{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T20:46:28Z","timestamp":1781988388687,"version":"3.54.5"},"reference-count":86,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["201706290115"],"award-info":[{"award-number":["201706290115"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shaanxi Provincial International Science and Technology Collaboration Project","award":["2017KW-ZD-14"],"award-info":[{"award-number":["2017KW-ZD-14"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tmm.2020.3026894","type":"journal-article","created":{"date-parts":[[2020,9,25]],"date-time":"2020-09-25T20:40:52Z","timestamp":1601066452000},"page":"3540-3550","source":"Crossref","is-referenced-by-count":18,"title":["Monocular 3D Facial Expression Features for Continuous Affect Recognition"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3582-6809","authenticated-orcid":false,"given":"Ercheng","family":"Pei","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4076-4614","authenticated-orcid":false,"given":"Meshia Cedric","family":"Oveneke","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2644-952X","authenticated-orcid":false,"given":"Yong","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6238-8499","authenticated-orcid":false,"given":"Dongmei","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1774-2970","authenticated-orcid":false,"given":"Hichem","family":"Sahli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref73","article-title":"Automatic analysis of facial expressions based on deep covariance trajectories","author":"otberdout","year":"2019","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.03.068"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1145\/2993148.2997634"},{"key":"ref70","article-title":"ADADELTA: An adaptive learning rate method","author":"zeiler","year":"2012"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2017.2719043"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-019-7313-1"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461963"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2015.09.009"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.59"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1145\/2388676.2388776"},{"key":"ref79","author":"prenter","year":"2008","journal-title":"Splines and Variational Methods"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_27"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3133944.3133949"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/2988257.2988264"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2017.2764438"},{"key":"ref37","article-title":"Leveraging the deep learning paradigm for continuous affect estimation from facial expressions","author":"oveneke","year":"2019","journal-title":"IEEE Trans Affective Comput"},{"key":"ref36","article-title":"Contractive auto-encoders: Explicit invariance during feature extraction","author":"rifai","year":"2011"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21735-7_7"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2017.23"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.63"},{"key":"ref62","first-page":"787","article-title":"High-fidelity pose and expression normalization for face recognition in the wild","author":"zhu","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2008.4517803"},{"key":"ref63","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1109\/TVCG.2013.249","article-title":"FaceWarehouse: A 3D facial expression database for visual computing","volume":"20","author":"cao","year":"2014","journal-title":"IEEE Trans Visual Comput Graph"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2808196.2811637"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00019"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.10.096"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.296"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008156210387"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/2993148.2997637"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ACII.2015.7344573"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1145\/2808196.2811641"},{"key":"ref69","first-page":"2196","article-title":"Discriminatively trained recurrent neural networks for continuous dimensional emotion recognition from audio","author":"weninger","year":"0","journal-title":"Proc 25th Int Joint Conf Artif Intell"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"1167","DOI":"10.1109\/TMM.2007.902847","article-title":"Human behavior analysis for highlight ranking in broadcast racket sports video","volume":"9","author":"zhu","year":"2007","journal-title":"IEEE Trans Multimedia"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2882744"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.282"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-24670-1_36"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(95)00067-4"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACII.2013.65"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2015.2414392"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2522378"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2877129"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.245"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00067"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.63"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.580"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.598"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2011.05.003"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-70353-4_4"},{"key":"ref54","first-page":"1836","article-title":"3D model-based continuous emotion recognition","author":"chen","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88682-2_45"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2006.312417"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2013.6553805"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2010.5583006"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/2993148.2997632"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.52"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2366127"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1049\/iet-bmt.2014.0104"},{"key":"ref15","article-title":"Deep facial expression recognition: A survey","author":"li","year":"2018","journal-title":"arXiv 1804 08348"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00200"},{"key":"ref16","article-title":"Deep learning for human affect recognition: Insights and new developments","author":"rouast","year":"2019","journal-title":"IEEE Trans Affective Comput"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1145\/2808196.2811634"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2806408"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1145\/2388676.2388783"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2018.12.039"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1145\/2988257.2988270"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00246"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1145\/2988257.2988258"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1110"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2011.2118750"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2014.11.007"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2927975"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACII.2015.7344634"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01151-x"},{"key":"ref7","article-title":"Efficient convolutional auto-encoding via random convexification and frequency-domain minimization","author":"oveneke","year":"2016"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2009.58"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2012.26"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2557063"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-018-1477-y"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2003.1227983"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2713408"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45103-X_50"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2012.03.001"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2017.2723386"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/SmartTechCon.2017.8358488"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/9296985\/09206081.pdf?arnumber=9206081","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:51:27Z","timestamp":1652194287000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9206081\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":86,"URL":"https:\/\/doi.org\/10.1109\/tmm.2020.3026894","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}