{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T00:26:58Z","timestamp":1768350418596,"version":"3.49.0"},"reference-count":69,"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":[{"name":"National Key Research and Development Program of China","award":["2018AAA0100604"],"award-info":[{"award-number":["2018AAA0100604"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61720106006"],"award-info":[{"award-number":["61720106006"]}],"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":["61721004"],"award-info":[{"award-number":["61721004"]}],"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":["62072455"],"award-info":[{"award-number":["62072455"]}],"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":["U1836220"],"award-info":[{"award-number":["U1836220"]}],"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":["U1705262"],"award-info":[{"award-number":["U1705262"]}],"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":["61872424"],"award-info":[{"award-number":["61872424"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research Program of Frontier Sciences of CAS","award":["QYZDJ-SSW-JSC039"],"award-info":[{"award-number":["QYZDJ-SSW-JSC039"]}]},{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["L201001"],"award-info":[{"award-number":["L201001"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tmm.2021.3078882","type":"journal-article","created":{"date-parts":[[2021,5,12]],"date-time":"2021-05-12T19:35:08Z","timestamp":1620848108000},"page":"2273-2286","source":"Crossref","is-referenced-by-count":11,"title":["Holographic Feature Learning of Egocentric-Exocentric Videos for Multi-Domain Action Recognition"],"prefix":"10.1109","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7819-2247","authenticated-orcid":false,"given":"Yi","family":"Huang","sequence":"first","affiliation":[{"name":"National Laboratory of Pattern Recognition, Institute of Automation, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}]},{"given":"Xiaoshan","family":"Yang","sequence":"additional","affiliation":[{"name":"National Laboratory of Pattern Recognition, Institute of Automation, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}]},{"given":"Junyun","family":"Gao","sequence":"additional","affiliation":[{"name":"National Laboratory of Pattern Recognition, Institute of Automation, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8343-9665","authenticated-orcid":false,"given":"Changsheng","family":"Xu","sequence":"additional","affiliation":[{"name":"National Laboratory of Pattern Recognition, Institute of Automation, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00364"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2862341"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2705915"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2016.XII.034"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_7"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2808769"},{"key":"ref7","first-page":"720","article-title":"Scaling egocentric vision: The epic-kitchens dataset","volume-title":"Proc. Eur. Conf. Comput. Vis.","author":"Damen","year":"2018"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247801"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298698"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2887021"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2907060"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298625"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2608002"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-012-0594-8"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2944745"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2006.07.013"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/11744085_28"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00772"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2018.05.005"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2016.01.001"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350896"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00544"},{"key":"ref23","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":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298714"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2404779"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587721"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00539"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-16814-2_12"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04414-4_4"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0080"},{"key":"ref31","first-page":"222","article-title":"Connecting the dots with landmarks: Discriminatively learning domain-invariant features for unsupervised domain adaptation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Gong","year":"2013"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1872"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10306"},{"key":"ref34","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Long","year":"2015"},{"issue":"1","key":"ref35","first-page":"723","article-title":"A kernel two-sample test","volume":"13","author":"Gretton","year":"2012","journal-title":"J. Mach. Learn. Represent."},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946704"},{"key":"ref37","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ganin","year":"2015"},{"key":"ref38","first-page":"343","article-title":"Domain separation networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Bousmalis","year":"2016"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01299"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2916589"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2866949"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00804"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00642"},{"key":"ref44","first-page":"1302","article-title":"Multi-domain learning: When do domains matter","volume-title":"Proc. Joint Conf. Empir. Methods Nat. Lang. Process. Comput. Nat. Lang. Learn.","author":"Joshi","year":"2012"},{"key":"ref45","article-title":"A unified perspective on multi-domain and multi-task learning","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Yang","year":"2015"},{"key":"ref46","article-title":"Multi-domain adversarial learning","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Schoenauer-Sebag","year":"2019"},{"key":"ref47","article-title":"Neural turing machines","author":"Graves","year":"2014"},{"key":"ref48","article-title":"Memory networks","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Weston","year":"2015"},{"key":"ref49","first-page":"2440","article-title":"End-to-end memory networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Sukhbaatar","year":"2015"},{"key":"ref50","first-page":"2397","article-title":"Dynamic memory networks for visual and textual question answering","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Xiong","year":"2016"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00784"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00854"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00729"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00807"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00587"},{"key":"ref56","first-page":"1842","article-title":"Meta-learning with memory-augmented neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Santoro","year":"2016"},{"key":"ref57","first-page":"4331","article-title":"Using fast weights to attend to the recent past","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ba","year":"2016"},{"key":"ref58","first-page":"2554","article-title":"Meta networks","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"70","author":"Munkhdalai","year":"2017"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00264"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.223"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018303"},{"key":"ref64","first-page":"5998","article-title":"Attention is all you need, in proc","author":"Vaswani","year":"2017","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref65","first-page":"4077","article-title":"Prototypical networks for few-shot learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Snell","year":"2017"},{"issue":"3","key":"ref66","first-page":"507","article-title":"Large-margin softmax loss for convolutional neural networks","volume":"2","author":"Liu","year":"2016","journal-title":"Proc. Int. Conf. Mach. Learn."},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2751607"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2759500"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.542"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/9687854\/09429982.pdf?arnumber=9429982","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T23:56:01Z","timestamp":1704844561000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9429982\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":69,"URL":"https:\/\/doi.org\/10.1109\/tmm.2021.3078882","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}