default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCVPR 2017: Honolulu, HI, USA
- 2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-0457-1
- Xiaobo Wang, Xiaojie Guo, Zhen Lei, Changqing Zhang, Stan Z. Li:
Exclusivity-Consistency Regularized Multi-view Subspace Clustering. 1-9 - Weifeng Ge, Yizhou Yu:
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-Tuning. 10-19 - Kenneth Marino, Ruslan Salakhutdinov, Abhinav Gupta:
The More You Know: Using Knowledge Graphs for Image Classification. 20-28 - Martin Simonovsky, Nikos Komodakis:
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs. 29-38 - Ignacio Rocco, Relja Arandjelovic, Josef Sivic:
Convolutional Neural Network Architecture for Geometric Matching. 39-48 - Spyridon Thermos, Georgios Th. Papadopoulos, Petros Daras
, Gerasimos Potamianos:
Deep Affordance-Grounded Sensorimotor Object Recognition. 49-57 - David Lopez-Paz, Robert Nishihara, Soumith Chintala, Bernhard Schölkopf, Léon Bottou:
Discovering Causal Signals in Images. 58-66 - Xiyu Yu, Tongliang Liu, Xinchao Wang, Dacheng Tao:
On Compressing Deep Models by Low Rank and Sparse Decomposition. 67-76 - Charles Ruizhongtai Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas:
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. 77-85 - Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard:
Universal Adversarial Perturbations. 86-94 - Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, Dilip Krishnan:
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks. 95-104 - Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew P. Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi:
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. 105-114 - Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother:
Global Hypothesis Generation for 6D Object Pose Estimation. 115-124 - Mahdi Abbaspour Tehrani, Thabo Beeler, Anselm Grundhöfer:
A Practical Method for Fully Automatic Intrinsic Camera Calibration Using Directionally Encoded Light. 125-133 - Wayne Treible, Philip Saponaro, Scott Sorensen, Abhishek Kolagunda, Michael ONeal, Brian Phelan, Kelly D. Sherbondy, Chandra Kambhamettu:
CATS: A Color and Thermal Stereo Benchmark. 134-142 - Abed Malti, Cédric Herzet:
Elastic Shape-from-Template with Spatially Sparse Deforming Forces. 143-151 - Qingan Yan, Long Yang, Ling Zhang, Chunxia Xiao:
Distinguishing the Indistinguishable: Exploring Structural Ambiguities via Geodesic Context. 152-160 - Dan Xu, Elisa Ricci, Wanli Ouyang, Xiaogang Wang, Nicu Sebe:
Multi-scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation. 161-169 - Michael Schober, Amit Adam, Omer Yair, Shai Mazor, Sebastian Nowozin:
Dynamic Time-of-Flight. 170-179 - Dim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller, Vittorio Ferrari:
Training Object Class Detectors with Click Supervision. 180-189 - Shuran Song, Fisher Yu, Andy Zeng, Angel X. Chang, Manolis Savva, Thomas A. Funkhouser:
Semantic Scene Completion from a Single Depth Image. 190-198 - Andy Zeng, Shuran Song, Matthias Nießner, Matthew Fisher, Jianxiong Xiao, Thomas A. Funkhouser:
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions. 199-208 - Shubham Tulsiani, Tinghui Zhou, Alexei A. Efros, Jitendra Malik:
Multi-view Supervision for Single-View Reconstruction via Differentiable Ray Consistency. 209-217 - Tommaso Cavallari, Stuart Golodetz, Nicholas A. Lord, Julien P. C. Valentin, Luigi Di Stefano, Philip H. S. Torr:
On-the-Fly Adaptation of Regression Forests for Online Camera Relocalisation. 218-227 - Yagiz Aksoy, Tunç Ozan Aydin, Marc Pollefeys:
Designing Effective Inter-Pixel Information Flow for Natural Image Matting. 228-236 - Shuochen Su, Mauricio Delbracio, Jue Wang, Guillermo Sapiro, Wolfgang Heidrich, Oliver Wang:
Deep Video Deblurring for Hand-Held Cameras. 237-246 - Guanbin Li, Yuan Xie, Liang Lin, Yizhou Yu:
Instance-Level Salient Object Segmentation. 247-256 - Seungjun Nah, Tae Hyun Kim, Kyoung Mu Lee:
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring. 257-265 - Yijun Li, Chen Fang, Jimei Yang, Zhaowen Wang, Xin Lu, Ming-Hsuan Yang:
Diversified Texture Synthesis with Feed-Forward Networks. 266-274 - Zhipeng Mo, Boxin Shi, Sai-Kit Yeung, Yasuyuki Matsushita:
Radiometric Calibration for Internet Photo Collections. 275-283 - Youngjung Kim, Hyungjoo Jung, Dongbo Min, Kwanghoon Sohn:
Deeply Aggregated Alternating Minimization for Image Restoration. 284-292 - Mengye Ren, Richard S. Zemel:
End-to-End Instance Segmentation with Recurrent Attention. 293-301 - Wei Ke, Jie Chen, Jianbin Jiao, Guoying Zhao, Qixiang Ye:
SRN: Side-Output Residual Network for Object Symmetry Detection in the Wild. 302-310 - Ning Xu, Brian L. Price, Scott Cohen, Thomas S. Huang:
Deep Image Matting. 311-320 - Mihoko Shimano, Hiroki Okawa, Yuta Asano, Ryoma Bise, Ko Nishino, Imari Sato:
Wetness and Color from a Single Multispectral Image. 321-329 - Yuanming Hu, Baoyuan Wang, Stephen Lin:
FC^4: Fully Convolutional Color Constancy with Confidence-Weighted Pooling. 330-339 - George Trigeorgis, Patrick Snape, Iasonas Kokkinos, Stefanos Zafeiriou:
Face Normals "In-the-Wild" Using Fully Convolutional Networks. 340-349 - Yvain Quéau, Tao Wu, François Lauze, Jean-Denis Durou, Daniel Cremers:
A Non-convex Variational Approach to Photometric Stereo under Inaccurate Lighting. 350-359 - Kosuke Takahashi, Akihiro Miyata, Shohei Nobuhara, Takashi Matsuyama:
A Linear Extrinsic Calibration of Kaleidoscopic Imaging System from Single 3D Point. 360-368 - Zhaopeng Cui, Jinwei Gu, Boxin Shi, Ping Tan, Jan Kautz:
Polarimetric Multi-view Stereo. 369-378 - Huu Le, Tat-Jun Chin, David Suter:
An Exact Penalty Method for Locally Convergent Maximum Consensus. 379-387 - Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker:
Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing. 388-397 - Zhuo Deng, Longin Jan Latecki:
Amodal Detection of 3D Objects: Inferring 3D Bounding Boxes from 2D Ones in RGB-Depth Images. 398-406 - Guillermo Garcia-Hernando, Tae-Kyun Kim:
Transition Forests: Learning Discriminative Temporal Transitions for Action Recognition and Detection. 407-415 - Pichao Wang, Wanqing Li, Zhimin Gao, Yuyao Zhang, Chang Tang, Philip Ogunbona:
Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition with Convolutional Neural Networks. 416-425 - Shiming Ge, Jia Li, Qiting Ye, Zhao Luo:
Detecting Masked Faces in the Wild with LLE-CNNs. 426-434 - Qianru Sun, Bernt Schiele, Mario Fritz:
A Domain Based Approach to Social Relation Recognition. 435-444 - Junwu Weng, Chaoqun Weng, Junsong Yuan:
Spatio-Temporal Naive-Bayes Nearest-Neighbor (ST-NBNN) for Skeleton-Based Action Recognition. 445-454 - Ajjen Joshi, Soumya Ghosh, Margrit Betke, Stan Sclaroff, Hanspeter Pfister:
Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks. 455-464 - Wadim Kehl, Federico Tombari, Slobodan Ilic, Nassir Navab:
Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core. 465-473 - Dafang He, Xiao Yang, Chen Liang, Zihan Zhou, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles:
Multi-scale FCN with Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild. 474-483 - Xavier Alameda-Pineda, Andrea Pilzer, Dan Xu, Nicu Sebe, Elisa Ricci:
Viraliency: Pooling Local Virality. 484-492 - Lei Zhu, Chi-Wing Fu, Michael S. Brown, Pheng-Ann Heng:
A Non-local Low-Rank Framework for Ultrasound Speckle Reduction. 493-501 - Yichao Zhang, Silvia L. Pintea, Jan C. van Gemert:
Video Acceleration Magnification. 502-510 - Donghun Yeo, Jeany Son, Bohyung Han, Joon Hee Han:
Superpixel-Based Tracking-by-Segmentation Using Markov Chains. 511-520 - Bohyung Han, Jack Sim, Hartwig Adam:
BranchOut: Regularization for Online Ensemble Tracking with Convolutional Neural Networks. 521-530 - Pavel Tokmakov, Karteek Alahari, Cordelia Schmid:
Learning Motion Patterns in Videos. 531-539 - Ping Hu, Bing Shuai, Jun Liu, Gang Wang:
Deep Level Sets for Salient Object Detection. 540-549 - Bo Jiang, Jin Tang, Chris Ding, Bin Luo:
Binary Constraint Preserving Graph Matching. 550-557 - Subeesh Vasu, A. N. Rajagopalan:
From Local to Global: Edge Profiles to Camera Motion in Blurred Images. 558-567 - Derya Akkaynak, Tali Treibitz, Tom Shlesinger, Yossi Loya, Raz Tamir, David Iluz:
What is the Space of Attenuation Coefficients in Underwater Computer Vision? 568-577 - Zhengqin Li, Zexiang Xu, Ravi Ramamoorthi, Manmohan Chandraker:
Robust Energy Minimization for BRDF-Invariant Shape from Light Fields. 578-586 - Zeeshan Hayder, Xuming He, Mathieu Salzmann:
Boundary-Aware Instance Segmentation. 587-595 - S. Alireza Golestaneh, Lina J. Karam:
Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes. 596-605 - Yandong Guo, Cheng Lu, Jan P. Allebach, Charles A. Bouman:
Model-Based Iterative Restoration for Binary Document Image Compression with Dictionary Learning. 606-615 - Seungryong Kim, Dongbo Min, Bumsub Ham, Sangryul Jeon, Stephen Lin, Kwanghoon Sohn:
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence. 616-625 - Philip Häusser, Alexander Mordvintsev, Daniel Cremers:
Learning by Association - A Versatile Semi-Supervised Training Method for Neural Networks. 626-635 - Fisher Yu, Vladlen Koltun, Thomas A. Funkhouser:
Dilated Residual Networks. 636-644 - Richard Zhang, Phillip Isola, Alexei A. Efros:
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. 645-654 - Mariano Tepper, Guillermo Sapiro:
Nonnegative Matrix Underapproximation for Robust Multiple Model Fitting. 655-663 - Pankaj Pansari, M. Pawan Kumar:
Truncated Max-of-Convex Models. 664-672 - Calvin Murdock, Fernando De la Torre:
Additive Component Analysis. 673-681 - Chong Peng, Zhao Kang, Qiang Cheng:
Subspace Clustering via Variance Regularized Ridge Regression. 682-691 - Vamsi K. Ithapu, Risi Kondor, Sterling C. Johnson, Vikas Singh:
The Incremental Multiresolution Matrix Factorization Algorithm. 692-701 - Eunbyung Park, Jimei Yang, Ersin Yumer, Duygu Ceylan, Alexander C. Berg:
Transformation-Grounded Image Generation Network for Novel 3D View Synthesis. 702-711 - Shuhang Gu, Wangmeng Zuo, Shi Guo, Yunjin Chen, Chongyu Chen, Lei Zhang:
Learning Dynamic Guidance for Depth Image Enhancement. 712-721 - Shuang Ma, Jing Liu, Chang Wen Chen:
A-Lamp: Adaptive Layout-Aware Multi-patch Deep Convolutional Neural Network for Photo Aesthetic Assessment. 722-731 - Austin Stone, Hua-Yan Wang, Michael Stark, Yi Liu, D. Scott Phoenix, Dileep George:
Teaching Compositionality to CNNs. 732-741 - Shixing Chen, Caojin Zhang, Ming Dong, Jialiang Le, Mike Rao:
Using Ranking-CNN for Age Estimation. 742-751 - Jimmy S. J. Ren, Xiaohao Chen, Jianbo Liu, Wenxiu Sun, Jiahao Pang, Qiong Yan, Yu-Wing Tai, Li Xu:
Accurate Single Stage Detector Using Recurrent Rolling Convolution. 752-760 - Chunpeng Wu, Wei Wen, Tariq Afzal, Yongmei Zhang, Yiran Chen, Hai Li:
A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation. 761-770 - Jawadul H. Bappy, Sujoy Paul, Ertem Tuncel, Amit K. Roy-Chowdhury:
The Impact of Typicality for Informative Representative Selection. 771-780 - M. Ehsan Abbasnejad, Anthony R. Dick, Anton van den Hengel:
Infinite Variational Autoencoder for Semi-Supervised Learning. 781-790 - Ayan Sinha, Asim Unmesh, Qixing Huang, Karthik Ramani:
SurfNet: Generating 3D Shape Surfaces Using Deep Residual Networks. 791-800 - Rudrasis Chakraborty, Søren Hauberg, Baba C. Vemuri:
Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning. 801-809 - Manuel Haußmann, Fred A. Hamprecht, Melih Kandemir:
Variational Bayesian Multiple Instance Learning with Gaussian Processes. 810-819 - Wenjie Pei, Tadas Baltrusaitis, David M. J. Tax, Louis-Philippe Morency:
Temporal Attention-Gated Model for Robust Sequence Classification. 820-829 - Sujoy Paul, Jawadul H. Bappy, Amit K. Roy-Chowdhury:
Non-uniform Subset Selection for Active Learning in Structured Data. 830-839 - Gustav Larsson, Michael Maire, Gregory Shakhnarovich:
Colorization as a Proxy Task for Visual Understanding. 840-849 - Balazs Kovacs, Sean Bell, Noah Snavely, Kavita Bala:
Shading Annotations in the Wild. 850-859 - Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi:
LCNN: Lookup-Based Convolutional Neural Network. 860-869 - Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang:
Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation. 870-878 - Anurag Arnab, Philip H. S. Torr:
Pixelwise Instance Segmentation with a Dynamically Instantiated Network. 879-888 - Kai Kang, Hongsheng Li, Tong Xiao, Wanli Ouyang, Junjie Yan, Xihui Liu, Xiaogang Wang:
Object Detection in Videos with Tubelet Proposal Networks. 889-897 - Cheng Da, Shibiao Xu, Kun Ding, Gaofeng Meng, Shiming Xiang, Chunhong Pan:
AMVH: Asymmetric Multi-Valued hashing. 898-906 - Haiyu Zhao, Maoqing Tian, Shuyang Sun, Jing Shao, Junjie Yan, Shuai Yi, Xiaogang Wang, Xiaoou Tang:
Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion. 907-915 - Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu:
Deep Visual-Semantic Quantization for Efficient Image Retrieval. 916-925 - Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Teddy Furon, Ondrej Chum:
Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations. 926-935 - Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, Serge J. Belongie:
Feature Pyramid Networks for Object Detection. 936-944 - Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo:
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation. 945-954 - Chuang Gan, Zhe Gan, Xiaodong He, Jianfeng Gao, Li Deng:
StyleNet: Generating Attractive Visual Captions with Styles. 955-964 - Leonid Karlinsky, Joseph Shtok, Yochay Tzur, Asaf Tzadok:
Fine-Grained Recognition of Thousands of Object Categories with Single-Example Training. 965-974 - Yinpeng Dong, Hang Su, Jun Zhu, Bo Zhang:
Improving Interpretability of Deep Neural Networks with Semantic Information. 975-983 - Yingwei Pan, Ting Yao, Houqiang Li, Tao Mei:
Video Captioning with Transferred Semantic Attributes. 984-992 - Arthur Daniel Costea, Robert Varga, Sergiu Nedevschi:
Fast Boosting Based Detection Using Scale Invariant Multimodal Multiresolution Filtered Features. 993-1002 - Colin Lea, Michael D. Flynn, René Vidal, Austin Reiter, Gregory D. Hager:
Temporal Convolutional Networks for Action Segmentation and Detection. 1003-1012 - Si Liu, Changhu Wang, Ruihe Qian, Han Yu, Renda Bao, Yao Sun:
Surveillance Video Parsing with Single Frame Supervision. 1013-1021 - Yan Yan, Chenliang Xu, Dawen Cai, Jason J. Corso:
Weakly Supervised Actor-Action Segmentation via Robust Multi-task Ranking. 1022-1031 - De-An Huang, Joseph J. Lim, Li Fei-Fei, Juan Carlos Niebles:
Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos. 1032-1041 - Jie Qin, Li Liu, Ling Shao, Fumin Shen, Bingbing Ni, Jiaxin Chen, Yunhong Wang:
Zero-Shot Action Recognition with Error-Correcting Output Codes. 1042-1051 - Bryan A. Plummer, Matthew Brown, Svetlana Lazebnik:
Enhancing Video Summarization via Vision-Language Embedding. 1052-1060 - Jianwen Xie, Song-Chun Zhu, Ying Nian Wu:
Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet. 1061-1069 - Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, Gal Chechik:
Context-Aware Captions from Context-Agnostic Supervision. 1070-1079 - Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, José M. F. Moura, Devi Parikh, Dhruv Batra:
Visual Dialog. 1080-1089 - Yuting Zhang, Luyao Yuan, Yijie Guo, Zhiyuan He, I-An Huang, Honglak Lee:
Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries. 1090-1099 - Zaeem Hussain, Mingda Zhang, Xiaozhong Zhang, Keren Ye, Christopher Thomas, Zuha Agha, Nathan Ong, Adriana Kovashka:
Automatic Understanding of Image and Video Advertisements. 1100-1110 - Kai Chen, Hang Song, Chen Change Loy, Dahua Lin:
Discover and Learn New Objects from Documentaries. 1111-1120 - Long Mai, Hailin Jin, Zhe Lin, Chen Fang, Jonathan Brandt, Feng Liu:
Spatial-Semantic Image Search by Visual Feature Synthesis. 1121-1130 - Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, Rogério Schmidt Feris:
Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification. 1131-1140 - Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng:
Semantic Compositional Networks for Visual Captioning. 1141-1150 - Zhou Ren, Xiaoyu Wang, Ning Zhang, Xutao Lv, Li-Jia Li:
Deep Reinforcement Learning-Based Image Captioning with Embedding Reward. 1151-1159 - Ishan Misra, Abhinav Gupta, Martial Hebert:
From Red Wine to Red Tomato: Composition with Context. 1160-1169 - Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
Captioning Images with Diverse Objects. 1170-1178 - Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, Jerret Ross, Vaibhava Goel:
Self-Critical Sequence Training for Image Captioning. 1179-1195 - Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao:
Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation. 1196-1205 - Shan Su, Jung Pyo Hong, Jianbo Shi, Hyun Soo Park:
Predicting Behaviors of Basketball Players from First Person Videos. 1206-1215 - Grégory Rogez, Philippe Weinzaepfel, Cordelia Schmid:
LCR-Net: Localization-Classification-Regression for Human Pose. 1216-1224 - Wei Shen, Rujie Liu:
Learning Residual Images for Face Attribute Manipulation. 1225-1233 - Jin Sun, David W. Jacobs:
Seeing What is Not There: Learning Context to Determine Where Objects are Missing. 1234-1242 - Zhiwu Huang, Chengde Wan, Thomas Probst, Luc Van Gool:
Deep Learning on Lie Groups for Skeleton-Based Action Recognition. 1243-1252 - Georgios Pavlakos, Xiaowei Zhou, Konstantinos G. Derpanis, Kostas Daniilidis:
Harvesting Multiple Views for Marker-Less 3D Human Pose Annotations. 1253-1262 - Georgios Pavlakos, Xiaowei Zhou, Konstantinos G. Derpanis, Kostas Daniilidis:
Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose. 1263-1272 - Alexander Richard, Hilde Kuehne, Juergen Gall:
Weakly Supervised Action Learning with RNN Based Fine-to-Coarse Modeling. 1273-1282 - Luan Tran, Xi Yin, Xiaoming Liu:
Disentangled Representation Learning GAN for Pose-Invariant Face Recognition. 1283-1292 - Eldar Insafutdinov, Mykhaylo Andriluka, Leonid Pishchulin, Siyu Tang, Evgeny Levinkov, Bjoern Andres, Bernt Schiele:
ArtTrack: Articulated Multi-Person Tracking in the Wild. 1293-1301 - Zhe Cao, Tomas Simon, Shih-En Wei, Yaser Sheikh:
Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields. 1302-1310 - Itamar Talmi, Roey Mechrez, Lihi Zelnik-Manor:
Template Matching with Deformable Diversity Similarity. 1311-1319 - Weihua Chen, Xiaotang Chen, Jianguo Zhang, Kaiqi Huang:
Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification. 1320-1329 - Kuo-Hao Zeng, Shih-Han Chou, Fu-Hsiang Chan, Juan Carlos Niebles, Min Sun:
Agent-Centric Risk Assessment: Accident Anticipation and Risky Region Localization. 1330-1338 - Linchao Zhu, Zhongwen Xu, Yi Yang:
Bidirectional Multirate Reconstruction for Temporal Modeling in Videos. 1339-1348 - Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi:
Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning. 1349-1358 - Yunseok Jang, Yale Song, Youngjae Yu, Youngjin Kim, Gunhee Kim:
TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering. 1359-1367 - Yu-Chuan Su, Kristen Grauman:
Making 360° Video Watchable in 2D: Learning Videography for Click Free Viewing. 1368-1376 - Rameswar Panda, Amran Bhuiyan, Vittorio Murino, Amit K. Roy-Chowdhury:
Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks. 1377-1386 - Matthias Mueller, Neil Smith, Bernard Ghanem:
Context-Aware Correlation Filter Tracking. 1387-1395 - Hou-Ning Hu, Yen-Chen Lin, Ming-Yu Liu, Hsien-Tzu Cheng, Yung-Ju Chang, Min Sun:
Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Videos. 1396-1405 - Joel Janai, Fatma Güney, Jonas Wulff, Michael J. Black, Andreas Geiger:
Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data. 1406-1416 - Zheng Shou, Jonathan Chan, Alireza Zareian, Kazuyuki Miyazawa, Shih-Fu Chang:
CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos. 1417-1426 - Erik Wijmans, Yasutaka Furukawa:
Exploiting 2D Floorplan for Building-Scale Panorama RGBD Alignment. 1427-1435 - Florian Bernard, Frank R. Schmidt, Johan Thunberg, Daniel Cremers:
A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching. 1436-1445 - Geoffrey Pascoe, Will Maddern, Michael Tanner, Pedro Pinies, Paul Newman:
NID-SLAM: Robust Monocular SLAM Using Normalised Information Distance. 1446-1455 - Patrick Knöbelreiter, Christian Reinbacher, Alexander Shekhovtsov, Thomas Pock:
End-to-End Training of Hybrid CNN-CRF Models for Stereo. 1456-1465 - Shubham Tulsiani, Hao Su, Leonidas J. Guibas, Alexei A. Efros, Jitendra Malik:
Learning Shape Abstractions by Assembling Volumetric Primitives. 1466-1474 - Yanhua Cheng, Rui Cai, Zhiwei Li, Xin Zhao, Kaiqi Huang:
Locality-Sensitive Deconvolution Networks with Gated Fusion for RGB-D Indoor Semantic Segmentation. 1475-1483 - Jaewon Kim, Ilya Reshetouski, Abhijeet Ghosh:
Acquiring Axially-Symmetric Transparent Objects Using Single-View Transmission Imaging. 1484-1492 - Anh Tuan Tran, Tal Hassner, Iacopo Masi, Gérard G. Medioni:
Regressing Robust and Discriminative 3D Morphable Models with a Very Deep Neural Network. 1493-1502 - Pengfei Dou, Shishir K. Shah, Ioannis A. Kakadiaris:
End-to-End 3D Face Reconstruction with Deep Neural Networks. 1503-1512 - Antonio Agudo, Francesc Moreno-Noguer:
DUST: Dual Union of Spatio-Temporal Subspaces for Monocular Multiple Object 3D Reconstruction. 1513-1521 - Peiyun Hu, Deva Ramanan:
Finding Tiny Faces. 1522-1530 - Jinwei Gu, Xiaodong Yang, Shalini De Mello, Jan Kautz:
Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network. 1531-1540 - Ali Diba, Vivek Sharma, Luc Van Gool:
Deep Temporal Linear Encoding Networks. 1541-1550 - Munawar Hayat, Salman H. Khan, Naoufel Werghi, Roland Goecke:
Joint Registration and Representation Learning for Unconstrained Face Identification. 1551-1560 - Francesc Moreno-Noguer:
3D Human Pose Estimation from a Single Image via Distance Matrix Regression. 1561-1570 - Slawomir Bak, Peter Carr:
One-Shot Metric Learning for Person Re-identification. 1571-1580 - Anoop Cherian, Basura Fernando, Mehrtash Harandi, Stephen Gould:
Generalized Rank Pooling for Activity Recognition. 1581-1590 - Judith Bütepage, Michael J. Black, Danica Kragic, Hedvig Kjellström:
Deep Representation Learning for Human Motion Prediction and Classification. 1591-1599 - Maheen Rashid, Xiuye Gu, Yong Jae Lee:
Interspecies Knowledge Transfer for Facial Keypoint Detection. 1600-1609 - Runpeng Cui, Hu Liu, Changshui Zhang:
Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization. 1610-1618 - Hasan Firdaus M. Zaki, Faisal Shafait, Ajmal S. Mian:
Modeling Sub-Event Dynamics in First-Person Action Recognition. 1619-1628 - Hang Yan, Yebin Liu, Yasutaka Furukawa:
Turning an Urban Scene Video into a Cinemagraph. 1629-1637 - Gaochang Wu, Mandan Zhao, Liangyong Wang, Qionghai Dai, Tianyou Chai, Yebin Liu:
Light Field Reconstruction Using Deep Convolutional Network on EPI. 1638-1646 - Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox:
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. 1647-1655 - Qingxing Cao, Liang Lin, Yukai Shi, Xiaodan Liang, Guanbin Li:
Attention-Aware Face Hallucination via Deep Reinforcement Learning. 1656-1664 - Anna Khoreva, Rodrigo Benenson, Jan Hendrik Hosang, Matthias Hein, Bernt Schiele:
Simple Does It: Weakly Supervised Instance and Semantic Segmentation. 1665-1674 - Tushar Sandhan, Jin Young Choi:
Anti-Glare: Tightly Constrained Optimization for Eyeglass Reflection Removal. 1675-1684 - Wenhan Yang, Robby T. Tan, Jiashi Feng, Jiaying Liu, Zongming Guo, Shuicheng Yan:
Deep Joint Rain Detection and Removal from a Single Image. 1685-1694 - Chen Li, Stephen Lin, Kun Zhou, Katsushi Ikeuchi:
Radiometric Calibration from Faces in Images. 1695-1704 - Bin Jin, Maria V. Ortiz Segovia, Sabine Süsstrunk:
Webly Supervised Semantic Segmentation. 1705-1714 - Xueyang Fu, Jiabin Huang, Delu Zeng, Yue Huang, Xinghao Ding, John W. Paisley:
Removing Rain from Single Images via a Deep Detail Network. 1715-1723 - Yupei Wang, Xin Zhao, Kaiqi Huang:
Deep Crisp Boundaries. 1724-1732 - Naeemullah Khan, Byung-Woo Hong, Anthony J. Yezzi, Ganesh Sundaramoorthi:
Coarse-to-Fine Segmentation with Shape-Tailored Continuum Scale Spaces. 1733-1742 - Chao Peng, Xiangyu Zhang, Gang Yu, Guiming Luo, Jian Sun:
Large Kernel Matters - Improve Semantic Segmentation by Global Convolutional Network. 1743-1751 - Nikolaos Arvanitopoulos, Radhakrishna Achanta, Sabine Süsstrunk:
Single Image Reflection Suppression. 1752-1760 - Zhiding Yu, Chen Feng, Ming-Yu Liu, Srikumar Ramalingam:
CASENet: Deep Category-Aware Semantic Edge Detection. 1761-1770 - Thomas Nestmeyer, Peter V. Gehler:
Reflectance Adaptive Filtering Improves Intrinsic Image Estimation. 1771-1780 - Andreas Veit, Serge J. Belongie, Theofanis Karaletsos:
Conditional Similarity Networks. 1781-1789 - Michael Figurnov, Maxwell D. Collins, Yukun Zhu, Li Zhang, Jonathan Huang, Dmitry P. Vetrov, Ruslan Salakhutdinov:
Spatially Adaptive Computation Time for Residual Networks. 1790-1799 - François Chollet:
Xception: Deep Learning with Depthwise Separable Convolutions. 1800-1807 - Amir R. Zamir, Te-Lin Wu, Lin Sun, William B. Shen, Bertram E. Shi, Jitendra Malik, Silvio Savarese:
Feedback Networks. 1808-1817 - Ehsan Elhamifar, M. Clara De Paolis Kaluza:
Online Summarization via Submodular and Convex Optimization. 1818-1826 - Florian Chabot, Mohamed Chaouch, Jaonary Rabarisoa, Céline Teulière, Thierry Chateau:
Deep MANTA: A Coarse-to-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis from Monocular Image. 1827-1836 - Yuncheng Li, Yale Song, Jiebo Luo:
Improving Pairwise Ranking for Multi-label Image Classification. 1837-1845 - Yunho Jeon, Junmo Kim:
Active Convolution: Learning the Shape of Convolution for Image Classification. 1846-1854 - Aviv Eisenschtat, Lior Wolf:
Linking Image and Text with 2-Way Nets. 1855-1865 - Xun Huang, Yixuan Li, Omid Poursaeed, John E. Hopcroft, Serge J. Belongie:
Stacked Generative Adversarial Networks. 1866-1875 - Can Chen, Scott McCloskey, Jingyi Yu:
Image Splicing Detection via Camera Response Function Analysis. 1876-1885 - Edouard Oyallon:
Building a Regular Decision Boundary with Deep Networks. 1886-1894 - Xuanyi Dong, Junshi Huang, Yi Yang, Shuicheng Yan:
More is Less: A More Complicated Network with Less Inference Complexity. 1895-1903 - Evgeny Levinkov, Jonas Uhrig, Siyu Tang, Mohamed Omran, Eldar Insafutdinov, Alexander Kirillov, Carsten Rother, Thomas Brox, Bernt Schiele, Bjoern Andres:
Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications. 1904-1912 - Zekun Hao, Yu Liu, Hongwei Qin, Junjie Yan, Xiu Li, Xiaolin Hu:
Scale-Aware Face Detection. 1913-1922 - Miguel Ángel Bautista, Artsiom Sanakoyeu, Björn Ommer:
Deep Unsupervised Similarity Learning Using Partially Ordered Sets. 1923-1932 - Jianwen Xie, Yifei Xu, Erik Nijkamp, Ying Nian Wu, Song-Chun Zhu:
Generative Hierarchical Learning of Sparse FRAME Models. 1933-1941 - Ang Li, Jin Sun, Joe Yue-Hei Ng, Ruichi Yu, Vlad I. Morariu, Larry S. Davis:
Generating Holistic 3D Scene Abstractions for Text-Based Image Retrieval. 1942-1950 - Jianan Li, Xiaodan Liang, Yunchao Wei, Tingfa Xu, Jiashi Feng, Shuicheng Yan:
Perceptual Generative Adversarial Networks for Small Object Detection. 1951-1959 - Ronak Kosti, José M. Álvarez, Adrià Recasens, Àgata Lapedriza:
Emotion Recognition in Context. 1960-1968 - Jongyoo Kim, Sanghoon Lee:
Deep Learning of Human Visual Sensitivity in Image Quality Assessment Framework. 1969-1977 - Linjie Yang, Kevin D. Tang, Jianchao Yang, Li-Jia Li:
Dense Captioning with Joint Inference and Visual Context. 1978-1987 - Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick:
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning. 1988-1997 - Yicong Tian, Chen Chen, Mubarak Shah:
Cross-View Image Matching for Geo-Localization in Urban Environments. 1998-2006 - Xing Xu, Fumin Shen, Yang Yang, Dongxiang Zhang, Heng Tao Shen, Jingkuan Song:
Matrix Tri-Factorization with Manifold Regularizations for Zero-Shot Learning. 2007-2016 - Lluis Gomez-Bigorda, Yash Patel, Marçal Rusiñol, Dimosthenis Karatzas, C. V. Jawahar:
Self-Supervised Learning of Visual Features through Embedding Images into Text Topic Spaces. 2017-2026 - Feng Zhu, Hongsheng Li, Wanli Ouyang, Nenghai Yu, Xiaogang Wang:
Learning Spatial Regularization with Image-Level Supervisions for Multi-label Image Classification. 2027-2036 - Pedro Morgado, Nuno Vasconcelos:
Semantically Consistent Regularization for Zero-Shot Recognition. 2037-2046 - Bin Wang, Yongsheng Gao, Changming Sun, Michael Blumenstein, John La Salle:
Can Walking and Measuring Along Chord Bunches Better Describe Leaf Shapes? 2047-2056 - Qixiang Ye, Tianliang Zhang, Wei Ke, Qiang Qiu, Jie Chen, Guillermo Sapiro, Baochang Zhang:
Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model. 2057-2066 - Achal Dave, Olga Russakovsky, Deva Ramanan:
Predictive-Corrective Networks for Action Detection. 2067-2076 - Behrooz Mahasseni, Sinisa Todorovic, Alan Fern:
Budget-Aware Deep Semantic Video Segmentation. 2077-2086 - Noureldien Hussein, Efstratios Gavves, Arnold W. M. Smeulders:
Unified Embedding and Metric Learning for Zero-Exemplar Event Detection. 2087-2096 - Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu:
Spatiotemporal Pyramid Network for Video Action Recognition. 2097-2106 - Zhanning Gao, Gang Hua, Dongqing Zhang, Nebojsa Jojic, Le Wang, Jianru Xue, Nanning Zheng:
ER3: A Unified Framework for Event Retrieval, Recognition and Recounting. 2107-2116 - Suyog Dutt Jain, Bo Xiong, Kristen Grauman:
FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos. 2117-2126 - Aidean Sharghi, Jacob S. Laurel, Boqing Gong:
Query-Focused Video Summarization: Dataset, Evaluation, and a Memory Network Based Approach. 2127-2136 - Chaochao Lu, Michael Hirsch, Bernhard Schölkopf:
Flexible Spatio-Temporal Networks for Video Prediction. 2137-2145 - Konstantinos E. Papoutsakis, Costas Panagiotakis, Antonis A. Argyros:
Temporal Action Co-Segmentation in 3D Motion Capture Data and Videos. 2146-2155 - Hyeonseob Nam, Jung-Woo Ha, Jeonghee Kim:
Dual Attention Networks for Multimodal Reasoning and Matching. 2156-2164 - Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B. Choy, Philip H. S. Torr, Manmohan Chandraker:
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents. 2165-2174 - Xiaodan Liang, Liang Lin, Xiaohui Shen, Jiashi Feng, Shuicheng Yan, Eric P. Xing:
Interpretable Structure-Evolving LSTM. 2175-2184 - Shireen Y. Elhabian, Ross T. Whitaker:
ShapeOdds: Variational Bayesian Learning of Generative Shape Models. 2185-2196 - Haichen Shen, Seungyeop Han, Matthai Philipose, Arvind Krishnamurthy:
Fast Video Classification via Adaptive Cascading of Deep Models. 2197-2205 - Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, Kevin Murphy:
Deep Metric Learning via Facility Location. 2206-2214 - Yevhen Kuznietsov, Jörg Stückler, Bastian Leibe:
Semi-Supervised Deep Learning for Monocular Depth Map Prediction. 2215-2223 - Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, Bohyung Han:
Weakly Supervised Semantic Segmentation Using Web-Crawled Videos. 2224-2232 - Giorgio Patrini, Alessandro Rozza, Aditya Krishna Menon, Richard Nock, Lizhen Qu:
Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach. 2233-2241 - Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Joshua Susskind, Wenda Wang, Russell Webb:
Learning from Simulated and Unsupervised Images through Adversarial Training. 2242-2251 - Chen-Hsuan Lin, Simon Lucey:
Inverse Compositional Spatial Transformer Networks. 2252-2260 - Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger:
Densely Connected Convolutional Networks. 2261-2269 - Simon Niklaus, Long Mai, Feng Liu:
Video Frame Interpolation via Adaptive Convolution. 2270-2279 - Hexiang Hu, Shiyi Lan, Yuning Jiang, Zhimin Cao, Fei Sha:
FastMask: Segment Multi-scale Object Candidates in One Shot. 2280-2288 - Matthew O'Toole, Felix Heide, David B. Lindell, Kai Zang, Steven Diamond, Gordon Wetzstein:
Reconstructing Transient Images from Single-Photon Sensors. 2289-2297 - Li Liu, Fumin Shen, Yuming Shen, Xianglong Liu, Ling Shao:
Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval. 2298-2307 - Liangqiong Qu, Jiandong Tian, Shengfeng He, Yandong Tang, Rynson W. H. Lau:
DeshadowNet: A Multi-context Embedding Deep Network for Shadow Removal. 2308-2316 - Ryusuke Sagawa, Yutaka Satoh:
Illuminant-Camera Communication to Observe Moving Objects under Strong External Light by Spread Spectrum Modulation. 2317-2325 - Shunsuke Saito, Lingyu Wei, Liwen Hu, Koki Nagano, Hao Li:
Photorealistic Facial Texture Inference Using Deep Neural Networks. 2326-2335 - Chia-Yin Tsai, Kiriakos N. Kutulakos, Srinivasa G. Narasimhan, Aswin C. Sankaranarayanan:
The Geometry of First-Returning Photons for Non-Line-of-Sight Imaging. 2336-2344 - Vijay Rengarajan, Yogesh Balaji, A. N. Rajagopalan:
Unrolling the Shutter: CNN to Correct Motion Distortions. 2345-2353 - Pratul P. Srinivasan, Ren Ng, Ravi Ramamoorthi:
Light Field Blind Motion Deblurring. 2354-2362 - Mark Sheinin, Yoav Y. Schechner, Kiriakos N. Kutulakos:
Computational Imaging on the Electric Grid. 2363-2372 - Yannick Hold-Geoffroy, Kalyan Sunkavalli, Sunil Hadap, Emiliano Gambaretto, Jean-François Lalonde:
Deep Outdoor Illumination Estimation. 2373-2382 - Viktor Larsson, Kalle Åström, Magnus Oskarsson:
Efficient Solvers for Minimal Problems by Syzygy-Based Reduction. 2383-2392 - Hainan Cui, Xiang Gao, Shuhan Shen, Zhanyi Hu:
HSfM: Hybrid Structure-from-Motion. 2393-2402 - Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III:
Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures. 2403-2412 - Soumyadip Sengupta, Tal Amir, Meirav Galun, Tom Goldstein, David W. Jacobs, Amit Singer, Ronen Basri:
A New Rank Constraint on Multi-view Fundamental Matrices, and Its Application to Camera Location Recovery. 2413-2421 - Hamid Izadinia, Qi Shan, Steven M. Seitz:
IM2CAD. 2422-2431 - Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas A. Funkhouser, Matthias Nießner:
ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes. 2432-2443 - Jaeheung Surh, Hae-Gon Jeon, Yunwon Park, Sunghoon Im, Hyowon Ha, In So Kweon:
Noise Robust Depth from Focus Using a Ring Difference Filter. 2444-2453 - Luis Gonzalo Sánchez Giraldo, Erion Hasanbelliu, Murali Rao, José C. Príncipe:
Group-Wise Point-Set Registration Based on Rényi's Second Order Entropy. 2454-2462 - Haoqiang Fan, Hao Su, Leonidas J. Guibas:
A Point Set Generation Network for 3D Object Reconstruction from a Single Image. 2463-2471 - Gil Elbaz, Tamar Avraham, Anath Fischer:
3D Point Cloud Registration for Localization Using a Deep Neural Network Auto-Encoder. 2472-2481 - Artem Rozantsev, Sudipta N. Sinha, Debadeepta Dey, Pascal Fua:
Flight Dynamics-Based Recovery of a UAV Trajectory Using Ground Cameras. 2482-2491 - Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother:
DSAC - Differentiable RANSAC for Camera Localization. 2492-2500 - Christian Mostegel, Rudolf Prettenthaler, Friedrich Fraundorfer, Horst Bischof:
Scalable Surface Reconstruction from Point Clouds with Extreme Scale and Density Diversity. 2501-2510 - Amir Arsalan Soltani, Haibin Huang, Jiajun Wu, Tejas D. Kulkarni, Joshua B. Tenenbaum:
Synthesizing 3D Shapes via Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks. 2511-2519 - Matthew Trager, Bernd Sturmfels, John F. Canny, Martial Hebert, Jean Ponce:
General Models for Rational Cameras and the Case of Two-Slit Projections. 2520-2528 - Michael Strecke, Anna Alperovich, Bastian Goldluecke:
Accurate Depth and Normal Maps from Occlusion-Aware Focal Stack Symmetry. 2529-2537 - Thomas Schöps, Johannes L. Schönberger, Silvano Galliani, Torsten Sattler, Konrad Schindler, Marc Pollefeys, Andreas Geiger:
A Multi-view Stereo Benchmark with High-Resolution Images and Multi-camera Videos. 2538-2547 - Hiroyuki Kayaba, Yuji Kokumai:
Non-contact Full Field Vibration Measurement Based on Phase-Shifting. 2548-2556 - Daniel Barath, Tekla Toth, Levente Hajder:
A Minimal Solution for Two-View Focal-Length Estimation Using Two Affine Correspondences. 2557-2565 - Alexander Krull, Eric Brachmann, Sebastian Nowozin, Frank Michel, Jamie Shotton, Carsten Rother:
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning. 2566-2574 - Mariano Jaimez, Thomas J. Cashman, Andrew W. Fitzgibbon, Javier González Jiménez, Daniel Cremers:
An Efficient Background Term for 3D Reconstruction and Tracking with Smooth Surface Models. 2575-2583 - Shan Li, Weihong Deng, Junping Du:
Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild. 2584-2593 - César Roberto de Souza, Adrien Gaidon, Yohann Cabon, Antonio Manuel López Peña:
Procedural Generation of Videos to Train Deep Action Recognition Networks. 2594-2604 - Shanxin Yuan, Qi Ye, Björn Stenger, Siddhant Jain, Tae-Kyun Kim:
BigHand2.2M Benchmark: Hand Pose Dataset and State of the Art Analysis. 2605-2613 - Riza Alp Güler, George Trigeorgis, Epameinondas Antonakos, Patrick Snape, Stefanos Zafeiriou, Iasonas Kokkinos:
DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild. 2614-2623 - Jian-Xun Mi, Qiankun Fu, Weisheng Li:
Adaptive Class Preserving Representation for Image Classification. 2624-2632 - Devraj Mandal, Kunal N. Chaudhury, Soma Biswas:
Generalized Semantic Preserving Hashing for N-Label Cross-Modal Retrieval. 2633-2641 - Xinyu Zhou, Cong Yao, He Wen, Yuzhi Wang, Shuchang Zhou, Weiran He, Jiajun Liang:
EAST: An Efficient and Accurate Scene Text Detector. 2642-2651 - Ronald Clark, Sen Wang, Andrew Markham, Niki Trigoni, Hongkai Wen:
VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization. 2652-2660 - Dustin Morley, Hassan Foroosh:
Improving RANSAC-Based Segmentation through CNN Encapsulation. 2661-2670 - Manikanta Kotaru, Sachin Katti:
Position Tracking for Virtual Reality Using Commodity WiFi. 2671-2681 - Henryk Blasinski, Joyce E. Farrell, Brian A. Wandell:
Designing Illuminant Spectral Power Distributions for Surface Classification. 2682-2691 - Tsuyoshi Takatani, Takahito Aoto, Yasuhiro Mukaigawa:
One-Shot Hyperspectral Imaging Using Faced Reflectors. 2692-2700 - Kaimo Lin, Nianjuan Jiang, Shuaicheng Liu, Loong-Fah Cheong, Minh N. Do, Jiangbo Lu:
Direct Photometric Alignment by Mesh Deformation. 2701-2709 - Christian Bailer, Kiran Varanasi, Didier Stricker:
CNN-Based Patch Matching for Optical Flow with Thresholded Hinge Embedding Loss. 2710-2719 - Anurag Ranjan, Michael J. Black:
Optical Flow Estimation Using a Spatial Pyramid Network. 2720-2729 - Samuel Schulter, Paul Vernaza, Wongun Choi, Manmohan Chandraker:
Deep Network Flow for Multi-object Tracking. 2730-2739 - Kenichiro Tanaka, Yasuhiro Mukaigawa, Takuya Funatomi, Hiroyuki Kubo, Yasuyuki Matsushita, Yasushi Yagi:
Material Classification Using Frequency-and Depth-Dependent Time-of-Flight Distortion. 2740-2749 - Tobias Plötz, Stefan Roth:
Benchmarking Denoising Algorithms with Real Photographs. 2750-2759 - Jinsun Park, Yu-Wing Tai, Donghyeon Cho, In So Kweon:
A Unified Approach of Multi-scale Deep and Hand-Crafted Features for Defocus Estimation. 2760-2769 - Dongdong Chen, Lu Yuan, Jing Liao, Nenghai Yu, Gang Hua:
StyleBank: An Explicit Representation for Neural Image Style Transfer. 2770-2779 - Chen Li, Stephen Lin, Kun Zhou, Katsushi Ikeuchi:
Specular Highlight Removal in Facial Images. 2780-2789 - Ying Tai, Jian Yang, Xiaoming Liu:
Image Super-Resolution via Deep Recursive Residual Network. 2790-2798 - Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Xin Lu, Ming-Hsuan Yang:
Deep Image Harmonization. 2799-2807 - Kai Zhang, Wangmeng Zuo, Shuhang Gu, Lei Zhang:
Learning Deep CNN Denoiser Prior for Image Restoration. 2808-2817 - Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Yao Wang:
A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors. 2818-2827 - JiaWang Bian, Wen-Yan Lin, Yasuyuki Matsushita, Sai-Kit Yeung, Tan-Dat Nguyen, Ming-Ming Cheng:
GMS: Grid-Based Motion Statistics for Fast, Ultra-Robust Feature Correspondence. 2828-2837 - Weihong Ren, Jiandong Tian, Zhi Han, Antoni B. Chan, Yandong Tang:
Video Desnowing and Deraining Based on Matrix Decomposition. 2838-2847 - Jose Caballero, Christian Ledig, Andrew P. Aitken, Alejandro Acosta, Johannes Totz, Zehan Wang, Wenzhe Shi:
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation. 2848-2857 - Min Bai, Raquel Urtasun:
Deep Watershed Transform for Instance Segmentation. 2858-2866 - David Novotný, Diane Larlus, Andrea Vedaldi:
AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching. 2867-2876 - Aditya Deshpande, Jiajun Lu, Mao-Chuang Yeh, Min Jin Chong, David A. Forsyth:
Learning Diverse Image Colorization. 2877-2885 - Shuai Yang, Jiaying Liu, Zhouhui Lian, Zongming Guo:
Awesome Typography: Statistics-Based Text Effects Transfer. 2886-2895 - Hang Zhang, Jia Xue, Kristin J. Dana:
Deep TEN: Texture Encoding Network. 2896-2905 - Bing Su, Gang Hua:
Order-Preserving Wasserstein Distance for Sequence Matching. 2906-2914 - Bohan Zhuang, Lingqiao Liu, Yao Li, Chunhua Shen, Ian D. Reid:
Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning from Web Data. 2915-2924 - Heng Zhang, Vishal M. Patel, Rama Chellappa:
Hierarchical Multimodal Metric Learning for Multimodal Classification. 2925-2933 - Thalaiyasingam Ajanthan, Alban Desmaison, Rudy Bunel, Mathieu Salzmann, Philip H. S. Torr, M. Pawan Kumar:
Efficient Linear Programming for Dense CRFs. 2934-2942 - Youngjoon Yoo, Sangdoo Yun, Hyung Jin Chang, Yiannis Demiris, Jin Young Choi:
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold. 2943-2952 - Paul Vernaza, Manmohan Chandraker:
Learning Random-Walk Label Propagation for Weakly-Supervised Semantic Segmentation. 2953-2961 - Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell:
Adversarial Discriminative Domain Adaptation. 2962-2971 - Yongqiang Zhang, Daming Shi, Junbin Gao, Dansong Cheng:
Low-Rank-Sparse Subspace Representation for Robust Regression. 2972-2981 - Behrooz Mahasseni, Michael Lam, Sinisa Todorovic:
Unsupervised Video Summarization with Adversarial LSTM Networks. 2982-2991 - Carl Vondrick, Antonio Torralba:
Generating the Future with Adversarial Transformers. 2992-3000 - Yan Zhu, Yuandong Tian, Dimitris N. Metaxas, Piotr Dollár:
Semantic Amodal Segmentation. 3001-3009 - Li Zhang, Tao Xiang, Shaogang Gong:
Learning a Deep Embedding Model for Zero-Shot Learning. 3010-3019 - Jacob Chan, Jimmy Addison Lee, Qian Kemao:
BIND: Binary Integrated Net Descriptors for Texture-Less Object Recognition. 3020-3028 - Yu-Xiong Wang, Deva Ramanan, Martial Hebert:
Growing a Brain: Fine-Tuning by Increasing Model Capacity. 3029-3038 - Xiaolong Wang, Abhinav Shrivastava, Abhinav Gupta:
A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection. 3039-3048 - Yin Cui, Feng Zhou, Jiang Wang, Xiao Liu, Yuanqing Lin, Serge J. Belongie:
Kernel Pooling for Convolutional Neural Networks. 3049-3058 - Peng Tang, Xinggang Wang, Xiang Bai, Wenyu Liu:
Multiple Instance Detection Network with Online Instance Classifier Refinement. 3059-3067 - Amaia Salvador, Nicholas Hynes, Yusuf Aytar, Javier Marín, Ferda Ofli, Ingmar Weber, Antonio Torralba:
Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. 3068-3076 - Yongqin Xian, Bernt Schiele, Zeynep Akata:
Zero-Shot Learning - The Good, the Bad and the Ugly. 3077-3086 - Samarth Brahmbhatt, James Hays:
DeepNav: Learning to Navigate Large Cities. 3087-3096 - Danfei Xu, Yuke Zhu, Christopher B. Choy, Li Fei-Fei:
Scene Graph Generation by Iterative Message Passing. 3097-3106 - Hanwang Zhang, Zawlin Kyaw, Shih-Fu Chang, Tat-Seng Chua:
Visual Translation Embedding Network for Visual Relation Detection. 3107-3115 - Ronan Sicre, Yannis Avrithis, Ewa Kijak, Frédéric Jurie:
Unsupervised Part Learning for Visual Recognition. 3116-3124 - Ruotian Luo, Gregory Shakhnarovich:
Comprehension-Guided Referring Expressions. 3125-3134 - Vasili Ramanishka, Abir Das, Jianming Zhang, Kate Saenko:
Top-Down Visual Saliency Guided by Captions. 3135-3144 - Qiong Wang, Junbin Gao, Hong Li:
Grassmannian Manifold Optimization Assisted Sparse Spectral Clustering. 3145-3153 - Varun Jampani, Raghudeep Gadde, Peter V. Gehler:
Video Propagation Networks. 3154-3164 - Rohit Girdhar, Deva Ramanan, Abhinav Gupta, Josef Sivic, Bryan C. Russell:
ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification. 3165-3174 - Fabian Caba Heilbron, Wayner Barrios, Victor Escorcia, Bernard Ghanem:
SCC: Semantic Context Cascade for Efficient Action Detection. 3175-3184 - Lorenzo Baraldi, Costantino Grana, Rita Cucchiara:
Hierarchical Boundary-Aware Neural Encoder for Video Captioning. 3185-3194 - Tan Yu, Yuwei Wu, Junsong Yuan:
HOPE: Hierarchical Object Prototype Encoding for Efficient Object Instance Search in Videos. 3195-3204 - Ionut Cosmin Duta, Bogdan Ionescu, Kiyoharu Aizawa, Nicu Sebe:
Spatio-Temporal Vector of Locally Max Pooled Features for Action Recognition in Videos. 3205-3214 - Ze-Huan Yuan, Jonathan C. Stroud, Tong Lu, Jia Deng:
Temporal Action Localization by Structured Maximal Sums. 3215-3223 - Yufan Liu, Songyang Zhang, Mai Xu, Xuming He:
Predicting Salient Face in Multiple-Face Videos. 3224-3232 - Damien Teney, Lingqiao Liu, Anton van den Hengel:
Graph-Structured Representations for Visual Question Answering. 3233-3241 - Jiasen Lu, Caiming Xiong, Devi Parikh, Richard Socher:
Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning. 3242-3250 - Hyo Jin Kim, Enrique Dunn, Jan-Michael Frahm:
Learned Contextual Feature Reweighting for Image Geo-Localization. 3251-3260 - Youngjae Yu, Hyungjin Ko, Jongwook Choi, Gunhee Kim:
End-to-End Concept Word Detection for Video Captioning, Retrieval, and Question Answering. 3261-3269 - Qing-Yuan Jiang, Wu-Jun Li:
Deep Cross-Modal Hashing. 3270-3278 - Xuejian Rong, Chucai Yi, Yingli Tian:
Unambiguous Text Localization and Retrieval for Cluttered Scenes. 3279-3287 - Zihao Hu, Junxuan Chen, Hongtao Lu, Tongzhen Zhang:
Bayesian Supervised Hashing. 3288-3295 - Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy:
Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors. 3296-3297 - Bo Dai, Yuqi Zhang, Dahua Lin:
Detecting Visual Relationships with Deep Relational Networks. 3298-3308 - Tobias Pohlen, Alexander Hermans, Markus Mathias, Bastian Leibe:
Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes. 3309-3318 - David Bau, Bolei Zhou, Aditya Khosla, Aude Oliva, Antonio Torralba:
Network Dissection: Quantifying Interpretability of Deep Visual Representations. 3319-3327 - Mandar Dixit, Roland Kwitt, Marc Niethammer, Nuno Vasconcelos:
AGA: Attribute-Guided Augmentation. 3328-3336 - Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei:
A Hierarchical Approach for Generating Descriptive Image Paragraphs. 3337-3345 - Liang Zheng, Hengheng Zhang, Shaoyan Sun, Manmohan Chandraker, Yi Yang, Qi Tian:
Person Re-identification in the Wild. 3346-3355 - Song Bai, Xiang Bai, Qi Tian:
Scalable Person Re-identification on Supervised Smoothed Manifold. 3356-3365 - Xiaolong Wang, Rohit Girdhar, Abhinav Gupta:
Binge Watching: Scaling Affordance Learning from Sitcoms. 3366-3375 - Tong Xiao, Shuang Li, Bochao Wang, Liang Lin, Xiaogang Wang:
Joint Detection and Identification Feature Learning for Person Search. 3376-3385 - Forrester Cole, David Belanger, Dilip Krishnan, Aaron Sarna, Inbar Mosseri, William T. Freeman:
Synthesizing Normalized Faces from Facial Identity Features. 3386-3395 - Ji Lin, Liangliang Ren, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Consistent-Aware Deep Learning for Person Re-identification in a Camera Network. 3396-3405 - Aaron Nech, Ira Kemelmacher-Shlizerman:
Level Playing Field for Million Scale Face Recognition. 3406-3415 - Oscar Koller, Sepehr Zargaran, Hermann Ney:
Re-Sign: Re-Aligned End-to-End Sequence Modelling with Deep Recurrent CNN-HMMs. 3416-3424 - Timur M. Bagautdinov, Alexandre Alahi, François Fleuret, Pascal Fua, Silvio Savarese:
Social Scene Understanding: End-to-End Multi-person Action Localization and Collective Activity Recognition. 3425-3434 - Hao Jiang, Kristen Grauman:
Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly. 3435-3443 - Joon Son Chung, Andrew W. Senior, Oriol Vinyals, Andrew Zisserman:
Lip Reading Sentences in the Wild. 3444-3453 - Yuliang Liu, Lianwen Jin:
Deep Matching Prior Network: Toward Tighter Multi-oriented Text Detection. 3454-3461 - Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers:
ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases. 3462-3471 - Siavash Gorji, James J. Clark:
Attentional Push: A Deep Convolutional Network for Augmenting Image Salience with Shared Attention Modeling in Social Scenes. 3472-3481 - Baoguang Shi, Xiang Bai, Serge J. Belongie:
Detecting Oriented Text in Natural Images by Linking Segments. 3482-3490 - Federico Perazzi, Anna Khoreva, Rodrigo Benenson, Bernt Schiele, Alexander Sorkine-Hornung:
Learning Video Object Segmentation from Static Images. 3491-3500 - Hao Jiang, Kristen Grauman:
Seeing Invisible Poses: Estimating 3D Body Pose from Egocentric Video. 3501-3509 - Anh Nguyen, Jeff Clune, Yoshua Bengio, Alexey Dosovitskiy, Jason Yosinski:
Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space. 3510-3520 - Licheng Yu, Hao Tan, Mohit Bansal, Tamara L. Berg:
A Joint Speaker-Listener-Reinforcer Model for Referring Expressions. 3521-3529 - Huazhe Xu, Yang Gao, Fisher Yu, Trevor Darrell:
End-to-End Learning of Driving Models from Large-Scale Video Datasets. 3530-3538 - Mengmi Zhang, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Jiashi Feng:
Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks. 3539-3548 - Zizhao Zhang, Yuanpu Xie, Fuyong Xing, Mason McGough, Lin Yang:
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network. 3549-3557 - Adnane Boukhayma, Jean-Sébastien Franco, Edmond Boyer:
Surface Motion Capture Transfer with Gaussian Process Regression. 3558-3566 - Jingming Dong, Xiaohan Fei, Stefano Soatto:
Visual-Inertial-Semantic Scene Representation for 3D Object Detection. 3567-3577 - Nazim Haouchine, Stephane Cotin:
Template-Based Monocular 3D Recovery of Elastic Shapes Using Lagrangian Multipliers. 3578-3586 - Dingwen Zhang, Junwei Han, Yang Yang, Dong Huang:
Learning Category-Specific 3D Shape Models from Weakly Labeled 2D Images. 3587-3595 - Marjan Shahpaski, Luis Ricardo Sapaico, Gaspard Chevassus, Sabine Süsstrunk:
Simultaneous Geometric and Radiometric Calibration of a Projector-Camera Pair. 3596-3604 - Zuzana Kukelova, Joe Kileel, Bernd Sturmfels, Tomás Pajdla:
A Clever Elimination Strategy for Efficient Minimal Solvers. 3605-3614 - Jin Xie, Guoxian Dai, Fan Zhu, Yi Fang:
Learning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval. 3615-3623 - Gil Shamai, Ron Kimmel:
Geodesic Distance Descriptors. 3624-3632 - Hongsong Wang, Liang Wang:
Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks. 3633-3642 - Yu-Wei Chao, Jimei Yang, Brian L. Price, Scott Cohen, Jia Deng:
Forecasting Human Dynamics from Static Images. 3643-3651 - Zhun Zhong, Liang Zheng, Donglin Cao, Shaozi Li:
Re-ranking Person Re-identification with k-Reciprocal Encoding. 3652-3661 - Yu Kong, Zhiqiang Tao, Yun Fu:
Deep Sequential Context Networks for Action Prediction. 3662-3670 - Jun Liu, Gang Wang, Ping Hu, Ling-Yu Duan, Alex C. Kot:
Global Context-Aware Attention LSTM Networks for 3D Action Recognition. 3671-3680 - Zhenhua Feng, Josef Kittler, William J. Christmas, Patrik Huber, Xiaojun Wu:
Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting. 3681-3690 - Jiang-Jing Lv, Xiaohu Shao, Junliang Xing, Cheng Cheng, Xi Zhou:
A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection. 3691-3700 - Siyu Tang, Mykhaylo Andriluka, Bjoern Andres, Bernt Schiele:
Multiple People Tracking by Lifted Multicut and Person Re-identification. 3701-3710 - George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin Murphy:
Towards Accurate Multi-person Pose Estimation in the Wild. 3711-3719 - Vamsi Kiran Adhikarla, Marek Vinkler, Denis Sumin, Rafal K. Mantiuk, Karol Myszkowski, Hans-Peter Seidel, Piotr Didyk:
Towards a Quality Metric for Dense Light Fields. 3720-3729 - Leon A. Gatys, Alexander S. Ecker, Matthias Bethge, Aaron Hertzmann, Eli Shechtman:
Controlling Perceptual Factors in Neural Style Transfer. 3730-3738 - Kuan-Lun Tseng, Yen-Liang Lin, Winston H. Hsu, Chung-Yang Huang:
Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical Segmentation. 3739-3746 - Biagio Brattoli, Uta Büchler, Anna-Sophia Wahl, Martin E. Schwab, Björn Ommer:
LSTM Self-Supervision for Detailed Behavior Analysis. 3747-3756 - Donald G. Dansereau, Glenn Schuster, Joseph Ford, Gordon Wetzstein:
A Wide-Field-of-View Monocentric Light Field Camera. 3757-3766 - Yanchao Yang, Stefano Soatto:
S2F: Slow-to-Fast Interpolator Flow. 3767-3776 - Che-Han Chang, Chun-Nan Chou, Edward Y. Chang:
CLKN: Cascaded Lucas-Kanade Networks for Image Alignment. 3777-3785 - Jeany Son, Mooyeol Baek, Minsu Cho, Bohyung Han:
Multi-object Tracking with Quadruplet Convolutional Neural Networks. 3786-3795 - Lijun Wang, Huchuan Lu, Yifan Wang, Mengyang Feng, Dong Wang, Baocai Yin, Xiang Ruan:
Learning to Detect Salient Objects with Image-Level Supervision. 3796-3805 - Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian D. Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur. 3806-3815 - Roy Josef Jevnisek, Shai Avidan:
Co-occurrence Filter. 3816-3824 - Hongteng Xu, Junchi Yan, Nils Persson, Weiyao Lin, Hongyuan Zha:
Fractal Dimension Invariant Filtering and Its CNN-Based Implementation. 3825-3833 - Meiguang Jin, Stefan Roth, Paolo Favaro:
Noise-Blind Image Deblurring. 3834-3842 - Tatsuya Yokota, Hidekata Hontani:
Simultaneous Visual Data Completion and Denoising Based on Tensor Rank and Total Variation Minimization and Its Primal-Dual Splitting Algorithm. 3843-3851 - Vassileios Balntas, Karel Lenc, Andrea Vedaldi, Krystian Mikolajczyk:
HPatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors. 3852-3861 - Renwei Dian, Leyuan Fang, Shutao Li:
Hyperspectral Image Super-Resolution via Non-local Sparse Tensor Factorization. 3862-3871 - Byeong-Ju Han, Jae-Young Sim:
Reflection Removal Using Low-Rank Matrix Completion. 3872-3880 - Koteswar Rao Jerripothula, Jianfei Cai, Jiangbo Lu, Junsong Yuan:
Object Co-skeletonization with Co-segmentation. 3881-3889 - Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu:
Mining Object Parts from CNNs via Active Question-Answering. 3890-3899 - Xingcheng Zhang, Zhizhong Li, Chen Change Loy, Dahua Lin:
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks. 3900-3908 - Peng Wang, Qi Wu, Chunhua Shen, Anton van den Hengel:
The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions. 3909-3918 - Naveed Akhtar, Ajmal S. Mian, Fatih Porikli:
Joint Discriminative Bayesian Dictionary and Classifier Learning. 3919-3928 - Nikolay Savinov, Akihito Seki, Lubor Ladicky, Torsten Sattler, Marc Pollefeys:
Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection. 3929-3937 - Pan Zhou, Jiashi Feng:
Outlier-Robust Tensor PCA. 3938-3946 - Zhen Wei, Yao Sun, Jinqiao Wang, Hanjiang Lai, Si Liu:
Learning Adaptive Receptive Fields for Deep Image Parsing Network. 3947-3955 - Samitha Herath, Mehrtash Tafazzoli Harandi, Fatih Porikli:
Learning an Invariant Hilbert Space for Domain Adaptation. 3956-3965 - Peisong Wang, Jian Cheng:
Fixed-Point Factorized Networks. 3966-3974 - Jayakorn Vongkulbhisal, Fernando De la Torre, João Paulo Costeira:
Discriminative Optimization: Theory and Applications to Point Cloud Registration. 3975-3983 - Yiling Wu, Shuhui Wang, Qingming Huang:
Online Asymmetric Similarity Learning for Cross-Modal Retrieval. 3984-3993 - Kui Jia, Dacheng Tao, Shenghua Gao, Xiangmin Xu:
Improving Training of Deep Neural Networks via Singular Value Bounding. 3994-4002 - Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Yongxi Lu, Zhongfei Zhang, Rogério Schmidt Feris:
S3Pool: Pooling with Stochastic Spatial Sampling. 4003-4011 - Namdar Homayounfar, Sanja Fidler, Raquel Urtasun:
Sports Field Localization via Deep Structured Models. 4012-4020 - Binghui Chen, Weihong Deng, Junping Du:
Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation. 4021-4030 - Deepak Babu Sam, Shiv Surya, R. Venkatesh Babu:
Switching Convolutional Neural Network for Crowd Counting. 4031-4039 - Yiwen Guo, Anbang Yao, Hao Zhao, Yurong Chen:
Network Sketching: Exploiting Binary Structure in Deep CNNs. 4040-4048 - Xiaoqiang Yan, Shizhe Hu, Yangdong Ye:
Multi-task Clustering of Human Actions by Sharing Information. 4049-4057 - Dong Huang, Longfei Han, Fernando De la Torre:
Soft-Margin Mixture of Regressions. 4058-4066 - Tsung-Wei Ke, Michael Maire, Stella X. Yu:
Multigrid Neural Architectures. 4067-4075 - Chao Yang, Xin Lu, Zhe Lin, Eli Shechtman, Oliver Wang, Hao Li:
High-Resolution Image Inpainting Using Multi-scale Neural Patch Synthesis. 4076-4084 - Zhaofan Qiu, Ting Yao, Tao Mei:
Deep Quantization: Encoding Convolutional Activations with Deep Generative Model. 4085-4094 - Jose Dolz, Ismail Ben Ayed, Christian Desrosiers:
DOPE: Distributed Optimization for Pairwise Energies. 4095-4104 - Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky:
Improved Texture Networks: Maximizing Quality and Diversity in Feed-Forward Stylization and Texture Synthesis. 4105-4113 - Hakan Cevikalp, Bill Triggs:
Polyhedral Conic Classifiers for Visual Object Detection and Classification. 4114-4122 - Juncheng Liu, Zhouhui Lian, Yi Wang, Jianguo Xiao:
Incremental Kernel Null Space Discriminant Analysis for Novelty Detection. 4123-4131 - Menghua Zhai, Zachary Bessinger, Scott Workman, Nathan Jacobs:
Predicting Ground-Level Scene Layout from Aerial Imagery. 4132-4140 - Xizhou Zhu, Yuwen Xiong, Jifeng Dai, Lu Yuan, Yichen Wei:
Deep Feature Flow for Video Recognition. 4141-4150 - Fan Yang, Xin Li, Hong Cheng, Jianping Li, Leiting Chen:
Object-Aware Dense Semantic Correspondence. 4151-4159 - Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun:
Semantic Regularisation for Recurrent Image Annotation. 4160-4168 - Zhi-Qi Cheng, Xiao Wu, Yang Liu, Xian-Sheng Hua:
Video2Shop: Exact Matching Clothes in Videos to Online Shopping Images. 4169-4177 - Seyed A. Esmaeili, Bharat Singh, Larry S. Davis:
Fast-At: Fast Automatic Thumbnail Generation Using Deep Neural Networks. 4178-4186 - Dongfei Yu, Jianlong Fu, Tao Mei, Yong Rui:
Multi-level Attention Networks for Visual Question Answering. 4187-4195 - Anna Rohrbach, Marcus Rohrbach, Siyu Tang, Seong Joon Oh, Bernt Schiele:
Generating Descriptions with Grounded and Co-referenced People. 4196-4206 - Saumya Jetley, Michael Sapienza, Stuart Golodetz, Philip H. S. Torr:
Straight to Shapes: Real-Time Detection of Encoded Shapes. 4207-4216 - Thanh-Toan Do, Dang-Khoa Le Tan, Trung T. Pham, Ngai-Man Cheung:
Simultaneous Feature Aggregating and Hashing for Large-Scale Image Search. 4217-4226 - Mahdi M. Kalayeh, Boqing Gong, Mubarak Shah:
Improving Facial Attribute Prediction Using Semantic Segmentation. 4227-4235 - Dan Xu, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe:
Learning Cross-Modal Deep Representations for Robust Pedestrian Detection. 4236-4244 - Yang Du, Chunfeng Yuan, Bing Li, Weiming Hu, Stephen J. Maybank:
Spatio-Temporal Self-Organizing Map Deep Network for Dynamic Object Detection from Videos. 4245-4254 - Tianmin Shu, Sinisa Todorovic, Song-Chun Zhu:
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition. 4255-4263 - Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura:
Understanding Traffic Density from Large-Scale Web Camera Data. 4264-4273 - Rameswar Panda, Amit K. Roy-Chowdhury:
Collaborative Summarization of Topic-Related Videos. 4274-4283 - Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides:
Local Binary Convolutional Neural Networks. 4284-4293 - Zequn Jie, Yunchao Wei, Xiaojie Jin, Jiashi Feng, Wei Liu:
Deep Self-Taught Learning for Weakly Supervised Object Localization. 4294-4302 - Pierre Baqué, François Fleuret, Pascal Fua:
Multi-modal Mean-Fields via Cardinality-Based Clamping. 4303-4312 - Behnam Gholami, Vladimir Pavlovic:
Probabilistic Temporal Subspace Clustering. 4313-4322 - Chong You, Daniel P. Robinson, René Vidal:
Provable Self-Representation Based Outlier Detection in a Union of Subspaces. 4323-4332 - Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu, Xiaochun Cao:
Latent Multi-view Subspace Clustering. 4333-4341 - Xiao Yang, Ersin Yumer, Paul Asente, Mike Kraley, Daniel Kifer, C. Lee Giles:
Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Networks. 4342-4351 - Zhifei Zhang, Yang Song, Hairong Qi:
Age Progression/Regression by Conditional Adversarial Autoencoder. 4352-4360 - Viktor Larsson, Carl Olsson:
Compact Matrix Factorization with Dependent Subspaces. 4361-4370 - Adel Bibi, Hani Itani, Bernard Ghanem:
FFTLasso: Large-Scale LASSO in the Fourier Domain. 4371-4380 - Yuqian Zhang, Yenson Lau, Han-Wen Kuo, Sky Cheung, Abhay Pasupathy, John Wright:
On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution. 4381-4389 - Benjamin D. Haeffele, René Vidal:
Global Optimality in Neural Network Training. 4390-4398 - Changqun Xia, Jia Li, Xiaowu Chen, Anlin Zheng, Yu Zhang:
What is and What is Not a Salient Object? Learning Salient Object Detector by Ensembling Linear Exemplar Regressors. 4399-4407 - Xiaodan Liang, Lisa Lee, Eric P. Xing:
Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection. 4408-4417 - Ronghang Hu, Marcus Rohrbach, Jacob Andreas, Trevor Darrell, Kate Saenko:
Modeling Relationships in Referential Expressions with Compositional Modular Networks. 4418-4427 - Prithvijit Chattopadhyay, Ramakrishna Vedantam, Ramprasaath R. Selvaraju, Dhruv Batra, Devi Parikh:
Counting Everyday Objects in Everyday Scenes. 4428-4437 - Yi Li, Haozhi Qi, Jifeng Dai, Xiangyang Ji, Yichen Wei:
Fully Convolutional Instance-Aware Semantic Segmentation. 4438-4446 - Elyor Kodirov, Tao Xiang, Shaogang Gong:
Semantic Autoencoder for Zero-Shot Learning. 4447-4456 - Shanshan Zhang, Rodrigo Benenson, Bernt Schiele:
CityPersons: A Diverse Dataset for Pedestrian Detection. 4457-4465 - Harm de Vries, Florian Strub, Sarath Chandar, Olivier Pietquin, Hugo Larochelle, Aaron C. Courville:
GuessWhat?! Visual Object Discovery through Multi-modal Dialogue. 4466-4475 - Jianlong Fu, Heliang Zheng, Tao Mei:
Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition. 4476-4484 - Lluís Castrejón, Kaustav Kundu, Raquel Urtasun, Sanja Fidler:
Annotating Object Instances with a Polygon-RNN. 4485-4493 - Wenzhen Yuan, Shaoxiong Wang, Siyuan Dong, Edward H. Adelson:
Connecting Look and Feel: Associating the Visual and Tactile Properties of Physical Materials. 4494-4502 - Concetto Spampinato, Simone Palazzo, Isaak Kavasidis, Daniela Giordano, Nasim Souly, Mubarak Shah:
Deep Learning Human Mind for Automated Visual Classification. 4503-4511 - Eisuke Ito, Takayuki Okatani:
Self-Calibration-Based Approach to Critical Motion Sequences of Rolling-Shutter Structure from Motion. 4512-4520 - Fotios Logothetis, Roberto Mecca, Roberto Cipolla:
Semi-Calibrated Near Field Photometric Stereo. 4521-4530 - Ali Osman Ulusoy, Michael J. Black, Andreas Geiger:
Semantic Multi-view Stereo: Jointly Estimating Objects and Voxels. 4531-4540 - Matteo Poggi, Stefano Mattoccia:
Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps. 4541-4550 - Tobias Palmér, Kalle Åström, Jan-Michael Frahm:
The Misty Three Point Algorithm for Relative Pose. 4551-4559 - Anil Usumezbas, Ricardo Fabbri, Benjamin B. Kimia:
The Surfacing of Multiview 3D Drawings via Lofting and Occlusion Reasoning. 4560-4569 - Qiuhong Ke, Mohammed Bennamoun, Senjian An, Ferdous Ahmed Sohel, Farid Boussaïd:
A New Representation of Skeleton Sequences for 3D Action Recognition. 4570-4579 - Irene Kaltenmark, Benjamin Charlier, Nicolas Charon:
A General Framework for Curve and Surface Comparison and Registration with Oriented Varifolds. 4580-4589 - Anil Armagan, Martin Hirzer, Peter M. Roth, Vincent Lepetit:
Learning to Align Semantic Segmentation and 2.5D Maps for Geolocalization. 4590-4597 - Lu Sheng, Jianfei Cai, Tat-Jen Cham, Vladimir Pavlovic, King Ngi Ngan:
A Generative Model for Depth-Based Robust 3D Facial Pose Tracking. 4598-4607 - Fabio Maninchedda, Martin R. Oswald, Marc Pollefeys:
Fast 3D Reconstruction of Faces with Glasses. 4608-4617 - Tong Ke, Stergios I. Roumeliotis:
An Efficient Algebraic Solution to the Perspective-Three-Point Problem. 4618-4626 - Gül Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J. Black, Ivan Laptev, Cordelia Schmid:
Learning from Synthetic Humans. 4627-4635 - Wei-Chiu Ma, De-An Huang, Namhoon Lee, Kris M. Kitani:
Forecasting Interactive Dynamics of Pedestrians with Fictitious Play. 4636-4644 - Tomas Simon, Hanbyul Joo, Iain A. Matthews, Yaser Sheikh:
Hand Keypoint Detection in Single Images Using Multiview Bootstrapping. 4645-4653 - Umar Iqbal, Anton Milan, Juergen Gall:
PoseTrack: Joint Multi-person Pose Estimation and Tracking. 4654-4663 - Shiyu Huang, Deva Ramanan:
Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters. 4664-4673 - Julieta Martinez, Michael J. Black, Javier Romero:
On Human Motion Prediction Using Recurrent Neural Networks. 4674-4683 - Zhiyuan Shi, Tae-Kyun Kim:
Learning and Refining of Privileged Information-Based RNNs for Action Recognition from Depth Sequences. 4684-4693 - Yu Liu, Junjie Yan, Wanli Ouyang:
Quality Aware Network for Set to Set Recognition. 4694-4703 - Christoph Lassner, Javier Romero, Martin Kiefel, Federica Bogo, Michael J. Black, Peter V. Gehler:
Unite the People: Closing the Loop Between 3D and 2D Human Representations. 4704-4713 - Alin-Ionut Popa, Mihai Zanfir, Cristian Sminchisescu:
Deep Multitask Architecture for Integrated 2D and 3D Human Sensing. 4714-4723 - João Carreira, Andrew Zisserman:
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset. 4724-4733 - Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David J. Crandall, Michael S. Ryoo:
Identifying First-Person Camera Wearers in Third-Person Videos. 4734-4742 - Yang Chen, Yong-Jin Liu, Yu-Kun Lai:
Learning to Rank Retargeted Images. 4743-4751 - Victor Yurchenko, Victor S. Lempitsky:
Parsing Images of Overlapping Organisms with Deep Singling-Out Networks. 4752-4760 - Zongwei Zhou, Jae Y. Shin, Lei Zhang, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang:
Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally. 4761-4772 - Huixuan Tang, Scott Cohen, Brian L. Price, Stephen Schiller, Kiriakos N. Kutulakos:
Depth from Defocus in the Wild. 4773-4781 - Chao Liu, Srinivasa G. Narasimhan, Artur W. Dubrawski:
Matting and Depth Recovery of Thin Structures Using a Focal Stack. 4782-4790 - Yinlin Hu, Yunsong Li, Rui Song:
Robust Interpolation of Correspondences for Large Displacement Optical Flow. 4791-4799 - Mengmeng Wang, Yong Liu, Zeyi Huang:
Large Margin Object Tracking with Circulant Feature Maps. 4800-4808 - Dong Lao, Ganesh Sundaramoorthi:
Minimum Delay Moving Object Detection. 4809-4818 - Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang:
Multi-task Correlation Particle Filter for Robust Object Tracking. 4819-4827 - Jongwon Choi, Hyung Jin Chang, Sangdoo Yun, Tobias Fischer, Yiannis Demiris, Jin Young Choi:
Attentional Correlation Filter Network for Adaptive Visual Tracking. 4828-4837 - Denys Rozumnyi, Jan Kotera, Filip Sroubek, Lukás Novotný, Jiri Matas:
The World of Fast Moving Objects. 4838-4846 - Alan Lukezic, Tomas Vojir, Luka Cehovin Zajc, Jiri Matas, Matej Kristan:
Discriminative Correlation Filter with Channel and Spatial Reliability. 4847-4856 - Yueqi Duan, Jiwen Lu, Ziwei Wang, Jianjiang Feng, Jie Zhou:
Learning Deep Binary Descriptor with Multi-quantization. 4857-4866 - Jun Guo, Hongyang Chao:
One-To-Many Network for Visually Pleasing Compression Artifacts Reduction. 4867-4876 - Md. Amirul Islam, Mrigank Rochan, Neil D. B. Bruce, Yang Wang:
Gated Feedback Refinement Network for Dense Image Labeling. 4877-4885 - Hao Guan, William A. P. Smith:
BRISKS: Binary Features for Spherical Images on a Geodesic Grid. 4886-4894 - Radhakrishna Achanta, Sabine Süsstrunk:
Superpixels and Polygons Using Simple Non-iterative Clustering. 4895-4904 - Longquan Dai, Mengke Yuan, Zechao Li, Xiaopeng Zhang, Jinhui Tang:
Hardware-Efficient Guided Image Filtering for Multi-label Problem. 4905-4913 - D. Khuê Lê-Huu, Nikos Paragios:
Alternating Direction Graph Matching. 4914-4922 - Xu Zhang, Felix X. Yu, Svebor Karaman, Shih-Fu Chang:
Learning Discriminative and Transformation Covariant Local Feature Detectors. 4923-4931 - Chengjiang Long, Gang Hua:
Correlational Gaussian Processes for Cross-Domain Visual Recognition. 4932-4940 - Swaminathan Gurumurthy, Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu:
DeLiGAN: Generative Adversarial Networks for Diverse and Limited Data. 4941-4949 - Paul Swoboda, Jan Kuske, Bogdan Savchynskyy:
A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems. 4950-4960 - Yanzhao Zhou, Qixiang Ye, Qiang Qiu, Jianbin Jiao:
Oriented Response Networks. 4961-4970 - Luan Tran, Xiaoming Liu, Jiayu Zhou, Rong Jin:
Missing Modalities Imputation via Cascaded Residual Autoencoder. 4971-4980 - Hossam N. Isack, Olga Veksler, Ipek Oguz, Milan Sonka, Yuri Boykov:
Efficient Optimization for Hierarchically-Structured Interacting Segments (HINTS). 4981-4989 - Paul Swoboda, Bjoern Andres:
A Message Passing Algorithm for the Minimum Cost Multicut Problem. 4990-4999 - Jack Valmadre, Luca Bertinetto, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr:
End-to-End Representation Learning for Correlation Filter Based Tracking. 5000-5008 - Sathya N. Ravi, Yunyang Xiong, Lopamudra Mukherjee, Vikas Singh:
Filter Flow Made Practical: Massively Parallel and Lock-Free. 5009-5018 - Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh:
Online Graph Completion: Multivariate Signal Recovery in Computer Vision. 5019-5027 - Sanping Zhou, Jinjun Wang, Jiayun Wang, Yihong Gong, Nanning Zheng:
Point to Set Similarity Based Deep Feature Learning for Person Re-Identification. 5028-5037 - Seong Joon Oh, Rodrigo Benenson, Anna Khoreva, Zeynep Akata, Mario Fritz, Bernt Schiele:
Exploiting Saliency for Object Segmentation from Image Level Labels. 5038-5047 - Pablo Speciale, Danda Pani Paudel, Martin R. Oswald, Till Kroeger, Luc Van Gool, Marc Pollefeys:
Consensus Maximization with Linear Matrix Inequality Constraints. 5048-5056 - Yinda Zhang, Shuran Song, Ersin Yumer, Manolis Savva, Joon-Young Lee, Hailin Jin, Thomas A. Funkhouser:
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks. 5057-5065 - Xitong Yang, Palghat Ramesh, Radha Chitta, Sriganesh Madhvanath, Edgar A. Bernal, Jiebo Luo:
Deep Multimodal Representation Learning from Temporal Data. 5066-5074 - Di Xie, Jiang Xiong, Shiliang Pu:
All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation. 5075-5084 - Sam Gross, Marc'Aurelio Ranzato, Arthur Szlam:
Hard Mixtures of Experts for Large Scale Weakly Supervised Vision. 5085-5093 - Mustafa Devrim Kaba, Mustafa Gökhan Uzunbas, Ser-Nam Lim:
A Reinforcement Learning Approach to the View Planning Problem. 5094-5102 - Meng Ye, Yuhong Guo:
Zero-Shot Classification with Discriminative Semantic Representation Learning. 5103-5111 - Ziad Al-Halah, Rainer Stiefelhagen:
Automatic Discovery, Association Estimation and Learning of Semantic Attributes for a Thousand Categories. 5112-5121 - Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso, Antonio Torralba:
Scene Parsing through ADE20K Dataset. 5122-5130 - Ali Diba, Vivek Sharma, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool:
Weakly Supervised Cascaded Convolutional Networks. 5131-5139 - Li Liu, Ling Shao, Fumin Shen, Mengyang Yu:
Discretely Coding Semantic Rank Orders for Supervised Image Hashing. 5140-5149 - Jing Zhang, Wanqing Li, Philip Ogunbona:
Joint Geometrical and Statistical Alignment for Visual Domain Adaptation. 5150-5158 - Zhiqiang Shen, Jianguo Li, Zhou Su, Minjun Li, Yurong Chen, Yu-Gang Jiang, Xiangyang Xue:
Weakly Supervised Dense Video Captioning. 5159-5167 - Guosheng Lin, Anton Milan, Chunhua Shen, Ian D. Reid:
RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation. 5168-5177 - Falong Shen, Rui Gan, Shuicheng Yan, Gang Zeng:
Semantic Segmentation via Structured Patch Prediction, Context CRF and Guidance CRF. 5178-5186 - Shuang Li, Tong Xiao, Hongsheng Li, Bolei Zhou, Dayu Yue, Xiaogang Wang:
Person Search with Natural Language Description. 5187-5196 - Johann Sawatzky, Abhilash Srikantha, Juergen Gall:
Weakly Supervised Affordance Detection. 5197-5206 - Yanan Li, Donghui Wang, Huanhang Hu, Yuetan Lin, Yueting Zhuang:
Zero-Shot Recognition Using Dual Visual-Semantic Mapping Paths. 5207-5215 - Jiaolong Yang, Peiran Ren, Dongqing Zhang, Dong Chen, Fang Wen, Hongdong Li, Gang Hua:
Neural Aggregation Network for Video Face Recognition. 5216-5225 - Ji Zhang, Mohamed Elhoseiny, Scott Cohen, Walter Chang, Ahmed M. Elgammal:
Relationship Proposal Networks. 5226-5234 - Guangrun Wang, Ping Luo, Liang Lin, Xiaogang Wang:
Learning Object Interactions and Descriptions for Semantic Image Segmentation. 5235-5243 - Tao Kong, Fuchun Sun, Anbang Yao, Huaping Liu, Ming Lu, Yurong Chen:
RON: Reverse Connection with Objectness Prior Networks for Object Detection. 5244-5252 - Fanyi Xiao, Leonid Sigal, Yong Jae Lee:
Weakly-Supervised Visual Grounding of Phrases with Linguistic Structures. 5253-5262 - Ting Yao, Yingwei Pan, Yehao Li, Tao Mei:
Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects. 5263-5271 - Albert Gordo, Diane Larlus:
Beyond Instance-Level Image Retrieval: Leveraging Captions to Learn a Global Visual Representation for Semantic Retrieval. 5272-5281 - Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot:
MuCaLe-Net: Multi Categorical-Level Networks to Generate More Discriminating Features. 5282-5291 - Shay Deutsch, Soheil Kolouri, Kyungnam Kim, Yuri Owechko, Stefano Soatto:
Zero Shot Learning via Multi-scale Manifold Regularization. 5292-5299 - Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip H. S. Torr:
Deeply Supervised Salient Object Detection with Short Connections. 5300-5309 - Ganzhao Yuan, Wei-Shi Zheng, Bernard Ghanem:
A Matrix Splitting Method for Composite Function Minimization. 5310-5319 - Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool:
One-Shot Video Object Segmentation. 5320-5329 - Jiaxin Chen, Yunhong Wang, Jie Qin, Li Liu, Ling Shao:
Fast Person Re-identification via Cross-Camera Semantic Binary Transformation. 5330-5339 - Dingwen Zhang, Le Yang, Deyu Meng, Dong Xu, Junwei Han:
SPFTN: A Self-Paced Fine-Tuning Network for Segmenting Objects in Weakly Labelled Videos. 5340-5348 - Gad Cohen, Daphna Weinshall:
Hidden Layers in Perceptual Learning. 5349-5357 - Zhongwen Xu, Linchao Zhu, Yi Yang:
Few-Shot Object Recognition from Machine-Labeled Web Images. 5358-5366 - Xin Yu, Fatih Porikli:
Hallucinating Very Low-Resolution Unaligned and Noisy Face Images by Transformative Discriminative Autoencoders. 5367-5375 - Aniruddha Kembhavi, Min Joon Seo, Dustin Schwenk, Jonghyun Choi, Ali Farhadi, Hannaneh Hajishirzi:
Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension. 5376-5384 - Hemanth Venkateswara, Jose Eusebio, Shayok Chakraborty, Sethuraman Panchanathan:
Deep Hashing Network for Unsupervised Domain Adaptation. 5385-5394 - Venkataraman Santhanam, Vlad I. Morariu, Larry S. Davis:
Generalized Deep Image to Image Regression. 5395-5405 - Zhaowei Cai, Xiaodong He, Jian Sun, Nuno Vasconcelos:
Deep Learning with Low Precision by Half-Wave Gaussian Quantization. 5406-5414 - Unnat Jain, Ziyu Zhang, Alexander G. Schwing:
Creativity: Generating Diverse Questions Using Variational Autoencoders. 5415-5424 - Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Jan Svoboda, Michael M. Bronstein:
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs. 5425-5434 - George Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, Michele Covell:
Full Resolution Image Compression with Recurrent Neural Networks. 5435-5443 - Zhixin Shu, Ersin Yumer, Sunil Hadap, Kalyan Sunkavalli, Eli Shechtman, Dimitris Samaras:
Neural Face Editing with Intrinsic Image Disentangling. 5444-5453 - Iasonas Kokkinos:
UberNet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory. 5454-5463 - James Booth, Epameinondas Antonakos, Stylianos Ploumpis, George Trigeorgis, Yannis Panagakis, Stefanos Zafeiriou:
3D Face Morphable Models "In-the-Wild". 5464-5473 - Miroslava Slavcheva, Maximilian Baust, Daniel Cremers, Slobodan Ilic:
KillingFusion: Non-rigid 3D Reconstruction without Correspondences. 5474-5483 - Chao Zhang, Sergi Pujades, Michael J. Black, Gerard Pons-Moll:
Detailed, Accurate, Human Shape Estimation from Clothed 3D Scan Sequences. 5484-5493 - Guido Borghi, Marco Venturelli, Roberto Vezzani, Rita Cucchiara:
POSEidon: Face-from-Depth for Driver Pose Estimation. 5494-5503 - Endri Dibra, Himanshu Jain, A. Cengiz Öztireli, Remo Ziegler, Markus H. Gross:
Human Shape from Silhouettes Using Generative HKS Descriptors and Cross-Modal Neural Networks. 5504-5514 - Weilong Peng, Zhiyong Feng, Chao Xu, Yong Su:
Parametric T-Spline Face Morphable Model for Detailed Fitting in Shape Subspace. 5515-5523 - Silvia Zuffi, Angjoo Kanazawa, David W. Jacobs, Michael J. Black:
3D Menagerie: Modeling the 3D Shape and Pose of Animals. 5524-5532 - Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, Georg Sperl, Christoph H. Lampert:
iCaRL: Incremental Classifier and Representation Learning. 5533-5542 - Mude Lin, Liang Lin, Xiaodan Liang, Keze Wang, Hui Cheng:
Recurrent 3D Pose Sequence Machines. 5543-5552 - Elad Richardson, Matan Sela, Roy Or-El, Ron Kimmel:
Learning Detailed Face Reconstruction from a Single Image. 5553-5562 - Jie Song, Limin Wang, Luc Van Gool, Otmar Hilliges:
Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos. 5563-5572 - Federica Bogo, Javier Romero, Gerard Pons-Moll, Michael J. Black:
Dynamic FAUST: Registering Human Bodies in Motion. 5573-5582 - Armin Mustafa, Adrian Hilton:
Semantically Coherent Co-Segmentation and Reconstruction of Dynamic Scenes. 5583-5592 - Cenek Albl, Zuzana Kukelova, Andrew W. Fitzgibbon, Jan Heller, Matej Smíd, Tomás Pajdla:
On the Two-View Geometry of Unsynchronized Cameras. 5593-5602 - Chen Kong, Chen-Hsuan Lin, Simon Lucey:
Using Locally Corresponding CAD Models for Dense 3D Reconstructions from a Single Image. 5603-5611 - Jesus Briales, Javier González Jiménez:
Convex Global 3D Registration with Lagrangian Duality. 5612-5621 - Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox:
DeMoN: Depth and Motion Network for Learning Monocular Stereo. 5622-5631 - Arsalan Mousavian, Dragomir Anguelov, John Flynn, Jana Kosecka:
3D Bounding Box Estimation Using Deep Learning and Geometry. 5632-5640 - Xun Sun, Yuanfan Xie, Pei Luo, Liang Wang:
A Dataset for Benchmarking Image-Based Localization. 5641-5649 - Gunnar A. Sigurdsson, Santosh Kumar Divvala, Ali Farhadi, Abhinav Gupta:
Asynchronous Temporal Fields for Action Recognition. 5650-5659 - Yao Li, Guosheng Lin, Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Sequential Person Recognition in Photo Albums with a Recurrent Network. 5660-5668 - Xiao Chu, Wei Yang, Wanli Ouyang, Cheng Ma, Alan L. Yuille, Xiaogang Wang:
Multi-context Attention for Human Pose Estimation. 5669-5678 - Liuhao Ge, Hui Liang, Junsong Yuan, Daniel Thalmann:
3D Convolutional Neural Networks for Efficient and Robust Hand Pose Estimation from Single Depth Images. 5679-5688 - Denis Tomè, Chris Russell, Lourdes Agapito:
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image. 5689-5698 - Amlan Kar, Nishant Rai, Karan Sikka, Gaurav Sharma:
AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks for Human Action Recognition in Videos. 5699-5708 - Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic, Björn W. Schuller, Maja Pantic:
Deep Structured Learning for Facial Action Unit Intensity Estimation. 5709-5718 - Yue Wu, Chao Gou, Qiang Ji:
Simultaneous Facial Landmark Detection, Pose and Deformation Estimation Under Facial Occlusion. 5719-5728 - Basura Fernando, Hakan Bilen, Efstratios Gavves, Stephen Gould:
Self-Supervised Video Representation Learning with Odd-One-Out Networks. 5729-5738 - Christos Sagonas, Yannis Panagakis, Alina Leidinger, Stefanos Zafeiriou:
Robust Joint and Individual Variance Explained. 5739-5748 - Wen Wang, Ruiping Wang, Shiguang Shan, Xilin Chen:
Discriminative Covariance Oriented Representation Learning for Face Recognition with Image Sets. 5749-5758 - Ching-Hang Chen, Deva Ramanan:
3D Human Pose Estimation = 2D Pose Estimation + Matching. 5759-5767 - Kazuma Sasaki, Satoshi Iizuka, Edgar Simo-Serra, Hiroshi Ishikawa:
Joint Gap Detection and Inpainting of Line Drawings. 5768-5776 - Hyunwoo J. Kim, Nagesh Adluru, Heemanshu Suri, Baba C. Vemuri, Sterling C. Johnson, Vikas Singh:
Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging. 5777-5786 - Yawen Huang, Ling Shao, Alejandro F. Frangi:
Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images Using Weakly-Supervised Joint Convolutional Sparse Coding. 5787-5796 - Aviad Levis, Yoav Y. Schechner, Anthony B. Davis:
Multiple-Scattering Microphysics Tomography. 5797-5806 - Jia Xu, René Ranftl, Vladlen Koltun:
Accurate Optical Flow via Direct Cost Volume Processing. 5807-5815 - Alex Zihao Zhu, Nikolay Atanasov, Kostas Daniilidis:
Event-Based Visual Inertial Odometry. 5816-5824 - Le Zhang, Jagannadan Varadarajan, Ponnuthurai Nagaratnam Suganthan, Narendra Ahuja, Pierre Moulin:
Robust Visual Tracking Using Oblique Random Forests. 5825-5834 - Wei-Sheng Lai, Jia-Bin Huang, Narendra Ahuja, Ming-Hsuan Yang:
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution. 5835-5843 - Jian Shi, Yue Dong, Hao Su, Stella X. Yu:
Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories. 5844-5853 - Emilio J. Almazan, Ron Tal, Yiming Qian, James H. Elder:
MCMLSD: A Dynamic Programming Approach to Line Segment Detection. 5854-5862 - Se-Ho Lee, Won-Dong Jang, Chang-Su Kim:
Contour-Constrained Superpixels for Image and Video Processing. 5863-5871 - Yun Liu, Ming-Ming Cheng, Xiaowei Hu, Kai Wang, Xiang Bai:
Richer Convolutional Features for Edge Detection. 5872-5881 - Stamatios Lefkimmiatis:
Non-local Color Image Denoising with Convolutional Neural Networks. 5882-5891 - Yijun Li, Sifei Liu, Jimei Yang, Ming-Hsuan Yang:
Generative Face Completion. 5892-5900 - Yi Chang, Luxin Yan, Sheng Zhong:
Hyper-Laplacian Regularized Unidirectional Low-Rank Tensor Recovery for Multispectral Image Denoising. 5901-5909 - Maggie B. Wigness, John G. Rogers III:
Unsupervised Semantic Scene Labeling for Streaming Data. 5910-5919 - Rang Ho Man Nguyen, Michael S. Brown:
Why You Should Forget Luminance Conversion and Do Something Better. 5920-5928 - Nikolai Ufer, Björn Ommer:
Deep Semantic Feature Matching. 5929-5938 - Je Hyeong Hong, Christopher Zach, Andrew W. Fitzgibbon:
Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems. 5939-5947 - Marc T. Law, Yaoliang Yu, Raquel Urtasun, Richard S. Zemel, Eric P. Xing:
Efficient Multiple Instance Metric Learning Using Weakly Supervised Data. 5948-5956 - Thibaut Durand, Taylor Mordan, Nicolas Thome, Matthieu Cord:
WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation. 5957-5966 - Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros:
Image-to-Image Translation with Conditional Adversarial Networks. 5967-5976 - Yani Ioannou, Duncan P. Robertson, Roberto Cipolla, Antonio Criminisi:
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups. 5977-5986 - Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He:
Aggregated Residual Transformations for Deep Neural Networks. 5987-5995 - Hao Yang, Joey Tianyi Zhou, Jianfei Cai, Yew-Soon Ong:
MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks with Privileged Information. 5996-6004 - Zhengming Ding, Ming Shao, Yun Fu:
Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning. 6005-6013 - Zhiwei Deng, Rajitha Navarathna, Peter Carr, Stephan Mandt, Yisong Yue, Iain A. Matthews, Greg Mori:
Factorized Variational Autoencoders for Modeling Audience Reactions to Movies. 6014-6023 - Deepak Pathak, Ross B. Girshick, Piotr Dollár, Trevor Darrell, Bharath Hariharan:
Learning Features by Watching Objects Move. 6024-6033 - Jiayuan Mao, Tete Xiao, Yuning Jiang, Zhimin Cao:
What Can Help Pedestrian Detection? 6034-6043 - Rodrigo Santa Cruz, Basura Fernando, Anoop Cherian, Stephen Gould:
DeepPermNet: Visual Permutation Learning. 6044-6052 - Mengjiao Wang, Yannis Panagakis, Patrick Snape, Stefanos Zafeiriou:
Learning the Multilinear Structure of Visual Data. 6053-6061 - Lena Gorelick, Yuri Boykov, Olga Veksler:
Adaptive and Move Making Auxiliary Cuts for Binary Pairwise Energies. 6062-6070 - Tien-Ju Yang, Yu-Hsin Chen, Vivienne Sze:
Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning. 6071-6079 - Fangting Xia, Peng Wang, Xianjie Chen, Alan L. Yuille:
Joint Multi-person Pose Estimation and Semantic Part Segmentation. 6080-6089 - Paul Upchurch, Jacob R. Gardner, Geoff Pleiss, Robert Pless, Noah Snavely, Kavita Bala, Kilian Q. Weinberger:
Deep Feature Interpolation for Image Content Changes. 6090-6099 - Xiyang Dai, Joe Yue-Hei Ng, Larry S. Davis:
FASON: First and Second Order Information Fusion Network for Texture Recognition. 6100-6108 - Steve Branson, Grant Van Horn, Pietro Perona:
Lean Crowdsourcing: Combining Humans and Machines in an Online System. 6109-6118 - Youngjae Yu, Jongwook Choi, Yeonhwa Kim, Kyung Yoo, Sang-Hun Lee, Gunhee Kim:
Supervising Neural Attention Models for Video Captioning by Human Gaze Data. 6119-6127 - Yurun Tian, Bin Fan, Fuchao Wu:
L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space. 6128-6136 - Gedas Bertasius, Lorenzo Torresani, Stella X. Yu, Jianbo Shi:
Convolutional Random Walk Networks for Semantic Image Segmentation. 6137-6145 - Yuke Zhu, Joseph J. Lim, Li Fei-Fei:
Knowledge Acquisition for Visual Question Answering via Iterative Querying. 6146-6155 - Bo Zhao, Jiashi Feng, Xiao Wu, Shuicheng Yan:
Memory-Augmented Attribute Manipulation Networks for Interactive Fashion Search. 6156-6164 - Yang Long, Li Liu, Ling Shao, Fumin Shen, Guiguang Ding, Jungong Han:
From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis. 6165-6174 - Torsten Sattler, Akihiko Torii, Josef Sivic, Marc Pollefeys, Hajime Taira, Masatoshi Okutomi, Tomás Pajdla:
Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization? 6175-6184 - Giorgos Tolias, Ondrej Chum:
Asymmetric Feature Maps with Application to Sketch Based Retrieval. 6185-6193 - Baoyuan Wu, Fan Jia, Wei Liu, Bernard Ghanem:
Diverse Image Annotation. 6194-6202 - Kan Chen, Trung Bui, Chen Fang, Zhaowen Wang, Ram Nevatia:
AMC: Attention Guided Multi-modal Correlation Learning for Image Search. 6203-6211 - Peng Wang, Lingqiao Liu, Chunhua Shen, Zi Huang, Anton van den Hengel, Heng Tao Shen:
Multi-attention Network for One Shot Learning. 6212-6220 - Weixiang Hong, Junsong Yuan, Sreyasee Das Bhattacharjee:
Fried Binary Embedding for High-Dimensional Visual Features. 6221-6229 - Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, Jiaya Jia:
Pyramid Scene Parsing Network. 6230-6239 - Haoliang Sun, Xiantong Zhen, Yuanjie Zheng, Gongping Yang, Yilong Yin, Shuo Li:
Learning Deep Match Kernels for Image-Set Classification. 6240-6249 - Xishan Zhang, Ke Gao, Yongdong Zhang, Dongming Zhang, Jintao Li, Qi Tian:
Task-Driven Dynamic Fusion: Reducing Ambiguity in Video Description. 6250-6258 - Haomiao Liu, Ruiping Wang, Shiguang Shan, Xilin Chen:
Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks. 6259-6268 - Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu:
Indoor Scene Parsing with Instance Segmentation, Semantic Labeling and Support Relationship Inference. 6269-6277 - Abrar H. Abdulnabi, Bing Shuai, Stefan Winkler, Gang Wang:
Episodic CAMN: Contextual Attention-Based Memory Networks with Iterative Feedback for Scene Labeling. 6278-6287 - Mohamed Elhoseiny, Yizhe Zhu, Han Zhang, Ahmed M. Elgammal:
Link the Head to the "Beak": Zero Shot Learning from Noisy Text Description at Part Precision. 6288-6297 - Long Chen, Hanwang Zhang, Jun Xiao, Liqiang Nie, Jian Shao, Wei Liu, Tat-Seng Chua:
SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning. 6298-6306 - Dongyoon Han, Jiwhan Kim, Junmo Kim:
Deep Pyramidal Residual Networks. 6307-6315 - Artem Babenko, Victor S. Lempitsky:
Product Split Trees. 6316-6324 - Yash Goyal, Tejas Khot, Douglas Summers-Stay, Dhruv Batra, Devi Parikh:
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering. 6325-6334 - Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi:
Commonly Uncommon: Semantic Sparsity in Situation Recognition. 6335-6344 - Hong Liu, Rongrong Ji, Yongjian Wu, Feiyue Huang, Baochang Zhang:
Cross-Modality Binary Code Learning via Fusion Similarity Hashing. 6345-6353 - Hamed R. Tavakoli, Fawad Ahmed, Ali Borji, Jorma Laaksonen:
Saliency Revisited: Analysis of Mouse Movements Versus Fixations. 6354-6362 - Shay Zweig, Lior Wolf:
InterpoNet, a Brain Inspired Neural Network for Optical Flow Dense Interpolation. 6363-6372 - Shyamal Buch, Victor Escorcia, Chuanqi Shen, Bernard Ghanem, Juan Carlos Niebles:
SST: Single-Stream Temporal Action Proposals. 6373-6382 - Rui Yang, Bingbing Ni, Chao Ma, Yi Xu, Xiaokang Yang:
Video Segmentation via Multiple Granularity Analysis. 6383-6392 - Seyed Morteza Safdarnejad, Xiaoming Liu:
Spatio-Temporal Alignment of Non-overlapping Sequences from Independently Panning Cameras. 6393-6401 - Limin Wang, Yuanjun Xiong, Dahua Lin, Luc Van Gool:
UntrimmedNets for Weakly Supervised Action Recognition and Detection. 6402-6411 - Nour Karessli, Zeynep Akata, Bernt Schiele, Andreas Bulling:
Gaze Embeddings for Zero-Shot Image Classification. 6412-6421 - Siddha Ganju, Olga Russakovsky, Abhinav Gupta:
What's in a Question: Using Visual Questions as a Form of Supervision. 6422-6431 - Cesc Chunseong Park, Byeongchang Kim, Gunhee Kim:
Attend to You: Personalized Image Captioning with Context Sequence Memory Networks. 6432-6440 - V. S. R. Veeravasarapu, Constantin A. Rothkopf, Visvanathan Ramesh:
Adversarially Tuned Scene Generation. 6441-6449 - Fei Wang, Mengqing Jiang, Chen Qian, Shuo Yang, Cheng Li, Honggang Zhang, Xiaogang Wang, Xiaoou Tang:
Residual Attention Network for Image Classification. 6450-6458 - Xiaoxiao Li, Ziwei Liu, Ping Luo, Chen Change Loy, Xiaoou Tang:
Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade. 6459-6468 - Jan Hendrik Hosang, Rodrigo Benenson, Bernt Schiele:
Learning Non-maximum Suppression. 6469-6477 - Mohit Iyyer, Varun Manjunatha, Anupam Guha, Yogarshi Vyas, Jordan L. Boyd-Graber, Hal Daumé III, Larry S. Davis:
The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives. 6478-6487 - Yunchao Wei, Jiashi Feng, Xiaodan Liang, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan:
Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach. 6488-6496 - Michael Lam, Behrooz Mahasseni, Sinisa Todorovic:
Fine-Grained Recognition as HSnet Search for Informative Image Parts. 6497-6506 - Qilong Wang, Peihua Li, Lei Zhang:
G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition. 6507-6516 - Joseph Redmon, Ali Farhadi:
YOLO9000: Better, Faster, Stronger. 6517-6525 - Xiaozhi Chen, Huimin Ma, Ji Wan, Bo Li, Tian Xia:
Multi-view 3D Object Detection Network for Autonomous Driving. 6526-6534 - Sean Ryan Fanello, Julien P. C. Valentin, Christoph Rhemann, Adarsh Kowdle, Vladimir Tankovich, Philip Davidson, Shahram Izadi:
UltraStereo: Efficient Learning-Based Matching for Active Stereo Systems. 6535-6544 - Angela Dai, Charles Ruizhongtai Qi, Matthias Nießner:
Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis. 6545-6554 - Alex Kendall, Roberto Cipolla:
Geometric Loss Functions for Camera Pose Regression with Deep Learning. 6555-6564 - Keisuke Tateno, Federico Tombari, Iro Laina, Nassir Navab:
CNN-SLAM: Real-Time Dense Monocular SLAM with Learned Depth Prediction. 6565-6574 - Andreas Veit, Neil Alldrin, Gal Chechik, Ivan Krasin, Abhinav Gupta, Serge J. Belongie:
Learning from Noisy Large-Scale Datasets with Minimal Supervision. 6575-6583 - Li Yi, Hao Su, Xingwen Guo, Leonidas J. Guibas:
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation. 6584-6592 - Zhiming Luo, Akshaya Kumar Mishra, Andrew Achkar, Justin A. Eichel, Shaozi Li, Pierre-Marc Jodoin:
Non-local Deep Features for Salient Object Detection. 6593-6601 - Clément Godard, Oisin Mac Aodha, Gabriel J. Brostow:
Unsupervised Monocular Depth Estimation with Left-Right Consistency. 6602-6611 - Tinghui Zhou, Matthew Brown, Noah Snavely, David G. Lowe:
Unsupervised Learning of Depth and Ego-Motion from Video. 6612-6619 - Gernot Riegler, Ali Osman Ulusoy, Andreas Geiger:
OctNet: Learning Deep 3D Representations at High Resolutions. 6620-6629 - Evangelos Kalogerakis, Melinos Averkiou, Subhransu Maji, Siddhartha Chaudhuri:
3D Shape Segmentation with Projective Convolutional Networks. 6630-6639 - Akihito Seki, Marc Pollefeys:
SGM-Nets: Semi-Global Matching with Neural Networks. 6640-6649 - Yiming Qian, Minglun Gong, Yee-Hong Yang:
Stereo-Based 3D Reconstruction of Dynamic Fluid Surfaces by Global Optimization. 6650-6659 - Maciej Halber, Thomas A. Funkhouser:
Fine-to-Coarse Global Registration of RGB-D Scans. 6660-6669 - Oliver Zendel, Katrin Honauer, Markus Murschitz, Martin Humenberger, Gustavo Fernández Domínguez:
Analyzing Computer Vision Data - The Good, the Bad and the Ugly. 6670-6680 - Matthias Vestner, Roee Litman, Emanuele Rodolà, Alexander M. Bronstein, Daniel Cremers:
Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space. 6681-6690 - Michel Antunes, João P. Barreto, Djamila Aouada, Björn E. Ottersten:
Unsupervised Vanishing Point Detection and Camera Calibration from a Single Manhattan Image with Radial Distortion. 6691-6699 - Federico Camposeco, Torsten Sattler, Andrea Cohen, Andreas Geiger, Marc Pollefeys:
Toroidal Constraints for Two-Point Localization Under High Outlier Ratios. 6700-6708 - Hao Zhu, Qi Zhang, Qing Wang:
4D Light Field Superpixel and Segmentation. 6709-6717 - Yuan Gao, Alan L. Yuille:
Exploiting Symmetry and/or Manhattan Properties for 3D Object Structure Estimation from Single and Multiple Images. 6718-6727 - Jie Qin, Li Liu, Ling Shao, Bingbing Ni, Chen Chen, Fumin Shen, Yunhong Wang:
Binary Coding for Partial Action Analysis with Limited Observation Ratios. 6728-6737 - Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song:
SphereFace: Deep Hypersphere Embedding for Face Recognition. 6738-6746 - Hugo Proença, João C. Neves:
IRINA: Iris Recognition (Even) in Inaccurately Segmented Data. 6747-6756 - Ke Gong, Xiaodan Liang, Dongyu Zhang, Xiaohui Shen, Liang Lin:
Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing. 6757-6765 - Wei Li, Farnaz Abtahi, Zhigang Zhu:
Action Unit Detection with Region Adaptation, Multi-labeling Learning and Optimal Temporal Fusing. 6766-6775 - Zhen Zhou, Yan Huang, Wei Wang, Liang Wang, Tieniu Tan:
See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-identification. 6776-6785 - Yasushi Makihara, Atsuyuki Suzuki, Daigo Muramatsu, Xiang Li, Yasushi Yagi:
Joint Intensity and Spatial Metric Learning for Robust Gait Recognition. 6786-6796 - Vijay Kumar, Anoop M. Namboodiri, Manohar Paluri, C. V. Jawahar:
Pose-Aware Person Recognition. 6797-6806 - José Lezama, Qiang Qiu, Guillermo Sapiro:
Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding. 6807-6816 - Katsuyuki Nakamura, Serena Yeung, Alexandre Alahi, Li Fei-Fei:
Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals. 6817-6826 - Wei Zhang, Xiaochun Cao, Rui Wang, Yuanfang Guo, Zhineng Chen:
Binarized Mode Seeking for Scalable Visual Pattern Discovery. 6827-6835 - Patsorn Sangkloy, Jingwan Lu, Chen Fang, Fisher Yu, James Hays:
Scribbler: Controlling Deep Image Synthesis with Sketch and Color. 6836-6845 - Lifang He, Chun-Ta Lu, Hao Ding, Shen Wang, Linlin Shen, Philip S. Yu, Ann B. Ragin:
Multi-way Multi-level Kernel Modeling for Neuroimaging Classification. 6846-6854 - Xinliang Zhu, Jiawen Yao, Feiyun Zhu, Junzhou Huang:
WSISA: Making Survival Prediction from Whole Slide Histopathological Images. 6855-6863 - Tali Dekel, Michael Rubinstein, Ce Liu, William T. Freeman:
On the Effectiveness of Visible Watermarks. 6864-6872 - Zhiwei Xiong, Lizhi Wang, Huiqun Li, Dong Liu, Feng Wu:
Snapshot Hyperspectral Light Field Imaging. 6873-6881 - Raymond A. Yeh, Chen Chen, Teck-Yian Lim, Alexander G. Schwing, Mark Hasegawa-Johnson, Minh N. Do:
Semantic Image Inpainting with Deep Generative Models. 6882-6890 - Tatsunori Taniai, Sudipta N. Sinha, Yoichi Sato:
Fast Multi-frame Stereo Scene Flow with Motion Segmentation. 6891-6900 - Amit Shaked, Lior Wolf:
Improved Stereo Matching with Constant Highway Networks and Reflective Confidence Learning. 6901-6910 - Jonas Wulff, Laura Sevilla-Lara, Michael J. Black:
Optical Flow in Mostly Rigid Scenes. 6911-6920 - Tal Schuster, Lior Wolf, David Gadot:
Optical Flow Requires Multiple Strategies (but Only One Network). 6921-6930 - Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg:
ECO: Efficient Convolution Operators for Tracking. 6931-6939 - Jia Xue, Hang Zhang, Kristin J. Dana, Ko Nishino:
Differential Angular Imaging for Material Recognition. 6940-6949 - Jonathan T. Barron, Yun-Ta Tsai:
Fast Fourier Color Constancy. 6950-6958 - Johannes L. Schönberger, Hans Hardmeier, Torsten Sattler, Marc Pollefeys:
Comparative Evaluation of Hand-Crafted and Learned Local Features. 6959-6968 - Jiawei Zhang, Jin-shan Pan, Wei-Sheng Lai, Rynson W. H. Lau, Ming-Hsuan Yang:
Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution. 6969-6977 - Yanyang Yan, Wenqi Ren, Yuanfang Guo, Rui Wang, Xiaochun Cao:
Image Deblurring via Extreme Channels Prior. 6978-6986 - Liyuan Pan, Yuchao Dai, Miaomiao Liu, Fatih Porikli:
Simultaneous Stereo Video Deblurring and Scene Flow Estimation. 6987-6996 - Fujun Luan, Sylvain Paris, Eli Shechtman, Kavita Bala:
Deep Photo Style Transfer. 6997-7005 - Takuhiro Kaneko, Kaoru Hiramatsu, Kunio Kashino:
Generative Attribute Controller with Conditional Filtered Generative Adversarial Networks. 7006-7015 - Jing Zhang, Yang Cao, Shuai Fang, Yu Kang, Chang Wen Chen:
Fast Haze Removal for Nighttime Image Using Maximum Reflectance Prior. 7016-7024 - Shu Kong, Charless C. Fowlkes:
Low-Rank Bilinear Pooling for Fine-Grained Classification. 7025-7034 - Jiajun Wu, Joshua B. Tenenbaum, Pushmeet Kohli:
Neural Scene De-rendering. 7035-7043 - Haozhi Huang, Hao Wang, Wenhan Luo, Lin Ma, Wenhao Jiang, Xiaolong Zhu, Zhifeng Li, Wei Liu:
Real-Time Neural Style Transfer for Videos. 7044-7052 - Shijie Yang, Liang Li, Shuhui Wang, Weigang Zhang, Qingming Huang:
A Graph Regularized Deep Neural Network for Unsupervised Image Representation Learning. 7053-7061 - Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar Kainmüller, Bogdan Savchynskyy:
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching. 7062-7071 - Xiangyu Kong, Bo Xin, Yizhou Wang, Gang Hua:
Collaborative Deep Reinforcement Learning for Joint Object Search. 7072-7081 - Samuel Rota Bulò, Gerhard Neuhold, Peter Kontschieder:
Loss Max-Pooling for Semantic Image Segmentation. 7082-7091 - Dinghuang Ji, Junghyun Kwon, Max McFarland, Silvio Savarese:
Deep View Morphing. 7092-7100 - Zelun Luo, Boya Peng, De-An Huang, Alexandre Alahi, Li Fei-Fei:
Unsupervised Learning of Long-Term Motion Dynamics for Videos. 7101-7110 - Luping Zhou, Lei Wang, Jianjia Zhang, Yinghuan Shi, Yang Gao:
Revisiting Metric Learning for SPD Matrix Based Visual Representation. 7111-7119 - Rahaf Aljundi, Punarjay Chakravarty, Tinne Tuytelaars:
Expert Gate: Lifelong Learning with a Network of Experts. 7120-7129 - Junho Yim, Donggyu Joo, Ji-Hoon Bae, Junmo Kim:
A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning. 7130-7138 - Piotr Koniusz, Yusuf Tas, Fatih Porikli:
Domain Adaptation by Mixture of Alignments of Second-or Higher-Order Scatter Tensors. 7139-7148 - Stéphane Lathuilière, Rémi Juge, Pablo Mesejo, Rafael Muñoz-Salinas, Radu Horaud:
Deep Mixture of Linear Inverse Regressions Applied to Head-Pose Estimation. 7149-7157 - Yang He, Wei-Chen Chiu, Margret Keuper, Mario Fritz:
STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling. 7158-7167 - Daniel E. Worrall, Stephan J. Garbin, Daniyar Turmukhambetov, Gabriel J. Brostow:
Harmonic Networks: Deep Translation and Rotation Equivariance. 7168-7177 - Xin Wang, Geoffrey Oxholm, Da Zhang, Yuan-Fang Wang:
Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer. 7178-7186 - Spyros Gidaris, Nikos Komodakis:
Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise Labeling. 7187-7196 - Eunhyeok Park, Junwhan Ahn, Sungjoo Yoo:
Weighted-Entropy-Based Quantization for Deep Neural Networks. 7197-7205 - Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa:
Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems. 7206-7214 - Qing Sun, Stefan Lee, Dhruv Batra:
Bidirectional Beam Search: Forward-Backward Inference in Neural Sequence Models for Fill-in-the-Blank Image Captioning. 7215-7223 - Hariprasad Kannan, Nikos Komodakis, Nikos Paragios:
Newton-Type Methods for Inference in Higher-Order Markov Random Fields. 7224-7233 - Zheng Xu, Mário A. T. Figueiredo, Xiaoming Yuan, Christoph Studer, Tom Goldstein:
Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation. 7234-7243 - Yikang Li, Wanli Ouyang, Xiaogang Wang, Xiaoou Tang:
ViP-CNN: Visual Phrase Guided Convolutional Neural Network. 7244-7253 - Yan Huang, Wei Wang, Liang Wang:
Instance-Aware Image and Sentence Matching with Selective Multimodal LSTM. 7254-7262 - Rafael S. Rezende, Joaquin Zepeda, Jean Ponce, Francis R. Bach, Patrick Pérez:
Kernel Square-Loss Exemplar Machines for Image Retrieval. 7263-7271 - Saurabh Gupta, James Davidson, Sergey Levine, Rahul Sukthankar, Jitendra Malik:
Cognitive Mapping and Planning for Visual Navigation. 7272-7281 - Anirban Roy, Sinisa Todorovic:
Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation. 7282-7291 - Bo Chen, Pietro Perona:
Seeing into Darkness: Scotopic Visual Recognition. 7292-7301 - Ya-Fang Shih, Yang-Ming Yeh, Yen-Yu Lin, Ming-Fang Weng, Yi-Chang Lu, Yung-Yu Chuang:
Deep Co-occurrence Feature Learning for Visual Object Recognition. 7302-7311 - Santhosh K. Ramakrishnan, Ambar Pal, Gaurav Sharma, Anurag Mittal:
An Empirical Evaluation of Visual Question Answering for Novel Objects. 7312-7321 - Alexander Kirillov, Evgeny Levinkov, Bjoern Andres, Bogdan Savchynskyy, Carsten Rother:
InstanceCut: From Edges to Instances with MultiCut. 7322-7331 - Xiangteng He, Yuxin Peng:
Fine-Grained Image Classification via Combining Vision and Language. 7332-7340 - Quanquan Li, Shengying Jin, Junjie Yan:
Mimicking Very Efficient Network for Object Detection. 7341-7349 - Zhenyang Li, Ran Tao, Efstratios Gavves, Cees G. M. Snoek, Arnold W. M. Smeulders:
Tracking by Natural Language Specification. 7350-7358 - Tegan Maharaj, Nicolas Ballas, Anna Rohrbach, Aaron C. Courville, Christopher Joseph Pal:
A Dataset and Exploration of Models for Understanding Video Data through Fill-in-the-Blank Question-Answering. 7359-7368 - Samaneh Azadi, Jiashi Feng, Trevor Darrell:
Learning Detection with Diverse Proposals. 7369-7377 - Yufei Wang, Zhe Lin, Xiaohui Shen, Scott Cohen, Garrison W. Cottrell:
Skeleton Key: Image Captioning by Skeleton-Attribute Decomposition. 7378-7387 - Arnon Amir, Brian Taba, David J. Berg, Timothy Melano, Jeffrey L. McKinstry, Carmelo di Nolfo, Tapan K. Nayak, Alexander Andreopoulos, Guillaume Garreau, Marcela Mendoza, Jeff Kusnitz, Michael DeBole, Steven K. Esser, Tobi Delbrück, Myron Flickner, Dharmendra S. Modha:
A Low Power, Fully Event-Based Gesture Recognition System. 7388-7397 - Dangwei Li, Xiaotang Chen, Zhang Zhang, Kaiqi Huang:
Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification. 7398-7407 - Minsi Wang, Bingbing Ni, Xiaokang Yang:
Recurrent Modeling of Interaction Context for Collective Activity Recognition. 7408-7416 - Yeong Jun Koh, Chang-Su Kim:
Primary Object Segmentation in Videos Based on Region Augmentation and Reduction. 7417-7425 - Ondrej Miksik, Juan-Manuel Pérez-Rúa, Philip H. S. Torr, Patrick Pérez:
ROAM: A Rich Object Appearance Model with Application to Rotoscoping. 7426-7434 - Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes:
Temporal Residual Networks for Dynamic Scene Recognition. 7435-7444 - Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes:
Spatiotemporal Multiplier Networks for Video Action Recognition. 7445-7454 - Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei:
Learning to Learn from Noisy Web Videos. 7455-7463 - Esteban Real, Jonathon Shlens, Stefano Mazzocchi, Xin Pan, Vincent Vanhoucke:
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video. 7464-7473 - Won-Dong Jang, Chang-Su Kim:
Online Video Object Segmentation via Convolutional Trident Network. 7474-7483
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-02-24 21:19 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
