{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T02:53:54Z","timestamp":1781664834698,"version":"3.54.5"},"reference-count":74,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2022YFB4703200"],"award-info":[{"award-number":["2022YFB4703200"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62261160652"],"award-info":[{"award-number":["62261160652"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52275013"],"award-info":[{"award-number":["52275013"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62206075"],"award-info":[{"award-number":["62206075"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61733011"],"award-info":[{"award-number":["61733011"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62503139"],"award-info":[{"award-number":["62503139"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62573163"],"award-info":[{"award-number":["62573163"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shenzhen Science and Technology Program","award":["JCYJ20240813105137049"],"award-info":[{"award-number":["JCYJ20240813105137049"]}]},{"DOI":"10.13039\/501100001809","name":"Science and Technology Development Fund (FDCT), Macau, SAR","doi-asserted-by":"publisher","award":["0095\/2022\/AFJ"],"award-info":[{"award-number":["0095\/2022\/AFJ"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2024A1515012028"],"award-info":[{"award-number":["2024A1515012028"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tip.2025.3624581","type":"journal-article","created":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T17:47:45Z","timestamp":1761760065000},"page":"7305-7320","source":"Crossref","is-referenced-by-count":3,"title":["Text-Derived Relational Graph-Enhanced Network for Skeleton-Based Action Segmentation"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-2150-0791","authenticated-orcid":false,"given":"Haoyu","family":"Ji","sequence":"first","affiliation":[{"name":"State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0042-6207","authenticated-orcid":false,"given":"Bowen","family":"Chen","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3839-0078","authenticated-orcid":false,"given":"Weihong","family":"Ren","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-0344-2233","authenticated-orcid":false,"given":"Wenze","family":"Huang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-0236-6776","authenticated-orcid":false,"given":"Zhihao","family":"Yang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5546-6666","authenticated-orcid":false,"given":"Zhiyong","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2880-4698","authenticated-orcid":false,"given":"Honghai","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3327284"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3416052"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/PerCom59722.2024.10494448"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3217368"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3285416"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2023.103707"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72949-2_23"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3426469"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3136613"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3497837"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3378886"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093361"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2022.3230912"},{"key":"ref14","article-title":"A decoupled spatio-temporal framework for skeleton-based action segmentation","author":"Li","year":"2023","journal-title":"arXiv:2312.05830"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICMEW59549.2023.00044"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2022.3199670"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00369"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00237"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00943"},{"key":"ref20","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","volume-title":"Proc. NAACL","volume":"1","author":"Devlin"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3132734.3132739"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/s20154083"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i3.16314"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3169976"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.113"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3021756"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3183829"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.04.121"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3284080"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58595-2_3"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00930"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108764"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00236"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01926"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01404"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i4.16377"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-023-05259-z"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.5244\/C.35.49"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19833-5_4"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICME55011.2023.00178"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00950"},{"key":"ref42","article-title":"Efficient temporal action segmentation via boundary-aware query voting","author":"Wang","year":"2024","journal-title":"arXiv:2405.15995"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01721"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12328"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.127482"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-022-08185-2"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01258"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2025.3563025"},{"key":"ref49","first-page":"1877","article-title":"Language models are few-shot learners","volume-title":"Proc. NIPS","author":"Brown"},{"key":"ref50","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"139","author":"Radford"},{"key":"ref51","first-page":"4904","article-title":"Scaling up visual and vision-language representation learning with noisy text supervision","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","author":"Jia"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01653-1"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-023-01891-x"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20047-2_21"},{"key":"ref55","article-title":"ActionCLIP: A new paradigm for video action recognition","author":"Wang","year":"2021","journal-title":"arXiv:2109.08472"},{"key":"ref56","article-title":"Language knowledge-assisted representation learning for skeleton-based action recognition","author":"Xu","year":"2023","journal-title":"arXiv:2305.12398"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681015"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01253"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.3015051"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3235300"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-67285-9_15"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3219864"},{"key":"ref63","article-title":"GPT-4 technical report","volume-title":"arXiv:2303.08774","author":"Achiam","year":"2023"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01311"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00022"},{"key":"ref66","first-page":"5156","article-title":"Transformers are RNNs: Fast autoregressive transformers with linear attention","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Katharopoulos"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1807.06521"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1410"},{"key":"ref69","article-title":"Text embeddings by weakly-supervised contrastive pre-training","author":"Wang","year":"2022","journal-title":"arXiv:2212.03533"},{"key":"ref70","article-title":"Towards general text embeddings with multi-stage contrastive learning","author":"Li","year":"2023","journal-title":"arXiv:2308.03281"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657878"},{"key":"ref72","first-page":"8291","article-title":"Vision GNN: An image is worth graph of nodes","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","author":"Han"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6759"},{"key":"ref74","first-page":"1","article-title":"Part-based graph convolutional network for action recognition","volume-title":"Proc. BMVC","author":"Thakkar"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/83\/10795784\/11220247.pdf?arnumber=11220247","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T18:44:11Z","timestamp":1762973051000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11220247\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":74,"URL":"https:\/\/doi.org\/10.1109\/tip.2025.3624581","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}