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ORCIDIEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 44
Volume 44, Number 1, January 2022
- Sven J. Dickinson
:
State of the Journal Editorial. 1-10 - Kyoung Mu Lee:
Editorial. 11-12 - Zhaodong Chen, Lei Deng, Bangyan Wang, Guoqi Li, Yuan Xie:
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks. 13-31 - Benson Shu Yan Lam, Alan Wee-Chung Liew:
A Fast Binary Quadratic Programming Solver Based on Stochastic Neighborhood Search. 32-49 - Shichen Liu, Tianye Li, Weikai Chen, Hao Li:
A General Differentiable Mesh Renderer for Image-Based 3D Reasoning. 50-62 - Xudong Pan, Mi Zhang, Daizong Ding, Min Yang:
A Geometrical Perspective on Image Style Transfer With Adversarial Learning. 63-75 - Siwei Lyu, Yanbo Fan, Yiming Ying, Bao-Gang Hu:
Average Top-k Aggregate Loss for Supervised Learning. 76-86 - Shuyin Xia, Daowan Peng, Deyu Meng, Changqing Zhang, Guoyin Wang, Elisabeth Giem, Wei Wei, Zizhong Chen:
Ball $k$k-Means: Fast Adaptive Clustering With No Bounds. 87-99 - Jianzhong He, Shiliang Zhang, Ming Yang, Yanhu Shan, Tiejun Huang:
BDCN: Bi-Directional Cascade Network for Perceptual Edge Detection. 100-113 - Hiroaki Santo, Masaki Samejima, Yusuke Sugano, Boxin Shi, Yasuyuki Matsushita:
Deep Photometric Stereo Networks for Determining Surface Normal and Reflectances. 114-128 - Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong:
Deep Photometric Stereo for Non-Lambertian Surfaces. 129-142 - Gabriel della Maggiora, Carlos Castillo-Passi, Wenqi Qiu, Shuang Liu, Carlos Milovic, Masaki Sekino, Cristian Tejos, Sergio Uribe, Pablo Irarrazaval:
DeepSPIO: Super Paramagnetic Iron Oxide Particle Quantification Using Deep Learning in Magnetic Resonance Imaging. 143-153 - Guillermo Gallego, Tobi Delbrück, Garrick Orchard, Chiara Bartolozzi, Brian Taba, Andrea Censi, Stefan Leutenegger, Andrew J. Davison, Jörg Conradt, Kostas Daniilidis, Davide Scaramuzza:
Event-Based Vision: A Survey. 154-180 - Erhan Gundogdu, Victor Constantin, Shaifali Parashar, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua:
GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss. 181-195 - Yaqing Ding, Jian Yang, Jean Ponce, Hui Kong:
Homography-Based Minimal-Case Relative Pose Estimation With Known Gravity Direction. 196-210 - Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Improving Generative Adversarial Networks With Local Coordinate Coding. 211-227 - R. T. Pramod, S. P. Arun:
Improving Machine Vision Using Human Perceptual Representations: The Case of Planar Reflection Symmetry for Object Classification. 228-241 - Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu:
Index Networks. 242-255 - Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang:
Joint Camera Spectral Response Selection and Hyperspectral Image Recovery. 256-272 - Linchao Zhu, Yi Yang:
Label Independent Memory for Semi-Supervised Few-Shot Video Classification. 273-285 - Bing Su, Ying Wu:
Learning Meta-Distance for Sequences by Learning a Ground Metric via Virtual Sequence Regression. 286-301 - Yong Li, Jiabei Zeng, Shiguang Shan:
Learning Representations for Facial Actions From Unlabeled Videos. 302-317 - Liang Peng, Yang Yang, Zheng Wang, Zi Huang, Heng Tao Shen:
MRA-Net: Improving VQA Via Multi-Modal Relation Attention Network. 318-329 - Xuelong Li, Han Zhang, Rong Wang, Feiping Nie:
Multiview Clustering: A Scalable and Parameter-Free Bipartite Graph Fusion Method. 330-344 - Ziyuan Zhang, Luan Tran, Feng Liu, Xiaoming Liu:
On Learning Disentangled Representations for Gait Recognition. 345-360 - Himanshu Akolkar, Sio-Hoi Ieng, Ryad Benosman:
Real-Time High Speed Motion Prediction Using Fast Aperture-Robust Event-Driven Visual Flow. 361-372 - Weichen Dai, Yu Zhang, Ping Li, Zheng Fang, Sebastian A. Scherer:
RGB-D SLAM in Dynamic Environments Using Point Correlations. 373-389 - Qi Wang, Xiang He, Xu Jiang, Xuelong Li:
Robust Bi-Stochastic Graph Regularized Matrix Factorization for Data Clustering. 390-403 - Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno, Akira Naruse, Chuan-Sheng Foo, Rio Yokota:
Scalable and Practical Natural Gradient for Large-Scale Deep Learning. 404-415 - Timo Milbich, Karsten Roth, Biagio Brattoli, Björn Ommer:
Sharing Matters for Generalization in Deep Metric Learning. 416-427 - Ue-Hwan Kim, Se-Ho Kim, Jong-Hwan Kim:
SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation. 428-441 - Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim:
Space-Time Memory Networks for Video Object Segmentation With User Guidance. 442-455 - Lei Zhang, Zhenwei He, Yi Yang, Liang Wang, Xinbo Gao:
Tasks Integrated Networks: Joint Detection and Retrieval for Image Search. 456-473 - Jian Zhao, Shuicheng Yan, Jiashi Feng:
Towards Age-Invariant Face Recognition. 474-487 - Junxi Zhu, Spencer Teolis, Nadia Biassou, Amy Tabb, Pierre-Emmanuel Jabin, Orit Lavi:
Tracking the Adaptation and Compensation Processes of Patients' Brain Arterial Network to an Evolving Glioblastoma. 488-501 - Han Xu, Jiayi Ma, Junjun Jiang, Xiaojie Guo, Haibin Ling:
U2Fusion: A Unified Unsupervised Image Fusion Network. 502-518 - Antonio Agudo:
Unsupervised 3D Reconstruction and Grouping of Rigid and Non-Rigid Categories. 519-532 - Chengzhang Zhu, Longbing Cao, Jianping Yin:
Unsupervised Heterogeneous Coupling Learning for Categorical Representation. 533-549 - Zilong Huang, Yunchao Wei, Xinggang Wang, Wenyu Liu, Thomas S. Huang, Humphrey Shi:
AlignSeg: Feature-Aligned Segmentation Networks. 550-557
Volume 44, Number 2, February 2022
- Jingdong Wang, Zhuowen Tu, Jianlong Fu, Nicu Sebe, Serge J. Belongie:
Guest Editorial: Introduction to the Special Section on Fine-Grained Visual Categorization. 560-562 - Jun Yu, Min Tan, Hongyuan Zhang, Yong Rui, Dacheng Tao:
Hierarchical Deep Click Feature Prediction for Fine-Grained Image Recognition. 563-578 - Junwei Han, Xiwen Yao, Gong Cheng, Xiaoxu Feng, Dong Xu:
P-CNN: Part-Based Convolutional Neural Networks for Fine-Grained Visual Categorization. 579-590 - Piotr Koniusz, Hongguang Zhang:
Power Normalizations in Fine-Grained Image, Few-Shot Image and Graph Classification. 591-609 - Si Liu, Guanghui Ren, Yao Sun, Jinqiao Wang, Changhu Wang, Bo Li, Shuicheng Yan:
Fine-Grained Human-Centric Tracklet Segmentation with Single Frame Supervision. 610-621 - Jianing Li, Shiliang Zhang, Qi Tian, Meng Wang, Wen Gao:
Pose-Guided Representation Learning for Person Re-Identification. 622-635 - Jinhui Tang, Xiangbo Shu, Rui Yan, Liyan Zhang:
Coherence Constrained Graph LSTM for Group Activity Recognition. 636-647 - Piotr Koniusz, Lei Wang, Anoop Cherian:
Tensor Representations for Action Recognition. 648-665 - Yichao Yan, Ning Zhuang, Bingbing Ni, Jian Zhang, Minghao Xu, Qiang Zhang, Zheng Zhang, Shuo Cheng, Qi Tian, Yi Xu, Xiaokang Yang, Wenjun Zhang:
Fine-Grained Video Captioning via Graph-based Multi-Granularity Interaction Learning. 666-683 - Richang Hong, Daqing Liu, Xiaoyu Mo, Xiangnan He, Hanwang Zhang:
Learning to Compose and Reason with Language Tree Structures for Visual Grounding. 684-696 - Yiyi Zhou, Rongrong Ji, Xiaoshuai Sun, Jinsong Su, Deyu Meng, Yue Gao, Chunhua Shen:
Plenty is Plague: Fine-Grained Learning for Visual Question Answering. 697-709 - Zheng-Jun Zha, Daqing Liu, Hanwang Zhang, Yongdong Zhang, Feng Wu:
Context-Aware Visual Policy Network for Fine-Grained Image Captioning. 710-722 - Stefanos Zafeiriou, Michael M. Bronstein, Taco Cohen, Oriol Vinyals, Le Song, Jure Leskovec, Pietro Liò, Joan Bruna, Marco Gori:
Guest Editorial: Non-Euclidean Machine Learning. 723-726 - Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini:
Deep Constraint-Based Propagation in Graph Neural Networks. 727-739 - Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W. Tsang:
Learning on Attribute-Missing Graphs. 740-757 - Giorgio Ciano, Alberto Rossi, Monica Bianchini, Franco Scarselli:
On Inductive-Transductive Learning With Graph Neural Networks. 758-769 - Shupeng Gui, Xiangliang Zhang, Pan Zhong, Shuang Qiu, Mingrui Wu, Jieping Ye, Zhengdao Wang, Ji Liu:
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions. 770-782 - Lu Bai, Lixin Cui, Yuhang Jiao, Luca Rossi, Edwin R. Hancock:
Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification. 783-798 - Rudrasis Chakraborty, Jose Bouza, Jonathan H. Manton, Baba C. Vemuri:
ManifoldNet: A Deep Neural Network for Manifold-Valued Data With Applications. 799-810 - Stefan Sommer, Alex M. Bronstein:
Horizontal Flows and Manifold Stochastics in Geometric Deep Learning. 811-822 - Monami Banerjee, Rudrasis Chakraborty, Jose Bouza, Baba C. Vemuri:
VolterraNet: A Higher Order Convolutional Network With Group Equivariance for Homogeneous Manifolds. 823-833 - Yeonkun Lee, Jaeseok Jeong, Jongseob Yun, Wonjune Cho, Kuk-Jin Yoon:
SpherePHD: Applying CNNs on 360${}^\circ$∘ Images With Non-Euclidean Spherical PolyHeDron Representation. 834-847 - Naima Otberdout, Mohamed Daoudi, Anis Kacem, Lahoucine Ballihi, Stefano Berretti:
Dynamic Facial Expression Generation on Hilbert Hypersphere With Conditional Wasserstein Generative Adversarial Nets. 848-863 - Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Learnable Pooling in Graph Convolutional Networks for Brain Surface Analysis. 864-876 - Tuan Q. Dinh, Yunyang Xiong, Zhichun Huang, Tien Vo, Akshay Mishra, Won Hwa Kim, Sathya N. Ravi, Vikas Singh:
Performing Group Difference Testing on Graph Structured Data From GANs: Analysis and Applications in Neuroimaging. 877-889 - Lei-Hong Zhang, Li Wang, Zhaojun Bai, Ren-Cang Li:
A Self-Consistent-Field Iteration for Orthogonal Canonical Correlation Analysis. 890-904 - Mohamed A. Helala, Faisal Z. Qureshi, Ken Q. Pu:
A Stream Algebra for Performance Optimization of Large Scale Computer Vision Pipelines. 905-923 - Mang Ye, Jianbing Shen, Xu Zhang, Pong C. Yuen, Shih-Fu Chang:
Augmentation Invariant and Instance Spreading Feature for Softmax Embedding. 924-939 - Fei Xue, Xin Wang, Junqiu Wang, Hongbin Zha:
Deep Visual Odometry With Adaptive Memory. 940-954 - Chang Tang, Xinwang Liu, Xiao Zheng, Wanqing Li, Jian Xiong, Lizhe Wang, Albert Y. Zomaya, Antonella Longo:
DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Discriminative Multi-Scale Deep Features. 955-968 - Xiaojuan Qi, Zhengzhe Liu, Renjie Liao, Philip H. S. Torr, Raquel Urtasun, Jiaya Jia:
GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation. 969-984 - Xiang Ming, Fangyun Wei, Ting Zhang, Dong Chen, Nanning Zheng, Fang Wen:
Group Sampling for Scale Invariant Face Detection. 985-1001 - Jian Liang, Ziqi Liu, Jiayu Zhou, Xiaoqian Jiang, Changshui Zhang, Fei Wang:
Model-Protected Multi-Task Learning. 1002-1019 - Ignacio Rocco, Mircea Cimpoi, Relja Arandjelovic, Akihiko Torii, Tomás Pajdla, Josef Sivic:
NCNet: Neighbourhood Consensus Networks for Estimating Image Correspondences. 1020-1034 - Qingzhong Wang, Jia Wan, Antoni B. Chan:
On Diversity in Image Captioning: Metrics and Methods. 1035-1049 - Zhuotao Tian, Hengshuang Zhao, Michelle Shu, Zhicheng Yang, Ruiyu Li, Jiaya Jia:
Prior Guided Feature Enrichment Network for Few-Shot Segmentation. 1050-1065 - Minh Vo, Yaser Sheikh, Srinivasa G. Narasimhan:
Spatiotemporal Bundle Adjustment for Dynamic 3D Human Reconstruction in the Wild. 1066-1080 - Feiping Nie, Danyang Wu, Rong Wang, Xuelong Li:
Truncated Robust Principle Component Analysis With A General Optimization Framework. 1081-1097 - Ali Mousavi, Richard G. Baraniuk:
Uniform Partitioning of Data Grid for Association Detection. 1098-1107 - Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee:
YOLACT++ Better Real-Time Instance Segmentation. 1108-1121 - Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita:
Erratum to "Deep Back-Projection Networks for Single Image Super-Resolution". 1122
Volume 44, Number 3, March 2022
- Weinan E, Yajun Zhou:
A Mathematical Model for Universal Semantics. 1124-1132 - Hongbin Pei, Bo Yang, Jiming Liu, Kevin Chen-Chuan Chang:
Active Surveillance via Group Sparse Bayesian Learning. 1133-1148 - Oliver Eberle, Jochen Büttner, Florian Kräutli, Klaus-Robert Müller, Matteo Valleriani, Grégoire Montavon:
Building and Interpreting Deep Similarity Models. 1149-1161 - Xianglei Xing, Ruiqi Gao, Tian Han, Song-Chun Zhu, Ying Nian Wu:
Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry. 1162-1179 - Mohamed Ali Souibgui, Yousri Kessentini:
DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement. 1180-1191 - Saeed Anwar, Nick Barnes:
Densely Residual Laplacian Super-Resolution. 1192-1204 - Jia Xue, Hang Zhang, Ko Nishino, Kristin J. Dana:
Differential Viewpoints for Ground Terrain Material Recognition. 1205-1218 - Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi, Manuel López-Antequera, Peter Kontschieder:
Disentangling Monocular 3D Object Detection: From Single to Multi-Class Recognition. 1219-1231 - Vassilis N. Ioannidis, Siheng Chen, Georgios B. Giannakis:
Efficient and Stable Graph Scattering Transforms via Pruning. 1232-1246 - Haichuan Ma, Dong Liu, Ning Yan, Houqiang Li, Feng Wu:
End-to-End Optimized Versatile Image Compression With Wavelet-Like Transform. 1247-1263 - John E. Ortega, Mikel L. Forcada, Felipe Sánchez-Martínez:
Fuzzy-Match Repair Guided by Quality Estimation. 1264-1277 - Mohammad Kachuee, Kimmo Kärkkäinen, Orpaz Goldstein, Sajad Darabi, Majid Sarrafzadeh:
Generative Imputation and Stochastic Prediction. 1278-1288 - Haoliang Li, Shiqi Wang, Renjie Wan, Alex C. Kot:
GMFAD: Towards Generalized Visual Recognition via Multilayer Feature Alignment and Disentanglement. 1289-1303 - Hui Zeng, Lida Li, Zisheng Cao, Lei Zhang:
Grid Anchor Based Image Cropping: A New Benchmark and An Efficient Model. 1304-1319 - Tam Nguyen, Raviv Raich:
Incomplete Label Multiple Instance Multiple Label Learning. 1320-1337 - Son T. Mai, Jon Jacobsen, Sihem Amer-Yahia, Ivor T. A. Spence, Nhat-Phuong Tran, Ira Assent, Quoc Viet Hung Nguyen:
Incremental Density-Based Clustering on Multicore Processors. 1338-1356 - Jia Wan, Qingzhong Wang, Antoni B. Chan:
Kernel-Based Density Map Generation for Dense Object Counting. 1357-1370 - Tianshui Chen, Liang Lin, Riquan Chen, Xiaolu Hui, Hefeng Wu:
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition. 1371-1384 - Zhiyuan Dang, Xiang Li, Bin Gu, Cheng Deng, Heng Huang:
Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients. 1385-1398 - Junghyup Lee, Dohyung Kim, Wonkyung Lee, Jean Ponce, Bumsub Ham:
Learning Semantic Correspondence Exploiting an Object-Level Prior. 1399-1414 - Yun Liu, Yu-Huan Wu, Peisong Wen, Yujun Shi, Yu Qiu, Ming-Ming Cheng:
Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation. 1415-1428 - Hai Ci, Xiaoxuan Ma, Chunyu Wang, Yizhou Wang:
Locally Connected Network for Monocular 3D Human Pose Estimation. 1429-1442 - Qianru Sun, Yaoyao Liu, Zhaozheng Chen, Tat-Seng Chua, Bernt Schiele:
Meta-Transfer Learning Through Hard Tasks. 1443-1456 - Qi Xie, Minghao Zhou, Qian Zhao, Zongben Xu, Deyu Meng:
MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion. 1457-1473 - Changxing Ding, Kan Wang, Pengfei Wang, Dacheng Tao:
Multi-Task Learning With Coarse Priors for Robust Part-Aware Person Re-Identification. 1474-1488 - Tianyang Shi, Zhengxia Zou, Zhenwei Shi, Yi Yuan:
Neural Rendering for Game Character Auto-Creation. 1489-1502 - Haoang Li, Ji Zhao, Jean-Charles Bazin, Yun-Hui Liu:
Quasi-Globally Optimal and Near/True Real-Time Vanishing Point Estimation in Manhattan World. 1503-1518 - Lei Han, Siyuan Gu, Dawei Zhong, Shuxue Quan, Lu Fang:
Real-Time Globally Consistent Dense 3D Reconstruction With Online Texturing. 1519-1533 - Pablo Morales-Álvarez, Pablo Ruiz, Scott Coughlin, Rafael Molina, Aggelos K. Katsaggelos:
Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO. 1534-1551 - Tobias Hinz, Stefan Heinrich, Stefan Wermter:
Semantic Object Accuracy for Generative Text-to-Image Synthesis. 1552-1565 - Sung Woo Park, Junseok Kwon:
SphereGAN: Sphere Generative Adversarial Network Based on Geometric Moment Matching and its Applications. 1566-1580 - Hans Pinckaers, Bram van Ginneken, Geert Litjens:
Streaming Convolutional Neural Networks for End-to-End Learning With Multi-Megapixel Images. 1581-1590 - Junyi Feng, Songyuan Li, Xi Li, Fei Wu, Qi Tian, Ming-Hsuan Yang, Haibin Ling:
TapLab: A Fast Framework for Semantic Video Segmentation Tapping Into Compressed-Domain Knowledge. 1591-1603 - Hisham Cholakkal, Guolei Sun, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Luc Van Gool:
Towards Partial Supervision for Generic Object Counting in Natural Scenes. 1604-1622 - René Ranftl, Katrin Lasinger, David Hafner, Konrad Schindler, Vladlen Koltun:
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer. 1623-1637 - Xuejian Rong, Chucai Yi, Yingli Tian:
Unambiguous Text Localization, Retrieval, and Recognition for Cluttered Scenes. 1638-1652 - You-Wei Luo, Chuan-Xian Ren, Dao-Qing Dai, Hong Yan:
Unsupervised Domain Adaptation via Discriminative Manifold Propagation. 1653-1669 - Chaorui Deng, Qi Wu, Qingyao Wu, Fuyuan Hu, Fan Lyu, Mingkui Tan:
Visual Grounding Via Accumulated Attention. 1670-1684
Volume 44, Number 4, April 2022
- Zhe Zhu, Amber Mittendorf, Erin Shropshire, Brian C. Allen, Chad M. Miller, Mustafa R. Bashir, Maciej A. Mazurowski:
3D Pyramid Pooling Network for Abdominal MRI Series Classification. 1688-1698 - Zuxuan Wu, Hengduo Li, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis:
A Dynamic Frame Selection Framework for Fast Video Recognition. 1699-1711 - Paramanand Chandramouli, Kanchana Vaishnavi Gandikota, Andreas Görlitz, Andreas Kolb, Michael Möller:
A Generative Model for Generic Light Field Reconstruction. 1712-1724 - Hongjun Wang, Guanbin Li, Xiaobai Liu, Liang Lin:
A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning. 1725-1737 - Hamid Laga, Laurent Valentin Jospin, Farid Boussaïd, Mohammed Bennamoun:
A Survey on Deep Learning Techniques for Stereo-Based Depth Estimation. 1738-1764 - Qianli Ma, Sen Li, Garrison W. Cottrell:
Adversarial Joint-Learning Recurrent Neural Network for Incomplete Time Series Classification. 1765-1776 - Ji Zhao:
An Efficient Solution to Non-Minimal Case Essential Matrix Estimation. 1777-1792 - Guoliang Kang, Lu Jiang, Yunchao Wei, Yi Yang, Alexander Hauptmann:
Contrastive Adaptation Network for Single- and Multi-Source Domain Adaptation. 1793-1804 - Yazhou Liu, Yuliang Chen, Pongsak Lasang, Quan-Sen Sun:
Covariance Attention for Semantic Segmentation. 1805-1818 - Jing Jin, Junhui Hou, Jie Chen, Huanqiang Zeng, Sam Kwong, Jingyi Yu:
Deep Coarse-to-Fine Dense Light Field Reconstruction With Flexible Sampling and Geometry-Aware Fusion. 1819-1836 - Cong Tran, Won-Yong Shin, Andreas Spitz, Michael Gertz:
${\sf DeepNC}$DeepNC: Deep Generative Network Completion. 1837-1852 - Zhi Han, Siquan Yu, Shao-Bo Lin, Ding-Xuan Zhou:
Depth Selection for Deep ReLU Nets in Feature Extraction and Generalization. 1853-1868 - Ali Akbari, Muhammad Awais, Zhenhua Feng, Ammarah Farooq, Josef Kittler:
Distribution Cognisant Loss for Cross-Database Facial Age Estimation With Sensitivity Analysis. 1869-1887 - Congchao Wang, Yizhi Wang, Guoqiang Yu:
Efficient Global MOT Under Minimum-Cost Circulation Framework. 1888-1904 - Xiangyu Xu, Yongrui Ma, Wenxiu Sun, Ming-Hsuan Yang:
Exploiting Raw Images for Real-Scene Super-Resolution. 1905-1921 - Zhi Tian, Chunhua Shen, Hao Chen, Tong He:
FCOS: A Simple and Strong Anchor-Free Object Detector. 1922-1933 - Salman Siddique Khan, Varun Sundar, Vivek Boominathan, Ashok Veeraraghavan, Kaushik Mitra:
FlatNet: Towards Photorealistic Scene Reconstruction From Lensless Measurements. 1934-1948 - Yinlong Liu, Guang Chen, Alois C. Knoll:
Globally Optimal Vertical Direction Estimation in Atlanta World. 1949-1962 - Xiaoying Song, Li Chai, Jingxin Zhang:
Graph Signal Processing Approach to QSAR/QSPR Model Learning of Compounds. 1963-1973 - Xin Geng, Xin Qian, Zeng-Wei Huo, Yu Zhang:
Head Pose Estimation Based on Multivariate Label Distribution. 1974-1991 - Xu Yang, Cheng Deng, Tongliang Liu, Dacheng Tao:
Heterogeneous Graph Attention Network for Unsupervised Multiple-Target Domain Adaptation. 1992-2003 - Yujun Shen, Ceyuan Yang, Xiaoou Tang, Bolei Zhou:
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs. 2004-2018 - Hao Yuan, Lei Cai, Xia Hu, Jie Wang, Shuiwang Ji:
Interpreting Image Classifiers by Generating Discrete Masks. 2019-2030 - Jun Sun, Tianyi Chen, Georgios B. Giannakis, Qinmin Yang, Zaiyue Yang:
Lazily Aggregated Quantized Gradient Innovation for Communication-Efficient Federated Learning. 2031-2044 - Guo-Jun Qi, Liheng Zhang, Feng Lin, Xiao Wang:
Learning Generalized Transformation Equivariant Representations Via AutoEncoding Transformations. 2045-2057 - Hui Zeng, Jianrui Cai, Lida Li, Zisheng Cao, Lei Zhang:
Learning Image-Adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-Time. 2058-2073 - Carl Toft, Will Maddern, Akihiko Torii, Lars Hammarstrand, Erik Stenborg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys, Josef Sivic, Tomás Pajdla, Fredrik Kahl, Torsten Sattler:
Long-Term Visual Localization Revisited. 2074-2088 - Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao, Hongyan Zhang, Liangpei Zhang:
Non-Local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration. 2089-2107 - Longguang Wang, Yulan Guo, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An:
Parallax Attention for Unsupervised Stereo Correspondence Learning. 2108-2125 - Zhenyu Wu, Haotao Wang, Zhaowen Wang, Hailin Jin, Zhangyang Wang:
Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset. 2126-2139 - Xiang Long, Gerard de Melo, Dongliang He, Fu Li, Zhizhen Chi, Shilei Wen, Chuang Gan:
Purely Attention Based Local Feature Integration for Video Classification. 2140-2154 - Bryan A. Plummer, Kevin J. Shih, Yichen Li, Ke Xu, Svetlana Lazebnik, Stan Sclaroff, Kate Saenko:
Revisiting Image-Language Networks for Open-Ended Phrase Detection. 2155-2167 - Guo-Jun Qi, Jiebo Luo:
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods. 2168-2187 - Sizhe Chen, Zhengbao He, Chengjin Sun, Jie Yang, Xiaolin Huang:
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet. 2188-2197 - Mai Xu, Lai Jiang, Chen Li, Zulin Wang, Xiaoming Tao:
Viewport-Based CNN: A Multi-Task Approach for Assessing 360° Video Quality. 2198-2215 - Andrea Palazzi, Luca Bergamini, Simone Calderara, Rita Cucchiara:
Warp and Learn: Novel Views Generation for Vehicles and Other Objects. 2216-2227 - Xiankai Lu, Wenguan Wang, Jianbing Shen, David Crandall, Jiebo Luo:
Zero-Shot Video Object Segmentation With Co-Attention Siamese Networks. 2228-2242
Volume 44, Number 5, May 2022
- Jonah Ong, Ba-Tuong Vo, Ba-Ngu Vo, Du Yong Kim, Sven Nordholm:
A Bayesian Filter for Multi-View 3D Multi-Object Tracking With Occlusion Handling. 2246-2263 - Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Tao Lu, Jiayi Ma:
A Progressive Fusion Generative Adversarial Network for Realistic and Consistent Video Super-Resolution. 2264-2280 - Xiaowei Gu, Plamen P. Angelov, Ce Zhang, Peter M. Atkinson:
A Semi-Supervised Deep Rule-Based Approach for Complex Satellite Sensor Image Analysis. 2281-2292 - Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai:
A Survey of Single-Scene Video Anomaly Detection. 2293-2312 - Xu Yang, Hanwang Zhang, Jianfei Cai:
Auto-Encoding and Distilling Scene Graphs for Image Captioning. 2313-2327 - Tian Zheng, Guoqing Zhang, Lei Han, Lan Xu, Lu Fang:
BuildingFusion: Semantic-Aware Structural Building-Scale 3D Reconstruction. 2328-2345 - Ashif Sikandar Iquebal, Satish T. S. Bukkapatnam:
Consistent Estimation of the Max-Flow Problem: Towards Unsupervised Image Segmentation. 2346-2357 - Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Qing Yang, Cheng-Lin Liu:
Convolutional Prototype Network for Open Set Recognition. 2358-2370 - Feiping Nie, Jingjing Xue, Danyang Wu, Rong Wang, Hui Li, Xuelong Li:
Coordinate Descent Method for $k$k-means. 2371-2385 - Xiankai Lu, Chao Ma, Jianbing Shen, Xiaokang Yang, Ian Reid, Ming-Hsuan Yang:
Deep Object Tracking With Shrinkage Loss. 2386-2401 - Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, Qinghua Hu:
Deep Partial Multi-View Learning. 2402-2415 - Sachin Mehta, Hannaneh Hajishirzi, Mohammad Rastegari:
DiCENet: Dimension-Wise Convolutions for Efficient Networks. 2416-2425 - Thomas Moreau, Alexandre Gramfort:
DiCoDiLe: Distributed Convolutional Dictionary Learning. 2426-2437 - Chao Zhang, Huaxiong Li, Chunlin Chen, Yuhua Qian, Xianzhong Zhou:
Enhanced Group Sparse Regularized Nonconvex Regression for Face Recognition. 2438-2452 - Mingbao Lin, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao:
Fast Class-Wise Updating for Online Hashing. 2453-2467 - Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu:
Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis. 2468-2484 - Jhony H. Giraldo, Sajid Javed, Thierry Bouwmans:
Graph Moving Object Segmentation. 2485-2503 - Liang Lin, Yiming Gao, Ke Gong, Meng Wang, Xiaodan Liang:
Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer. 2504-2518 - Liyuan Pan, Richard Hartley, Cedric Scheerlinck, Miaomiao Liu, Xin Yu, Yuchao Dai:
High Frame Rate Video Reconstruction Based on an Event Camera. 2519-2533 - Ying-Cong Chen, Jiaya Jia:
Homomorphic Interpolation Network for Unpaired Image-to-Image Translation. 2534-2547 - Yue Gao, Zizhao Zhang, Haojie Lin, Xibin Zhao, Shaoyi Du, Changqing Zou:
Hypergraph Learning: Methods and Practices. 2548-2566 - Keyan Ding, Kede Ma, Shiqi Wang, Eero P. Simoncelli:
Image Quality Assessment: Unifying Structure and Texture Similarity. 2567-2581 - Hong Peng, Yu Hu, Jiazhou Chen, Haiyan Wang, Yang Li, Hongmin Cai:
Integrating Tensor Similarity to Enhance Clustering Performance. 2582-2593 - Vishwanath A. Sindagi, Rajeev Yasarla, Vishal M. Patel:
JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method. 2594-2609 - Hongwen Zhang, Jie Cao, Guo Lu, Wanli Ouyang, Zhenan Sun:
Learning 3D Human Shape and Pose From Dense Body Parts. 2610-2627 - Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji:
Neural Shape Parsers for Constructive Solid Geometry. 2628-2640 - Chaohui Wang, Huan Fu, Dacheng Tao, Michael J. Black:
Occlusion Boundary: A Formal Definition & Its Detection via Deep Exploration of Context. 2641-2656 - Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao:
Optimizing Latent Distributions for Non-Adversarial Generative Networks. 2657-2672 - Dan Xu, Xavier Alameda-Pineda, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe:
Probabilistic Graph Attention Network With Conditional Kernels for Pixel-Wise Prediction. 2673-2688 - Kate Smith-Miles, Xin Geng:
Revisiting Facial Age Estimation With New Insights From Instance Space Analysis. 2689-2697 - Chong You, Chi Li, Daniel P. Robinson, René Vidal:
Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces. 2698-2711 - Wenjie Shi, Gao Huang, Shiji Song, Zhuoyuan Wang, Tingyu Lin, Cheng Wu:
Self-Supervised Discovering of Interpretable Features for Reinforcement Learning. 2712-2724 - Yitian Yuan, Lin Ma, Jingwen Wang, Wei Liu, Wenwu Zhu:
Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos. 2725-2741 - Pu Zhang, Jianru Xue, Pengfei Zhang, Nanning Zheng, Wanli Ouyang:
Social-Aware Pedestrian Trajectory Prediction via States Refinement LSTM. 2742-2759 - Ji Lin, Chuang Gan, Kuan Wang, Song Han:
TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Devices. 2760-2774 - Yabin Zhang, Bin Deng, Hui Tang, Lei Zhang, Kui Jia:
Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice. 2775-2792 - Bin Zhao, Haopeng Li, Xiaoqiang Lu, Xuelong Li:
Reconstructive Sequence-Graph Network for Video Summarization. 2793-2801
Volume 44, Number 6, June 2022
- Sergiu Oprea, Pablo Martinez-Gonzalez, Alberto Garcia-Garcia, John Alejandro Castro-Vargas, Sergio Orts-Escolano, José García Rodríguez, Antonis A. Argyros:
A Review on Deep Learning Techniques for Video Prediction. 2806-2826 - Tianfei Zhou, Siyuan Qi, Wenguan Wang, Jianbing Shen, Song-Chun Zhu:
Cascaded Parsing of Human-Object Interaction Recognition. 2827-2840 - Chen Gong, Jian Yang, Jane You, Masashi Sugiyama:
Centroid Estimation With Guaranteed Efficiency: A General Framework for Weakly Supervised Learning. 2841-2855 - Liangyu Chai, Yongtuo Liu, Wenxi Liu, Guoqiang Han, Shengfeng He:
CrowdGAN: Identity-Free Interactive Crowd Video Generation and Beyond. 2856-2871 - Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, Steven C. H. Hoi:
Deep Learning for Person Re-Identification: A Survey and Outlook. 2872-2893 - Saptarshi Chakraborty, Swagatam Das:
Detecting Meaningful Clusters From High-Dimensional Data: A Strongly Consistent Sparse Center-Based Clustering Approach. 2894-2908 - Weijie Fu, Meng Wang, Mengnan Du, Ninghao Liu, Shijie Hao, Xia Hu:
Differentiated Explanation of Deep Neural Networks With Skewed Distributions. 2909-2922 - Cyprien Gilet, Susana Barbosa, Lionel Fillatre:
Discrete Box-Constrained Minimax Classifier for Uncertain and Imbalanced Class Proportions. 2923-2937 - Chaoyou Fu, Xiang Wu, Yibo Hu, Huaibo Huang, Ran He:
DVG-Face: Dual Variational Generation for Heterogeneous Face Recognition. 2938-2952 - Bingyao Huang, Tao Sun, Haibin Ling:
End-to-End Full Projector Compensation. 2953-2967 - Yan Huang, Jingdong Wang, Liang Wang:
Few-Shot Image and Sentence Matching via Aligned Cross-Modal Memory. 2968-2983 - Yuxin Wen, Jiehong Lin, Ke Chen, C. L. Philip Chen, Kui Jia:
Geometry-Aware Generation of Adversarial Point Clouds. 2984-2999 - Kun Zhou, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu:
HEMlets PoSh: Learning Part-Centric Heatmap Triplets for 3D Human Pose and Shape Estimation. 3000-3014 - Qi Yang, Zhan Ma, Yiling Xu, Zhu Li, Jun Sun:
Inferring Point Cloud Quality via Graph Similarity. 3015-3029 - Xing Xu, Kaiyi Lin, Yang Yang, Alan Hanjalic, Heng Tao Shen:
Joint Feature Synthesis and Embedding: Adversarial Cross-Modal Retrieval Revisited. 3030-3047 - Lin Wang, Kuk-Jin Yoon:
Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks. 3048-3068 - Manuel J. Marín-Jiménez, Vicky Kalogeiton, Pablo Medina-Suarez, Andrew Zisserman:
LAEO-Net++: Revisiting People Looking at Each Other in Videos. 3069-3081 - Ziwei Wang, Jiwen Lu, Ziyi Wu, Jie Zhou:
Learning Efficient Binarized Object Detectors With Information Compression. 3082-3095 - Xiaosong Zhang, Fang Wan, Chang Liu, Xiangyang Ji, Qixiang Ye:
Learning to Match Anchors for Visual Object Detection. 3096-3109 - Jiahui Zhang, Dawei Sun, Zixin Luo, Anbang Yao, Hongkai Chen, Lei Zhou, Tianwei Shen, Yurong Chen, Long Quan, Hongen Liao:
OANet: Learning Two-View Correspondences and Geometry Using Order-Aware Network. 3110-3122 - Bing Su, Jiahuan Zhou, Ji-Rong Wen, Ying Wu:
Linear and Deep Order-Preserving Wasserstein Discriminant Analysis. 3123-3138 - Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation. 3139-3153 - Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang:
Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction. 3154-3169 - Zerong Zheng, Tao Yu, Yebin Liu, Qionghai Dai:
PaMIR: Parametric Model-Conditioned Implicit Representation for Image-Based Human Reconstruction. 3170-3184 - Gerardo Paolillo, Tommaso Astarita:
Perspective Camera Model With Refraction Correction for Optical Velocimetry Measurements in Complex Geometries. 3185-3196 - Ziquan Liu, Lei Yu, Janet H. Hsiao, Antoni B. Chan:
PRIMAL-GMM: PaRametrIc MAnifold Learning of Gaussian Mixture Models. 3197-3211 - Sida Peng, Xiaowei Zhou, Yuan Liu, Haotong Lin, Qixing Huang, Hujun Bao:
PVNet: Pixel-Wise Voting Network for 6DoF Object Pose Estimation. 3212-3223 - Shangqi Gao, Xiahai Zhuang:
Rank-One Network: An Effective Framework for Image Restoration. 3224-3238 - Wenguan Wang, Qiuxia Lai, Huazhu Fu, Jianbing Shen, Haibin Ling, Ruigang Yang:
Salient Object Detection in the Deep Learning Era: An In-Depth Survey. 3239-3259 - Peike Li, Yunqiu Xu, Yunchao Wei, Yi Yang:
Self-Correction for Human Parsing. 3260-3271 - Soumyadip Sengupta, Daniel Lichy, Angjoo Kanazawa, Carlos Domingo Castillo, David W. Jacobs:
SfSNet: Learning Shape, Reflectance and Illuminance of Faces in the Wild. 3272-3284 - Zhuosheng Zhang, Yuwei Wu, Junru Zhou, Sufeng Duan, Hai Zhao, Rui Wang:
SG-Net: Syntax Guided Transformer for Language Representation. 3285-3299 - Xiangbo Shu, Liyan Zhang, Guo-Jun Qi, Wei Liu, Jinhui Tang:
Spatiotemporal Co-Attention Recurrent Neural Networks for Human-Skeleton Motion Prediction. 3300-3315 - Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian:
Symbiotic Graph Neural Networks for 3D Skeleton-Based Human Action Recognition and Motion Prediction. 3316-3333 - Jia Li, Mingqing Xiao, Cong Fang, Yue Dai, Chao Xu, Zhouchen Lin:
Training Neural Networks by Lifted Proximal Operator Machines. 3334-3348 - Dingwen Zhang, Wenyuan Zeng, Jieru Yao, Junwei Han:
Weakly Supervised Object Detection Using Proposal- and Semantic-Level Relationships. 3349-3363
Volume 44, Number 7, July 2022
- Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars:
A Continual Learning Survey: Defying Forgetting in Classification Tasks. 3366-3385 - Jian-Fang Hu, Jiangxin Sun, Zihang Lin, Jian-Huang Lai, Wenjun Zeng, Wei-Shi Zheng:
APANet: Auto-Path Aggregation for Future Instance Segmentation Prediction. 3386-3403 - Ying Fu, Tao Zhang, Lizhi Wang, Hua Huang:
Coded Hyperspectral Image Reconstruction Using Deep External and Internal Learning. 3404-3420 - Jianfeng Wang, Xiaolin Hu:
Convolutional Neural Networks With Gated Recurrent Connections. 3421-3435 - Yanxiang Wang, Xian Zhang, Yiran Shen, Bowen Du, Guangrong Zhao, Lizhen Cui, Hongkai Wen:
Event-Stream Representation for Human Gaits Identification Using Deep Neural Networks. 3436-3449 - Juyong Zhang, Yuxin Yao, Bailin Deng:
Fast and Robust Iterative Closest Point. 3450-3466 - Hanqing Chao, Kun Wang, Yiwei He, Junping Zhang, Jianfeng Feng:
GaitSet: Cross-View Gait Recognition Through Utilizing Gait As a Deep Set. 3467-3478 - Xin Peng, Ling Gao, Yifu Wang, Laurent Kneip:
Globally-Optimal Contrast Maximisation for Event Cameras. 3479-3495 - Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Graph Neural Networks With Convolutional ARMA Filters. 3496-3507 - Wenguan Wang, Tianfei Zhou, Siyuan Qi, Jianbing Shen, Song-Chun Zhu:
Hierarchical Human Semantic Parsing With Comprehensive Part-Relation Modeling. 3508-3522 - Shervin Minaee, Yuri Boykov, Fatih Porikli, Antonio Plaza, Nasser Kehtarnavaz, Demetri Terzopoulos:
Image Segmentation Using Deep Learning: A Survey. 3523-3542 - Joshua J. Engelsma, Debayan Deb, Kai Cao, Anjoo Bhatnagar, Prem Sewak Sudhish, Anil K. Jain:
Infant-ID: Fingerprints for Global Good. 3543-3559 - Yiqun Zhang, Yiu-ming Cheung:
Learnable Weighting of Intra-Attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes. 3560-3576 - Hongshuang Zhang, Yu Zeng, Huchuan Lu, Lihe Zhang, Jianhua Li, Jinqing Qi:
Learning to Detect Salient Object With Multi-Source Weak Supervision. 3577-3589 - Ziqing Lu, Chang Xu, Bo Du, Takashi Ishida, Lefei Zhang, Masashi Sugiyama:
LocalDrop: A Hybrid Regularization for Deep Neural Networks. 3590-3601 - Joey Tianyi Zhou, Le Zhang, Jiawei Du, Xi Peng, Zhiwen Fang, Zhe Xiao, Hongyuan Zhu:
Locality-Aware Crowd Counting. 3602-3613 - Simon Vandenhende, Stamatios Georgoulis, Wouter Van Gansbeke, Marc Proesmans, Dengxin Dai, Luc Van Gool:
Multi-Task Learning for Dense Prediction Tasks: A Survey. 3614-3633 - Xuanyi Dong, Lu Liu, Katarzyna Musial, Bogdan Gabrys:
NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size. 3634-3646 - Federico Bolelli, Stefano Allegretti, Costantino Grana:
One DAG to Rule Them All. 3647-3658 - Ye Yu, William A. P. Smith:
Outdoor Inverse Rendering From a Single Image Using Multiview Self-Supervision. 3659-3675 - Ming-Kun Xie, Sheng-Jun Huang:
Partial Multi-Label Learning With Noisy Label Identification. 3676-3687 - Yi Liu, Dingwen Zhang, Qiang Zhang, Jungong Han:
Part-Object Relational Visual Saliency. 3688-3704 - Qi Zhang, Qing Wang, Hongdong Li, Jingyi Yu:
Ray-Space Epipolar Geometry for Light Field Cameras. 3705-3718 - Linwei Ye, Mrigank Rochan, Zhi Liu, Xiaoqin Zhang, Yang Wang:
Referring Segmentation in Images and Videos With Cross-Modal Self-Attention Network. 3719-3732 - Yulin Wang, Gao Huang, Shiji Song, Xuran Pan, Yitong Xia, Cheng Wu:
Regularizing Deep Networks With Semantic Data Augmentation. 3733-3748 - Bharat Singh, Mahyar Najibi, Abhishek Sharma, Larry S. Davis:
Scale Normalized Image Pyramids With AutoFocus for Object Detection. 3749-3766 - Bin Gu, Zhiyuan Dang, Zhouyuan Huo, Cheng Deng, Heng Huang:
Scaling Up Generalized Kernel Methods. 3767-3778 - Samyakh Tukra, Hani J. Marcus, Stamatia Giannarou:
See-Through Vision With Unsupervised Scene Occlusion Reconstruction. 3779-3790 - Jiangliu Wang, Jianbo Jiao, Linchao Bao, Shengfeng He, Wei Liu, Yunhui Liu:
Self-Supervised Video Representation Learning by Uncovering Spatio-Temporal Statistics. 3791-3806 - Shuai Yang, Zhangyang Wang, Jiaying Liu:
Shape-Matching GAN++: Scale Controllable Dynamic Artistic Text Style Transfer. 3807-3820 - Raquel Sánchez-Cauce, Iago París, Francisco Javier Díez:
Sum-Product Networks: A Survey. 3821-3839 - Zuchao Li, Zhuosheng Zhang, Hai Zhao, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita:
Text Compression-Aided Transformer Encoding. 3840-3857 - Benjamín Béjar Haro, Ivan Dokmanic, René Vidal:
The Fastest $\ell _{1, \infty }$ℓ1, ∞ Prox in the West. 3858-3869 - Yong-Lu Li, Xinpeng Liu, Xiaoqian Wu, Xijie Huang, Liang Xu, Cewu Lu:
Transferable Interactiveness Knowledge for Human-Object Interaction Detection. 3870-3882 - Aysegul Dundar, Kevin J. Shih, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro:
Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos. 3883-3894 - Gan Sun, Yang Cong, Jiahua Dong, Yuyang Liu, Zhengming Ding, Haibin Yu:
What and How: Generalized Lifelong Spectral Clustering via Dual Memory. 3895-3908 - Mohammed Kutbi, Kuan-Chuan Peng, Ziyan Wu:
Zero-Shot Deep Domain Adaptation With Common Representation Learning. 3909-3924
Volume 44, Number 8, August 2022
- Jiayuan Li:
A Practical $O(N^2)$O(N2) Outlier Removal Method for Correspondence-Based Point Cloud Registration. 3926-3939 - Yawei Luo, Ping Liu, Liang Zheng, Tao Guan, Junqing Yu, Yi Yang:
Category-Level Adversarial Adaptation for Semantic Segmentation Using Purified Features. 3940-3956 - Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu:
Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Conditional Learning. 3957-3973 - Wenqi Ren, Jiawei Zhang, Jinshan Pan, Sifei Liu, Jimmy S. Ren, Junping Du, Xiaochun Cao, Ming-Hsuan Yang:
Deblurring Dynamic Scenes via Spatially Varying Recurrent Neural Networks. 3974-3987 - Stephen Gould, Richard I. Hartley, Dylan Campbell:
Deep Declarative Networks. 3988-4004 - Jie Zhang, Dongdong Chen, Jing Liao, Weiming Zhang, Huamin Feng, Gang Hua, Nenghai Yu:
Deep Model Intellectual Property Protection via Deep Watermarking. 4005-4020 - Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou:
Deep Polynomial Neural Networks. 4021-4034 - Jing Liu, Bohan Zhuang, Zhuangwei Zhuang, Yong Guo, Junzhou Huang, Jin-Hui Zhu, Mingkui Tan:
Discrimination-Aware Network Pruning for Deep Model Compression. 4035-4051 - Nicolas Gillis, Le Thi Khanh Hien, Valentin Leplat, Vincent Y. F. Tan:
Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization. 4052-4064 - Jianfeng Dong, Xirong Li, Chaoxi Xu, Xun Yang, Gang Yang, Xun Wang, Meng Wang:
Dual Encoding for Video Retrieval by Text. 4065-4080 - Mehmet Ozgur Turkoglu, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Gating Revisited: Deep Multi-Layer RNNs That can be Trained. 4081-4092 - Shuang Li, Binhui Xie, Qiuxia Lin, Chi Harold Liu, Gao Huang, Guoren Wang:
Generalized Domain Conditioned Adaptation Network. 4093-4109 - Imtiaz Ahmed, Travis Galoppo, Xia Ben Hu, Yu Ding:
Graph Regularized Autoencoder and its Application in Unsupervised Anomaly Detection. 4110-4124 - Haoyi Fan, Fengbin Zhang, Yuxuan Wei, Zuoyong Li, Changqing Zou, Yue Gao, Qionghai Dai:
Heterogeneous Hypergraph Variational Autoencoder for Link Prediction. 4125-4138 - Cong Fu, Changxu Wang, Deng Cai:
High Dimensional Similarity Search With Satellite System Graph: Efficiency, Scalability, and Unindexed Query Compatibility. 4139-4150 - Longquan Dai, Jinhui Tang:
iFlowGAN: An Invertible Flow-Based Generative Adversarial Network for Unsupervised Image-to-Image Translation. 4151-4162 - Chen Gong, Qizhou Wang, Tongliang Liu, Bo Han, Jane You, Jian Yang, Dacheng Tao:
Instance-Dependent Positive and Unlabeled Learning With Labeling Bias Estimation. 4163-4177 - Aming Wu, Yahong Han, Linchao Zhu, Yi Yang:
Instance-Invariant Domain Adaptive Object Detection Via Progressive Disentanglement. 4178-4193 - Yueyu Hu, Wenhan Yang, Zhan Ma, Jiaying Liu:
Learning End-to-End Lossy Image Compression: A Benchmark. 4194-4211 - Zhi-Hao Lin, Sheng-Yu Huang, Yu-Chiang Frank Wang:
Learning of 3D Graph Convolution Networks for Point Cloud Analysis. 4212-4224 - Chongyi Li, Chunle Guo, Chen Change Loy:
Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation. 4225-4238 - Xiongjun Zhang, Michael K. Ng:
Low Rank Tensor Completion With Poisson Observations. 4239-4251 - Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh:
Natural Language Video Localization: A Revisit in Span-Based Question Answering Framework. 4252-4266 - Alex Tank, Ian Covert, Nicholas J. Foti, Ali Shojaie, Emily B. Fox:
Neural Granger Causality. 4267-4279 - Qichuan Geng, Hong Zhang, Feixiang Lu, Xinyu Huang, Sen Wang, Zhong Zhou, Ruigang Yang:
Part-Level Car Parsing and Reconstruction in Single Street View Images. 4291-4305 - Zhen Zhu, Tengteng Huang, Mengde Xu, Baoguang Shi, Wenqing Cheng, Xiang Bai:
Progressive and Aligned Pose Attention Transfer for Person Image Generation. 4306-4320 - Yang Zhang, Ivor W. Tsang, Yawei Luo, Changhui Hu, Xiaobo Lu, Xin Yu:
Recursive Copy and Paste GAN: Face Hallucination From Shaded Thumbnails. 4321-4338 - Deng-Ping Fan, Tengpeng Li, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Ming-Ming Cheng, Huazhu Fu, Jianbing Shen:
Re-Thinking Co-Salient Object Detection. 4339-4354 - Jingyao Hou, Feng Zhang, Haiquan Qiu, Jianjun Wang, Yao Wang, Deyu Meng:
Robust Low-Tubal-Rank Tensor Recovery From Binary Measurements. 4355-4373 - Jie Mei, Ming-Ming Cheng, Gang Xu, Lan-Ruo Wan, Huan Zhang:
SANet: A Slice-Aware Network for Pulmonary Nodule Detection. 4374-4387 - Linfeng Zhang, Chenglong Bao, Kaisheng Ma:
Self-Distillation: Towards Efficient and Compact Neural Networks. 4388-4403 - Jiang Lu, Lei Li, Changshui Zhang:
Self-Reinforcing Unsupervised Matching. 4404-4418 - Jiayun Wang, Rudrasis Chakraborty, Stella X. Yu:
Transformer for 3D Point Clouds. 4419-4431 - Joseph P. Robinson, Ming Shao, Yun Fu:
Survey on the Analysis and Modeling of Visual Kinship: A Decade in the Making. 4432-4453 - Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Yunde Jia, Luc Van Gool:
Towards a Weakly Supervised Framework for 3D Point Cloud Object Detection and Annotation. 4454-4468 - Shipeng Wang, Yan Yang, Jian Sun, Zongben Xu:
Variational HyperAdam: A Meta-Learning Approach to Network Training. 4469-4484
Volume 44, Number 9, September 2022
- Atsuto Maki, Danica Kragic, Hedvig Kjellström, Hossein Azizpour, Josephine Sullivan, Mårten Björkman, Patric Jensfelt, Stefan Carlsson, Tony Lindeberg, Yngve Sundblad:
In Memoriam: Jan-Olof Eklundh. 4488-4489 - Xiangyu Xu, Hao Chen, Francesc Moreno-Noguer, László A. Jeni, Fernando De la Torre:
3D Human Pose, Shape and Texture From Low-Resolution Images and Videos. 4490-4504 - Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, Mubarak Shah:
A Background-Agnostic Framework With Adversarial Training for Abnormal Event Detection in Video. 4505-4523 - Huan Xiong, Mengyang Yu, Li Liu, Fan Zhu, Jie Qin, Fumin Shen, Ling Shao:
A Generalized Method for Binary Optimization: Convergence Analysis and Applications. 4524-4543 - Xianli Pan, Yitian Xu:
A Safe Feature Elimination Rule for $L_{1}$L1-Regularized Logistic Regression. 4544-4554 - Xin Wang, Yudong Chen, Wenwu Zhu:
A Survey on Curriculum Learning. 4555-4576 - Zhihua Wang, Kede Ma:
Active Fine-Tuning From gMAD Examples Improves Blind Image Quality Assessment. 4577-4590 - Kun Song, Junwei Han, Gong Cheng, Jiwen Lu, Feiping Nie:
Adaptive Neighborhood Metric Learning. 4591-4604 - Jiyang Xie, Zhanyu Ma, Jianjun Lei, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo:
Advanced Dropout: A Model-Free Methodology for Bayesian Dropout Optimization. 4605-4625 - Pengfei Fang, Jieming Zhou, Soumava Kumar Roy, Pan Ji, Lars Petersson, Mehrtash Harandi:
Attention in Attention Networks for Person Retrieval. 4626-4641 - Carlos Puerto-Santana, Pedro Larrañaga, Concha Bielza:
Autoregressive Asymmetric Linear Gaussian Hidden Markov Models. 4642-4658 - Xinyu Chen, Lijun Sun:
Bayesian Temporal Factorization for Multidimensional Time Series Prediction. 4659-4673 - Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin:
CARAFE++: Unified Content-Aware ReAssembly of FEatures. 4674-4687 - Mahmoud Afifi, Abdelrahman Abdelhamed, Abdullah Abuolaim, Abhijith Punnappurath, Michael S. Brown:
CIE XYZ Net: Unprocessing Images for Low-Level Computer Vision Tasks. 4688-4700 - Zongxin Yang, Yunchao Wei, Yi Yang:
Collaborative Video Object Segmentation by Multi-Scale Foreground-Background Integration. 4701-4712 - Matteo Poggi, Alessio Tonioni, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano:
Continual Adaptation for Deep Stereo. 4713-4729 - Sourabh Balgi, Ambedkar Dukkipati:
Contradistinguisher: A Vapnik's Imperative to Unsupervised Domain Adaptation. 4730-4747 - Jiayu Yang, Wei Mao, José M. Álvarez, Miaomiao Liu:
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo. 4748-4760 - Si Liu, Tianrui Hui, Shaofei Huang, Yunchao Wei, Bo Li, Guanbin Li:
Cross-Modal Progressive Comprehension for Referring Segmentation. 4761-4775 - Ke Yan, Xiuying Wang, Jinman Kim, Wangmeng Zuo, Dagan Feng:
Deep Cognitive Gate: Resembling Human Cognition for Saliency Detection. 4776-4792 - Kai Zhao, Qi Han, Chang-Bin Zhang, Jun Xu, Ming-Ming Cheng:
Deep Hough Transform for Semantic Line Detection. 4793-4806 - Dusthon Llorente-Vidrio, Mariana Ballesteros-Escamilla, Iván Salgado, Isaac Chairez Oria:
Deep Learning Adapted to Differential Neural Networks Used as Pattern Classification of Electrophysiological Signals. 4807-4818 - Xingchen Zhang:
Deep Learning-Based Multi-Focus Image Fusion: A Survey and a Comparative Study. 4819-4838 - Sudhakar Kumawat, Manisha Verma, Yuta Nakashima, Shanmuganathan Raman:
Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition. 4839-4851 - Zhentao Tan, Dongdong Chen, Qi Chu, Menglei Chai, Jing Liao, Mingming He, Lu Yuan, Gang Hua, Nenghai Yu:
Efficient Semantic Image Synthesis via Class-Adaptive Normalization. 4852-4866 - Brevin Tilmon, Eakta Jain, Silvia Ferrari, Sanjeev J. Koppal:
Fast Foveating Cameras for Dense Adaptive Resolution. 4867-4878 - Baris Gecer, Stylianos Ploumpis, Irene Kotsia, Stefanos Zafeiriou:
Fast-GANFIT: Generative Adversarial Network for High Fidelity 3D Face Reconstruction. 4879-4893 - Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan, Xilin Chen:
Feature Completion for Occluded Person Re-Identification. 4894-4912 - Jiale Cao, Yanwei Pang, Jin Xie, Fahad Shahbaz Khan, Ling Shao:
From Handcrafted to Deep Features for Pedestrian Detection: A Survey. 4913-4934 - Bo Jiang, Beibei Wang, Jin Tang, Bin Luo:
GeCNs: Graph Elastic Convolutional Networks for Data Representation. 4935-4947 - Hongyang Gao, Shuiwang Ji:
Graph U-Nets. 4948-4960 - Daniel Barath, Jiri Matas:
Graph-Cut RANSAC: Local Optimization on Spatially Coherent Structures. 4961-4974 - Jen-Tzung Chien, Chun-Wei Wang:
Hierarchical and Self-Attended Sequence Autoencoder. 4975-4986 - Si Liu, Zitian Wang, Yulu Gao, Lejian Ren, Yue Liao, Guanghui Ren, Bo Li, Shuicheng Yan:
Human-Centric Relation Segmentation: Dataset and Solution. 4987-5001 - Yongjie Zhu, Chen Li, Si Li, Boxin Shi, Yu-Wing Tai:
Hybrid Face Reflectance, Illumination, and Shape From a Single Image. 5002-5015 - Ronan Riochet, Mario Ynocente Castro, Mathieu Bernard, Adam Lerer, Rob Fergus, Véronique Izard, Emmanuel Dupoux:
IntPhys 2019: A Benchmark for Visual Intuitive Physics Understanding. 5016-5025 - Pengpeng Liu, Michael R. Lyu, Irwin King, Jia Xu:
Learning by Distillation: A Self-Supervised Learning Framework for Optical Flow Estimation. 5026-5041 - Shiping Wang, Zhaoliang Chen, Shide Du, Zhouchen Lin:
Learning Deep Sparse Regularizers With Applications to Multi-View Clustering and Semi-Supervised Classification. 5042-5055 - Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang:
Learning Generalisable Omni-Scale Representations for Person Re-Identification. 5056-5069 - Wei Sun, Tianfu Wu:
Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis. 5070-5087 - Anoop Cherian, Panagiotis Stanitsas, Jue Wang, Mehrtash Harandi, Vassilios Morellas, Nikolaos Papanikolopoulos:
Learning Log-Determinant Divergences for Positive Definite Matrices. 5088-5102 - Lei Cai, Jundong Li, Jie Wang, Shuiwang Ji:
Line Graph Neural Networks for Link Prediction. 5103-5113 - Wen Liu, Zhixin Piao, Zhi Tu, Wenhan Luo, Lin Ma, Shenghua Gao:
Liquid Warping GAN With Attention: A Unified Framework for Human Image Synthesis. 5114-5132 - Ahmed Douik, Babak Hassibi:
Low-Rank Riemannian Optimization for Graph-Based Clustering Applications. 5133-5148 - Timothy M. Hospedales, Antreas Antoniou, Paul Micaelli, Amos J. Storkey:
Meta-Learning in Neural Networks: A Survey. 5149-5169 - Zengyi Qin, Jinglu Wang, Yan Lu:
MonoGRNet: A General Framework for Monocular 3D Object Detection. 5170-5184 - Junpeng Zhang, Xiuping Jia, Jiankun Hu, Kun Tan:
Moving Vehicle Detection for Remote Sensing Video Surveillance With Nonstationary Satellite Platform. 5185-5198 - Ze-Bang Yu, Min-Ling Zhang:
Multi-Label Classification With Label-Specific Feature Generation: A Wrapped Approach. 5199-5210 - Xin Geng, RenYi Zheng, Jiaqi Lv, Yu Zhang:
Multilabel Ranking With Inconsistent Rankers. 5211-5224 - Ruize Han, Wei Feng, Yujun Zhang, Jiewen Zhao, Song Wang:
Multiple Human Association and Tracking From Egocentric and Complementary Top Views. 5225-5242 - Xiaofeng Liu, Chao Yang, Jane You, C.-C. Jay Kuo, B. V. K. Vijaya Kumar:
Mutual Information Regularized Feature-Level Frankenstein for Discriminative Recognition. 5243-5260 - Runzhong Wang, Junchi Yan, Xiaokang Yang:
Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem With Extension to Hypergraph and Multiple-Graph Matching. 5261-5279 - Xiaotian Qiao, Quanlong Zheng, Ying Cao, Rynson W. H. Lau:
Object-Level Scene Context Prediction. 5280-5292 - Matteo Poggi, Seungryong Kim, Fabio Tosi, Sunok Kim, Filippo Aleotti, Dongbo Min, Kwanghoon Sohn, Stefano Mattoccia:
On the Confidence of Stereo Matching in a Deep-Learning Era: A Quantitative Evaluation. 5293-5313 - Matteo Poggi, Fabio Tosi, Konstantinos Batsos, Philippos Mordohai, Stefano Mattoccia:
On the Synergies Between Machine Learning and Binocular Stereo for Depth Estimation From Images: A Survey. 5314-5334 - Chong Huang, Yuanjie Dang, Peng Chen, Xin Yang, Kwang-Ting Cheng:
One-Shot Imitation Drone Filming of Human Motion Videos. 5335-5348 - Wenhai Wang, Enze Xie, Xiang Li, Xuebo Liu, Ding Liang, Zhibo Yang, Tong Lu, Chunhua Shen:
PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Text. 5349-5367 - Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, José F. Rodrigues Jr., Jimeng Sun:
Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning. 5368-5384 - Enze Xie, Wenhai Wang, Mingyu Ding, Ruimao Zhang, Ping Luo:
PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond. 5385-5400 - Doruk Öner, Mateusz Kozinski, Leonardo Citraro, Nathan C. Dadap, Alexandra Georges Konings, Pascal Fua:
Promoting Connectivity of Network-Like Structures by Enforcing Region Separation. 5401-5413 - Xinshao Wang, Yang Hua, Elyor Kodirov, Neil M. Robertson:
Ranked List Loss for Deep Metric Learning. 5414-5429 - Gaochang Wu, Yebin Liu, Lu Fang, Tianyou Chai:
Revisiting Light Field Rendering With Deep Anti-Aliasing Neural Network. 5430-5444 - Jing Wang, Xin Geng, Hui Xue:
Re-Weighting Large Margin Label Distribution Learning for Classification. 5445-5459 - Kyungdon Joo, Hongdong Li, Tae-Hyun Oh, In So Kweon:
Robust and Efficient Estimation of Relative Pose for Cameras on Selfie Sticks. 5460-5471 - Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Robust Differentiable SVD. 5472-5487 - Xiaohu Shao, Junliang Xing, Jiangjing Lyu, Xiangdong Zhou, Yu Shi, Stephen J. Maybank:
Robust Face Alignment via Deep Progressive Reinitialization and Adaptive Error-Driven Learning. 5488-5502 - Linnan Wang, Saining Xie, Teng Li, Rodrigo Fonseca, Yuandong Tian:
Sample-Efficient Neural Architecture Search by Learning Actions for Monte Carlo Tree Search. 5503-5515 - Silvia Bucci, Antonio D'Innocente, Yujun Liao, Fabio Maria Carlucci, Barbara Caputo, Tatiana Tommasi:
Self-Supervised Learning Across Domains. 5516-5528 - Linghao Chen, Jiaming Sun, Yiming Xie, Siyu Zhang, Qing Shuai, Qinhong Jiang, Guofeng Zhang, Hujun Bao, Xiaowei Zhou:
Shape Prior Guided Instance Disparity Estimation for 3D Object Detection. 5529-5540 - Keren Fu, Deng-Ping Fan, Ge-Peng Ji, Qijun Zhao, Jianbing Shen, Ce Zhu:
Siamese Network for RGB-D Salient Object Detection and Beyond. 5541-5559 - Shenglong Zhou:
Sparse SVM for Sufficient Data Reduction. 5560-5571 - Shangqi Guo, Qi Yan, Xin Su, Xiaolin Hu, Feng Chen:
State-Temporal Compression in Reinforcement Learning With the Reward-Restricted Geodesic Metric. 5572-5589 - Aziz Koçanaogullari, Murat Akçakaya, Deniz Erdogmus:
Stopping Criterion Design for Recursive Bayesian Classification: Analysis and Decision Geometry. 5590-5601 - Kosuke Takahashi, Shohei Nobuhara:
Structure of Multiple Mirror System From Kaleidoscopic Projections of Single 3D Point. 5602-5617 - Trung Thanh Ngo, Hajime Nagahara, Rin-Ichiro Taniguchi:
Surface Normals and Light Directions From Shading and Polarization. 5618-5630 - Yuanjie Zheng, Xiaodan Sui, Yanyun Jiang, Tongtong Che, Shaoting Zhang, Jie Yang, Hongsheng Li:
SymReg-GAN: Symmetric Image Registration With Generative Adversarial Networks. 5631-5646 - Stanislav Mikes, Michal Haindl:
Texture Segmentation Benchmark. 5647-5663 - Dhagash Mehta, Tianran Chen, Tingting Tang, Jonathan D. Hauenstein:
The Loss Surface of Deep Linear Networks Viewed Through the Algebraic Geometry Lens. 5664-5680 - Miguel Fabián Romero Rondón, Lucile Sassatelli, Ramon Aparicio-Pardo, Frédéric Precioso:
TRACK: A New Method From a Re-Examination of Deep Architectures for Head Motion Prediction in 360${}^{\circ }$∘ Videos. 5681-5699 - Sean I. Young, Zhe Wang, David Taubman, Bernd Girod:
Transform Quantization for CNN Compression. 5700-5714 - Jinwook Kim, Heeyong Yoon, Min-Soo Kim:
Tweaking Deep Neural Networks. 5715-5728 - Linjiang Huang, Yan Huang, Wanli Ouyang, Liang Wang:
Two-Branch Relational Prototypical Network for Weakly Supervised Temporal Action Localization. 5729-5746 - Silvia Tozza, Dizhong Zhu, William A. P. Smith, Ravi Ramamoorthi, Edwin R. Hancock:
Uncalibrated, Two Source Photo-Polarimetric Stereo. 5747-5760 - Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Sadegh Aliakbarian, Nick Barnes:
Uncertainty Inspired RGB-D Saliency Detection. 5761-5779 - Yang You, Chengkun Li, Yujing Lou, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Weiming Wang, Cewu Lu:
Understanding Pixel-Level 2D Image Semantics With 3D Keypoint Knowledge Engine. 5780-5795 - Rihuan Ke, Carola-Bibiane Schönlieb:
Unsupervised Image Restoration Using Partially Linear Denoisers. 5796-5812 - Liu Liu, Ji Liu, Dacheng Tao:
Variance Reduced Methods for Non-Convex Composition Optimization. 5813-5825 - Xianye Ben, Yi Ren, Junping Zhang, Su-Jing Wang, Kidiyo Kpalma, Weixiao Meng, Yong-Jin Liu:
Video-Based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms. 5826-5846 - Eric Brachmann, Carsten Rother:
Visual Camera Re-Localization From RGB and RGB-D Images Using DSAC. 5847-5865 - Dingwen Zhang, Junwei Han, Gong Cheng, Ming-Hsuan Yang:
Weakly Supervised Object Localization and Detection: A Survey. 5866-5885 - Ziyi Liu, Le Wang, Qilin Zhang, Wei Tang, Nanning Zheng, Gang Hua:
Weakly Supervised Temporal Action Localization Through Contrast Based Evaluation Networks. 5886-5902 - Huy Phan, Oliver Y. Chén, Minh C. Tran, Philipp Koch, Alfred Mertins, Maarten De Vos:
XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging. 5903-5915
Volume 44, Number 10, October 2022
- Xiang Li, Songcan Chen:
A Concise Yet Effective Model for Non-Aligned Incomplete Multi-View and Missing Multi-Label Learning. 5918-5932 - Pan Zhou, Xiao-Tong Yuan, Zhouchen Lin, Steven C. H. Hoi:
A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization. 5933-5946 - Yuhang Liu, Fandong Zhang, Chaoqi Chen, Siwen Wang, Yizhou Wang, Yizhou Yu:
Act Like a Radiologist: Towards Reliable Multi-View Correspondence Reasoning for Mammogram Mass Detection. 5947-5961 - Jiankang Deng, Jia Guo, Jing Yang, Niannan Xue, Irene Kotsia, Stefanos Zafeiriou:
ArcFace: Additive Angular Margin Loss for Deep Face Recognition. 5962-5979 - Naveed Akhtar, Mohammad A. A. K. Jalwana, Mohammed Bennamoun, Ajmal Mian:
Attack to Fool and Explain Deep Networks. 5980-5995 - Samuele Tosatto, João Carvalho, Jan Peters:
Batch Reinforcement Learning With a Nonparametric Off-Policy Policy Gradient. 5996-6010 - Huanyu Wang, Zequn Qin, Songyuan Li, Xi Li:
CoDiNet: Path Distribution Modeling With Consistency and Diversity for Dynamic Routing. 6011-6023 - Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng, Ling Shao:
Concealed Object Detection. 6024-6042 - Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Confidence Estimation via Auxiliary Models. 6043-6055 - Dan Guo, Hui Wang, Meng Wang:
Context-Aware Graph Inference With Knowledge Distillation for Visual Dialog. 6056-6073 - Jingke Meng, Wei-Shi Zheng, Jian-Huang Lai, Liang Wang:
Deep Graph Metric Learning for Weakly Supervised Person Re-Identification. 6074-6093 - Mantang Guo, Junhui Hou, Jing Jin, Jie Chen, Lap-Pui Chau:
Deep Spatial-Angular Regularization for Light Field Imaging, Denoising, and Super-Resolution. 6094-6110 - Yuval Nirkin, Lior Wolf, Yosi Keller, Tal Hassner:
DeepFake Detection Based on Discrepancies Between Faces and Their Context. 6111-6121 - Lixin Fan, Kam Woh Ng, Chee Seng Chan, Qiang Yang:
DeepIPR: Deep Neural Network Ownership Verification With Passports. 6122-6139 - Bohan Zhuang, Mingkui Tan, Jing Liu, Lingqiao Liu, Ian Reid, Chunhua Shen:
Effective Training of Convolutional Neural Networks With Low-Bitwidth Weights and Activations. 6140-6152 - Quanming Yao, Hansi Yang, En-Liang Hu, James T. Kwok:
Efficient Low-Rank Semidefinite Programming With Robust Loss Functions. 6153-6168 - Yingming Li, Baiyun Cui, Zhongfei Zhang:
Efficient Relational Sentence Ordering Network. 6169-6183 - Ziad Akram-Ali-Hammouri, Manuel Fernández Delgado, Eva Cernadas, Senén Barro:
Fast Support Vector Classification for Large-Scale Problems. 6184-6195 - Yaser Souri, Mohsen Fayyaz, Luca Minciullo, Gianpiero Francesca, Juergen Gall:
Fast Weakly Supervised Action Segmentation Using Mutual Consistency. 6196-6208 - Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan:
Graph Convolutional Module for Temporal Action Localization in Videos. 6209-6223 - Wei Niu, Zhengang Li, Xiaolong Ma, Peiyan Dong, Gang Zhou, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren:
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices Based on Fine-Grained Structured Weight Sparsity. 6224-6239 - Yikai Wang, Li Zhang, Yuan Yao, Yanwei Fu:
How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot Learning. 6240-6253 - Pan Shang, Lingchen Kong:
$\ell _{1}$ℓ1-Norm Quantile Regression Screening Rule via the Dual Circumscribed Sphere. 6254-6263 - Jinghua Wang, Jianmin Jiang:
Learning Across Tasks for Zero-Shot Domain Adaptation From a Single Source Domain. 6264-6279 - Fei Ye, Adrian G. Bors:
Lifelong Teacher-Student Network Learning. 6280-6296 - Qingyang Tan, Ling-Xiao Zhang, Jie Yang, Yu-Kun Lai, Lin Gao:
Variational Autoencoders for Localized Mesh Deformation Component Analysis. 6297-6310 - Yunxiao Qin, Zitong Yu, Longbin Yan, Zezheng Wang, Chenxu Zhao, Zhen Lei:
Meta-Teacher For Face Anti-Spoofing. 6311-6326 - Yuanlu Xu, Wenguan Wang, Tengyu Liu, Xiaobai Liu, Jianwen Xie, Song-Chun Zhu:
Monocular 3D Pose Estimation via Pose Grammar and Data Augmentation. 6327-6344 - Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators. 6345-6359 - Kai Zhang, Yawei Li, Wangmeng Zuo, Lei Zhang, Luc Van Gool, Radu Timofte:
Plug-and-Play Image Restoration With Deep Denoiser Prior. 6360-6376 - Lu Qi, Yi Wang, Yukang Chen, Ying-Cong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia:
PointINS: Point-Based Instance Segmentation. 6377-6392 - Ke Ma, Qianqian Xu, Jinshan Zeng, Xiaochun Cao, Qingming Huang:
Poisoning Attack Against Estimating From Pairwise Comparisons. 6393-6408 - Shaifali Parashar, Daniel Pizarro, Adrien Bartoli:
Robust Isometric Non-Rigid Structure-From-Motion. 6409-6423 - Zhenbo Xu, Wei Yang, Wei Zhang, Xiao Tan, Huan Huang, Liusheng Huang:
Segment as Points for Efficient and Effective Online Multi-Object Tracking and Segmentation. 6424-6437 - Wen-Yan Lin, Siying Liu, Changhao Ren, Ngai-Man Cheung, Hongdong Li, Yasuyuki Matsushita:
Shell Theory: A Statistical Model of Reality. 6438-6453 - Jiapeng Tang, Xiaoguang Han, Mingkui Tan, Xin Tong, Kui Jia:
SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces From RGB Images. 6454-6471 - Songxuan Lai, Lianwen Jin, Yecheng Zhu, Zhe Li, Luojun Lin:
SynSig2Vec: Forgery-Free Learning of Dynamic Signature Representations by Sigma Lognormal-Based Synthesis and 1D CNN. 6472-6485 - Xiaogang Xu, Ying-Cong Chen, Xin Tao, Jiaya Jia:
Text-Guided Human Image Manipulation via Image-Text Shared Space. 6486-6500 - Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang:
Towards Accurate and Compact Architectures via Neural Architecture Transformer. 6501-6516 - Hui Tang, Xiatian Zhu, Ke Chen, Kui Jia, C. L. Philip Chen:
Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation Using Structurally Regularized Deep Clustering. 6517-6533 - Jiwei Wei, Yang Yang, Xing Xu, Xiaofeng Zhu, Heng Tao Shen:
Universal Weighting Metric Learning for Cross-Modal Retrieval. 6534-6545 - Tae Jun Jang, Kang Cheol Kim, Hyun Cheol Cho, Jin Keun Seo:
A Fully Automated Method for 3D Individual Tooth Identification and Segmentation in Dental CBCT. 6562-6568 - Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
DeriveNet for (Very) Low Resolution Image Classification. 6569-6577 - Kamyar Azizzadenesheli:
Importance Weight Estimation and Generalization in Domain Adaptation Under Label Shift. 6578-6584 - Elad Ben Baruch, Yosi Keller:
Joint Detection and Matching of Feature Points in Multimodal Images. 6585-6593 - Samuel Grieggs, Bingyu Shen, Greta Rauch, Pei Li, Jiaqi Ma, David Chiang, Brian L. Price, Walter J. Scheirer:
Measuring Human Perception to Improve Handwritten Document Transcription. 6594-6601 - Linxi Huan, Nan Xue, Xianwei Zheng, Wei He, Jianya Gong, Gui-Song Xia:
Unmixing Convolutional Features for Crisp Edge Detection. 6602-6609 - Rune Christiansen, Niklas Pfister, Martin Emil Jakobsen, Nicola Gnecco, Jonas Peters:
A Causal Framework for Distribution Generalization. 6614-6630 - Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Michael Ng:
A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing. 6631-6648 - Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Yi Guo, Jun Cheng, Xinwang Liu, Bin Hu:
A Self-Supervised Gait Encoding Approach With Locality-Awareness for 3D Skeleton Based Person Re-Identification. 6649-6666 - Claudio Ferrari, Stefano Berretti, Pietro Pala, Alberto Del Bimbo:
A Sparse and Locally Coherent Morphable Face Model for Dense Semantic Correspondence Across Heterogeneous 3D Faces. 6667-6682 - Abdullah Haroon Rasheed, Victor Romero, Florence Bertails-Descoubes, Stefanie Wuhrer, Jean-Sébastien Franco, Arnaud Lazarus:
A Visual Approach to Measure Cloth-Body and Cloth-Cloth Friction. 6683-6694 - Jun Ma, Yao Zhang, Song Gu, Cheng Zhu, Cheng Ge, Yichi Zhang, Xingle An, Congcong Wang, Qiyuan Wang, Xin Liu, Shucheng Cao, Qi Zhang, Shangqing Liu, Yunpeng Wang, Yuhui Li, Jian He, Xiaoping Yang:
AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem? 6695-6714 - Ju Xu, Jin Ma, Xuesong Gao, Zhanxing Zhu:
Adaptive Progressive Continual Learning. 6715-6728 - Sicheng Zhao, Xingxu Yao, Jufeng Yang, Guoli Jia, Guiguang Ding, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer:
Affective Image Content Analysis: Two Decades Review and New Perspectives. 6729-6751 - Yuesong Tian, Li Shen, Li Shen, Guinan Su, Zhifeng Li, Wei Liu:
AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks. 6752-6766 - Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman:
AutoNovel: Automatically Discovering and Learning Novel Visual Categories. 6767-6781 - Yi-Qi Hu, Xu-Hui Liu, Shu-Qiao Li, Yang Yu:
Cascaded Algorithm Selection With Extreme-Region UCB Bandit. 6782-6794 - Riad Akrour, Davide Tateo, Jan Peters:
Continuous Action Reinforcement Learning From a Mixture of Interpretable Experts. 6795-6806 - Xinge Zhu, Hui Zhou, Tai Wang, Fangzhou Hong, Wei Li, Yuexin Ma, Hongsheng Li, Ruigang Yang, Dahua Lin:
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-Based Perception. 6807-6822 - Ioannis Kansizoglou, Loukas Bampis, Antonios Gasteratos:
Deep Feature Space: A Geometrical Perspective. 6823-6838 - Yan Bai, Jun Liu, Yihang Lou, Ce Wang, Ling-Yu Duan:
Disentangled Feature Learning Network and a Comprehensive Benchmark for Vehicle Re-Identification. 6854-6871 - Xiaofeng Cao, Ivor W. Tsang:
Distribution Disagreement via Lorentzian Focal Representation. 6872-6889 - S. Mohammad Mostafavi I., Yeongwoo Nam, Jonghyun Choi, Kuk-Jin Yoon:
E2SRI: Learning to Super-Resolve Intensity Images From Events. 6890-6909 - Yuanyu Wan, Lijun Zhang:
Efficient Adaptive Online Learning via Frequent Directions. 6910-6923 - Chen Wang, Yinlong Liu, Yiru Wang, Xuechen Li, Manning Wang:
Efficient and Outlier-Robust Simultaneous Pose and Correspondence Determination by Branch-and-Bound and Transformation Decomposition. 6924-6938 - Haibo Qiu, Dihong Gong, Zhifeng Li, Wei Liu, Dacheng Tao:
End2End Occluded Face Recognition by Masking Corrupted Features. 6939-6952 - Huajun Song, Laibin Chang, Ziwei Chen, Peng Ren:
Enhancement-Registration-Homogenization (ERH): A Comprehensive Underwater Visual Reconstruction Paradigm. 6953-6967 - Tian Xu, Ziniu Li, Yang Yu:
Error Bounds of Imitating Policies and Environments for Reinforcement Learning. 6968-6980 - Junting Dong, Qi Fang, Wen Jiang, Yurou Yang, Qixing Huang, Hujun Bao, Xiaowei Zhou:
Fast and Robust Multi-Person 3D Pose Estimation and Tracking From Multiple Views. 6981-6992 - Anoop Cherian, Jue Wang:
Generalized One-Class Learning Using Pairs of Complementary Classifiers. 6993-7009 - Weiming Hu, Haowei Liu, Yang Du, Chunfeng Yuan, Bing Li, Stephen J. Maybank:
Interaction-Aware Spatio-Temporal Pyramid Attention Networks for Action Classification. 7010-7028 - Xianhang Cheng, Zhenzhong Chen:
Multiple Video Frame Interpolation via Enhanced Deformable Separable Convolution. 7029-7045 - Ying Qu, Zhenzhou Shao, Hairong Qi:
Non-Local Representation Based Mutual Affine-Transfer Network for Photorealistic Stylization. 7046-7061 - Peng-Tao Jiang, Linghao Han, Qibin Hou, Ming-Ming Cheng, Yunchao Wei:
Online Attention Accumulation for Weakly Supervised Semantic Segmentation. 7062-7077 - Ke Yu, Xintao Wang, Chao Dong, Xiaoou Tang, Chen Change Loy:
Path-Restore: Learning Network Path Selection for Image Restoration. 7078-7092 - Xin Yuan, Yang Liu, Jinli Suo, Frédo Durand, Qionghai Dai:
Plug-and-Play Algorithms for Video Snapshot Compressive Imaging. 7093-7111 - Ahmed Elnaggar, Michael Heinzinger, Christian Dallago, Ghalia Rehawi, Yu Wang, Llion Jones, Tom Gibbs, Tamas Feher, Christoph Angerer, Martin Steinegger, Debsindhu Bhowmik, Burkhard Rost:
ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning. 7112-7127 - Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens:
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond. 7128-7148 - Wenlong Zhang, Yihao Liu, Chao Dong, Yu Qiao:
RankSRGAN: Super Resolution Generative Adversarial Networks With Learning to Rank. 7149-7166 - Yiwen Guo, Changshui Zhang:
Recent Advances in Large Margin Learning. 7167-7174 - Bingqian Lin, Yi Zhu, Yanxin Long, Xiaodan Liang, Qixiang Ye, Liang Lin:
Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation. 7175-7189 - Ye Zhu, Yu Wu, Yi Yang, Yan Yan:
Saying the Unseen: Video Descriptions via Dialog Agents. 7190-7204 - Christoph B. Rist, David Emmerichs, Markus Enzweiler, Dariu M. Gavrila:
Semantic Scene Completion Using Local Deep Implicit Functions on LiDAR Data. 7205-7218 - Yanyu Xu, Ziheng Zhang, Shenghua Gao:
Spherical DNNs and Their Applications in 360$^\circ$∘ Images and Videos. 7235-7252 - Huajun Wang, Yuan-Hai Shao, Shenglong Zhou, Ce Zhang, Naihua Xiu:
Support Vector Machine Classifier via $L_{0/1}$L0/1 Soft-Margin Loss. 7253-7265 - Peng Wang, Hui Li, Chunhua Shen:
Towards End-to-End Text Spotting in Natural Scenes. 7266-7281 - Wei Yin, Yifan Liu, Chunhua Shen:
Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction. 7282-7295 - Kilian Fatras, Bharath Bhushan Damodaran, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty:
Wasserstein Adversarial Regularization for Learning With Label Noise. 7296-7306 - Xuancheng Zhang, Rui Ma, Changqing Zou, Minghao Zhang, Xibin Zhao, Yue Gao:
View-Aware Geometry-Structure Joint Learning for Single-View 3D Shape Reconstruction. 6546-6561 - Yongsheng Pan, Ming-Xia Liu, Yong Xia, Dinggang Shen:
Disease-Image-Specific Learning for Diagnosis-Oriented Neuroimage Synthesis With Incomplete Multi-Modality Data. 6839-6853 - Cheng Yang, Gene Cheung, Wei Hu:
Signed Graph Metric Learning via Gershgorin Disc Perfect Alignment. 7219-7234
Volume 44, Number 11, November 2022
- Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao:
Attention in Reasoning: Dataset, Analysis, and Modeling. 7310-7326 - Sam Bond-Taylor, Adam Leach, Yang Long, Chris G. Willcocks:
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models. 7327-7347 - Dong-Jin Kim, Tae-Hyun Oh, Jinsoo Choi, In So Kweon:
Dense Relational Image Captioning via Multi-Task Triple-Stream Networks. 7348-7362 - Hao Zhu, Xinxin Zuo, Haotian Yang, Sen Wang, Xun Cao, Ruigang Yang:
Detailed Avatar Recovery From Single Image. 7363-7379 - Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Heng Fan, Qinghua Hu, Haibin Ling:
Detection and Tracking Meet Drones Challenge. 7380-7399 - Gangming Zhao, Quanlong Feng, Chaoqi Chen, Zhen Zhou, Yizhou Yu:
Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis. 7400-7416 - Ivan Shugurov, Sergey Zakharov, Slobodan Ilic:
DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation. 7417-7435 - Yizeng Han, Gao Huang, Shiji Song, Le Yang, Honghui Wang, Yulin Wang:
Dynamic Neural Networks: A Survey. 7436-7456 - Elvin Isufi, Fernando Gama, Alejandro Ribeiro:
EdgeNets: Edge Varying Graph Neural Networks. 7457-7473 - Xingang Pan, Xiaohang Zhan, Bo Dai, Dahua Lin, Chen Change Loy, Ping Luo:
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation. 7474-7489 - Youjian Zhang, Chaoyue Wang, Stephen J. Maybank, Dacheng Tao:
Exposure Trajectory Recovery From Motion Blur. 7490-7504 - Weixin Luo, Wen Liu, Dongze Lian, Shenghua Gao:
Future Frame Prediction Network for Video Anomaly Detection. 7505-7520 - Bayu Distiawan Trisedya, Jianzhong Qi, Wei Wang, Rui Zhang:
GCP: Graph Encoder With Content-Planning for Sentence Generation From Knowledge Bases. 7521-7533 - Jianing Zhang, Jinzhi Zhang, Shi Mao, Mengqi Ji, Guangyu Wang, Zequn Chen, Tian Zhang, Xiaoyun Yuan, Qionghai Dai, Lu Fang:
GigaMVS: A Benchmark for Ultra-Large-Scale Gigapixel-Level 3D Reconstruction. 7534-7550 - Qi Wang, Nianhui Guo, Zhitong Xiong, Zeping Yin, Xuelong Li:
Gradient Matters: Designing Binarized Neural Networks via Enhanced Information-Flow. 7551-7562 - Li Yang, Mai Xu, Yichen Guo, Xin Deng, Fangyuan Gao, Zhenyu Guan:
Hierarchical Bayesian LSTM for Head Trajectory Prediction on Omnidirectional Images. 7563-7580 - Thomas Schnake, Oliver Eberle, Jonas Lederer, Shinichi Nakajima, Kristof T. Schütt, Klaus-Robert Müller, Grégoire Montavon:
Higher-Order Explanations of Graph Neural Networks via Relevant Walks. 7581-7596 - Farshad Lahouti, Victoria Kostina, Babak Hassibi:
How to Query an Oracle? Efficient Strategies to Label Data. 7597-7609 - Andi Han, Junbin Gao:
Improved Variance Reduction Methods for Riemannian Non-Convex Optimization. 7610-7623 - David A. Forsyth, Jason J. Rock:
Intrinsic Image Decomposition Using Paradigms. 7624-7637 - Emanuela Haller, Adina Magda Florea, Marius Leordeanu:
Iterative Knowledge Exchange Between Deep Learning and Space-Time Spectral Clustering for Unsupervised Segmentation in Videos. 7638-7656 - Lin Wang, Tae-Kyun Kim, Kuk-Jin Yoon:
Joint Framework for Single Image Reconstruction and Super-Resolution With an Event Camera. 7657-7673 - Meng Li, Li Ma:
Learning Asymmetric and Local Features in Multi-Dimensional Data Through Wavelets With Recursive Partitioning. 7674-7687 - Risheng Liu, Zi Li, Xin Fan, Chenying Zhao, Hao Huang, Zhongxuan Luo:
Learning Deformable Image Registration From Optimization: Perspective, Modules, Bilevel Training and Beyond. 7688-7704 - Bolun Zheng, Shanxin Yuan, Chenggang Yan, Xiang Tian, Jiyong Zhang, Yaoqi Sun, Lin Liu, Ales Leonardis, Gregory G. Slabaugh:
Learning Frequency Domain Priors for Image Demoireing. 7705-7717 - Sungyong Baik, Junghoon Oh, Seokil Hong, Kyoung Mu Lee:
Learning to Forget for Meta-Learning via Task-and-Layer-Wise Attenuation. 7718-7730 - Kai Han, Yunhe Wang, Chang Xu, Chunjing Xu, Enhua Wu, Dacheng Tao:
Learning Versatile Convolution Filters for Efficient Visual Recognition. 7731-7746 - Zhiyong Yang, Qianqian Xu, Shilong Bao, Xiaochun Cao, Qingming Huang:
Learning With Multiclass AUC: Theory and Algorithms. 7747-7763 - Alberto Badías, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto:
MORPH-DSLAM: Model Order Reduction for Physics-Based Deformable SLAM. 7764-7777 - Jian Ding, Nan Xue, Gui-Song Xia, Xiang Bai, Wen Yang, Michael Ying Yang, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang:
Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges. 7778-7796 - Katharina Bieker, Bennet Gebken, Sebastian Peitz:
On the Treatment of Optimization Problems With L1 Penalty Terms via Multiobjective Continuation. 7797-7808 - Heng Guo, Zhipeng Mo, Boxin Shi, Feng Lu, Sai-Kit Yeung, Ping Tan, Yasuyuki Matsushita:
Patch-Based Uncalibrated Photometric Stereo Under Natural Illumination. 7809-7823 - Jibin Wu, Chenglin Xu, Xiao Han, Daquan Zhou, Malu Zhang, Haizhou Li, Kay Chen Tan:
Progressive Tandem Learning for Pattern Recognition With Deep Spiking Neural Networks. 7824-7840 - Deyang Jiang, Xiaochun Liu, Jianwen Luo, Zhengpeng Liao, Andreas Velten, Xin Lou:
Ring and Radius Sampling Based Phasor Field Diffraction Algorithm for Non-Line-of-Sight Reconstruction. 7841-7853 - Zhe Li, Tao Yu, Zerong Zheng, Yebin Liu:
Robust and Accurate 3D Self-Portraits in Seconds. 7854-7870 - Wenwen Pan, Yanling Yin, Xinchao Wang, Yongcheng Jing, Mingli Song:
Seek-and-Hide: Adversarial Steganography via Deep Reinforcement Learning. 7871-7884 - Xiankai Lu, Wenguan Wang, Jianbing Shen, David J. Crandall, Luc Van Gool:
Segmenting Objects From Relational Visual Data. 7885-7897 - Cheng Ma, Yongming Rao, Jiwen Lu, Jie Zhou:
Structure-Preserving Image Super-Resolution. 7898-7911 - Jinzhi Zhang, Mengqi Ji, Guangyu Wang, Zhiwei Xu, Shengjin Wang, Lu Fang:
SurRF: Unsupervised Multi-View Stereopsis by Learning Surface Radiance Field. 7912-7927 - Adnan Siraj Rakin, Zhezhi He, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Deliang Fan:
T-BFA: Targeted Bit-Flip Adversarial Weight Attack. 7928-7939 - Wei Zhao, Cai Xu, Ziyu Guan, Xunlian Wu, Wanqing Zhao, Qiguang Miao, Xiaofei He, Quan Wang:
TelecomNet: Tag-Based Weakly-Supervised Modally Cooperative Hashing Network for Image Retrieval. 7940-7954 - Weiwei Liu, Haobo Wang, Xiaobo Shen, Ivor W. Tsang:
The Emerging Trends of Multi-Label Learning. 7955-7974 - Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens:
Towards a Unified Quadrature Framework for Large-Scale Kernel Machines. 7975-7988 - Zhiyu Yao, Yunbo Wang, Jianmin Wang, Philip S. Yu, Mingsheng Long:
VideoDG: Generalizing Temporal Relations in Videos to Novel Domains. 7989-8004 - Ming-Ming Cheng, Shang-Hua Gao, Ali Borji, Yong-Qiang Tan, Zheng Lin, Meng Wang:
A Highly Efficient Model to Study the Semantics of Salient Object Detection. 8006-8021 - Kang Han, Wei Xiang, Eric Wang, Tao Huang:
A Novel Occlusion-Aware Vote Cost for Light Field Depth Estimation. 8022-8035 - Jie Xu, Wei Zhang, Fei Wang:
A(DP)22SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent With Differential Privacy. 8036-8047 - Yuliang Liu, Chunhua Shen, Lianwen Jin, Tong He, Peng Chen, Chongyu Liu, Hao Chen:
ABCNet v2: Adaptive Bezier-Curve Network for Real-Time End-to-End Text Spotting. 8048-8064 - Guangyao Chen, Peixi Peng, Xiangqian Wang, Yonghong Tian:
Adversarial Reciprocal Points Learning for Open Set Recognition. 8065-8081 - Bingfeng Zhang, Jimin Xiao, Jianbo Jiao, Yunchao Wei, Yao Zhao:
Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation. 8082-8096 - Liang Du, Xiaoqing Ye, Xiao Tan, Edward Johns, Bo Chen, Errui Ding, Xiangyang Xue, Jianfeng Feng:
AGO-Net: Association-Guided 3D Point Cloud Object Detection Network. 8097-8109 - Kaicheng Yu, René Ranftl, Mathieu Salzmann:
An Analysis of Super-Net Heuristics in Weight-Sharing NAS. 8110-8124 - Jie Li, Peng Wang, Kai Han, Yu Liu:
Anisotropic Convolutional Neural Networks for RGB-D Based Semantic Scene Completion. 8125-8138 - Xiaogang Wang, Marcelo H. Ang, Gim Hee Lee:
Cascaded Refinement Network for Point Cloud Completion With Self-Supervision. 8139-8150 - Weizhe Liu, Mathieu Salzmann, Pascal Fua:
Counting People by Estimating People Flows. 8151-8166 - Daniela O. Medley, Carlos Santiago, Jacinto C. Nascimento:
CyCoSeg: A Cyclic Collaborative Framework for Automated Medical Image Segmentation. 8167-8182 - Guo-Hua Wang, Yifan Ge, Jianxin Wu:
Distilling Knowledge by Mimicking Features. 8183-8195 - Jingjing Li, Zhekai Du, Lei Zhu, Zhengming Ding, Ke Lu, Heng Tao Shen:
Divergence-Agnostic Unsupervised Domain Adaptation by Adversarial Attacks. 8196-8211 - Aoxiang Fan, Jiayi Ma, Xingyu Jiang, Haibin Ling:
Efficient Deterministic Search With Robust Loss Functions for Geometric Model Fitting. 8212-8229 - Jiyang Xie, Zhanyu Ma, Dongliang Chang, Guoqiang Zhang, Jun Guo:
GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention. 8230-8248 - Defu Yang, Jiazhou Chen, Chenggang Yan, Minjeong Kim, Paul J. Laurienti, Martin Styner, Guorong Wu:
Group-Wise Hub Identification by Learning Common Graph Embeddings on Grassmannian Manifold. 8249-8260 - Peiqi Duan, Zihao W. Wang, Boxin Shi, Oliver Cossairt, Tie-Jun Huang, Aggelos K. Katsaggelos:
Guided Event Filtering: Synergy Between Intensity Images and Neuromorphic Events for High Performance Imaging. 8261-8275 - Baosheng Yu, Dacheng Tao:
Heatmap Regression via Randomized Rounding. 8276-8289 - David B. de Jong, Federico Paredes-Vallés, Guido C. H. E. de Croon:
How Do Neural Networks Estimate Optical Flow? A Neuropsychology-Inspired Study. 8290-8305 - Artsiom Sanakoyeu, Pingchuan Ma, Vadim Tschernezki, Björn Ommer:
Improving Deep Metric Learning by Divide and Conquer. 8306-8320 - Nian Liu, Long Li, Wangbo Zhao, Junwei Han, Ling Shao:
Instance-Level Relative Saliency Ranking With Graph Reasoning. 8321-8337 - Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham:
Learning Semantic Segmentation of Large-Scale Point Clouds With Random Sampling. 8338-8354 - Jiangxin Dong, Jinshan Pan, Jimmy S. Ren, Liang Lin, Jinhui Tang, Ming-Hsuan Yang:
Learning Spatially Variant Linear Representation Models for Joint Filtering. 8355-8370 - Yu-Chuan Su, Kristen Grauman:
Learning Spherical Convolution for $360^{\circ }$360∘ Recognition. 8371-8386 - Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang:
Learning to See Through Obstructions With Layered Decomposition. 8387-8402 - Kyungdon Joo, Pyojin Kim, Martial Hebert, In So Kweon, Hyoun Jin Kim:
Linear RGB-D SLAM for Structured Environments. 8403-8419 - Daniel Barath, Jana Noskova, Jiri Matas:
Marginalizing Sample Consensus. 8420-8432 - Mei Wang, Yaobin Zhang, Weihong Deng:
Meta Balanced Network for Fair Face Recognition. 8433-8448 - Tianwei Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang:
Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction. 8449-8464 - Gaurav Kumar Nayak, Konda Reddy Mopuri, Saksham Jain, Anirban Chakraborty:
Mining Data Impressions From Deep Models as Substitute for the Unavailable Training Data. 8465-8481 - Olly Styles, Tanaya Guha, Victor Sanchez:
Multi-Camera Trajectory Forecasting With Trajectory Tensors. 8482-8491 - Ziwei Zhang, Chi Su, Liang Zheng, Xiaodong Xie, Yuan Li:
On the Correlation Among Edge, Pose and Parsing. 8492-8507 - Lukasz Maziarka, Marek Smieja, Marcin Sendera, Lukasz Struski, Jacek Tabor, Przemyslaw Spurek:
OneFlow: One-Class Flow for Anomaly Detection Based on a Minimal Volume Region. 8508-8519 - Kaixuan Wei, Ying Fu, Yinqiang Zheng, Jiaolong Yang:
Physics-Based Noise Modeling for Extreme Low-Light Photography. 8520-8537 - Si Liu, Wentao Jiang, Chen Gao, Ran He, Jiashi Feng, Bo Li, Shuicheng Yan:
PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal. 8538-8551 - Zhijian Liu, Haotian Tang, Shengyu Zhao, Kevin Shao, Song Han:
PVNAS: 3D Neural Architecture Search With Point-Voxel Convolution. 8552-8568 - Wenhan Yang, Robby T. Tan, Jiashi Feng, Shiqi Wang, Bin Cheng, Jiaying Liu:
Recurrent Multi-Frame Deraining: Combining Physics Guidance and Adversarial Learning. 8569-8586 - Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong, Lei Li:
SOLO: A Simple Framework for Instance Segmentation. 8587-8601 - Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, Jiashi Feng:
Source Data-Absent Unsupervised Domain Adaptation Through Hypothesis Transfer and Labeling Transfer. 8602-8617 - Wenhao Li, Xiangfeng Wang, Bo Jin, Dijun Luo, Hongyuan Zha:
Structured Cooperative Reinforcement Learning With Time-Varying Composite Action Space. 8618-8634 - Martin Mirbauer, Miroslav Krabec, Jaroslav Krivánek, Elena Sikudová:
Survey and Evaluation of Neural 3D Shape Classification Approaches. 8635-8656 - Sanghyun Son, Jaeha Kim, Wei-Sheng Lai, Ming-Hsuan Yang, Kyoung Mu Lee:
Toward Real-World Super-Resolution via Adaptive Downsampling Models. 8657-8670 - Yi Zhang, Yue Zheng, Kun Qian, Guidong Zhang, Yunhao Liu, Chenshu Wu, Zheng Yang:
Widar3.0: Zero-Effort Cross-Domain Gesture Recognition With Wi-Fi. 8671-8688 - Carey E. Priebe, Cencheng Shen, Ningyuan Huang, Tianyi Chen:
A Simple Spectral Failure Mode for Graph Convolutional Networks. 8689-8693 - Haohang Xu, Hongkai Xiong, Guo-Jun Qi:
$K$K-Shot Contrastive Learning of Visual Features With Multiple Instance Augmentations. 8694-8700
Volume 44, Number 12, December 2022
- Yanxi Liu, James M. Rehg, Camillo J. Taylor, Ying Wu:
Introduction to the Special Section of CVPR 2017. 8702-8703 - Gao Huang, Zhuang Liu, Geoff Pleiss, Laurens van der Maaten, Kilian Q. Weinberger:
Convolutional Networks with Dense Connectivity. 8704-8716 - Triantafyllos Afouras, Joon Son Chung, Andrew W. Senior, Oriol Vinyals, Andrew Zisserman:
Deep Audio-Visual Speech Recognition. 8717-8727 - Mark Sheinin, Yoav Y. Schechner, Kiriakos N. Kutulakos:
Computational Imaging on the Electric Grid. 8728-8739 - Hiroki Okawa, Mihoko Shimano, Yuta Asano, Ryoma Bise, Ko Nishino, Imari Sato:
Estimation of Wetness and Color from a Single Multispectral Image. 8740-8753 - Shubham Tulsiani, Tinghui Zhou, Alexei A. Efros, Jitendra Malik:
Multi-View Supervision for Single-View Reconstruction via Differentiable Ray Consistency. 8754-8765 - James R. Clough, Nicholas Byrne, Ilkay Öksüz, Veronika A. Zimmer, Julia A. Schnabel, Andrew P. King:
A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology. 8766-8778 - Jiahui Pan, Jibin Gao, Wei-Shi Zheng:
Adaptive Action Assessment. 8779-8795 - Deng-Bao Wang, Min-Ling Zhang, Li Li:
Adaptive Graph Guided Disambiguation for Partial Label Learning. 8796-8811 - Tao Sun, Han Shen, Tianyi Chen, Dongsheng Li:
Adaptive Temporal Difference Learning With Linear Function Approximation. 8812-8824 - Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Mikhail Galkin, Sahand Sharifzadeh, Asja Fischer, Volker Tresp, Jens Lehmann:
Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. 8825-8845 - Lei Kang, Pau Riba, Marçal Rusiñol, Alicia Fornés, Mauricio Villegas:
Content and Style Aware Generation of Text-Line Images for Handwriting Recognition. 8846-8860 - Tianjiao Li, Xing-Ming Zhao, Limin Li:
Co-VAE: Drug-Target Binding Affinity Prediction by Co-Regularized Variational Autoencoders. 8861-8873 - Lin Wang, Kuk-Jin Yoon:
Deep Learning for HDR Imaging: State-of-the-Art and Future Trends. 8874-8895 - Jianbing Shen, Yuanpei Liu, Xingping Dong, Xiankai Lu, Fahad Shahbaz Khan, Steven C. H. Hoi:
Distilled Siamese Networks for Visual Tracking. 8896-8909 - Xiaobin Hu, Wenqi Ren, Jiaolong Yang, Xiaochun Cao, David Wipf, Bjoern H. Menze, Xin Tong, Hongbin Zha:
Face Restoration via Plug-and-Play 3D Facial Priors. 8910-8926 - Xiu-Shen Wei, Yi-Zhe Song, Oisin Mac Aodha, Jianxin Wu, Yuxin Peng, Jinhui Tang, Jian Yang, Serge J. Belongie:
Fine-Grained Image Analysis With Deep Learning: A Survey. 8927-8948 - Yongqin Xian, Bruno Korbar, Matthijs Douze, Lorenzo Torresani, Bernt Schiele, Zeynep Akata:
Generalized Few-Shot Video Classification With Video Retrieval and Feature Generation. 8949-8961 - Jameel Malik, Soshi Shimada, Ahmed Elhayek, Sk Aziz Ali, Christian Theobalt, Vladislav Golyanik, Didier Stricker:
HandVoxNet++: 3D Hand Shape and Pose Estimation Using Voxel-Based Neural Networks. 8962-8974 - Chanho Eom, Wonkyung Lee, Geon Lee, Bumsub Ham:
Disentangled Representations for Short-Term and Long-Term Person Re-Identification. 8975-8991 - Praveen Kumar Pokala, Raghu Vamshi Hemadri, Chandra Sekhar Seelamantula:
Iteratively Reweighted Minimax-Concave Penalty Minimization for Accurate Low-rank Plus Sparse Matrix Decomposition. 8992-9010 - Hamid Rezatofighi, Tianyu Zhu, Roman Kaskman, Farbod T. Motlagh, Javen Qinfeng Shi, Anton Milan, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid:
Learn to Predict Sets Using Feed-Forward Neural Networks. 9011-9025 - Nian Liu, Ni Zhang, Ling Shao, Junwei Han:
Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection. 9026-9042 - Yong-Lu Li, Yue Xu, Xinyu Xu, Xiaohan Mao, Cewu Lu:
Learning Single/Multi-Attribute of Object With Symmetry and Group. 9043-9055 - Dongze Lian, Xianing Chen, Jing Li, Weixin Luo, Shenghua Gao:
Locating and Counting Heads in Crowds With a Depth Prior. 9056-9072 - Songyang Zhang, Houwen Peng, Jianlong Fu, Yijuan Lu, Jiebo Luo:
Multi-Scale 2D Temporal Adjacency Networks for Moment Localization With Natural Language. 9073-9087 - Hieu Le, Dimitris Samaras:
Physics-Based Shadow Image Decomposition for Shadow Removal. 9088-9101 - Sangryul Jeon, Seungryong Kim, Dongbo Min, Kwanghoon Sohn:
Pyramidal Semantic Correspondence Networks. 9102-9118 - Tony Bonnaire, Aurélien Decelle, Nabila Aghanim:
Regularization of Mixture Models for Robust Principal Graph Learning. 9119-9130 - Juan Luis Gonzalez Bello, Munchurl Kim:
Self-Supervised Deep Monocular Depth Estimation With Ambiguity Boosting. 9131-9149 - Meng-Yu Jennifer Kuo, Satoshi Murai, Ryo Kawahara, Shohei Nobuhara, Ko Nishino:
Surface Normals and Shape From Water. 9150-9162 - Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock:
Total Deep Variation: A Stable Regularization Method for Inverse Problems. 9163-9180 - Hao Wang, Cheng Deng, Tongliang Liu, Dacheng Tao:
Transferable Coupled Network for Zero-Shot Sketch-Based Image Retrieval. 9181-9194 - Gianluca Agresti, Henrik Schäfer, Piergiorgio Sartor, Yalcin Incesu, Pietro Zanuttigh:
Unsupervised Domain Adaptation of Deep Networks for ToF Depth Refinement. 9195-9208 - K. J. Joseph, Jathushan Rajasegaran, Salman H. Khan, Fahad Shahbaz Khan, Vineeth N. Balasubramanian:
Incremental Object Detection via Meta-Learning. 9209-9216 - Hamad Ahmed, Ronnie B. Wilbur, Hari M. Bharadwaj, Jeffrey Mark Siskind:
Confounds in the Data - Comments on "Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features". 9217-9220 - Aviad Aberdam, Alona Golts, Michael Elad:
Ada-LISTA: Learned Solvers Adaptive to Varying Models. 9222-9235 - Xinyan Liang, Yuhua Qian, Qian Guo, Honghong Cheng, Jiye Liang:
AF: An Association-Based Fusion Method for Multi-Modal Classification. 9236-9254 - Fenglin Liu, Xian Wu, Chenyu You, Shen Ge, Yuexian Zou, Xu Sun:
Aligning Source Visual and Target Language Domains for Unpaired Video Captioning. 9255-9268 - Alexandros Lattas, Stylianos Moschoglou, Stylianos Ploumpis, Baris Gecer, Abhijeet Ghosh, Stefanos Zafeiriou:
AvatarMe++: Facial Shape and BRDF Inference With Photorealistic Rendering-Aware GANs. 9269-9284 - Huajie Shao, Zhisheng Xiao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher:
ControlVAE: Tuning, Analytical Properties, and Performance Analysis. 9285-9297 - Thomas Mensink, Jasper R. R. Uijlings, Alina Kuznetsova, Michael Gygli, Vittorio Ferrari:
Factors of Influence for Transfer Learning Across Diverse Appearance Domains and Task Types. 9298-9314 - Feiping Nie, Xiaowei Zhao, Rong Wang, Xuelong Li:
Fast Locality Discriminant Analysis With Adaptive Manifold Embedding. 9315-9330 - Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han:
GAN Compression: Efficient Architectures for Interactive Conditional GANs. 9331-9346 - Hsiang Hsu, Salman Salamatian, Flávio P. Calmon:
Generalizing Correspondence Analysis for Applications in Machine Learning. 9347-9362 - Jingwen He, Chao Dong, Yihao Liu, Yu Qiao:
Interactive Multi-Dimension Modulation for Image Restoration. 9363-9379 - Zhe Chen, Shohei Nobuhara, Ko Nishino:
Invertible Neural BRDF for Object Inverse Rendering. 9380-9395 - Chongyi Li, Chunle Guo, Linghao Han, Jun Jiang, Ming-Ming Cheng, Jinwei Gu, Chen Change Loy:
Low-Light Image and Video Enhancement Using Deep Learning: A Survey. 9396-9416 - Haifeng Li, Cong Xu, Lin Ma, Hongjian Bo, David Zhang:
MODENN: A Shallow Broad Neural Network Model Based on Multi-Order Descartes Expansion. 9417-9433 - Mathew Monfort, Bowen Pan, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva:
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding. 9434-9445 - Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas:
One Metric to Measure Them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks. 9446-9463 - Mingfang Zhang, Yinqiang Zheng, Feng Lu:
Optical Flow in the Dark. 9464-9476 - Onder Tutsoy:
Pharmacological, Non-Pharmacological Policies and Mutation: An Artificial Intelligence Based Multi-Dimensional Policy Making Algorithm for Controlling the Casualties of the Pandemic Diseases. 9477-9488 - Yang You, Yujing Lou, Ruoxi Shi, Qi Liu, Yu-Wing Tai, Lizhuang Ma, Weiming Wang, Cewu Lu:
PRIN/SPRIN: On Extracting Point-Wise Rotation Invariant Features. 9489-9502 - Rajkumar Theagarajan, Bir Bhanu:
Privacy Preserving Defense For Black Box Classifiers Against On-Line Adversarial Attacks. 9503-9520 - Ruoyi Du, Jiyang Xie, Zhanyu Ma, Dongliang Chang, Yi-Zhe Song, Jun Guo:
Progressive Learning of Category-Consistent Multi-Granularity Features for Fine-Grained Visual Classification. 9521-9535 - Yinpeng Dong, Shuyu Cheng, Tianyu Pang, Hang Su, Jun Zhu:
Query-Efficient Black-Box Adversarial Attacks Guided by a Transfer-Based Prior. 9536-9548 - David Charte, Francisco Charte, Francisco Herrera:
Reducing Data Complexity Using Autoencoders With Class-Informed Loss Functions. 9549-9560 - Urbano Miguel Nunes, Yiannis Demiris:
Robust Event-Based Vision Model Estimation by Dispersion Minimisation. 9561-9573 - Isinsu Katircioglu, Helge Rhodin, Victor Constantin, Jörg Spörri, Mathieu Salzmann, Pascal Fua:
Self-Supervised Human Detection and Segmentation via Background Inpainting. 9574-9588 - Darshan W. Bryner, Anuj Srivastava:
Shape Analysis of Functional Data With Elastic Partial Matching. 9589-9602 - Chenyu Gao, Qi Zhu, Peng Wang, Hui Li, Yuliang Liu, Anton van den Hengel, Qi Wu:
Structured Multimodal Attentions for TextVQA. 9603-9614 - Myungsub Choi, Janghoon Choi, Sungyong Baik, Tae Hyun Kim, Kyoung Mu Lee:
Test-Time Adaptation for Video Frame Interpolation via Meta-Learning. 9615-9628 - Chongxuan Li, Kun Xu, Jun Zhu, Jiashuo Liu, Bo Zhang:
Triple Generative Adversarial Networks. 9629-9640 - Bruno Artacho, Andreas E. Savakis:
UniPose+: A Unified Framework for 2D and 3D Human Pose Estimation in Images and Videos. 9641-9653 - Wentao Fan, Lin Yang, Nizar Bouguila:
Unsupervised Grouped Axial Data Modeling via Hierarchical Bayesian Nonparametric Models With Watson Distributions. 9654-9668 - Qing Zhang, Jin Zhou, Lei Zhu, Wei Sun, Chunxia Xiao, Wei-Shi Zheng:
Unsupervised Intrinsic Image Decomposition Using Internal Self-Similarity Cues. 9669-9686 - Marlon Marcon, Riccardo Spezialetti, Samuele Salti, Luciano Silva, Luigi Di Stefano:
Unsupervised Learning of Local Equivariant Descriptors for Point Clouds. 9687-9702 - Srijan Das, Rui Dai, Di Yang, François Brémond:
VPN++: Rethinking Video-Pose Embeddings for Understanding Activities of Daily Living. 9703-9717 - Abhijith Punnappurath, Michael S. Brown:
A Little Bit More: Bitplane-Wise Bit-Depth Recovery. 9718-9724 - Xuelong Li, Hongyuan Zhang, Rui Zhang:
Adaptive Graph Auto-Encoder for General Data Clustering. 9725-9732 - Caixia Yan, Xiaojun Chang, Zhihui Li, Weili Guan, Zongyuan Ge, Lei Zhu, Qinghua Zheng:
ZeroNAS: Differentiable Generative Adversarial Networks Search for Zero-Shot Learning. 9733-9740 - Alan Lukezic, Jirí Matas, Matej Kristan:
A Discriminative Single-Shot Segmentation Network for Visual Object Tracking. 9742-9755 - Xin Luo, Hao Wu, Zhi Wang, Jianjun Wang, Deyu Meng:
A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation. 9756-9773 - Xu Chen, Brett Wujek:
A Unified Framework for Automatic Distributed Active Learning. 9774-9786 - Florian Hirschberger, Dennis Forster, Jörg Lücke:
A Variational EM Acceleration for Efficient Clustering at Very Large Scales. 9787-9801 - Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Tat-Jun Chin, Chunhua Shen, Ian D. Reid:
Auto-Rectify Network for Unsupervised Indoor Depth Estimation. 9802-9813 - Le Yang, Junwei Han, Tao Zhao, Tianwei Lin, Dingwen Zhang, Jianxin Chen:
Background-Click Supervision for Temporal Action Localization. 9814-9829 - Shuo Yang, Songhua Wu, Tongliang Liu, Min Xu:
Bridging the Gap Between Few-Shot and Many-Shot Learning via Distribution Calibration. 9830-9843 - Di Hu, Yake Wei, Rui Qian, Weiyao Lin, Ruihua Song, Ji-Rong Wen:
Class-Aware Sounding Objects Localization via Audiovisual Correspondence. 9844-9859 - Jun-Yi Hang, Min-Ling Zhang:
Collaborative Learning of Label Semantics and Deep Label-Specific Features for Multi-Label Classification. 9860-9871 - Songnam Hong, Jeongmin Chae:
Communication-Efficient Randomized Algorithm for Multi-Kernel Online Federated Learning. 9872-9886 - Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Lingbo Liu, Liang Lin:
Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph Learning. 9887-9903 - Zechao Li, Yanpeng Sun, Liyan Zhang, Jinhui Tang:
CTNet: Context-Based Tandem Network for Semantic Segmentation. 9904-9917 - Hehe Fan, Xin Yu, Yi Yang, Mohan S. Kankanhalli:
Deep Hierarchical Representation of Point Cloud Videos via Spatio-Temporal Decomposition. 9918-9930 - Eunju Cha, Chanseok Lee, Mooseok Jang, Jong Chul Ye:
DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval. 9931-9943 - Stefano Melacci, Gabriele Ciravegna, Angelo Sotgiu, Ambra Demontis, Battista Biggio, Marco Gori, Fabio Roli:
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers. 9944-9959 - Jiangxin Dong, Stefan Roth, Bernt Schiele:
DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring. 9960-9976 - Alaa Maalouf, Ibrahim Jubran, Dan Feldman:
Fast and Accurate Least-Mean-Squares Solvers for High Dimensional Data. 9977-9994 - Przemyslaw Spurek, Maciej Zieba, Jacek Tabor, Tomasz Trzcinski:
General Hypernetwork Framework for Creating 3D Point Clouds. 9995-10008 - Yujiao Shi, Dylan Campbell, Xin Yu, Hongdong Li:
Geometry-Guided Street-View Panorama Synthesis From Satellite Imagery. 10009-10022 - Wei Peng, Tuomas Varanka, Abdelrahman Mostafa, Henglin Shi, Guoying Zhao:
Hyperbolic Deep Neural Networks: A Survey. 10023-10044 - Risheng Liu, Jiaxin Gao, Jin Zhang, Deyu Meng, Zhouchen Lin:
Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective: A Survey and Beyond. 10045-10067 - Jiabao Lei, Kui Jia, Yi Ma:
Learning and Meshing From Deep Implicit Surface Networks Using an Efficient Implementation of Analytic Marching. 10068-10086 - Arren Glover, Aiko Dinale, Leandro de Souza Rosa, Simeon Bamford, Chiara Bartolozzi:
luvHarris: A Practical Corner Detector for Event-Cameras. 10087-10098 - Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, Barbara Caputo:
Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation. 10099-10113 - Yunsong Zhou, Yuan He, Hongzi Zhu, Cheng Wang, Hongyang Li, Qinhong Jiang:
MonoEF: Extrinsic Parameter Free Monocular 3D Object Detection. 10114-10128 - Jiajing Zhu, Yongguo Liu, Yun Zhang, Zhi Chen, Xindong Wu:
Multi-Attribute Discriminative Representation Learning for Prediction of Adverse Drug-Drug Interaction. 10129-10144 - Martin Fisch, Ronald Clark:
Orientation Keypoints for 6D Human Pose Estimation. 10145-10158 - Yongbin Liao, Hongyuan Zhu, Yanggang Zhang, Chuangguan Ye, Tao Chen, Jiayuan Fan:
Point Cloud Instance Segmentation With Semi-Supervised Bounding-Box Mining. 10159-10170 - Jingyu Wang, Hongmei Wang, Feiping Nie, Xuelong Li:
Ratio Sum Versus Sum Ratio for Linear Discriminant Analysis. 10171-10185 - Gilmer Valdes, Jerome H. Friedman, Fei Jiang, Efstathios D. Gennatas:
Representational Gradient Boosting: Backpropagation in the Space of Functions. 10186-10195 - Runwen Hu, Shijun Xiang:
Reversible Data Hiding By Using CNN Prediction and Adaptive Embedding. 10196-10208 - Yitian Yuan, Lin Ma, Wenwu Zhu:
Syntax Customized Video Captioning by Imitating Exemplar Sentences. 10209-10221 - Wenjie Shi, Gao Huang, Shiji Song, Cheng Wu:
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning. 10222-10235 - Gilmer Valdes, Yannet Interian, Efstathios D. Gennatas, Mark J. van der Laan:
The Conditional Super Learner. 10236-10243 - Guo Zhong, Chi-Man Pun:
Improved Normalized Cut for Multi-View Clustering. 10244-10251 - Noam Malali, Yosi Keller:
Learning to Embed Semantic Similarity for Joint Image-Text Retrieval. 10252-10260 - Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yuchao Gu, Ming-Ming Cheng:
MobileSal: Extremely Efficient RGB-D Salient Object Detection. 10261-10269 - Meng Liu, Zhengyang Wang, Shuiwang Ji:
Non-Local Graph Neural Networks. 10270-10276
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