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ORCID17th ECCV 2022: Tel Aviv, Israel - Volume 31
- 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 XXXI. Lecture Notes in Computer Science 13691, Springer 2022, ISBN 978-3-031-19820-5 - Huseyin Coskun, Alireza Zareian, Joshua L. Moore, Federico Tombari, Chen Wang:
GOCA: Guided Online Cluster Assignment for Self-supervised Video Representation Learning. 1-22 - K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Kossar Pourahmadi, Akshayvarun Subramanya, Hamed Pirsiavash:
Constrained Mean Shift Using Distant yet Related Neighbors for Representation Learning. 23-41 - Junqiang Huang, Xiangwen Kong, Xiangyu Zhang:
Revisiting the Critical Factors of Augmentation-Invariant Representation Learning. 42-58 - Lu Qi, Jason Kuen, Zhe Lin, Jiuxiang Gu, Fengyun Rao, Dian Li, Weidong Guo, Zhen Wen, Ming-Hsuan Yang, Jiaya Jia:
CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation. 59-77 - Zhonghua Wu, Yicheng Wu, Guosheng Lin, Jianfei Cai, Chen Qian:
Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation. 78-96 - Yingdong Hu, Renhao Wang, Kaifeng Zhang, Yang Gao:
Semantic-Aware Fine-Grained Correspondence. 97-115 - Elad Amrani, Leonid Karlinsky, Alexander M. Bronstein:
Self-Supervised Classification Network. 116-132 - Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila:
Data Invariants to Understand Unsupervised Out-of-Distribution Detection. 133-150 - Haiyang Yang, Shixiang Tang, Meilin Chen, Yizhou Wang, Feng Zhu, Lei Bai, Rui Zhao, Wanli Ouyang:
Domain Invariant Masked Autoencoders for Self-supervised Learning from Multi-domains. 151-168 - Changrui Chen, Kurt Debattista, Jungong Han:
Semi-supervised Object Detection via VC Learning. 169-185 - Deepak Babu Sam, Abhinav Agarwalla, Jimmy Joseph, Vishwanath A. Sindagi, R. Venkatesh Babu, Vishal M. Patel:
Completely Self-supervised Crowd Counting via Distribution Matching. 186-204 - Xiang Xiang, Yuwen Tan, Qian Wan, Jing Ma, Alan L. Yuille, Gregory D. Hager:
Coarse-To-Fine Incremental Few-Shot Learning. 205-222 - Jian Hu, Haowen Zhong, Fei Yang, Shaogang Gong, Guile Wu, Junchi Yan:
Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling. 223-241 - Shreyank N. Gowda, Marcus Rohrbach, Frank Keller, Laura Sevilla-Lara:
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition. 242-259 - Renhao Wang, Hang Zhao, Yang Gao:
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation. 260-277 - Tianyue Cao, Yongxin Wang, Yifan Xing, Tianjun Xiao, Tong He, Zheng Zhang, Hao Zhou, Joseph Tighe:
PSS: Progressive Sample Selection for Open-World Visual Representation Learning. 278-294 - Hao Liu, Mang Ye:
Improving Self-supervised Lightweight Model Learning via Hard-Aware Metric Distillation. 295-311 - Jinhwan Seo, Wonho Bae, Danica J. Sutherland, Junhyug Noh, Daijin Kim:
Object Discovery via Contrastive Learning for Weakly Supervised Object Detection. 312-329 - Hui Tang, Lin Sun, Kui Jia:
Stochastic Consensus: Enhancing Semi-Supervised Learning with Consistency of Stochastic Classifiers. 330-346 - Boah Kim, Inhwa Han, Jong Chul Ye:
DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model. 347-364 - Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang:
Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning. 365-381 - Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah:
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning. 382-401 - Paul Albert, Eric Arazo, Noel E. O'Connor, Kevin McGuinness:
Embedding Contrastive Unsupervised Features to Cluster In- And Out-of-Distribution Noise in Corrupted Image Datasets. 402-419 - Shuo Li, Fang Liu, Zehua Hao, Kaibo Zhao, Licheng Jiao:
Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space. 420-436 - Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah:
Towards Realistic Semi-supervised Learning. 437-455 - Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Mike Rabbat, Nicolas Ballas:
Masked Siamese Networks for Label-Efficient Learning. 456-473 - Hannah M. Schlüter, Jeremy Tan, Benjamin Hou, Bernhard Kainz:
Natural Synthetic Anomalies for Self-supervised Anomaly Detection and Localization. 474-489 - Alexander C. Li, Alexei A. Efros, Deepak Pathak:
Understanding Collapse in Non-contrastive Siamese Representation Learning. 490-505 - Yasar Abbas Ur Rehman, Yan Gao, Jiajun Shen, Pedro Porto Buarque de Gusmão, Nicholas D. Lane:
Federated Self-supervised Learning for Video Understanding. 506-522 - Sravanti Addepalli, Kaushal Bhogale, Priyam Dey, R. Venkatesh Babu:
Towards Efficient and Effective Self-supervised Learning of Visual Representations. 523-538 - Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj:
DSR - A Dual Subspace Re-Projection Network for Surface Anomaly Detection. 539-554 - Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov:
PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds. 555-572 - Xiaofeng Wang, Zheng Zhu, Guan Huang, Fangbo Qin, Yun Ye, Yijia He, Xu Chi, Xingang Wang:
MVSTER: Epipolar Transformer for Efficient Multi-view Stereo. 573-591 - Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani:
RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild. 592-611 - Huan Wang, Jian Ren, Zeng Huang, Kyle Olszewski, Menglei Chai, Yun Fu, Sergey Tulyakov:
R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis. 612-629 - Yikang Ding, Qingtian Zhu, Xiangyue Liu, Wentao Yuan, Haotian Zhang, Chi Zhang:
KD-MVS: Knowledge Distillation Based Self-supervised Learning for Multi-view Stereo. 630-646 - John Lambert, Yuguang Li, Ivaylo Boyadzhiev, Lambert Wixson, Manjunath Narayana, Will Hutchcroft, James Hays, Frank Dellaert, Sing Bing Kang:
SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas. 647-664 - Di Chang, Aljaz Bozic, Tong Zhang, Qingsong Yan, Yingcong Chen, Sabine Süsstrunk, Matthias Nießner:
RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering. 665-680 - Julian Chibane, Francis Engelmann, Tuan Anh Tran, Gerard Pons-Moll:
Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation using Bounding Boxes. 681-699 - Yao Yao, Jingyang Zhang, Jingbo Liu, Yihang Qu, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan:
NeILF: Neural Incident Light Field for Physically-based Material Estimation. 700-716 - Kai Zhang, Nicholas I. Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, Noah Snavely:
ARF: Artistic Radiance Fields. 717-733 - Zeyu Ma, Zachary Teed, Jia Deng:
Multiview Stereo with Cascaded Epipolar RAFT. 734-750
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