Continual Learning All Years 2027202620252024 All Pub. Types Conference PaperJournal ArticlePreprint All Venues arXivCVPRECCVICLRICMLTPAMITVCG All Tags Action Quality AssessmentBrain-Inspired LearningContinual Action Quality AssessmentContinual LearningCross-View LearningEgocentric Video LearningHighlightsPretrained ModelsRepresentation Learning All CCF CCF ACCF B All CORE CORE A* All JCR JCR Q1 All Co-Authors Chang LiChunyan LanFrederick W. B. LiGuanglong SunHang SuHongwei YanHubert P. H. ShumJianguo LiJun ZhouJun ZhuLiyuan WangQi ChengQian LiQingyi PanQingyu ShiShuang CuiWeiyi DongXiaohui LiangXingxing ZhangYi ZhongYuchen LiuZikai Hao Clear Statistics Export 2027 Continual Action Quality Assessment via Adaptive Manifold-Aligned Graph Regularization Action Quality Assessment (AQA) quantifies human actions in videos, supporting applications in sports scoring, rehabilitation, and … Kanglei Zhou, Qingyi Pan, Xingxing Zhang, Hubert P. H. Shum, Frederick W. B. Li, Xiaohui Liang, Liyuan Wang Posted Oct 4, 2026 Journal Article TPAMI IF 20.4 (Q1) CCF A Cite PDF DOI GitHub arXiv 2026 CE$^4$L: Continual Ego, Exo, and Ego-Exo Learning Perception for embodied agents is video-based, often multi-view (ego, exo, or both), and inherently continual, with simultaneous task … Hongwei Yan, Kanglei Zhou, Yuchen Liu, Qingyu Shi, Yi Zhong, Liyuan Wang Posted May 1, 2026 Conference Paper ICML Core A* CCF A Cite PDF GitHub OpenReview BriMA: Bridged Modality Adaptation for Multi-Modal Continual Action Quality Assessment Action Quality Assessment (AQA) aims to score how well an action is performed and is widely used in sports analysis, rehabilitation … Kanglei Zhou, Chang Li, Qingyi Pan, Liyuan Wang Posted Feb 21, 2026 Conference Paper CVPR Core A* CCF A Cite PDF GitHub arXiv FlyPrompt: Brain-Inspired Random-Expanded Routing with Temporal-Ensemble Experts for General Continual Learning General continual learning (GCL) challenges intelligent systems to learn from single-pass, non-stationary data streams without clear … Hongwei Yan, Guanglong Sun, Kanglei Zhou, Qian Li, Liyuan Wang, Yi Zhong Posted Jan 21, 2026 Conference Paper ICLR Core A* CCF A Cite PDF GitHub arXiv OpenReview PACE: Pretrained Audio Continual Learning Audio is a fundamental modality for analyzing speech, music, and environmental sounds. While pretrained audio models have significantly … Chang Li, Kanglei Zhou, Liyuan Wang Posted Jan 21, 2026 Conference Paper ICLR Core A* CCF A Cite PDF arXiv OpenReview Brain-Inspired Hierarchical Modularity for General Continual Learning Continual learning, the ability to learn from sequential experience while retaining and adapting prior knowledge, is central to … Hongwei Yan, Kanglei Zhou, Qi Cheng, Weiyi Dong, Chunyan Lan, Guanglong Sun, Jun Zhou, Qian Li, Yi Zhong, Liyuan Wang Posted Sep 21, 2026 Preprint / Working Paper arXiv Cite PDF arXiv MePo++: Unifying Representation Refinement and Reconciliation for General Continual Learning General continual learning (GCL) aims to learn from evolving data streams without task identities, explicit boundaries, or repeated … Guanglong Sun, Kanglei Zhou, Liyuan Wang, Qi Cheng, Hongwei Yan, Shuang Cui, Hang Su, Jun Zhu, Yi Zhong Posted Sep 4, 2026 Preprint / Working Paper arXiv Cite PDF arXiv GitHub 2025 Adaptive Score Alignment Learning for Continual Perceptual Quality Assessment of 360-Degree Videos in Virtual Reality Virtual Reality Video Quality Assessment (VR-VQA) aims to evaluate the perceptual quality of 360-degree videos, which is crucial for … Kanglei Zhou, Zikai Hao, Liyuan Wang, Xiaohui Liang Posted Jan 27, 2025 Journal Article TVCG, VR 2025 Oral IF 6.8 (Q1) CCF A Cite PDF DOI GitHub arXiv Bilibili Oral Presentation 2024 MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment Action Quality Assessment (AQA) evaluates diverse skills but models struggle with non-stationary data. We propose Continual AQA (CAQA) … Kanglei Zhou, Liyuan Wang, Xingxing Zhang, Hubert P. H. Shum, Frederick W. B. Li, Jianguo Li, Xiaohui Liang Posted Jul 1, 2024 Conference Paper ECCV, Oral, ~2.3% Core A* CCF B Cite PDF Poster Slides DOI GitHub arXiv Oral Presentation
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