{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T06:38:05Z","timestamp":1771483085154,"version":"3.50.1"},"reference-count":69,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"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":["61601466"],"award-info":[{"award-number":["61601466"]}],"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":["61672079"],"award-info":[{"award-number":["61672079"]}],"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":["61473086"],"award-info":[{"award-number":["61473086"]}],"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":["61773301"],"award-info":[{"award-number":["61773301"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"crossref","award":["2015CB352501"],"award-info":[{"award-number":["2015CB352501"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Shenzhen Science and Technology Program"},{"DOI":"10.13039\/501100012234","name":"Shenzhen Peacock Plan","doi-asserted-by":"crossref","award":["KQTD2016112515134654"],"award-info":[{"award-number":["KQTD2016112515134654"]}],"id":[{"id":"10.13039\/501100012234","id-type":"DOI","asserted-by":"crossref"}]},{"name":"National Key R&D Plan","award":["2017YFC0821102"],"award-info":[{"award-number":["2017YFC0821102"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2019,9]]},"DOI":"10.1109\/tip.2019.2912357","type":"journal-article","created":{"date-parts":[[2019,4,25]],"date-time":"2019-04-25T21:58:46Z","timestamp":1556229526000},"page":"4646-4658","source":"Crossref","is-referenced-by-count":39,"title":["Deep Manifold Structure Transfer for Action Recognition"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3081-6751","authenticated-orcid":false,"given":"Ce","family":"Li","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7396-6218","authenticated-orcid":false,"given":"Baochang","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3957-7061","authenticated-orcid":false,"given":"Chen","family":"Chen","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1215-6259","authenticated-orcid":false,"given":"Qixiang","family":"Ye","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4361-956X","authenticated-orcid":false,"given":"Jungong","family":"Han","sequence":"additional","affiliation":[]},{"given":"Guodong","family":"Guo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9163-2932","authenticated-orcid":false,"given":"Rongrong","family":"Ji","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247968"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88688-4_48"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/VSPETS.2005.1570899"},{"key":"ref31","first-page":"11","article-title":"A discriminative feature learning approach for deep face recognition","author":"wen","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299086"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.441"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2456412"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/11744047_33"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587756"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206557"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-012-0594-8"},{"key":"ref61","article-title":"THUMOS challenge: Action recognition with a large number of classes","author":"jiang","year":"2014"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.83"},{"key":"ref28","first-page":"3279","article-title":"Building deep networks on Grassmann manifolds","author":"huang","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0905-6"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451626"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.331"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/6598025"},{"key":"ref67","article-title":"Dimensionality reduction: A comparative review","author":"van der maaten","year":"2009"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298698"},{"key":"ref2","first-page":"568","article-title":"Two-stream convolutional networks for action recognition in videos","volume":"1","author":"simonyan","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.345"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00685"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2740318"},{"key":"ref21","first-page":"7130","article-title":"Action recognition with coarse-to-fine deep feature integration and asynchronous fusion","author":"lin","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref24","first-page":"1","article-title":"Effective human action recognition by combining manifold regularization and pairwise constraints","volume":"2017","author":"ma","year":"2017","journal-title":"Multimedia Tools Appl"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298717"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2810515"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995496"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.291"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.219"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126543"},{"key":"ref58","author":"soomro","year":"2012","journal-title":"Ucf101 A Dataset of 101 Human Actions Classes from Videos in the Wild"},{"key":"ref57","doi-asserted-by":"crossref","first-page":"2323","DOI":"10.1126\/science.290.5500.2323","article-title":"Nonlinear dimensionality reduction by locally linear embedding","volume":"290","author":"roweis","year":"2000","journal-title":"Science"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.172"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.337"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.226"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2666540"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.604"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2540978"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.59"},{"key":"ref40","article-title":"Learning human pose estimation features with convolutional networks","volume":"abs 1312","author":"jain","year":"2014","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299059"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_2"},{"key":"ref15","first-page":"3468","article-title":"Spatiotemporal residual networks for video action recognition","author":"feichtenhofer","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.236"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.341"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.590"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.502"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2718189"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2295753"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00054"},{"key":"ref5","first-page":"7844","article-title":"What have we learned from deep representations for action recognition?","author":"feichtenhofer","year":"2018","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.333"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00675"},{"key":"ref49","first-page":"1","article-title":"Delving deeper into convolutional networks for learning video representations","author":"ballas","year":"2016","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00141"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2712608"},{"key":"ref48","first-page":"843","article-title":"Unsupervised learning of video representations using LSTMs","author":"srivastava","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298878"},{"key":"ref42","first-page":"818","article-title":"Visualizing and understanding convolutional networks","author":"zeiler","year":"2013","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.223"},{"key":"ref44","first-page":"4694","article-title":"Beyond short snippets: Deep networks for video classification","author":"ng","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15567-3_11"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/8752174\/08699101.pdf?arnumber=8699101","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T21:06:55Z","timestamp":1657746415000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8699101\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9]]},"references-count":69,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tip.2019.2912357","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,9]]}}}