{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T05:59:47Z","timestamp":1777874387426,"version":"3.51.4"},"reference-count":57,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003472","name":"State Grid Corporation of China","doi-asserted-by":"publisher","award":["SGDK0000AIJS2502122"],"award-info":[{"award-number":["SGDK0000AIJS2502122"]}],"id":[{"id":"10.13039\/501100003472","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,19]]},"DOI":"10.1109\/iccv51701.2025.00947","type":"proceedings-article","created":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T19:45:49Z","timestamp":1777491949000},"page":"10162-10172","source":"Crossref","is-referenced-by-count":0,"title":["Bridging Class Imbalance and Partial Labeling Via Spectral-Balanced Energy Propagation for Skeleton-Based Action Recognition"],"prefix":"10.1109","author":[{"given":"Yandan","family":"Wang","sequence":"first","affiliation":[{"name":"School of Control and Computer Engineering, North China Electric Power University,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenqi","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Control and Computer Engineering, North China Electric Power University,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yinglong","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Control and Computer Engineering, North China Electric Power University,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiangyan","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Control and Computer Engineering, North China Electric Power University,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuan","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Control and Computer Engineering, North China Electric Power University,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiming","family":"Dong","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences,State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1103\/physreve.64.061907"},{"key":"ref2","first-page":"437","article-title":"A public domain dataset for human activity recognition using smartphones","volume-title":"European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning","author":"D","year":"2013"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/bf01386217"},{"key":"ref4","first-page":"6299","article-title":"Quo vadis, action recognition? a new model and the kinetics dataset","volume-title":"IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Joao","year":"2017"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2927224"},{"key":"ref6","first-page":"13359","article-title":"Channel-wise topology refinement graph convolution for skeleton-based action recognition","volume-title":"IEEE\/CVF International Conference on Computer Vision (ICCV)","author":"Yuxin","year":"2021"},{"key":"ref7","first-page":"433","article-title":"Resurrecting label propagation for graphs with heterophily and label noise","volume-title":"ACM SIGKDD Conference on Knowledge Discovery and Data Mining","author":"Yao","year":"2024"},{"key":"ref8","first-page":"20186","article-title":"Infogcn: Representation learning for human skeleton-based action recognition","volume-title":"IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Hyung\u2013gun","year":"2022"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-023-10579-0"},{"key":"ref10","first-page":"29996","article-title":"Simmtm: A simple pretraining framework for masked time-series modeling","volume-title":"Advances in Neural Information Processing Systems (NeurIPS)","author":"Jiaxiang","year":"2024"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.110358"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00298"},{"key":"ref13","first-page":"13634","article-title":"Skeletr: Towards skeleton-based action recognition in the wild","volume-title":"IEEE\/CVF International Conference on Computer Vision (ICCV)","author":"Haodong","year":"2023"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2021.3076234"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3308189"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-024-05591-y"},{"key":"ref17","first-page":"10400","article-title":"Fsar: Federated skeleton-based action recognition with adaptive topology structure and knowledge distillation","volume-title":"IEEE\/CVF International Conference on Computer Vision (ICCV)","author":"Jingwen","year":"2023"},{"key":"ref18","first-page":"1","article-title":"Self-supervised learning for activity recognition based on datasets with imbalanced classes","author":"Rebeen Ali","year":"2025","journal-title":"IEEE Transactions on Emerging Topics in Computational Intelligence"},{"key":"ref19","article-title":"Micro-gesture classification based on ensemble hypergraph-convolution transformer","volume-title":"IJCAI Workshop: Challenge on Micro-gesture Analysis for Hidden Emotion Understanding","author":"Hexiang","year":"2023"},{"key":"ref20","first-page":"5070","article-title":"Label propagation for deep semi-supervised learning","volume-title":"IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Ahmet","year":"2019"},{"key":"ref21","first-page":"400","article-title":"Language-assisted skeleton action understanding for skeleton-based temporal action segmentation","volume-title":"European Conference on Computer Vision (ECCV)","author":"Haoyu","year":"2024"},{"key":"ref22","first-page":"23343","article-title":"Balanced data, imbalanced spectra: Unveiling class disparities with spectral imbalance","volume-title":"International Conference on Machine Learning (ICML)","author":"Chiraag","year":"2024"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2937757"},{"key":"ref24","first-page":"21294","article-title":"Contrastive credibility propagation for reliable semi-supervised learning","volume-title":"AAAI Conference on Artificial Intelligence","author":"Brody","year":"2024"},{"key":"ref25","first-page":"8751","article-title":"Iterative label cleaning for transductive and semi-supervised few-shot learning","volume-title":"IEEE\/CVF International Conference on Computer Vision (ICCV)","author":"Michalis","year":"2021"},{"key":"ref26","first-page":"10255","article-title":"Leveraging spatiotemporal dependency for skeleton-based action recognition","volume-title":"IEEE\/CVF International Conference on Computer Vision (ICCV)","author":"Jungho","year":"2023"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00471"},{"issue":"118965","key":"ref28","article-title":"Prototype contrastive learning for point-supervised temporal action detection","volume":"213","author":"Ping","year":"2023","journal-title":"Expert Systems with Applications"},{"issue":"(3)","key":"ref29","first-page":"466","article-title":"Balanced representation learning for long-tailed skeleton-based action recognitio","volume":"22","author":"Hongda","year":"2025","journal-title":"Machine Intelligence Research"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2024.111472"},{"key":"ref31","first-page":"21464","article-title":"Energy-based out-of-distribution detection","volume-title":"Advances in Neural Information Processing Systems (NeurIPS)","author":"Weitang","year":"2020"},{"key":"ref32","first-page":"8923","article-title":"Temporal-frequency co-training for time series semisupervised learning","volume-title":"AAAI Conference on Artificial Intelligence","author":"Zhen","year":"2023"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01741"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.115"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TMLCN.2024.3387430"},{"issue":"(6)","key":"ref36","first-page":"7559","article-title":"Multi-granularity anchor-contrastive representation learning for semi-supervised skeleton-based action recognition","volume":"45","author":"Xiangbo","year":"2020","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref37","first-page":"596","article-title":"Fixmatch: Simplifying semi-supervised learning with consistency and confidence","volume-title":"Advances in Neural Information Processing Systems (NeurIPS)","author":"Kihyuk","year":"2020"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02190"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3183112"},{"key":"ref40","first-page":"16317","article-title":"Prototypes-oriented transductive few-shot learning with conditional transport","volume-title":"IEEE\/CVF International Conference on Computer Vision (ICCV)","author":"Long","year":"2023"},{"key":"ref41","first-page":"762","article-title":"Contrastive learning from extremely augmented skeleton sequences for self-supervised action recognition","volume-title":"AAAI Conference on Artificial Intelligence","author":"Tianyu","year":"2022"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00236"},{"key":"ref43","first-page":"12836","article-title":"Instance credibility inference for few-shot learning","volume-title":"IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Yikai","year":"2020"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966039"},{"key":"ref45","doi-asserted-by":"crossref","first-page":"762","DOI":"10.1016\/j.ins.2022.11.040","article-title":"Time-frequency based multi-task learning for semi-supervised time series classification","volume":"619","author":"Chixuan","year":"2023","journal-title":"Information Sciences"},{"key":"ref46","first-page":"5949","article-title":"Scdnet: Spatiotemporal clues disentanglement network for self-supervised skeleton-based action recognition","volume-title":"AAAI Conference on Artificial Intelligence","author":"Cong","year":"2024"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681009"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.00297"},{"key":"ref49","first-page":"113","article-title":"Crossglg: Llm guides one-shot skeleton-based 3d action recognition in a cross-level manner","volume-title":"European Conference on Computer Vision (ECCV)","author":"Tingbing","year":"2025"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20881"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3547980"},{"key":"ref52","first-page":"1688","article-title":"Shap-mix: Shapley value guided mixing for long-tailed skeleton based action recognition","volume-title":"International Joint Conference on Artificial Intelligence (IJCAI)","author":"Jiahang","year":"2024"},{"key":"ref53","first-page":"3308","article-title":"A co-training approach for noisy time series learning","volume-title":"ACM International Conference on Information and Knowledge Management","author":"Weiqi","year":"2023"},{"issue":"(12)","key":"ref54","first-page":"1","article-title":"Imbalanced node classification with synthetic over-sampling","volume":"36","author":"Tianxiang","year":"2024","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00200"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02298"},{"key":"ref57","first-page":"13913","article-title":"Modeling the relative visual tempo for self-supervised skeleton-based action recognition","volume-title":"IEEE\/CVF International Conference on Computer Vision (ICCV)","author":"Yisheng","year":"2023"}],"event":{"name":"2025 IEEE\/CVF International Conference on Computer Vision (ICCV)","location":"Honolulu, HI, USA","start":{"date-parts":[[2025,10,19]]},"end":{"date-parts":[[2025,10,25]]}},"container-title":["2025 IEEE\/CVF International Conference on Computer Vision (ICCV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11443115\/11443287\/11445719.pdf?arnumber=11445719","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T19:44:57Z","timestamp":1777578297000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11445719\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,19]]},"references-count":57,"URL":"https:\/\/doi.org\/10.1109\/iccv51701.2025.00947","relation":{},"subject":[],"published":{"date-parts":[[2025,10,19]]}}}