Abstract is missing.
- Relative Contrastive Loss for Unsupervised Representation LearningShixiang Tang, Feng Zhu, Lei Bai 0001, Rui Zhao 0001, Wanli Ouyang. 1-18 [doi]
- Fine-Grained Fashion Representation Learning by Online Deep ClusteringYang Jiao, Ning Xie, Yan Gao, Chien-Chih Wang, Yi Sun. 19-35 [doi]
- NashAE: Disentangling Representations Through Adversarial Covariance MinimizationEric C. Yeats, Frank Liu, David Womble, Hai Helen Li. 36-51 [doi]
- A Gyrovector Space Approach for Symmetric Positive Semi-definite Matrix LearningXuan Son Nguyen. 52-68 [doi]
- Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-trainingHaoxuan You, Luowei Zhou, Bin Xiao 0004, Noel Codella, Yu Cheng, Ruochen Xu, Shih-Fu Chang, Lu Yuan. 69-87 [doi]
- Contrasting Quadratic Assignments for Set-Based Representation LearningArtem Moskalev, Ivan Sosnovik, Volker Fischer, Arnold W. M. Smeulders. 88-104 [doi]
- Class-Incremental Learning with Cross-Space Clustering and Controlled TransferArjun Ashok, K. J. Joseph, Vineeth N. Balasubramanian. 105-122 [doi]
- Object Discovery and Representation NetworksOlivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic. 123-143 [doi]
- Trading Positional Complexity vs Deepness in Coordinate NetworksJianqiao Zheng, Sameera Ramasinghe, Xueqian Li, Simon Lucey. 144-160 [doi]
- MVDG: A Unified Multi-view Framework for Domain GeneralizationJian Zhang, Lei Qi 0001, Yinghuan Shi, Yang Gao. 161-177 [doi]
- Panoptic Scene Graph GenerationJingkang Yang, Yi Zhe Ang, Zujin Guo, Kaiyang Zhou, Wayne Zhang, Ziwei Liu 0002. 178-196 [doi]
- Object-Compositional Neural Implicit SurfacesQianyi Wu, Xian Liu, Yuedong Chen, Kejie Li, Chuanxia Zheng, Jianfei Cai 0001, Jianmin Zheng. 197-213 [doi]
- RigNet: Repetitive Image Guided Network for Depth CompletionZhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang 0005, Jun Li 0027, Jian Yang 0003. 214-230 [doi]
- FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic UpsamplingHao Lu 0003, Wenze Liu, Hongtao Fu, Zhiguo Cao 0001. 231-247 [doi]
- LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic SegmentationZeyu Hu, Xuyang Bai, Runze Zhang, Xin Wang, Guangyuan Sun, Hongbo Fu, Chiew-Lan Tai. 248-265 [doi]
- Hierarchical Memory Learning for Fine-Grained Scene Graph GenerationYouming Deng, Yansheng Li 0001, Yongjun Zhang, Xiang Xiang, Jian Wang, Jingdong Chen, Jiayi Ma 0001. 266-283 [doi]
- DODA: Data-Oriented Sim-to-Real Domain Adaptation for 3D Semantic SegmentationRunyu Ding, Jihan Yang, Li Jiang, Xiaojuan Qi. 284-303 [doi]
- MTFormer: Multi-task Learning via Transformer and Cross-Task ReasoningXiaogang Xu, Hengshuang Zhao, Vibhav Vineet, Ser-Nam Lim, Antonio Torralba 0001. 304-321 [doi]
- MonoPLFlowNet: Permutohedral Lattice FlowNet for Real-Scale 3D Scene Flow Estimation with Monocular ImagesRunfa Li, Truong Nguyen. 322-339 [doi]
- TO-Scene: A Large-Scale Dataset for Understanding 3D Tabletop ScenesMutian Xu, Pei Chen, Haolin Liu, Xiaoguang Han 0001. 340-356 [doi]
- Is It Necessary to Transfer Temporal Knowledge for Domain Adaptive Video Semantic Segmentation?Xinyi Wu, Zhenyao Wu, Jin Wan, Lili Ju, Song Wang. 357-373 [doi]
- Meta Spatio-Temporal Debiasing for Video Scene Graph GenerationLi Xu, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Jun Liu 0036. 374-390 [doi]
- Improving the Reliability for Confidence EstimationHaoxuan Qu, Yanchao Li, Lin Geng Foo, Jason Kuen, Jiuxiang Gu, Jun Liu 0036. 391-408 [doi]
- Fine-Grained Scene Graph Generation with Data TransferAo Zhang, Yuan Yao, Qianyu Chen, Wei Ji 0008, Zhiyuan Liu, Maosong Sun, Tat-Seng Chua. 409-424 [doi]
- Pose2Room: Understanding 3D Scenes from Human ActivitiesYinyu Nie, Angela Dai, Xiaoguang Han 0001, Matthias Nießner. 425-443 [doi]
- Towards Hard-Positive Query Mining for DETR-Based Human-Object Interaction DetectionXubin Zhong, Changxing Ding, Zijian Li 0011, Shaoli Huang. 444-460 [doi]
- Discovering Human-Object Interaction Concepts via Self-Compositional LearningZhi Hou, Baosheng Yu, Dacheng Tao. 461-478 [doi]
- Primitive-Based Shape Abstraction via Nonparametric Bayesian InferenceYuwei Wu, Weixiao Liu, Sipu Ruan, Gregory S. Chirikjian. 479-495 [doi]
- Stereo Depth Estimation with EchoesChenghao Zhang, Kun Tian, Bolin Ni, Gaofeng Meng, Bin Fan, Zhaoxiang Zhang, Chunhong Pan. 496-513 [doi]
- Inverted Pyramid Multi-task Transformer for Dense Scene UnderstandingHanrong Ye, Dan Xu. 514-530 [doi]
- PETR: Position Embedding Transformation for Multi-view 3D Object DetectionYingfei Liu, Tiancai Wang, Xiangyu Zhang, Jian Sun. 531-548 [doi]
- S2Net: Stochastic Sequential Pointcloud ForecastingXinshuo Weng, Junyu Nan, Kuan-Hui Lee, Rowan McAllister, Adrien Gaidon, Nicholas Rhinehart, Kris M. Kitani. 549-564 [doi]
- RA-Depth: Resolution Adaptive Self-supervised Monocular Depth EstimationMu He, Le Hui, Yikai Bian, Jian Ren, Jin Xie, Jian Yang. 565-581 [doi]
- PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic SegmentationHaobo Yuan, Xiangtai Li, Yibo Yang, Guangliang Cheng, Jing Zhang 0037, Yunhai Tong, Lefei Zhang, Dacheng Tao. 582-599 [doi]
- SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point CloudsQingyong Hu, Bo Yang 0027, Guangchi Fang, Yulan Guo, Ales Leonardis, Niki Trigoni, Andrew Markham. 600-619 [doi]
- PointMixer: MLP-Mixer for Point Cloud UnderstandingJaesung Choe, Chunghyun Park, François Rameau, Jaesik Park, In-So Kweon. 620-640 [doi]
- Initialization and Alignment for Adversarial Texture OptimizationXiaoming Zhao, Zhizhen Zhao, Alexander G. Schwing. 641-658 [doi]
- MOTR: End-to-End Multiple-Object Tracking with TransformerFangao Zeng, Bin Dong, Yuang Zhang, Tiancai Wang, Xiangyu Zhang, Yichen Wei. 659-675 [doi]
- GALA: Toward Geometry-and-Lighting-Aware Object Search for CompositingSijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen 0001. 676-692 [doi]
- LaLaLoc++: Global Floor Plan Comprehension for Layout Localisation in Unvisited EnvironmentsHenry Howard-Jenkins, Victor Adrian Prisacariu. 693-709 [doi]
- 3D-PL: Domain Adaptive Depth Estimation with 3D-Aware Pseudo-LabelingYu-Ting Yen, Chia-Ni Lu, Wei-chen Chiu, Yi-Hsuan Tsai. 710-728 [doi]
- Panoptic-PartFormer: Learning a Unified Model for Panoptic Part SegmentationXiangtai Li, Shilin Xu, Yibo Yang, Guangliang Cheng, Yunhai Tong, Dacheng Tao. 729-747 [doi]