Table of Contents

• GOCA: Guided Online Cluster Assignment for Self-supervised Video Representation LearningHuseyin Coskun, Alireza Zareian, Joshua L. Moore, Federico Tombari, Chen Wang. 1-22 [doi]
• Constrained Mean Shift Using Distant yet Related Neighbors for Representation LearningK. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Kossar Pourahmadi, Akshayvarun Subramanya, Hamed Pirsiavash. 23-41 [doi]
• Revisiting the Critical Factors of Augmentation-Invariant Representation LearningJunqiang Huang, Xiangwen Kong, Xiangyu Zhang 0005. 42-58 [doi]
• CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and SegmentationLu Qi, Jason Kuen, Zhe Lin 0001, Jiuxiang Gu, Fengyun Rao, Dian Li, Weidong Guo, Zhen Wen, Ming-Hsuan Yang 0001, Jiaya Jia. 59-77 [doi]
• Dual Adaptive Transformations for Weakly Supervised Point Cloud SegmentationZhonghua Wu, Yicheng Wu 0001, Guosheng Lin, Jianfei Cai 0001, Chen Qian. 78-96 [doi]
• Semantic-Aware Fine-Grained CorrespondenceYingdong Hu, Renhao Wang, Kaifeng Zhang, Yang Gao. 97-115 [doi]
• Self-Supervised Classification NetworkElad Amrani, Leonid Karlinsky, Alexander M. Bronstein. 116-132 [doi]
• Data Invariants to Understand Unsupervised Out-of-Distribution DetectionLars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila. 133-150 [doi]
• Domain Invariant Masked Autoencoders for Self-supervised Learning from Multi-domainsHaiyang Yang, Shixiang Tang, Meilin Chen, Yizhou Wang, Feng Zhu 0006, Lei Bai 0001, Rui Zhao 0001, Wanli Ouyang. 151-168 [doi]
• Semi-supervised Object Detection via VC LearningChangrui Chen, Kurt Debattista, Jungong Han. 169-185 [doi]
• Completely Self-supervised Crowd Counting via Distribution MatchingDeepak Babu Sam, Abhinav Agarwalla, Jimmy Joseph, Vishwanath A. Sindagi, R. Venkatesh Babu, Vishal M. Patel. 186-204 [doi]
• Coarse-To-Fine Incremental Few-Shot LearningXiang Xiang, Yuwen Tan, Qian Wan, Jing Ma, Alan L. Yuille, Gregory D. Hager. 205-222 [doi]
• Learning Unbiased Transferability for Domain Adaptation by Uncertainty ModelingJian Hu, Haowen Zhong, Fei Yang, Shaogang Gong, Guile Wu, Junchi Yan. 223-241 [doi]
• Learn2Augment: Learning to Composite Videos for Data Augmentation in Action RecognitionShreyank N. Gowda, Marcus Rohrbach, Frank Keller, Laura Sevilla-Lara. 242-259 [doi]
• CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in SegmentationRenhao Wang, Hang Zhao, Yang Gao. 260-277 [doi]
• PSS: Progressive Sample Selection for Open-World Visual Representation LearningTianyue Cao, Yongxin Wang, Yifan Xing, Tianjun Xiao, Tong He, Zheng Zhang, Hao Zhou, Joseph Tighe. 278-294 [doi]
• Improving Self-supervised Lightweight Model Learning via Hard-Aware Metric DistillationHao Liu, Mang Ye. 295-311 [doi]
• Object Discovery via Contrastive Learning for Weakly Supervised Object DetectionJinhwan Seo, Wonho Bae, Danica J. Sutherland, Junhyug Noh, Daijin Kim 0001. 312-329 [doi]
• Stochastic Consensus: Enhancing Semi-Supervised Learning with Consistency of Stochastic ClassifiersHui Tang, Lin Sun, Kui Jia. 330-346 [doi]
• DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion ModelBoah Kim, Inhwa Han, Jong Chul Ye. 347-364 [doi]
• Semi-Leak: Membership Inference Attacks Against Semi-supervised LearningXinlei He, Hongbin Liu 0005, Neil Zhenqiang Gong, Yang Zhang. 365-381 [doi]
• OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised LearningMamshad Nayeem Rizve, Navid Kardan, Salman Khan 0001, Fahad Shahbaz Khan, Mubarak Shah. 382-401 [doi]
• Embedding Contrastive Unsupervised Features to Cluster In- And Out-of-Distribution Noise in Corrupted Image DatasetsPaul Albert, Eric Arazo, Noel E. O'Connor, Kevin McGuinness. 402-419 [doi]
• Unsupervised Few-Shot Image Classification by Learning Features into Clustering SpaceShuo Li 0007, Fang Liu 0001, Zehua Hao, Kaibo Zhao, Licheng Jiao. 420-436 [doi]
• Towards Realistic Semi-supervised LearningMamshad Nayeem Rizve, Navid Kardan, Mubarak Shah. 437-455 [doi]
• Masked Siamese Networks for Label-Efficient LearningMahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Mike Rabbat, Nicolas Ballas. 456-473 [doi]
• Natural Synthetic Anomalies for Self-supervised Anomaly Detection and LocalizationHannah M. Schlüter, Jeremy Tan, Benjamin Hou, Bernhard Kainz. 474-489 [doi]
• Understanding Collapse in Non-contrastive Siamese Representation LearningAlexander C. Li, Alexei A. Efros, Deepak Pathak. 490-505 [doi]
• Federated Self-supervised Learning for Video UnderstandingYasar Abbas Ur Rehman, Yan Gao, Jiajun Shen, Pedro Porto Buarque de Gusmão, Nicholas D. Lane. 506-522 [doi]
• Towards Efficient and Effective Self-supervised Learning of Visual RepresentationsSravanti Addepalli, Kaushal Bhogale, Priyam Dey, R. Venkatesh Babu. 523-538 [doi]
• DSR - A Dual Subspace Re-Projection Network for Surface Anomaly DetectionVitjan Zavrtanik, Matej Kristan, Danijel Skocaj. 539-554 [doi]
• PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point CloudsZhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang 0002, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov. 555-572 [doi]
• MVSTER: Epipolar Transformer for Efficient Multi-view StereoXiaofeng Wang, Zheng Zhu, Guan Huang, Fangbo Qin, Yun Ye, Yijia He, Xu Chi, Xingang Wang 0003. 573-591 [doi]
• RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the WildJason Y. Zhang 0001, Deva Ramanan, Shubham Tulsiani. 592-611 [doi]
• R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View SynthesisHuan Wang 0014, Jian Ren, Zeng Huang, Kyle Olszewski, Menglei Chai, Yun Fu 0001, Sergey Tulyakov. 612-629 [doi]
• KD-MVS: Knowledge Distillation Based Self-supervised Learning for Multi-view StereoYikang Ding, Qingtian Zhu, Xiangyue Liu, Wentao Yuan, Haotian Zhang, Chi Zhang. 630-646 [doi]
• SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse PanoramasJohn Lambert, Yuguang Li, Ivaylo Boyadzhiev, Lambert Wixson, Manjunath Narayana, Will Hutchcroft, James Hays, Frank Dellaert, Sing Bing Kang. 647-664 [doi]
• RC-MVSNet: Unsupervised Multi-View Stereo with Neural RenderingDi Chang, Aljaz Bozic, Tong Zhang, Qingsong Yan, Yingcong Chen, Sabine Süsstrunk, Matthias Nießner. 665-680 [doi]
• Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation using Bounding BoxesJulian Chibane, Francis Engelmann, Tuan Anh Tran 0006, Gerard Pons-Moll. 681-699 [doi]
• NeILF: Neural Incident Light Field for Physically-based Material EstimationYao Yao 0008, Jingyang Zhang, Jingbo Liu, Yihang Qu, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan. 700-716 [doi]
• ARF: Artistic Radiance FieldsKai Zhang, Nicholas I. Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, Noah Snavely. 717-733 [doi]
• Multiview Stereo with Cascaded Epipolar RAFTZeyu Ma, Zachary Teed, Jia Deng 0001. 734-750 [doi]