{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T16:03:33Z","timestamp":1772553813733,"version":"3.50.1"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T00:00:00Z","timestamp":1688169600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T00:00:00Z","timestamp":1688169600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T00:00:00Z","timestamp":1688169600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Shaanxi Provincial International Science and Technology Collaboration Project","award":["2017KW-ZD-14"],"award-info":[{"award-number":["2017KW-ZD-14"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61872256"],"award-info":[{"award-number":["61872256"]}],"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":["U19B2037"],"award-info":[{"award-number":["U19B2037"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"VUB Interdisciplinary Research Program"},{"name":"EMO-App project"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Affective Comput."],"published-print":{"date-parts":[[2023,7,1]]},"DOI":"10.1109\/taffc.2021.3139101","type":"journal-article","created":{"date-parts":[[2021,12,30]],"date-time":"2021-12-30T00:13:17Z","timestamp":1640823197000},"page":"2033-2047","source":"Crossref","is-referenced-by-count":7,"title":["Region Attentive Action Unit Intensity Estimation With Uncertainty Weighted Multi-Task Learning"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7164-5840","authenticated-orcid":false,"given":"Haifeng","family":"Chen","sequence":"first","affiliation":[{"name":"Shaanxi Key Laboratory on Speech and Image Information Processing, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University (NPU), Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6238-8499","authenticated-orcid":false,"given":"Dongmei","family":"Jiang","sequence":"additional","affiliation":[{"name":"Shaanxi Key Laboratory on Speech and Image Information Processing, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University (NPU), Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2644-952X","authenticated-orcid":false,"given":"Yong","family":"Zhao","sequence":"additional","affiliation":[{"name":"Shaanxi Key Laboratory on Speech and Image Information Processing, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University (NPU), Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoyong","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Computer Science, Sichuan University, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0176-3088","authenticated-orcid":false,"given":"Ke","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Engineering Science, University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1774-2970","authenticated-orcid":false,"given":"Hichem","family":"Sahli","sequence":"additional","affiliation":[{"name":"Department of Electronics &#x0026; Informatics (ETRO), AVSP Research Lab, Vrije Universiteit Brussel (VUB), Brussels, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780195179644.001.0001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1098\/rstb.2009.0135"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/1180995.1181044"},{"issue":"36","key":"ref4","first-page":"1","article-title":"Emfacs-7: Emotional facial action coding system","volume":"2","author":"Friesen","year":"1983"},{"key":"ref5","article-title":"The facial action coding system: The manual on CD-ROM & investigator\u2019s guide","author":"Ekman","year":"2002","journal-title":"Salt Lake City, UT: Research Nexus"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2009.5204259"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298626"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1023\/A:1024952730333","article-title":"The intensity of emotional facial expressions and decoding accuracy","volume":"21","year":"1997","journal-title":"J. Nonverbal Behav."},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00082"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2021.3061605"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10593-2_11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2354351"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.716"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01378-z"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2570550"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2016.7477625"},{"key":"ref17","first-page":"114","article-title":"PAttNet: Patch-attentive deep network for action unit detection","volume-title":"Proc. Brit. Mach. Vis. Conf.","author":"Onal Ertugrul"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3389\/fcomp.2019.00011"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.605"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2878339"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1037\/0022-3514.69.2.280"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1017\/s0140525x02000080"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2013.4"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2016.182"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2014.06.002"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00246"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2015.7284869"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00019"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ACII.2017.8273603"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2019.8756543"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01258-8_19"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247974"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2017.136"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.03.082"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018594"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01219"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2019.2948635"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.369"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ACII.2019.8925514"},{"key":"ref40","article-title":"Spatio-temporal relation and attention learning for facial action unit detection","author":"Shao","year":"2020"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00059"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00300"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00700"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00575"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00781"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref48","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume-title":"Proc. 32nd Int. Conf. Int. Conf. Mach. Learn.","author":"Ioffe"},{"key":"ref49","first-page":"6000","article-title":"Attention is all you need","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Vaswani"},{"key":"ref50","article-title":"Attention is not all you need, pure attention loses rank doubly exponentially with depth","author":"Dong","year":"2021"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2015.7284874"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICMEW.2019.0-104"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.346"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2013.6553788"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2014.06.002"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1037\/0033-2909.86.2.420"},{"key":"ref57","first-page":"8026","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Paszke"},{"key":"ref58","article-title":"Learning face representation from scratch","author":"Yi","year":"2014"},{"key":"ref59","first-page":"525","article-title":"Multi-task learning as multi-objective optimization","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst.","author":"Sener"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"}],"container-title":["IEEE Transactions on Affective Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5165369\/10254612\/09665290.pdf?arnumber=9665290","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,13]],"date-time":"2024-01-13T21:53:26Z","timestamp":1705182806000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9665290\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,1]]},"references-count":60,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/taffc.2021.3139101","relation":{},"ISSN":["1949-3045","2371-9850"],"issn-type":[{"value":"1949-3045","type":"electronic"},{"value":"2371-9850","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,7,1]]}}}