{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T22:05:00Z","timestamp":1766268300726,"version":"3.37.3"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62271361","52271366"],"award-info":[{"award-number":["62271361","52271366"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010580","name":"Department of Science and Technology, Hubei Provincial People&#x0027;s Government","doi-asserted-by":"publisher","award":["2021CFB513"],"award-info":[{"award-number":["2021CFB513"]}],"id":[{"id":"10.13039\/501100010580","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/lsp.2022.3229646","type":"journal-article","created":{"date-parts":[[2022,12,15]],"date-time":"2022-12-15T19:50:30Z","timestamp":1671133830000},"page":"2597-2601","source":"Crossref","is-referenced-by-count":7,"title":["Actor-Aware Alignment Network for Action Recognition"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4417-6628","authenticated-orcid":false,"given":"Wenxuan","family":"Liu","sequence":"first","affiliation":[{"name":"School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5242-0467","authenticated-orcid":false,"given":"Xian","family":"Zhong","sequence":"additional","affiliation":[{"name":"School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1762-4365","authenticated-orcid":false,"given":"Xuemei","family":"Jia","sequence":"additional","affiliation":[{"name":"School of Computer Science, Wuhan University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4055-7503","authenticated-orcid":false,"given":"Kui","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Wuhan University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9097-2318","authenticated-orcid":false,"given":"Chia-Wen","family":"Lin","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, National Tsing Hua University, Hsinchu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"568","article-title":"Two-stream convolutional networks for action recognition in videos","volume-title":"Proc. Adv. Neural Inf. Process. Syst","author":"Simonyan","year":"2014"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00630"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018762"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.44"},{"key":"ref5","first-page":"2208","article-title":"Trajectory convolution for action recognition","volume-title":"Proc. Adv. Neural Inf. Process. Syst","author":"Zhao","year":"2018"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2020.102846"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i2.16181"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00596"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00238"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s10791-009-9110-3"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3547875"},{"key":"ref12","first-page":"11863","article-title":"SimAM: A simple, parameter-free attention module for convolutional neural networks","volume-title":"Proc. PMLR Int. Conf. Mach. Learn","author":"Yang","year":"2021"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00356"},{"article-title":"UCF101: A dataset of 101 human actions classes from videos in the wild","year":"2012","author":"Soomro","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126543"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.05.094"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00155"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00685"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2019.2923918"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00718"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00209"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413641"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58539-6_17"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00099"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i2.20022"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i2.16235"},{"key":"ref28","first-page":"1","article-title":"CT-Net: Channel tensorization network for video classification","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Li","year":"2021"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-89370-5_18"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3029554"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.10.037"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.502"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01231-1_24"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2823910"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00169"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3050069"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-89370-5_24"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/135"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2021.02.023"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/97\/9686799\/09987642.pdf?arnumber=9987642","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T06:52:24Z","timestamp":1706770344000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9987642\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/lsp.2022.3229646","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"type":"print","value":"1070-9908"},{"type":"electronic","value":"1558-2361"}],"subject":[],"published":{"date-parts":[[2022]]}}}