representations From Uncurated Instructional Videos. 9876-9886 - Evonne Ng, Donglai Xiang, Hanbyul Joo, Kristen Grauman:
You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions. 9887-9897 - Jie Chen, Zhiheng Li, Jiebo Luo, Chenliang Xu:
Learning a Weakly-Supervised Video Actor-Action Segmentation Model With a Wise Selection. 9898-9908 - Abdullah Haroon Rasheed, Victor Romero, Florence Bertails-Descoubes, Stefanie Wuhrer, Jean-Sébastien Franco, Arnaud Lazarus:
Learning to Measure the Static Friction Coefficient in Cloth Contact. 9909-9918 - Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Michal Irani, Tali Dekel:
SpeedNet: Learning the Speediness in Videos. 9919-9928 - Karren Yang, Bryan C. Russell, Justin Salamon:
Telling Left From Right: Learning Spatial Correspondence of Sight and Sound. 9929-9938
Oral 3-1C: Vision & Language
- Bruce McIntosh, Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
Visual-Textual Capsule Routing for Text-Based Video Segmentation. 9939-9948 - Sibei Yang, Guanbin Li, Yizhou Yu:
Graph-Structured Referring Expression Reasoning in the Wild. 9949-9958 - Shizhe Chen, Qin Jin, Peng Wang, Qi Wu:
Say As You Wish: Fine-Grained Control of Image Caption Generation With Abstract Scene Graphs. 9959-9968 - Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Hierarchical Conditional Relation Networks for Video Question Answering. 9969-9978 - Yuankai Qi, Qi Wu, Peter Anderson, Xin Wang, William Yang Wang, Chunhua Shen, Anton van den Hengel:
REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments. 9979-9988 - Ronghang Hu, Amanpreet Singh, Trevor Darrell, Marcus Rohrbach:
Iterative Answer Prediction With Pointer-Augmented Multimodal Transformers for TextVQA. 9989-9999 - Ramprasaath R. Selvaraju, Purva Tendulkar, Devi Parikh, Eric Horvitz, Marco Túlio Ribeiro, Besmira Nushi, Ece Kamar:
SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions. 10000-10008 - Fengda Zhu, Yi Zhu, Xiaojun Chang, Xiaodan Liang:
Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks. 10009-10019 - Necati Cihan Camgöz, Oscar Koller, Simon Hadfield, Richard Bowden:
Sign Language Transformers: Joint End-to-End Sign Language Recognition and Translation. 10020-10030 - Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Liujuan Cao, Chenglin Wu, Cheng Deng, Rongrong Ji:
Multi-Task Collaborative Network for Joint Referring Expression Comprehension and Segmentation. 10031-10040 - Ehsan Abbasnejad, Damien Teney, Amin Parvaneh, Javen Shi, Anton van den Hengel:
Counterfactual Vision and Language Learning. 10041-10051 - Dan Guo, Hui Wang, Hanwang Zhang, Zheng-Jun Zha, Meng Wang:
Iterative Context-Aware Graph Inference for Visual Dialog. 10052-10061 - Peixi Xiong, Ying Wu:
TA-Student VQA: Multi-Agents Training by Self-Questioning. 10062-10072
Poster 3-1P
- Hengshuang Zhao, Jiaya Jia, Vladlen Koltun:
Exploring Self-Attention for Image Recognition. 10073-10082 - Zhenfang Chen, Peng Wang, Lin Ma, Kwan-Yee K. Wong, Qi Wu:
Cops-Ref: A New Dataset and Task on Compositional Referring Expression Comprehension. 10083-10092 - Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Changhu Wang, Jiashi Feng:
Improving Convolutional Networks With Self-Calibrated Convolutions. 10093-10102 - Junyeong Kim, Minuk Ma, Trung X. Pham, Kyungsu Kim, Chang D. Yoo:
Modality Shifting Attention Network for Multi-Modal Video Question Answering. 10103-10112 - Yunzhong Hou, Liang Zheng, Stephen Gould:
Learning to Structure an Image With Few Colors. 10113-10122 - Xinyu Wang, Yuliang Liu, Chunhua Shen, Chun Chet Ng, Canjie Luo, Lianwen Jin, Chee Seng Chan, Anton van den Hengel, Liangwei Wang:
On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering. 10123-10132 - Ziad Al-Halah, Kristen Grauman:
From Paris to Berlin: Discovering Fashion Style Influences Around the World. 10133-10142 - Anyi Rao, Linning Xu, Yu Xiong, Guodong Xu, Qingqiu Huang, Bolei Zhou, Dahua Lin:
A Local-to-Global Approach to Multi-Modal Movie Scene Segmentation. 10143-10152 - Mengmeng Xu, Chen Zhao, David S. Rojas, Ali K. Thabet, Bernard Ghanem:
G-TAD: Sub-Graph Localization for Temporal Action Detection. 10153-10162 - Yong-Lu Li, Xinpeng Liu, Han Lu, Shiyi Wang, Junqi Liu, Jiefeng Li, Cewu Lu:
Detailed 2D-3D Joint Representation for Human-Object Interaction. 10163-10172 - Xuesong Chen, Xiyu Yan, Feng Zheng, Yong Jiang, Shu-Tao Xia, Yong Zhao, Rongrong Ji:
One-Shot Adversarial Attacks on Visual Tracking With Dual Attention. 10173-10182 - Yue Wu, Yinpeng Chen, Lu Yuan, Zicheng Liu, Lijuan Wang, Hongzhi Li, Yun Fu:
Rethinking Classification and Localization for Object Detection. 10183-10192 - Shuda Li, Kai Han, Theo W. Costain, Henry Howard-Jenkins, Victor Prisacariu:
Correspondence Networks With Adaptive Neighbourhood Consensus. 10193-10202 - Wei Ke, Tianliang Zhang, Zeyi Huang, Qixiang Ye, Jianzhuang Liu, Dong Huang:
Multiple Anchor Learning for Visual Object Detection. 10203-10212 - Chenyun Wu, Zhe Lin, Scott Cohen, Trung Bui, Subhransu Maji:
PhraseCut: Language-Based Image Segmentation in the Wild. 10213-10222 - Rufeng Zhang, Zhi Tian, Chunhua Shen, Mingyu You, Youliang Yan:
Mask Encoding for Single Shot Instance Segmentation. 10223-10232 - Jingwei Ji, Ranjay Krishna, Li Fei-Fei, Juan Carlos Niebles:
Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs. 10233-10244 - Muli Yang, Cheng Deng, Junchi Yan, Xianglong Liu, Dacheng Tao:
Learning Unseen Concepts via Hierarchical Decomposition and Composition. 10245-10253 - Seokeon Choi, Sumin Lee, Youngeun Kim, Taekyung Kim, Changick Kim:
Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification. 10254-10263 - Huaizu Jiang, Ishan Misra, Marcus Rohrbach, Erik G. Learned-Miller, Xinlei Chen:
In Defense of Grid Features for Visual Question Answering. 10264-10273 - Tao Zhou, Huazhu Fu, Chen Gong, Jianbing Shen, Ling Shao, Fatih Porikli:
Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation. 10274-10283 - Runhao Zeng, Haoming Xu, Wenbing Huang, Peihao Chen, Mingkui Tan, Chuang Gan:
Dense Regression Network for Video Grounding. 10284-10293 - Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan L. Yuille:
Neural Architecture Search for Lightweight Non-Local Networks. 10294-10303 - Yanzhao Zhou, Xin Wang, Jianbin Jiao, Trevor Darrell, Fisher Yu:
Learning Saliency Propagation for Semi-Supervised Instance Segmentation. 10304-10313 - Arsha Nagrani, Chen Sun, David Ross, Rahul Sukthankar, Cordelia Schmid, Andrew Zisserman:
Speech2Action: Cross-Modal Supervision for Action Recognition. 10314-10323 - Longteng Guo, Jing Liu, Xinxin Zhu, Peng Yao, Shichen Lu, Hanqing Lu:
Normalized and Geometry-Aware Self-Attention Network for Image Captioning. 10324-10333 - Yihong Chen, Yue Cao, Han Hu, Liwei Wang:
Memory Enhanced Global-Local Aggregation for Video Object Detection. 10334-10343 - Kaiyue Pang, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval. 10344-10352 - Hang Zhou, Dongdong Chen, Jing Liao, Kejiang Chen, Xiaoyi Dong, Kunlin Liu, Weiming Zhang, Gang Hua, Nenghai Yu:
LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks. 10353-10362 - Jiaxu Miao, Yunchao Wei, Yi Yang:
Memory Aggregation Networks for Efficient Interactive Video Object Segmentation. 10363-10372 - Ben Zion Vatashsky, Shimon Ullman:
VQA With No Questions-Answers Training. 10373-10383 - Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman:
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild. 10384-10393 - Shiyi Lan, Zhou Ren, Yi Wu, Larry S. Davis, Gang Hua:
SaccadeNet: A Fast and Accurate Object Detector. 10394-10403 - Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Zhibo Chen:
Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-Based Person Re-Identification. 10404-10413 - Arka Sadhu, Kan Chen, Ram Nevatia:
Video Object Grounding Using Semantic Roles in Language Description. 10414-10424 - Ilija Radosavovic, Raj Prateek Kosaraju, Ross B. Girshick, Kaiming He, Piotr Dollár:
Designing Network Design Spaces. 10425-10433 - Jiasen Lu, Vedanuj Goswami, Marcus Rohrbach, Devi Parikh, Stefan Lee:
12-in-1: Multi-Task Vision and Language Representation Learning. 10434-10443 - Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Yiming Zhang, Kai Xu, Jun Wang:
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection. 10444-10453 - Ruohan Gao, Tae-Hyun Oh, Kristen Grauman, Lorenzo Torresani:
Listen to Look: Action Recognition by Previewing Audio. 10454-10464 - Ruyi Ji, Longyin Wen, Libo Zhang, Dawei Du, Yanjun Wu, Chen Zhao, Xianglong Liu, Feiyue Huang:
Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization. 10465-10474 - Chuang Gan, Deng Huang, Hang Zhao, Joshua B. Tenenbaum, Antonio Torralba:
Music Gesture for Visual Sound Separation. 10475-10484 - Shaofei Huang, Tianrui Hui, Si Liu, Guanbin Li, Yunchao Wei, Jizhong Han, Luoqi Liu, Bo Li:
Referring Image Segmentation via Cross-Modal Progressive Comprehension. 10485-10494 - Tom F. H. Runia, Kirill Gavrilyuk, Cees G. M. Snoek, Arnold W. M. Smeulders:
Cloth in the Wind: A Case Study of Physical Measurement Through Simulation. 10495-10504 - Junwei Liang, Lu Jiang, Kevin P. Murphy, Ting Yu, Alexander G. Hauptmann:
The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction. 10505-10515 - Zhiwei Dong, Guoxuan Li, Yue Liao, Fei Wang, Pengju Ren, Chen Qian:
CentripetalNet: Pursuing High-Quality Keypoint Pairs for Object Detection. 10516-10525 - Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, Hongsheng Li:
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection. 10526-10535 - Amir Markovitz, Gilad Sharir, Itamar Friedman, Lihi Zelnik-Manor, Shai Avidan:
Graph Embedded Pose Clustering for Anomaly Detection. 10536-10544 - Jiaming Sun, Linghao Chen, Yiming Xie, Siyu Zhang, Qinhong Jiang, Xiaowei Zhou, Hujun Bao:
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation. 10545-10554 - Peng Zhou, Brian L. Price, Scott Cohen, Gregg Wilensky, Larry S. Davis:
Deepstrip: High-Resolution Boundary Refinement. 10555-10564 - Guangcong Wang, Jian-Huang Lai, Wenqi Liang, Guangrun Wang:
Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification. 10565-10574 - Marcella Cornia, Matteo Stefanini, Lorenzo Baraldi, Rita Cucchiara:
Meshed-Memory Transformer for Image Captioning. 10575-10584 - Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, Larry S. Davis:
Learning From Noisy Anchors for One-Stage Object Detection. 10585-10594 - Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz:
Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection. 10595-10604 - Syeda Mariam Ahmed, Chee-Meng Chew:
Density-Based Clustering for 3D Object Detection in Point Clouds. 10605-10614 - Kaidi Cao, Jingwei Ji, Zhangjie Cao, Chien-Yi Chang, Juan Carlos Niebles:
Few-Shot Video Classification via Temporal Alignment. 10615-10624 - Jiemin Fang, Yuzhu Sun, Qian Zhang, Yuan Li, Wenyu Liu, Xinggang Wang:
Densely Connected Search Space for More Flexible Neural Architecture Search. 10625-10634 - Shizhe Chen, Yida Zhao, Qin Jin, Qi Wu:
Fine-Grained Video-Text Retrieval With Hierarchical Graph Reasoning. 10635-10644 - Josip Saric, Marin Orsic, Tonci Antunovic, Sacha Vrazic, Sinisa Segvic:
Warp to the Future: Joint Forecasting of Features and Feature Motion. 10645-10654 - Zhengsu Chen, Jianwei Niu, Lingxi Xie, Xuefeng Liu, Longhui Wei, Qi Tian:
Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio. 10655-10664 - Zhu Zhang, Zhou Zhao, Yang Zhao, Qi Wang, Huasheng Liu, Lianli Gao:
Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences. 10665-10674 - Ya Jing, Wei Wang, Liang Wang, Tieniu Tan:
Cross-Modal Cross-Domain Moment Alignment Network for Person Search. 10675-10683 - Qizhe Xie, Minh-Thang Luong, Eduard H. Hovy, Quoc V. Le:
Self-Training With Noisy Student Improves ImageNet Classification. 10684-10695 - Lijie Fan, Tianhong Li, Rongyao Fang, Rumen Hristov, Yuan Yuan, Dina Katabi:
Learning Longterm Representations for Person Re-Identification Using Radio Signals. 10696-10706 - Keunhong Park, Arsalan Mousavian, Yu Xiang, Dieter Fox:
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation. 10707-10716 - Justin Lazarow, Kwonjoon Lee, Kunyu Shi, Zhuowen Tu:
Learning Instance Occlusion for Panoptic Segmentation. 10717-10726 - Yi Zhu, Fengda Zhu, Zhaohuan Zhan, Bingqian Lin, Jianbin Jiao, Xiaojun Chang, Xiaodan Liang:
Vision-Dialog Navigation by Exploring Cross-Modal Memory. 10727-10736 - Mohit Shridhar, Jesse Thomason, Daniel Gordon, Yonatan Bisk, Winson Han, Roozbeh Mottaghi, Luke Zettlemoyer, Dieter Fox:
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks. 10737-10746 - Xin Huang, Zheng Ge, Zequn Jie, Osamu Yoshie:
NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing. 10747-10756 - Tan Wang, Jianqiang Huang, Hanwang Zhang, Qianru Sun:
Visual Commonsense R-CNN. 10757-10767 - Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu:
What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective. 10768-10777 - Mingxing Tan, Ruoming Pang, Quoc V. Le:
EfficientDet: Scalable and Efficient Object Detection. 10778-10787 - Mingjie Sun, Jimin Xiao, Eng Gee Lim, Bingfeng Zhang, Yao Zhao:
Fast Template Matching and Update for Video Object Tracking and Segmentation. 10788-10796 - Long Chen, Xin Yan, Jun Xiao, Hanwang Zhang, Shiliang Pu, Yueting Zhuang:
Counterfactual Samples Synthesizing for Robust Visual Question Answering. 10797-10806 - Jonghwan Mun, Minsu Cho, Bohyung Han:
Local-Global Video-Text Interactions for Temporal Grounding. 10807-10816 - Jun Li, Sinisa Todorovic:
Set-Constrained Viterbi for Set-Supervised Action Segmentation. 10817-10826 - Yunbo Wang, Jiajun Wu, Mingsheng Long, Joshua B. Tenenbaum:
Probabilistic Video Prediction From Noisy Data With a Posterior Confidence. 10827-10836 - Chenchen Liu, Yang Jin, Kehan Xu, Guoqiang Gong, Yadong Mu:
Beyond Short-Term Snippet: Video Relation Detection With Spatio-Temporal Global Context. 10837-10846 - Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman:
Visual Grounding in Video for Unsupervised Word Translation. 10847-10856 - Jiaxin Qi, Yulei Niu, Jianqiang Huang, Hanwang Zhang:
Two Causal Principles for Improving Visual Dialog. 10857-10866 - Boxiao Pan, Haoye Cai, De-An Huang, Kuan-Hui Lee, Adrien Gaidon, Ehsan Adeli, Juan Carlos Niebles:
Spatio-Temporal Graph for Video Captioning With Knowledge Distillation. 10867-10876 - Yue Liao, Si Liu, Guanbin Li, Fei Wang, Yanjie Chen, Chen Qian, Bo Li:
A Real-Time Cross-Modality Correlation Filtering Method for Referring Expression Comprehension. 10877-10886 - Jia Chen, Qin Jin:
Better Captioning With Sequence-Level Exploration. 10887-10896 - Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu:
Violin: A Large-Scale Dataset for Video-and-Language Inference. 10897-10907 - Jun Cheng, Fuxiang Wu, Yanling Tian, Lei Wang, Dapeng Tao:
RiFeGAN: Rich Feature Generation for Text-to-Image Synthesis From Prior Knowledge. 10908-10917 - Chunxiao Liu, Zhendong Mao, Tianzhu Zhang, Hongtao Xie, Bin Wang, Yongdong Zhang:
Graph Structured Network for Image-Text Matching. 10918-10927 - Washington L. S. Ramos, Michel Melo Silva, Edson R. Araujo, Leandro Soriano Marcolino, Erickson Rangel do Nascimento:
Straight to the Point: Fast-Forwarding Videos via Reinforcement Learning Using Textual Data. 10928-10937 - Xi Wei, Tianzhu Zhang, Yan Li, Yongdong Zhang, Feng Wu:
Multi-Modality Cross Attention Network for Image and Sentence Matching. 10938-10947 - Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira:
Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data. 10948-10957 - Donghoon Lee, Hyunsin Park, Trung X. Pham, Chang D. Yoo:
Learning Augmentation Network via Influence Functions. 10958-10967 - Yingwei Pan, Ting Yao, Yehao Li, Tao Mei:
X-Linear Attention Networks for Image Captioning. 10968-10977
Oral 3-2A: Recognition (Detection, Categorization) (2)
- Dongkai Wang, Shiliang Zhang:
Unsupervised Person Re-Identification via Multi-Label Classification. 10978-10987 - Yu Li, Tao Wang, Bingyi Kang, Sheng Tang, Chunfeng Wang, Jintao Li, Jiashi Feng:
Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax. 10988-10997 - Peiyun Hu, Jason Ziglar, David Held, Deva Ramanan:
What You See is What You Get: Exploiting Visibility for 3D Object Detection. 10998-11006 - Wei Zhai, Yang Cao, Zheng-Jun Zha, Haiyong Xie, Feng Wu:
Deep Structure-Revealed Network for Texture Recognition. 11007-11016 - Qiushan Guo, Xinjiang Wang, Yichao Wu, Zhipeng Yu, Ding Liang, Xiaolin Hu, Ping Luo:
Online Knowledge Distillation via Collaborative Learning. 11017-11026 - Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu:
Dynamic Convolution: Attention Over Convolution Kernels. 11027-11036 - Zetong Yang, Yanan Sun, Shu Liu, Jiaya Jia:
3DSSD: Point-Based 3D Single Stage Object Detector. 11037-11045 - Yang Wang, Yang Cao, Zheng-Jun Zha, Jing Zhang, Zhiwei Xiong:
Deep Degradation Prior for Low-Quality Image Classification. 11046-11055 - Wei-Lin Hsiao, Kristen Grauman:
ViBE: Dressing for Diverse Body Shapes. 11056-11066 - Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram:
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. 11067-11075 - Na Zhao, Tat-Seng Chua, Gim Hee Lee:
SESS: Self-Ensembling Semi-Supervised 3D Object Detection. 11076-11084 - Manchen Wang, Joseph Tighe, Davide Modolo:
Combining Detection and Tracking for Human Pose Estimation in Videos. 11085-11093
Oral 3-2B: Vision for Robotics and Autonomous Vehicles
- Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas J. Guibas, Hao Su:
SAPIEN: A SimulAted Part-Based Interactive ENvironment. 11094-11104 - Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham:
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds. 11105-11114 - Zhenpei Yang, Yuning Chai, Dragomir Anguelov, Yin Zhou, Pei Sun, Dumitru Erhan, Sean Rafferty, Henrik Kretzschmar:
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving. 11115-11124 - Edward Kim, Divya Gopinath, Corina S. Pasareanu, Sanjit A. Seshia:
A Programmatic and Semantic Approach to Explaining and Debugging Neural Network Based Object Detectors. 11125-11134 - Thomas Roddick, Roberto Cipolla:
Predicting Semantic Map Representations From Images Using Pyramid Occupancy Networks. 11135-11144 - Christiane Sommer, Vladyslav Usenko, David Schubert, Nikolaus Demmel, Daniel Cremers:
Efficient Derivative Computation for Cumulative B-Splines on Lie Groups. 11145-11153 - Kanishka Rao, Chris Harris, Alex Irpan, Sergey Levine, Julian Ibarz, Mohi Khansari:
RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real. 11154-11163 - Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, Raquel Urtasun:
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World. 11164-11173 - Himangi Mittal, Brian Okorn, David Held:
Just Go With the Flow: Self-Supervised Scene Flow Estimation. 11174-11182 - Srikanth Malla, Behzad Dariush, Chiho Choi:
TITAN: Future Forecast Using Action Priors. 11183-11193
Oral 3-2C: Machine Learning Architectures and Formulations
- Amir R. Zamir, Alexander Sax, Nikhil Cheerla, Rohan Suri, Zhangjie Cao, Jitendra Malik, Leonidas J. Guibas:
Robust Learning Through Cross-Task Consistency. 11194-11203 - Xingjia Pan, Yuqiang Ren, Kekai Sheng, Weiming Dong, Haolei Yuan, Xiaowei Guo, Chongyang Ma, Changsheng Xu:
Dynamic Refinement Network for Oriented and Densely Packed Object Detection. 11204-11213 - Maxim Berman, Leonid Pishchulin, Ning Xu, Matthew B. Blaschko, Gérard G. Medioni:
AOWS: Adaptive and Optimal Network Width Search With Latency Constraints. 11214-11223 - Christopher B. Choy, Junha Lee, René Ranftl, Jaesik Park, Vladlen Koltun:
High-Dimensional Convolutional Networks for Geometric Pattern Recognition. 11224-11233 - Saurabh Singh, Shankar Krishnan:
Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks. 11234-11243 - Jan Eric Lenssen, Christian Osendorfer, Jonathan Masci:
Deep Iterative Surface Normal Estimation. 11244-11253 - Calvin Murdock, Simon Lucey:
Dataless Model Selection With the Deep Frame Potential. 11254-11262 - Arash Vahdat, Arun Mallya, Ming-Yu Liu, Jan Kautz:
UNAS: Differentiable Architecture Search Meets Reinforcement Learning. 11263-11272 - Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Md Mahmudulla Hassan, Nebojsa Jojic:
Local Context Normalization: Revisiting Local Normalization. 11273-11282
Poster 3-2P
- Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi:
ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning. 11283-11292 - Eshed Ohn-Bar, Aditya Prakash, Aseem Behl, Kashyap Chitta, Andreas Geiger:
Learning Situational Driving. 11293-11302 - Kaiyue Lu, Nick Barnes, Saeed Anwar, Liang Zheng:
From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction. 11303-11312 - Yong-Lu Li, Yue Xu, Xiaohan Mao, Cewu Lu:
Symmetry and Group in Attribute-Object Compositions. 11313-11322 - Yunhang Shen, Rongrong Ji, Zhiwei Chen, Xiaopeng Hong, Feng Zheng, Jianzhuang Liu, Mingliang Xu, Qi Tian:
Noise-Aware Fully Webly Supervised Object Detection. 11323-11332 - Zongdai Liu, Feixiang Lu, Peng Wang, Hui Miao, Liangjun Zhang, Ruigang Yang, Bin Zhou:
3D Part Guided Image Editing for Fine-Grained Object Understanding. 11333-11342 - Zhishuai Zhang, Jiyang Gao, Junhua Mao, Yukai Liu, Dragomir Anguelov, Congcong Li:
STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction. 11343-11352 - Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian:
Rethinking Performance Estimation in Neural Architecture Search. 11353-11362 - Xiaoshui Huang, Guofeng Mei, Jian Zhang:
Feature-Metric Registration: A Fast Semi-Supervised Approach for Robust Point Cloud Registration Without Correspondences. 11363-11371 - Fei Xue, Xin Wu, Shaojun Cai, Junqiu Wang:
Learning Multi-View Camera Relocalization With Graph Neural Networks. 11372-11381 - Pengxiang Wu, Siheng Chen, Dimitris N. Metaxas:
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps. 11382-11392 - Dongzhan Zhou, Xinchi Zhou, Wenwei Zhang, Chen Change Loy, Shuai Yi, Xuesen Zhang, Wanli Ouyang:
EcoNAS: Finding Proxies for Economical Neural Architecture Search. 11393-11401 - Jianyuan Guo, Kai Han, Yunhe Wang, Chao Zhang, Zhaohui Yang, Han Wu, Xinghao Chen, Chang Xu:
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection. 11402-11411 - Shunwang Gong, Mehdi Bahri, Michael M. Bronstein, Stefanos Zafeiriou:
Geometrically Principled Connections in Graph Neural Networks. 11412-11421 - Zhaoyi Wan, Jielei Zhang, Liang Zhang, Jiebo Luo, Cong Yao:
On Vocabulary Reliance in Scene Text Recognition. 11422-11431 - Vishnu Suresh Lokhande, Songwong Tasneeyapant, Abhay Venkatesh, Sathya N. Ravi, Vikas Singh:
Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations. 11432-11440 - Haoshu Fang, Chenxi Wang, Minghao Gou, Cewu Lu:
GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping. 11441-11450 - Jianzhun Shao, Yuhang Jiang, Gu Wang, Zhigang Li, Xiangyang Ji:
PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation. 11451-11460 - Junfeng Guan, Sohrab Madani, Suraj Jog, Saurabh Gupta, Haitham Hassanieh:
Through Fog High-Resolution Imaging Using Millimeter Wave Radar. 11461-11470 - Vincent Le Guen, Nicolas Thome:
Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction. 11471-11481 - Jiale Cao, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao:
D2Det: Towards High Quality Object Detection and Instance Segmentation. 11482-11491 - Junbo Yin, Jianbing Shen, Chenye Guan, Dingfu Zhou, Ruigang Yang:
LiDAR-Based Online 3D Video Object Detection With Graph-Based Message Passing and Spatiotemporal Transformer Attention. 11492-11501 - Jiayun Wang, Yubei Chen, Rudrasis Chakraborty, Stella X. Yu:
Orthogonal Convolutional Neural Networks. 11502-11512 - Xiaoyi Dong, Dongdong Chen, Hang Zhou, Gang Hua, Weiming Zhang, Nenghai Yu:
Self-Robust 3D Point Recognition via Gather-Vector Guidance. 11513-11521 - Jiyang Gao, Chen Sun, Hang Zhao, Yi Shen, Dragomir Anguelov, Congcong Li, Cordelia Schmid:
VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation. 11522-11530 - Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu:
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. 11531-11539 - Yuan Gao, Haoping Bai, Zequn Jie, Jiayi Ma, Kui Jia, Wei Liu:
MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning. 11540-11549 - Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun:
PnPNet: End-to-End Perception and Prediction With Tracking in the Loop. 11550-11559 - Guanglu Song, Yu Liu, Xiaogang Wang:
Revisiting the Sibling Head in Object Detector. 11560-11569 - Kuo-Hao Zeng, Roozbeh Mottaghi, Luca Weihs, Ali Farhadi:
Visual Reaction: Learning to Play Catch With Your Drone. 11570-11579 - Yuhang Cao, Kai Chen, Chen Change Loy, Dahua Lin:
Prime Sample Attention in Object Detection. 11580-11588 - Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song:
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization. 11589-11598 - Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige:
KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects. 11599-11607 - Huan Lei, Naveed Akhtar, Ajmal Mian:
SegGCN: Efficient 3D Point Cloud Segmentation With Fuzzy Spherical Kernel. 11608-11617 - Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, Oscar Beijbom:
nuScenes: A Multimodal Dataset for Autonomous Driving. 11618-11628 - Yisheng He, Wei Sun, Haibin Huang, Jianran Liu, Haoqiang Fan, Jian Sun:
PVN3D: A Deep Point-Wise 3D Keypoints Voting Network for 6DoF Pose Estimation. 11629-11638 - Anne S. Wannenwetsch, Stefan Roth:
Probabilistic Pixel-Adaptive Refinement Networks. 11639-11648 - Suchen Wang, Kim-Hui Yap, Junsong Yuan, Yap-Peng Tan:
Discovering Human Interactions With Novel Objects via Zero-Shot Learning. 11649-11658 - Jingru Tan, Changbao Wang, Buyu Li, Quanquan Li, Wanli Ouyang, Changqing Yin, Junjie Yan:
Equalization Loss for Long-Tailed Object Recognition. 11659-11668 - Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, Ping Luo:
Learning Depth-Guided Convolutions for Monocular 3D Object Detection. 11669-11678 - Mario Bijelic, Tobias Gruber, Fahim Mannan, Florian Kraus, Werner Ritter, Klaus Dietmayer, Felix Heide:
Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather. 11679-11689 - Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama:
Don't Even Look Once: Synthesizing Features for Zero-Shot Detection. 11690-11699 - Tomás Hodan, Dániel Baráth, Jiri Matas:
EPOS: Estimating 6D Pose of Objects With Symmetries. 11700-11709 - Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao:
Train in Germany, Test in the USA: Making 3D Object Detectors Generalize. 11710-11720 - Chang-Dong Xu, Xing-Ran Zhao, Xin Jin, Xiu-Shen Wei:
Exploring Categorical Regularization for Domain Adaptive Object Detection. 11721-11730 - Kent Fujiwara, Taiichi Hashimoto:
Neural Implicit Embedding for Point Cloud Analysis. 11731-11740 - Shang Gao, Jingya Wang, Huchuan Lu, Zimo Liu:
Pose-Guided Visible Part Matching for Occluded Person ReID. 11741-11749 - Yuxin Wang, Hongtao Xie, Zheng-Jun Zha, Mengting Xing, Zilong Fu, Yongdong Zhang:
ContourNet: Taking a Further Step Toward Accurate Arbitrary-Shaped Scene Text Detection. 11750-11759 - Aditya Prakash, Aseem Behl, Eshed Ohn-Bar, Kashyap Chitta, Andreas Geiger:
Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving. 11760-11770 - Mohan Zhou, Yalong Bai, Wei Zhang, Tiejun Zhao, Tao Mei:
Look-Into-Object: Self-Supervised Structure Modeling for Object Recognition. 11771-11780 - Sainan Liu, Vincent Nguyen, Isaac Rehg, Zhuowen Tu:
Recognizing Objects From Any View With Object and Viewer-Centered Representations. 11781-11790 - Zongxin Yang, Linchao Zhu, Yu Wu, Yi Yang:
Gated Channel Transformation for Visual Recognition. 11791-11800 - Lu Chi, Zehuan Yuan, Yadong Mu, Changhu Wang:
Non-Local Neural Networks With Grouped Bilinear Attentional Transforms. 11801-11810 - Pramuditha Perera, Vlad I. Morariu, Rajiv Jain, Varun Manjunatha, Curtis Wigington, Vicente Ordonez, Vishal M. Patel:
Generative-Discriminative Feature Representations for Open-Set Recognition. 11811-11820 - Zi Jian Yew, Gim Hee Lee:
RPM-Net: Robust Point Matching Using Learned Features. 11821-11830 - Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean:
Sideways: Depth-Parallel Training of Video Models. 11831-11840 - Zhihao Xia, Federico Perazzi, Michaël Gharbi, Kalyan Sunkavalli, Ayan Chakrabarti:
Basis Prediction Networks for Effective Burst Denoising With Large Kernels. 11841-11850 - Yuqing Zhu, Xiang Yu, Manmohan Chandraker, Yu-Xiang Wang:
Private-kNN: Practical Differential Privacy for Computer Vision. 11851-11859 - Chenhan Jiang, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li:
SP-NAS: Serial-to-Parallel Backbone Search for Object Detection. 11860-11869 - Chenhang He, Hui Zeng, Jianqiang Huang, Xian-Sheng Hua, Lei Zhang:
Structure Aware Single-Stage 3D Object Detection From Point Cloud. 11870-11879 - Anwesan Pal, Sayan Mondal, Henrik I. Christensen:
"Looking at the Right Stuff" - Guided Semantic-Gaze for Autonomous Driving. 11880-11889 - Vivek Ramanujan, Mitchell Wortsman, Aniruddha Kembhavi, Ali Farhadi, Mohammad Rastegari:
What's Hidden in a Randomly Weighted Neural Network? 11890-11899 - Elad Eban, Yair Movshovitz-Attias, Hao Wu, Mark Sandler, Andrew Poon, Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán:
Structured Multi-Hashing for Model Compression. 11900-11909 - Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas A. Funkhouser, Caroline Pantofaru, David A. Ross, Larry S. Davis, Alireza Fathi:
DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes. 11910-11919 - Yiming Li, Changhong Fu, Fangqiang Ding, Ziyuan Huang, Geng Lu:
AutoTrack: Towards High-Performance Visual Tracking for UAV With Automatic Spatio-Temporal Regularization. 11920-11929 - Zhihang Li, Teng Xi, Jiankang Deng, Gang Zhang, Shengzhao Wen, Ran He:
GP-NAS: Gaussian Process Based Neural Architecture Search. 11930-11939 - Ning Wang, Yang Gao, Hao Chen, Peng Wang, Zhi Tian, Chunhua Shen, Yanning Zhang:
NAS-FCOS: Fast Neural Architecture Search for Object Detection. 11940-11948 - Cheng Wang, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen:
TCTS: A Task-Consistent Two-Stage Framework for Person Search. 11949-11958 - Ron Litman, Oron Anschel, Shahar Tsiper, Roee Litman, Shai Mazor, R. Manmatha:
SCATTER: Selective Context Attentional Scene Text Recognizer. 11959-11969 - Dengsheng Chen, Jun Li, Zheng Wang, Kai Xu:
Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation. 11970-11979 - Xiaotian Li, Shuzhe Wang, Yi Zhao, Jakob Verbeek, Juho Kannala:
Hierarchical Scene Coordinate Classification and Regression for Visual Localization. 11980-11989 - Chaoyang He, Haishan Ye, Li Shen, Tong Zhang:
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation. 11990-11999 - Eduardo D. C. Carvalho, Ronald Clark, Andrea Nicastro, Paul H. J. Kelly:
Scalable Uncertainty for Computer Vision With Functional Variational Inference. 12000-12010 - Abdelrahman Eldesokey, Michael Felsberg, Karl Holmquist, Michael Persson:
Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End. 12011-12020 - Keivan Alizadeh-Vahid, Anish Prabhu, Ali Farhadi, Mohammad Rastegari:
Butterfly Transform: An Efficient FFT Based Neural Architecture Design. 12021-12030 - Ji Zhao, Wanting Xu, Laurent Kneip:
A Certifiably Globally Optimal Solution to Generalized Essential Matrix Estimation. 12031-12040 - Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti:
MUXConv: Information Multiplexing in Convolutional Neural Networks. 12041-12050 - Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
PointGMM: A Neural GMM Network for Point Clouds. 12051-12060 - Nick Moran, Dan Schmidt, Yu Zhong, Patrick Coady:
Noisier2Noise: Learning to Denoise From Unpaired Noisy Data. 12061-12069 - Ricardo Fabbri, Timothy Duff, Hongyi Fan, Margaret H. Regan, David da Costa de Pinho, Elias P. Tsigaridas, Charles W. Wampler, Jonathan D. Hauenstein, Peter J. Giblin, Benjamin B. Kimia, Anton Leykin, Tomás Pajdla:
TRPLP - Trifocal Relative Pose From Lines at Points. 12070-12080 - Shoukang Hu, Sirui Xie, Hehui Zheng, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin:
DSNAS: Direct Neural Architecture Search Without Parameter Retraining. 12081-12089 - Yongjian Chen, Lei Tai, Kai Sun, Mingyang Li:
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships. 12090-12099 - Jinhyung Kim, Seunghwan Cha, Dongyoon Wee, Soonmin Bae, Junmo Kim:
Regularization on Spatio-Temporally Smoothed Feature for Action Recognition. 12100-12109 - Deli Yu, Xuan Li, Chengquan Zhang, Tao Liu, Junyu Han, Jingtuo Liu, Errui Ding:
Towards Accurate Scene Text Recognition With Semantic Reasoning Networks. 12110-12119 - Juncheng Li, Xin Wang, Siliang Tang, Haizhou Shi, Fei Wu, Yueting Zhuang, William Yang Wang:
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation. 12120-12129 - Avishek Siris, Jianbo Jiao, Gary K. L. Tam, Xianghua Xie, Rynson W. H. Lau:
Inferring Attention Shift Ranks of Objects for Image Saliency. 12130-12140 - Sk Miraj Ahmed, Aske R. Lejbølle, Rameswar Panda, Amit K. Roy-Chowdhury:
Camera On-Boarding for Person Re-Identification Using Hypothesis Transfer Learning. 12141-12150 - Mattia Rossi, Mireille El Gheche, Andreas Kuhn, Pascal Frossard:
Joint Graph-Based Depth Refinement and Normal Estimation. 12151-12160 - Qi Qian, Lei Chen, Hao Li, Rong Jin:
DR Loss: Improving Object Detection by Distributional Ranking. 12161-12169 - Guansong Pang, Cheng Yan, Chunhua Shen, Anton van den Hengel, Xiao Bai:
Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection. 12170-12179
Oral 3-3A: Recognition (Detection, Categorization) (3); Segmentation, Grouping and Shape (2)
- Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, Songlin Dong, Xing Wei, Yihong Gong:
Few-Shot Class-Incremental Learning. 12180-12189 - Enze Xie, Peize Sun, Xiaoge Song, Wenhai Wang, Xuebo Liu, Ding Liang, Chunhua Shen, Ping Luo:
PolarMask: Single Shot Instance Segmentation With Polar Representation. 12190-12199 - Chi Zhang, Yujun Cai, Guosheng Lin, Chunhua Shen:
DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers. 12200-12210 - Xuangeng Chu, Anlin Zheng, Xiangyu Zhang, Jian Sun:
Detection in Crowded Scenes: One Proposal, Multiple Predictions. 12211-12220 - Sergey Zakharov, Wadim Kehl, Arjun Bhargava, Adrien Gaidon:
Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors. 12221-12230 - Shiyin Zhang, Jun Hao Liew, Yunchao Wei, Shikui Wei, Yao Zhao:
Interactive Object Segmentation With Inside-Outside Guidance. 12231-12241 - Yaoyao Liu, Yuting Su, An-An Liu, Bernt Schiele, Qianru Sun:
Mnemonics Training: Multi-Class Incremental Learning Without Forgetting. 12242-12251 - Yecheng Lyu, Xinming Huang, Ziming Zhang:
Learning to Segment 3D Point Clouds in 2D Image Space. 12252-12261 - Marvin Eisenberger, Zorah Lähner, Daniel Cremers:
Smooth Shells: Multi-Scale Shape Registration With Functional Maps. 12262-12271 - Yude Wang, Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen:
Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation. 12272-12281
Oral 3-3B: Vision Applications and Systems; Vision & Other Modalities; Visual Reasoning and Logical Representation
- Pedram Pad, Simon Narduzzi, Clément Kündig, Engin Türetken, Siavash Arjomand Bigdeli, L. Andrea Dunbar:
Efficient Neural Vision Systems Based on Convolutional Image Acquisition. 12282-12291 - Zhiqiu Lin, Jin Sun, Abe Davis, Noah Snavely:
Visual Chirality. 12292-12300 - Xing Xu, Jiefu Chen, Jinhui Xiao, Lianli Gao, Fumin Shen, Heng Tao Shen:
What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images. 12301-12311 - Scott Workman, Nathan Jacobs:
Dynamic Traffic Modeling From Overhead Imagery. 12312-12321 - Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata:
Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention. 12322-12331 - Xi Zhang, Xiaolin Wu, Xinliang Zhai, Xianye Ben, Chengjie Tu:
DAVD-Net: Deep Audio-Aided Video Decompression of Talking Heads. 12332-12341 - Burak Uzkent, Stefano Ermon:
Learning When and Where to Zoom With Deep Reinforcement Learning. 12342-12351
Oral 3-3C: Transfer/Low-Shot/Semi/Unsupervised Learning (3)
- Minghao Xu, Hang Wang, Bingbing Ni, Qi Tian, Wenjun Zhang:
Cross-Domain Detection via Graph-Induced Prototype Alignment. 12352-12361 - Thomas Elsken, Benedikt Staffler, Jan Hendrik Metzen, Frank Hutter:
Meta-Learning of Neural Architectures for Few-Shot Learning. 12362-12372 - Jogendra Nath Kundu, Naveen Venkat, Ambareesh Revanur, Rahul M. V., R. Venkatesh Babu:
Towards Inheritable Models for Open-Set Domain Adaptation. 12373-12382 - Jiteng Mu, Weichao Qiu, Gregory D. Hager, Alan L. Yuille:
Learning From Synthetic Animals. 12383-12392 - Han-Jia Ye, Su Lu, De-Chuan Zhan:
Distilling Cross-Task Knowledge via Relationship Matching. 12393-12402 - Ziwei Liu, Zhongqi Miao, Xingang Pan, Xiaohang Zhan, Dahua Lin, Stella X. Yu, Boqing Gong:
Open Compound Domain Adaptation. 12403-12412
Poster 3-3P
- Changqian Yu, Jingbo Wang, Changxin Gao, Gang Yu, Chunhua Shen, Nong Sang:
Context Prior for Scene Segmentation. 12413-12422 - Marc Eder, Mykhailo Shvets, John Lim, Jan-Michael Frahm:
Tangent Images for Mitigating Spherical Distortion. 12423-12431 - Tawfiq Salem, Scott Workman, Nathan Jacobs:
Learning a Dynamic Map of Visual Appearance. 12432-12441 - Wenbo Zheng, Lan Yan, Chao Gou, Fei-Yue Wang:
Webly Supervised Knowledge Embedding Model for Visual Reasoning. 12442-12451 - Shuhao Cui, Shuhui Wang, Junbao Zhuo, Chi Su, Qingming Huang, Qi Tian:
Gradually Vanishing Bridge for Adversarial Domain Adaptation. 12452-12461 - Juan León Alcázar, Fabian Caba, Long Mai, Federico Perazzi, Joon-Young Lee, Pablo Arbeláez, Bernard Ghanem:
Active Speakers in Context. 12462-12471 - Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen:
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation. 12472-12482 - Yuenan Hou, Zheng Ma, Chunxiao Liu, Tak-Wai Hui, Chen Change Loy:
Inter-Region Affinity Distillation for Road Marking Segmentation. 12483-12492 - Yu-Syuan Xu, Shou-Yao Roy Tseng, Yu Tseng, Hsien-Kai Kuo, Yi-Min Tsai:
Unified Dynamic Convolutional Network for Super-Resolution With Variational Degradations. 12493-12502 - Luca Bertinetto, Romain Müller, Konstantinos Tertikas, Sina Samangooei, Nicholas A. Lord:
Making Better Mistakes: Leveraging Class Hierarchies With Deep Networks. 12503-12512 - Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song:
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN. 12513-12522 - Kunpeng Li, Chen Fang, Zhaowen Wang, Seokhwan Kim, Hailin Jin, Yun Fu:
Screencast Tutorial Video Understanding. 12523-12532 - Yilun Chen, Shu Liu, Xiaoyong Shen, Jiaya Jia:
DSGN: Deep Stereo Geometry Network for 3D Object Detection. 12533-12542 - Jing Zhang, Xin Yu, Aixuan Li, Peipei Song, Bowen Liu, Yuchao Dai:
Weakly-Supervised Salient Object Detection via Scribble Annotations. 12543-12552 - Fengchun Qiao, Long Zhao, Xi Peng:
Learning to Learn Single Domain Generalization. 12553-12562 - Xiaofeng Liu, Wenxuan Ji, Jane You, Georges El Fakhri, Jonghye Woo:
Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training. 12563-12572 - Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang:
Boosting Few-Shot Learning With Adaptive Margin Loss. 12573-12581 - Irit Chelly, Vlad Winter, Dor Litvak, David Rosen, Oren Freifeld:
JA-POLS: A Moving-Camera Background Model via Joint Alignment and Partially-Overlapping Local Subspaces. 12582-12591 - Chaoxu Guo, Bin Fan, Qian Zhang, Shiming Xiang, Chunhong Pan:
AugFPN: Improving Multi-Scale Feature Learning for Object Detection. 12592-12601 - Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, Patrick Pérez:
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation. 12602-12611 - Di Chen, Shanshan Zhang, Jian Yang, Bernt Schiele:
Norm-Aware Embedding for Efficient Person Search. 12612-12621 - Qi Chen, Qi Wu, Rui Tang, Yuhan Wang, Shuai Wang, Mingkui Tan:
Intelligent Home 3D: Automatic 3D-House Design From Linguistic Descriptions Only. 12622-12631 - Zhonghao Wang, Mo Yu, Yunchao Wei, Rogério Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi:
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation. 12632-12641 - Angtian Wang, Yihong Sun, Adam Kortylewski, Alan L. Yuille:
Robust Object Detection Under Occlusion With Context-Aware CompositionalNets. 12642-12651 - Hui Chen, Guiguang Ding, Xudong Liu, Zijia Lin, Ji Liu, Jungong Han:
IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval. 12652-12660 - Shaobo Min, Hantao Yao, Hongtao Xie, Chaoqun Wang, Zheng-Jun Zha, Yongdong Zhang:
Domain-Aware Visual Bias Eliminating for Generalized Zero-Shot Learning. 12661-12670 - Yassine Ouali, Céline Hudelot, Myriam Tami:
Semi-Supervised Semantic Segmentation With Cross-Consistency Training. 12671-12681 - Debang Li, Junge Zhang, Kaiqi Huang:
Learning to Learn Cropping Models for Different Aspect Ratio Requirements. 12682-12691 - Weiyao Wang, Du Tran, Matt Feiszli:
What Makes Training Multi-Modal Classification Networks Hard? 12692-12702 - Zhihong Chen, Chao Chen, Zhaowei Cheng, Boyuan Jiang, Ke Fang, Xinyu Jin:
Selective Transfer With Reinforced Transfer Network for Partial Domain Adaptation. 12703-12711 - Mostafa S. Ibrahim, Arash Vahdat, Mani Ranjbar, William G. Macready:
Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks. 12712-12722 - Ruimao Zhang, Zhanglin Peng, Lingyun Wu, Zhen Li, Ping Luo:
Exemplar Normalization for Learning Deep Representation. 12723-12732 - Mengshi Qi, Jie Qin, Yu Wu, Yi Yang:
Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation. 12733-12742 - Difei Gao, Ke Li, Ruiping Wang, Shiguang Shan, Xilin Chen:
Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text. 12743-12753 - Rui Liu, Chengxi Yang, Wenxiu Sun, Xiaogang Wang, Hongsheng Li:
StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching. 12754-12763 - Jiamin Wu, Tianzhu Zhang, Zheng-Jun Zha, Jiebo Luo, Yongdong Zhang, Feng Wu:
Self-Supervised Domain-Aware Generative Network for Generalized Zero-Shot Learning. 12764-12773 - Niels Jeppesen, Anders Nymark Christensen, Vedrana Andersen Dahl, Anders B. Dahl:
Sparse Layered Graphs for Multi-Object Segmentation. 12774-12782 - Yongzhi Li, Duo Zhang, Yadong Mu:
Visual-Semantic Matching by Exploring High-Order Attention and Distraction. 12783-12792 - Haiyong Jiang, Feilong Yan, Jianfei Cai, Jianmin Zheng, Jun Xiao:
End-to-End 3D Point Cloud Instance Segmentation Without Detection. 12793-12802 - Zhengxia Zou, Sen Lei, Tianyang Shi, Zhenwei Shi, Jieping Ye:
Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images. 12803-12813 - Cristóbal Eyzaguirre, Álvaro Soto:
Differentiable Adaptive Computation Time for Visual Reasoning. 12814-12822 - Sean Moran, Pierre Marza, Steven McDonagh, Sarah Parisot, Gregory G. Slabaugh:
DeepLPF: Deep Local Parametric Filters for Image Enhancement. 12823-12832 - Yikai Wang, Chengming Xu, Chen Liu, Li Zhang, Yanwei Fu:
Instance Credibility Inference for Few-Shot Learning. 12833-12842 - Yi Tu, Li Niu, Junjie Chen, Dawei Cheng, Liqing Zhang:
Learning From Web Data With Self-Organizing Memory Module. 12843-12852 - Zhongjie Yu, Lin Chen, Zhongwei Cheng, Jiebo Luo:
TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning. 12853-12861 - Zongyan Han, Zhenyong Fu, Jian Yang:
Learning the Redundancy-Free Features for Generalized Zero-Shot Object Recognition. 12862-12871 - Devendra Singh Chaplot, Ruslan Salakhutdinov, Abhinav Gupta, Saurabh Gupta:
Neural Topological SLAM for Visual Navigation. 12872-12881 - Menglong Yang, Fangrui Wu, Wei Li:
WaveletStereo: Learning Wavelet Coefficients of Disparity Map in Stereo Matching. 12882-12891 - Xiaoyi Dong, Jiangfan Han, Dongdong Chen, Jiayang Liu, Huanyu Bian, Zehua Ma, Hongsheng Li, Xiaogang Wang, Weiming Zhang, Nenghai Yu:
Robust Superpixel-Guided Attentional Adversarial Attack. 12892-12901 - Yun-Hsuan Lin, Wen-Chin Chen, Yung-Yu Chuang:
BEDSR-Net: A Deep Shadow Removal Network From a Single Document Image. 12902-12911 - Kai Li, Curtis Wigington, Chris Tensmeyer, Handong Zhao, Nikolaos Barmpalios, Vlad I. Morariu, Varun Manjunatha, Tong Sun, Yun Fu:
Cross-Domain Document Object Detection: Benchmark Suite and Method. 12912-12921 - Xu Cheng, Zhefan Rao, Yilan Chen, Quanshi Zhang:
Explaining Knowledge Distillation by Quantifying the Knowledge. 12922-12932 - Zhonghua Wu, Qingyi Tao, Guosheng Lin, Jianfei Cai:
Exploring Bottom-Up and Top-Down Cues With Attentive Learning for Webly Supervised Object Detection. 12933-12942 - Or Isaacs, Oran Shayer, Michael Lindenbaum:
Enhancing Generic Segmentation With Learned Region Representations. 12943-12952 - Ehsan Nezhadarya, Ehsan Taghavi, Ryan Razani, Bingbing Liu, Jun Luo:
Adaptive Hierarchical Down-Sampling for Point Cloud Classification. 12953-12961 - Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian, Saining Xie, Bichen Wu, Matthew Yu, Tao Xu, Kan Chen, Peter Vajda, Joseph E. Gonzalez:
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions. 12962-12971 - Myeongjin Kim, Hyeran Byun:
Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation. 12972-12981 - Mengmi Zhang, Claire Tseng, Gabriel Kreiman:
Putting Visual Object Recognition in Context. 12982-12991 - Ze Chen, Zhihang Fu, Rongxin Jiang, Yaowu Chen, Xian-Sheng Hua:
SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection. 12992-13001 - Jiwei Wei, Xing Xu, Yang Yang, Yanli Ji, Zheng Wang, Heng Tao Shen:
Universal Weighting Metric Learning for Cross-Modal Matching. 13002-13011 - Wanli Peng, Hao Pan, He Liu, Yi Sun:
IDA-3D: Instance-Depth-Aware 3D Object Detection From Stereo Vision for Autonomous Driving. 13012-13021 - Jun Wei, Shuhui Wang, Zhe Wu, Chi Su, Qingming Huang, Qi Tian:
Label Decoupling Framework for Salient Object Detection. 13022-13031 - Alasdair Tran, Alexander Patrick Mathews, Lexing Xie:
Transform and Tell: Entity-Aware News Image Captioning. 13032-13042 - Yang Liu, Xu Tang, Junyu Han, Jingtuo Liu, Dinger Rui, Xiang Wu:
HAMBox: Delving Into Mining High-Quality Anchors on Face Detection. 13043-13051 - Jie Yang, Jiarou Fan, Yiru Wang, Yige Wang, Weihao Gan, Lin Liu, Wei Wu:
Hierarchical Feature Embedding for Attribute Recognition. 13052-13061 - Zilong Zhong, Zhong Qiu Lin, Rene Bidart, Xiaodan Hu, Ibrahim Ben Daya, Zhifeng Li, Wei-Shi Zheng, Jonathan Li, Alexander Wong:
Squeeze-and-Attention Networks for Semantic Segmentation. 13062-13071 - Sara Beery, Guanhang Wu, Vivek Rathod, Ronny Votel, Jonathan Huang:
Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection. 13072-13082 - Ali Varamesh, Tinne Tuytelaars:
Mixture Dense Regression for Object Detection and Human Pose Estimation. 13083-13092 - Qi Zheng, Chaoyue Wang, Dacheng Tao:
Syntax-Aware Action Targeting for Video Captioning. 13093-13102 - Zijun Wei, Jianming Zhang, Zhe Lin, Joon-Young Lee, Niranjan Balasubramanian, Minh Hoai, Dimitris Samaras:
Learning Visual Emotion Representations From Web Data. 13103-13112 - Shengjie Zhu, Garrick Brazil, Xiaoming Liu:
The Edge of Depth: Explicit Constraints Between Segmentation and Depth. 13113-13122 - Anthony Cioppa, Adrien Deliège, Silvio Giancola, Bernard Ghanem, Marc Van Droogenbroeck, Rikke Gade, Thomas B. Moeslund:
A Context-Aware Loss Function for Action Spotting in Soccer Videos. 13123-13133 - Weituo Hao, Chunyuan Li, Xiujun Li, Lawrence Carin, Jianfeng Gao:
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training. 13134-13143 - Chung-Ching Lin, Ying Hung, Rogério Feris, Linglin He:
Video Instance Segmentation Tracking With a Modified VAE Architecture. 13144-13154 - Siyuan Li, Semih Günel, Mirela Ostrek, Pavan Ramdya, Pascal Fua, Helge Rhodin:
Deformation-Aware Unpaired Image Translation for Pose Estimation on Laboratory Animals. 13155-13165 - Yaohui Cai, Zhewei Yao, Zhen Dong, Amir Gholami, Michael W. Mahoney, Kurt Keutzer:
ZeroQ: A Novel Zero Shot Quantization Framework. 13166-13175 - Bo Yan, Chenxi Ma, Bahetiyaer Bare, Weimin Tan, Steven C. H. Hoi:
Disparity-Aware Domain Adaptation in Stereo Image Restoration. 13176-13184 - Heqian Qiu, Hongliang Li, Qingbo Wu, Hengcan Shi:
Offset Bin Classification Network for Accurate Object Detection. 13185-13194 - Adnan Siraj Rakin, Zhezhi He, Deliang Fan:
TBT: Targeted Neural Network Attack With Bit Trojan. 13195-13204 - Bowen Zhao, Xi Xiao, Guojun Gan, Bin Zhang, Shu-Tao Xia:
Maintaining Discrimination and Fairness in Class Incremental Learning. 13205-13214 - Yi Li, Nuno Vasconcelos:
Background Data Resampling for Outlier-Aware Classification. 13215-13224 - Prasun Roy, Saumik Bhattacharya, Subhankar Ghosh, Umapada Pal:
STEFANN: Scene Text Editor Using Font Adaptive Neural Network. 13225-13234 - Haoran Zhou, Honghua Chen, Yidan Feng, Qiong Wang, Jing Qin, Haoran Xie, Fu Lee Wang, Mingqiang Wei, Jun Wang:
Geometry and Learning Co-Supported Normal Estimation for Unstructured Point Cloud. 13235-13244 - Elias N. Zois, Evangelos Zervas, Dimitrios Tsourounis, George Economou:
Sequential Motif Profiles and Topological Plots for Offline Signature Verification. 13245-13255 - Wending Yan, Aashish Sharma, Robby T. Tan:
Optical Flow in Dense Foggy Scenes Using Semi-Supervised Learning. 13256-13265 - Chaoyi Lin, Jiabao Yao, Fangdong Chen, Li Wang:
A Spatial RNN Codec for End-to-End Image Compression. 13266-13274 - Ziqi Zhang, Yaya Shi, Chunfeng Yuan, Bing Li, Peijin Wang, Weiming Hu, Zheng-Jun Zha:
Object Relational Graph With Teacher-Recommended Learning for Video Captioning. 13275-13285 - Hamid Reza Vaezi Joze, Amirreza Shaban, Michael L. Iuzzolino, Kazuhito Koishida:
MMTM: Multimodal Transfer Module for CNN Fusion. 13286-13296 - Rohit Keshari, Richa Singh, Mayank Vatsa:
Generalized Zero-Shot Learning via Over-Complete Distribution. 13297-13305 - Xiang Li, Yasushi Makihara, Chi Xu, Yasushi Yagi, Mingwu Ren:
Gait Recognition via Semi-supervised Disentangled Representation Learning to Identity and Covariate Features. 13306-13316
Poster 3-4P
- Qizhu Li, Xiaojuan Qi, Philip H. S. Torr:
Unifying Training and Inference for Panoptic Segmentation. 13317-13325 - Liang Du, Xiaoqing Ye, Xiao Tan, Jianfeng Feng, Zhenbo Xu, Errui Ding, Shilei Wen:
Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection. 13326-13335 - Zheng Lin, Zhao Zhang, Lin-Zhuo Chen, Ming-Ming Cheng, Shao-Ping Lu:
Interactive Image Segmentation With First Click Attention. 13336-13345 - Yazhao Li, Yanwei Pang, Jianbing Shen, Jiale Cao, Ling Shao:
NETNet: Neighbor Erasing and Transferring Network for Better Single Shot Object Detection. 13346-13355 - Xinjiang Wang, Shilong Zhang, Zhuoran Yu, Litong Feng, Wayne Zhang:
Scale-Equalizing Pyramid Convolution for Object Detection. 13356-13365 - Lei Yang, Dapeng Chen, Xiaohang Zhan, Rui Zhao, Chen Change Loy, Dahua Lin:
Learning to Cluster Faces via Confidence and Connectivity Estimation. 13366-13375 - Yan Lu, Yue Wu, Bin Liu, Tianzhu Zhang, Baopu Li, Qi Chu, Nenghai Yu:
Cross-Modality Person Re-Identification With Shared-Specific Feature Transfer. 13376-13386 - Ling Yang, Liangliang Li, Zilun Zhang, Xinyu Zhou, Erjin Zhou, Yu Liu:
DPGN: Distribution Propagation Graph Network for Few-Shot Learning. 13387-13396 - Suichan Li, Bin Liu, Dongdong Chen, Qi Chu, Lu Yuan, Nenghai Yu:
Density-Aware Graph for Deep Semi-Supervised Visual Recognition. 13397-13406 - Moab Arar, Yiftach Ginger, Dov Danon, Amit H. Bermano, Daniel Cohen-Or:
Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation. 13407-13416 - Hai Phan, Zechun Liu, Dang Huynh, Marios Savvides, Kwang-Ting Cheng, Zhiqiang Shen:
Binarizing MobileNet via Evolution-Based Searching. 13417-13426 - Jialian Wu, Chunluan Zhou, Ming Yang, Qian Zhang, Yuan Li, Junsong Yuan:
Temporal-Context Enhanced Detection of Heavily Occluded Pedestrians. 13427-13436 - Vacit Oguz Yazici, Abel Gonzalez-Garcia, Arnau Ramisa, Bartlomiej Twardowski, Joost van de Weijer:
Orderless Recurrent Models for Multi-Label Classification. 13437-13446 - Ehsan Abbasnejad, Iman Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel:
Gold Seeker: Information Gain From Policy Distributions for Goal-Oriented Vision-and-Langauge Reasoning. 13447-13456 - Chen-Lin Zhang, Yun-Hao Cao, Jianxin Wu:
Rethinking the Route Towards Weakly Supervised Object Localization. 13457-13466 - Kai Li, Yulun Zhang, Kunpeng Li, Yun Fu:
Adversarial Feature Hallucination Networks for Few-Shot Learning. 13467-13476 - Xin Sun, Zhenning Yang, Chi Zhang, Keck Voon Ling, Guohao Peng:
Conditional Gaussian Distribution Learning for Open Set Recognition. 13477-13486 - Hao Fang, Florent Lafarge:
Connect-and-Slice: An Hybrid Approach for Reconstructing 3D Objects. 13487-13495 - Yiluan Guo, Ngai-Man Cheung:
Attentive Weights Generation for Few Shot Learning via Information Maximization. 13496-13505 - Bo Yan, Qing Lin, Weimin Tan, Shili Zhou:
Assessing Eye Aesthetics for Automatic Multi-Reference Eye In-Painting. 13506-13514 - Zhuo Chen, Chaoyue Wang, Bo Yuan, Dacheng Tao:
PuppeteerGAN: Arbitrary Portrait Animation With Semantic-Aware Appearance Transformation. 13515-13524 - Zhi Qiao, Yu Zhou, Dongbao Yang, Yucan Zhou, Weiping Wang:
SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition. 13525-13534 - Yuwei Zhang, Peng Zhang, Chun Yuan, Zhi Wang:
Texture and Shape Biased Two-Stream Networks for Clothing Classification and Attribute Recognition. 13535-13544 - Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, Peyman Milanfar:
Distortion Agnostic Deep Watermarking. 13545-13554 - Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy:
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network. 13555-13564 - Yang Liu, Xu Tang:
BFBox: Searching Face-Appropriate Backbone and Feature Pyramid Network for Face Detector. 13565-13574 - Yuqi Yang, Shilin Liu, Hao Pan, Yang Liu, Xin Tong:
PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames. 13575-13584 - Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
iTAML: An Incremental Task-Agnostic Meta-learning Approach. 13585-13594 - Amit Dekel, Linus Härenstam-Nielsen, Sergio Caccamo:
Optimal least-squares solution to the hand-eye calibration problem. 13595-13603 - Bo Chen, Golnaz Ghiasi, Hanxiao Liu, Tsung-Yi Lin, Dmitry Kalenichenko, Hartwig Adam, Quoc V. Le:
MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices. 13604-13613 - Oytun Ulutan, A. S. M. Iftekhar, B. S. Manjunath:
VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions. 13614-13623 - Long Sha, Jennifer A. Hobbs, Panna Felsen, Xinyu Wei, Patrick Lucey, Sujoy Ganguly:
End-to-End Camera Calibration for Broadcast Videos. 13624-13633 - Yang Zhong, Atsuto Maki:
Regularizing CNN Transfer Learning With Randomised Regression. 13634-13643 - Yang You, Yujing Lou, Chengkun Li, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Cewu Lu, Weiming Wang:
KeypointNet: A Large-Scale 3D Keypoint Dataset Aggregated From Numerous Human Annotations. 13644-13653 - Kaiwei Zeng, Munan Ning, Yaohua Wang, Yang Guo:
Hierarchical Clustering With Hard-Batch Triplet Loss for Person Re-Identification. 13654-13662 - Mingmin Zhen, Jinglu Wang, Lei Zhou, Shiwei Li, Tianwei Shen, Jiaxiang Shang, Tian Fang, Long Quan:
Joint Semantic Segmentation and Boundary Detection Using Iterative Pyramid Contexts. 13663-13672 - Yu Qiao, Yuhao Liu, Xin Yang, Dongsheng Zhou, Mingliang Xu, Qiang Zhang, Xiaopeng Wei:
Attention-Guided Hierarchical Structure Aggregation for Image Matting. 13673-13682 - Rongchang Xie, Chunyu Wang, Yizhou Wang:
MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation. 13683-13692 - Avisek Lahiri, Arnav Kumar Jain, Sanskar Agrawal, Pabitra Mitra, Prabir Kumar Biswas:
Prior Guided GAN Based Semantic Inpainting. 13693-13702 - Xun Xu, Gim Hee Lee:
Weakly Supervised Semantic Point Cloud Segmentation: Towards 10× Fewer Labels. 13703-13712 - James Tu, Mengye Ren, Sivabalan Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun:
Physically Realizable Adversarial Examples for LiDAR Object Detection. 13713-13722 - Hongxin Wei, Lei Feng, Xiangyu Chen, Bo An:
Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization. 13723-13732 - Shaokai Ye, Kailu Wu, Mu Zhou, Yunfei Yang, Sia Huat Tan, Kaidi Xu, Jiebo Song, Chenglong Bao, Kaisheng Ma:
Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation. 13733-13742 - Canjie Luo, Yuanzhi Zhu, Lianwen Jin, Yongpan Wang:
Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition. 13743-13752 - Nian Liu, Ni Zhang, Junwei Han:
Learning Selective Self-Mutual Attention for RGB-D Saliency Detection. 13753-13762 - Yangtao Zheng, Di Huang, Songtao Liu, Yunhong Wang:
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation. 13763-13772 - Gabriela Csurka, Zoltan Kato, Andor Juhasz, Martin Humenberger:
Estimating Low-Rank Region Likelihood Maps. 13773-13782 - Egor Burkov, Igor Pasechnik, Artur Grigorev, Victor S. Lempitsky:
Neural Head Reenactment with Latent Pose Descriptors. 13783-13792 - K. R. Prajwal, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis. 13793-13802 - Michael Tschannen, Josip Djolonga, Marvin Ritter, Aravindh Mahendran, Neil Houlsby, Sylvain Gelly, Mario Lucic:
Self-Supervised Learning of Video-Induced Visual Invariances. 13803-13812 - Jan Svoboda, Asha Anoosheh, Christian Osendorfer, Jonathan Masci:
Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer. 13813-13822 - Florian Bernard, Zeeshan Khan Suri, Christian Theobalt:
MINA: Convex Mixed-Integer Programming for Non-Rigid Shape Alignment. 13823-13832 - Xiang Li, Chen Lin, Chuming Li, Ming Sun, Wei Wu, Junjie Yan, Wanli Ouyang:
Improving One-Shot NAS by Suppressing the Posterior Fading. 13833-13842 - Juan-Manuel Pérez-Rúa, Xiatian Zhu, Timothy M. Hospedales, Tao Xiang:
Incremental Few-Shot Object Detection. 13843-13852 - Qi Chang, Hui Qu, Yikai Zhang, Mert R. Sabuncu, Chao Chen, Tong Zhang, Dimitris N. Metaxas:
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data. 13853-13863 - Yingwei Pan, Ting Yao, Yehao Li, Chong-Wah Ngo, Tao Mei:
Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation. 13864-13872 - Sukmin Yun, Jongjin Park, Kimin Lee, Jinwoo Shin:
Regularizing Class-Wise Predictions via Self-Knowledge Distillation. 13873-13882 - Li Mi, Zhenzhong Chen:
Hierarchical Graph Attention Network for Visual Relationship Detection. 13883-13892 - Jaehyung Kim, Jongheon Jeong, Jinwoo Shin:
M2m: Imbalanced Classification via Major-to-Minor Translation. 13893-13902 - Youngwan Lee, Jongyoul Park:
CenterMask: Real-Time Anchor-Free Instance Segmentation. 13903-13912 - Martin Sundermeyer, Maximilian Durner, En Yen Puang, Zoltan-Csaba Marton, Narunas Vaskevicius, Kai O. Arras, Rudolph Triebel:
Multi-Path Learning for Object Pose Estimation Across Domains. 13913-13922 - Jiangpeng He, Runyu Mao, Zeman Shao, Fengqing Zhu:
Incremental Learning in Online Scenario. 13923-13932 - Mengxue Li, Yiming Zhai, You-Wei Luo, Pengfei Ge, Chuan-Xian Ren:
Enhanced Transport Distance for Unsupervised Domain Adaptation. 13933-13941 - Francesca Babiloni, Ioannis Marras, Gregory G. Slabaugh, Stefanos Zafeiriou:
TESA: Tensor Element Self-Attention via Matricization. 13942-13951 - Donghang Li, Adrian Barbu:
Training a Steerable CNN for Guidewire Detection. 13952-13960 - Fengting Yang, Qian Sun, Hailin Jin, Zihan Zhou:
Superpixel Segmentation With Fully Convolutional Networks. 13961-13970 - Koutilya PNVR, Hao Zhou, David Jacobs:
SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation. 13971-13980 - Shikai Chen, Jianfeng Wang, Yuedong Chen, Zhongchao Shi, Xin Geng, Yong Rui:
Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition. 13981-13990 - Ev Zisselman, Aviv Tamar:
Deep Residual Flow for Out of Distribution Detection. 13991-14000 - Shurui Gui, Chaoyue Wang, Qihua Chen, Dacheng Tao:
FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation. 14001-14010 - Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad:
Learning Nanoscale Motion Patterns of Vesicles in Living Cells. 14011-14020 - Yifei Huang, Yusuke Sugano, Yoichi Sato:
Improving Action Segmentation via Graph-Based Temporal Reasoning. 14021-14031 - Yunlong Yu, Zhong Ji, Jungong Han, Zhongfei Zhang:
Episode-Based Prototype Generating Network for Zero-Shot Learning. 14032-14041 - Xinting Hu, Yi Jiang, Kaihua Tang, Jingyuan Chen, Chunyan Miao, Hanwang Zhang:
Learning to Segment the Tail. 14042-14051 - Jonah Philion, Amlan Kar, Sanja Fidler:
Learning to Evaluate Perception Models Using Planner-Centric Metrics. 14052-14061 - Tung Phan-Minh, Elena Corina Grigore, Freddy A. Boulton, Oscar Beijbom, Eric M. Wolff:
CoverNet: Multimodal Behavior Prediction Using Trajectory Sets. 14062-14071 - Yukun Huang, Zheng-Jun Zha, Xueyang Fu, Richang Hong, Liang Li:
Real-World Person Re-Identification via Degradation Invariance Learning. 14072-14082 - Zhezhi He, Adnan Siraj Rakin, Jingtao Li, Chaitali Chakrabarti, Deliang Fan:
Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack. 14083-14091 - Stanislav Pidhorskyi, Donald A. Adjeroh, Gianfranco Doretto:
Adversarial Latent Autoencoders. 14092-14101 - Qiuyu Chen, Wei Zhang, Ning Zhou, Peng Lei, Yi Xu, Yu Zheng, Jianping Fan:
Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment. 14102-14111 - Xinyue Wang, Yilin Lyu, Liping Jing:
Deep Generative Model for Robust Imbalance Classification. 14112-14121 - Wanqing Zhao, Shaobo Zhang, Ziyu Guan, Wei Zhao, Jinye Peng, Jianping Fan:
Learning Deep Network for Detecting 3D Object Keypoints and 6D Poses. 14122-14130 - Hancheng Zhu, Leida Li, Jinjian Wu, Weisheng Dong, Guangming Shi:
MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment. 14131-14140 - Leo Sampaio Ferraz Ribeiro, Tu Bui, John P. Collomosse, Moacir Ponti:
Sketchformer: Transformer-Based Representation for Sketched Structure. 14141-14150 - Sunghun Joung, Seungryong Kim, Hanjae Kim, Minsu Kim, Ig-Jae Kim, Junghyun Cho, Kwanghoon Sohn:
Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation. 14151-14160 - Qi Cai, Yingwei Pan, Yu Wang, Jingen Liu, Ting Yao, Tao Mei:
Learning a Unified Sample Weighting Network for Object Detection. 14161-14170 - Muhammad Zaigham Zaheer, Jin-Ha Lee, Marcella Astrid, Seung-Ik Lee:
Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm. 14171-14181 - Quentin Bammey, Rafael Grompone von Gioi, Jean-Michel Morel:
An Adaptive Neural Network for Unsupervised Mosaic Consistency Analysis in Image Forensics. 14182-14192 - Trevor W. Richardson, Wencheng Wu, Lei Lin, Beilei Xu, Edgar A. Bernal:
McFlow: Monte Carlo Flow Models for Data Imputation. 14193-14202 - Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang:
Learning to See Through Obstructions. 14203-14212 - Chao Fan, Yunjie Peng, Chunshui Cao, Xu Liu, Saihui Hou, Jiannan Chi, Yongzhen Huang, Qing Li, Zhiqiang He:
GaitPart: Temporal Part-Based Model for Gait Recognition. 14213-14221 - Trisha Mittal, Pooja Guhan, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha:
EmotiCon: Context-Aware Multimodal Emotion Recognition Using Frege's Principle. 14222-14231 - Vincent Jacquot, Zhuofan Ying, Gabriel Kreiman:
Can Deep Learning Recognize Subtle Human Activities? 14232-14241 - Zelun Kong, Junfeng Guo, Ang Li, Cong Liu:
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving. 14242-14251 - Mirazul Haque, Anki Chauhan, Cong Liu, Wei Yang:
ILFO: Adversarial Attack on Adaptive Neural Networks. 14252-14261 - Osman Semih Kayhan, Jan C. van Gemert:
On Translation Invariance in CNNs: Convolutional Layers Can Exploit Absolute Spatial Location. 14262-14273 - Steven Liu, Tongzhou Wang, David Bau, Jun-Yan Zhu, Antonio Torralba:
Diverse Image Generation via Self-Conditioned GANs. 14274-14283 - Xianglei Xing, Tianfu Wu, Song-Chun Zhu, Ying Nian Wu:
Inducing Hierarchical Compositional Model by Sparsifying Generator Network. 14284-14293 - Rongjie Liu, Meng Li, Li Ma:
CARP: Compression Through Adaptive Recursive Partitioning for Multi-Dimensional Images. 14294-14302 - Anuroop Sriram, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio, Daniel K. Sodickson:
GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction. 14303-14310 - Gabriel Bender, Hanxiao Liu, Bo Chen, Grace Chu, Shuyang Cheng, Pieter-Jan Kindermans, Quoc V. Le:
Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS. 14311-14320 - Xikun Zhang, Chang Xu, Dacheng Tao:
Context Aware Graph Convolution for Skeleton-Based Action Recognition. 14321-14330 - Thiago M. Paixão, Rodrigo Ferreira Berriel, Maria C. S. Boeres, Alessandro L. Koerich, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
Fast(er) Reconstruction of Shredded Text Documents via Self-Supervised Deep Asymmetric Metric Learning. 14331-14339 - Luming Tang, Davis Wertheimer, Bharath Hariharan:
Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition. 14340-14349 - Mete Kemertas, Leila Pishdad, Konstantinos G. Derpanis, Afsaneh Fazly:
RankMI: A Mutual Information Maximizing Ranking Loss. 14350-14359 - Hyunjong Park, Jongyoun Noh, Bumsub Ham:
Learning Memory-Guided Normality for Anomaly Detection. 14360-14369 - Charles-Olivier Dufresne Camaro, Morteza Rezanejad, Stavros Tsogkas, Kaleem Siddiqi, Sven J. Dickinson:
Appearance Shock Grammar for Fast Medial Axis Extraction From Real Images. 14370-14379 - Minjie Cai, Feng Lu, Yoichi Sato:
Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation. 14380-14389 - Jaime Spencer, Richard Bowden, Simon Hadfield:
DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning. 14390-14401 - Anton Mitrokhin, Zhiyuan Hua, Cornelia Fermüller, Yiannis Aloimonos:
Learning Visual Motion Segmentation Using Event Surfaces. 14402-14411 - Abduallah A. Mohamed, Kun Qian, Mohamed Elhoseiny, Christian G. Claudel:
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction. 14412-14420 - Bo Xu, Cheng Lu, Yandong Guo, Jacob Wang:
Discriminative Multi-Modality Speech Recognition. 14421-14430 - Shihao Zhao, Xingjun Ma, Xiang Zheng, James Bailey, Jingjing Chen, Yu-Gang Jiang:
Clean-Label Backdoor Attacks on Video Recognition Models. 14431-14440 - Gilad Cohen, Guillermo Sapiro, Raja Giryes:
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors. 14441-14450 - Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars:
Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem. 14451-14460 - Innfarn Yoo, Xiyang Luo, Yilin Wang, Feng Yang, Peyman Milanfar:
GIFnets: Differentiable GIF Encoding Framework. 14461-14470 - Wenchao Du, Hu Chen, Hongyu Yang:
Learning Invariant Representation for Unsupervised Image Restoration. 14471-14480 - Peyman Bateni, Raghav Goyal, Vaden Masrani, Frank Wood, Leonid Sigal:
Improved Few-Shot Visual Classification. 14481-14490 - Nina Miolane, Susan P. Holmes:
Learning Weighted Submanifolds With Variational Autoencoders and Riemannian Variational Autoencoders. 14491-14499 - Gordon A. Christie, Rodrigo Rene Rai Munoz Abujder, Kevin Foster, Shea Hagstrom, Gregory D. Hager, Myron Z. Brown:
Learning Geocentric Object Pose in Oblique Monocular Images. 14500-14508 - Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In So Kweon:
Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations. 14509-14518 - Giannis Daras, Augustus Odena, Han Zhang, Alexandros G. Dimakis:
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models. 14519-14527 - Kentaro Wada, Edgar Sucar, Stephen James, Daniel Lenton, Andrew J. Davison:
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion. 14528-14537 - Geunseob Oh, Jean-Sébastien Valois:
HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting. 14538-14547 - Sen Deng, Mingqiang Wei, Jun Wang, Yidan Feng, Luming Liang, Haoran Xie, Fu Lee Wang, Meng Wang:
Detail-recovery Image Deraining via Context Aggregation Networks. 14548-14557 - Han Fu, Rui Wu, Chenghao Liu, Jianling Sun:
MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model. 14558-14568 - Eun-Sol Kim, Woo-Young Kang, Kyoung-Woon On, Yu-Jung Heo, Byoung-Tak Zhang:
Hypergraph Attention Networks for Multimodal Learning. 14569-14578 - Deen Dayal Mohan, Nishant Sankaran, Dennis Fedorishin, Srirangaraj Setlur, Venu Govindaraju:
Moving in the Right Direction: A Regularization for Deep Metric Learning. 14579-14587 - Daniel Haase, Manuel Amthor:
Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets. 14588-14597 - Lourenço V. Pato, Renato M. P. Negrinho, Pedro M. Q. Aguiar:
Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization. 14598-14606 - Runwu Zhou, Yi-Dong Shen:
End-to-End Adversarial-Attention Network for Multi-Modal Clustering. 14607-14616 - Erich Elsen, Marat Dukhan, Trevor Gale, Karen Simonyan:
Fast Sparse ConvNets. 14617-14626 - Tianhong Li, Jianguo Li, Zhuang Liu, Changshui Zhang:
Few Sample Knowledge Distillation for Efficient Network Compression. 14627-14635 - Michaël Ramamonjisoa, Yuming Du, Vincent Lepetit:
Predicting Sharp and Accurate Occlusion Boundaries in Monocular Depth Estimation Using Displacement Fields. 14636-14645 - Qinsong Li, Shengjun Liu, Ling Hu, Xinru Liu:
Shape correspondence using anisotropic Chebyshev spectral CNNs. 14646-14655 - Zhichao Lu, Vivek Rathod, Ronny Votel, Jonathan Huang:
RetinaTrack: Online Single Stage Joint Detection and Tracking. 14656-14666 - Mahdi Abavisani, Liwei Wu, Shengli Hu, Joel R. Tetreault, Alejandro Jaimes:
Multimodal Categorization of Crisis Events in Social Media. 14667-14677 - Wenyu Han, Siyuan Xiang, Chenhui Liu, Ruoyu Wang, Chen Feng:
SPARE3D: A Dataset for SPAtial REasoning on Three-View Line Drawings. 14678-14687 - Qiangpeng Yang, Jun Huang, Wei Lin:
SwapText: Image Based Texts Transfer in Scenes. 14688-14697 - Mohamed Yousef, Tom E. Bishop:
OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold. 14698-14707 - Martin Rünz, Kejie Li, Meng Tang, Lingni Ma, Chen Kong, Tanner Schmidt, Ian D. Reid, Lourdes Agapito, Julian Straub, Steven Lovegrove, Richard A. Newcombe:
FroDO: From Detections to 3D Objects. 14708-14717
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