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ORCID17th ECCV 2022: Tel Aviv, Israel - Volume 26
- Shai Avidan, Gabriel J. Brostow
, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXVI. Lecture Notes in Computer Science 13686, Springer 2022, ISBN 978-3-031-19808-3 - Linfeng Zhang, Xin Chen, Junbo Zhang, Runpei Dong, Kaisheng Ma:
Contrastive Deep Supervision. 1-19 - Quan Cui, Bingchen Zhao, Zhao-Min Chen, Borui Zhao, Renjie Song, Boyan Zhou, Jiajun Liang, Osamu Yoshie:
Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective. 20-37 - Meng Cao, Tianyu Yang, Junwu Weng, Can Zhang, Jue Wang, Yuexian Zou:
LocVTP: Video-Text Pre-training for Temporal Localization. 38-56 - Jiawei Ma, Guangxing Han, Shiyuan Huang, Yuncong Yang, Shih-Fu Chang:
Few-Shot End-to-End Object Detection via Constantly Concentrated Encoding Across Heads. 57-73 - Yannick Strümpler, Janis Postels, Ren Yang, Luc Van Gool, Federico Tombari:
Implicit Neural Representations for Image Compression. 74-91 - Emre Aksan, Shugao Ma, Akin Caliskan, Stanislav Pidhorskyi, Alexander Richard, Shih-En Wei, Jason M. Saragih, Otmar Hilliges:
LiP-Flow: Learning Inference-Time Priors for Codec Avatars via Normalizing Flows in Latent Space. 92-110 - Qihang Zhang, Zhenghao Peng, Bolei Zhou:
Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining. 111-128 - Jiachen Lu, Zheyuan Zhou, Xiatian Zhu, Hang Xu, Li Zhang:
Learning Ego 3D Representation as Ray Tracing. 129-144 - Rui Qian, Shuangrui Ding, Xian Liu, Dahua Lin:
Static and Dynamic Concepts for Self-supervised Video Representation Learning. 145-164 - Xin Dong, Sai Qian Zhang, Ang Li, H. T. Kung:
SphereFed: Hyperspherical Federated Learning. 165-184 - Yuxiao Chen, Long Zhao, Jianbo Yuan, Yu Tian, Zhaoyang Xia, Shijie Geng, Ligong Han, Dimitris N. Metaxas:
Hierarchically Self-supervised Transformer for Human Skeleton Representation Learning. 185-202 - Mingda Wang, Canqian Yang, Yi Xu:
Posterior Refinement on Metric Matrix Improves Generalization Bound in Metric Learning. 203-218 - Yajing Kong, Liu Liu, Zhen Wang, Dacheng Tao:
Balancing Stability and Plasticity Through Advanced Null Space in Continual Learning. 219-236 - Yuting Gao, Jia-Xin Zhuang, Shaohui Lin, Hao Cheng, Xing Sun, Ke Li, Chunhua Shen:
DisCo: Remedying Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning. 237-253 - Liyuan Wang, Xingxing Zhang, Qian Li, Jun Zhu, Yi Zhong:
CoSCL: Cooperation of Small Continual Learners is Stronger Than a Big One. 254-271 - Hao Huang, Cheng Chen, Yi Fang:
Manifold Adversarial Learning for Cross-domain 3D Shape Representation. 272-289 - Yuanzheng Ci, Chen Lin, Lei Bai, Wanli Ouyang:
Fast-MoCo: Boost Momentum-Based Contrastive Learning with Combinatorial Patches. 290-306 - Boyan Jiang, Xinlin Ren, Mingsong Dou, Xiangyang Xue, Yanwei Fu, Yinda Zhang:
LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling. 307-326 - Xingjian Zhen, Zihang Meng, Rudrasis Chakraborty, Vikas Singh:
On the Versatile Uses of Partial Distance Correlation in Deep Learning. 327-346 - Lujun Li:
Self-Regulated Feature Learning via Teacher-free Feature Distillation. 347-363 - Mingfu Liang, Jiahuan Zhou, Wei Wei, Ying Wu:
Balancing Between Forgetting and Acquisition in Incremental Subpopulation Learning. 364-380 - Xulin Li, Yan Lu, Bin Liu, Yating Liu, Guojun Yin, Qi Chu, Jinyang Huang, Feng Zhu, Rui Zhao, Nenghai Yu:
Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification. 381-398 - Lizhao Liu, Shangxin Huang, Zhuangwei Zhuang, Ran Yang, Mingkui Tan, Yaowei Wang:
DAS: Densely-Anchored Sampling for Deep Metric Learning. 399-417 - Yuhang Zhang, Chengrui Wang, Xu Ling, Weihong Deng:
Learn from All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition. 418-434 - Michael Kirchhof, Karsten Roth, Zeynep Akata, Enkelejda Kasneci:
A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning. 435-454 - Jihao Liu, Boxiao Liu, Hang Zhou, Hongsheng Li, Yu Liu:
TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers. 455-471 - Teng Xi, Yifan Sun, Deli Yu, Bi Li, Nan Peng, Gang Zhang, Xinyu Zhang, Zhigang Wang, Jinwen Chen, Jian Wang, Lufei Liu, Haocheng Feng, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang:
UFO: Unified Feature Optimization. 472-488 - Ziyang Chen, David F. Fouhey, Andrew Owens:
Sound Localization by Self-supervised Time Delay Estimation. 489-508 - Yinan He, Gengshi Huang, Siyu Chen, Jianing Teng, Kun Wang, Zhenfei Yin, Lu Sheng, Ziwei Liu, Yu Qiao, Jing Shao:
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation. 509-528 - Norman Mu, Alexander Kirillov, David A. Wagner, Saining Xie:
SLIP: Self-supervision Meets Language-Image Pre-training. 529-544 - Jianing Qian, Anastasios Panagopoulos, Dinesh Jayaraman:
Discovering Deformable Keypoint Pyramids. 545-561 - Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici:
Neural Video Compression Using GANs for Detail Synthesis and Propagation. 562-578 - Jonathan Kahana, Yedid Hoshen:
A Contrastive Objective for Learning Disentangled Representations. 579-595 - John Seon Keun Yi, Minseok Seo, Jongchan Park, Dong-Geol Choi:
PT4AL: Using Self-supervised Pretext Tasks for Active Learning. 596-612 - Haokui Zhang, Wenze Hu, Xiaoyu Wang:
ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and Transformer. 613-630 - Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister:
DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning. 631-648 - Shixiang Tang, Feng Zhu, Lei Bai, Rui Zhao, Chenyu Wang, Wanli Ouyang:
Unifying Visual Contrastive Learning for Object Recognition from a Graph Perspective. 649-667 - Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Yubei Chen, Yann LeCun:
Decoupled Contrastive Learning. 668-684 - Philip Müller, Georgios Kaissis, Congyu Zou, Daniel Rueckert:
Joint Learning of Localized Representations from Medical Images and Reports. 685-701 - Senthil Purushwalkam, Pedro Morgado, Abhinav Gupta:
The Challenges of Continuous Self-Supervised Learning. 702-721 - Zhixin Ling, Zhen Xing, Jian Zhou, Xiangdong Zhou:
Conditional Stroke Recovery for Fine-Grained Sketch-Based Image Retrieval. 722-738 - Xuanyu Yi, Kaihua Tang, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang:
Identifying Hard Noise in Long-Tailed Sample Distribution. 739-756
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