{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T16:25:53Z","timestamp":1783527953038,"version":"3.55.0"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000761","name":"Imperial College London","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000761","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Affective Comput."],"published-print":{"date-parts":[[2021,7,1]]},"DOI":"10.1109\/taffc.2020.3014171","type":"journal-article","created":{"date-parts":[[2020,8,4]],"date-time":"2020-08-04T21:35:34Z","timestamp":1596576934000},"page":"595-606","source":"Crossref","is-referenced-by-count":151,"title":["Exploiting Multi-CNN Features in CNN-RNN Based Dimensional Emotion Recognition on the OMG in-the-Wild Dataset"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8188-3751","authenticated-orcid":false,"given":"Dimitrios","family":"Kollias","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5222-1740","authenticated-orcid":false,"given":"Stefanos","family":"Zafeiriou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2017.23"},{"key":"ref38","first-page":"18","article-title":"AffectNet: A database for facial expression, valence, and arousal computing in the wild","volume":"10","author":"mollahosseini","year":"2017"},{"key":"ref33","article-title":"Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface","author":"kollias","year":"2019"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01158-4"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.248"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2018.8489099"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3133944.3133953"},{"key":"ref36","doi-asserted-by":"crossref","DOI":"10.1109\/FG47880.2020.00126","article-title":"Analysing affective behavior in the first abaw 2020 competition","author":"kollias","year":"2020"},{"key":"ref35","article-title":"A multi-task learning & generation framework: Valence-arousal, action units & primary expressions","author":"kollias","year":"2018"},{"key":"ref34","article-title":"Aff-wild2: Extending the aff-wild database for affect recognition","author":"kollias","year":"2018"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1111\/jopy.12258"},{"key":"ref62","article-title":"A multi-component CNN-RNN approach for dimensional emotion recognition in-the-wild","author":"kollias","year":"2018"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2011.9"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.713"},{"key":"ref28","first-page":"475","article-title":"Photorealistic facial synthesis in the dimensional affect space","author":"kollias","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01304-3"},{"key":"ref29","article-title":"Face behavior$\\backslash$?a la carte: Expressions, affect and action units in a single network","author":"kollias","year":"2019"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33191-6_36"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1196\/annals.1280.010"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2388676.2388783"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532431"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2512530.2512532"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.246"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3133944.3133949"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/SMAP.2015.7370086"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3242969.3264989"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.5244\/C.29.41"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/2993148.2993165"},{"key":"ref59","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780195118889.001.0001","author":"lane","year":"1999","journal-title":"Cognitive Neuroscience of Emotion"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1145\/2502081.2502201"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.241"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/BF02291478"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10593-2_47"},{"key":"ref54","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"chung","year":"2014"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.247"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2015.05.018"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1037\/0022-3514.36.10.1152"},{"key":"ref40","first-page":"109","article-title":"Incremental boosting convolutional neural network for facial action unit recognition","author":"han","year":"2016","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref12","author":"whissel","year":"1989","journal-title":"The dictionary of affect in language emotion Theory research and experience vol 4 the measurement of emotions"},{"key":"ref13","author":"tom","year":"1990","journal-title":"Psychological and biological approaches to emotion"},{"key":"ref14","first-page":"731","article-title":"Brain activity and network interactions linked to valence-related differences in the impact of emotional distraction","volume":"27","author":"iordan","year":"2017","journal-title":"Cerebral Cortex"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1111\/j.1469-8986.2009.00868.x"},{"key":"ref16","author":"plutchik","year":"1980","journal-title":"Emotion A Psychoevolutionary Synthesis"},{"key":"ref17","article-title":"Introduction to sociology-1st canadian edition","author":"little","year":"2014","journal-title":"Victoria BC BC Campus Retrieved"},{"key":"ref18","first-page":"378","article-title":"Naturalistic affective expression classification by a multi-stage approach based on hidden markov models","author":"meng","year":"2011","journal-title":"Proc Int Conf Affect Comput Intell Interaction"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24571-8_51"},{"key":"ref4","article-title":"Facial action coding system (FACS)","author":"ekman","year":"2002","journal-title":"A Human Face"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1322355111"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1142\/S0218213018500112"},{"key":"ref5","first-page":"391","article-title":"Assessment of parkinson&#x2019;s disease based on deep neural networks","author":"tagaris","year":"2017","journal-title":"Proc Int Conf Eng Appl Neural Netw"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2018.04.012"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s40747-017-0064-6"},{"key":"ref49","first-page":"892","article-title":"SoundNet: Learning sound representations from unlabeled video","author":"aytar","year":"2016","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref9","first-page":"930","article-title":"Artificial neural network for diagnose autism spectrum disorder","author":"nasser","year":"2019","journal-title":"Proc 2nd Int Conf Trends Electron Inform"},{"key":"ref46","article-title":"Multimodal emotion recognition for one-minute-gradual emotion challenge","author":"zheng","year":"2018"},{"key":"ref45","article-title":"A deep network for arousal-valence emotion prediction with acoustic-visual cues","author":"peng","year":"2018"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2013.6553805"},{"key":"ref47","article-title":"audEERING&#x2019;s approach to the one-minute-gradual emotion challenge","author":"triantafyllopoulos","year":"2018"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_27"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/2818346.2830593"},{"key":"ref44","article-title":"Multimodal utterance-level affect analysis using visual, audio and text features","author":"deng","year":"2018"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2018.8489340"}],"container-title":["IEEE Transactions on Affective Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5165369\/9527348\/09158345.pdf?arnumber=9158345","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,11]],"date-time":"2024-08-11T09:25:05Z","timestamp":1723368305000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9158345\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,1]]},"references-count":63,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/taffc.2020.3014171","relation":{},"ISSN":["1949-3045","2371-9850"],"issn-type":[{"value":"1949-3045","type":"electronic"},{"value":"2371-9850","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,7,1]]}}}