Publication:

Leveraging the Deep Learning Paradigm for Continuous Affect Estimation from Facial Expressions

Date

2022
Journal article
https://doi.org/10.1109/TAFFC.2019.2944603
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dc.contributor.authorOveneke, Meshia Cédric
dc.contributor.authorZhao, Yong
dc.contributor.authorPei, Ercheng
dc.contributor.authorBerenguer, Abel Diıaz
dc.contributor.authorJiang, Dongmei
dc.contributor.authorSahli, Hichem
dc.contributor.imecauthorSahli, Hichem
dc.contributor.orcidimecsahli, hichem::0000-0002-1774-2970
dc.contributor.orcidimecSahli, Hichem::0000-0002-1774-2970
dc.date.accessioned2022-04-26T07:49:14Z
dc.date.available2022-03-26T02:08:18Z
dc.date.available2022-03-28T16:40:48Z
dc.date.available2022-04-26T07:49:14Z
dc.date.embargo2022-03-30
dc.date.issued2022
dc.description.wosFundingTextThis work is supported by the Agency for Innovation by Science and Technology in Flanders (IWT) PhD grant nr. 131814, the VUB Interdisciplinary Research Program through the EMO-App project, the Chinese Scolarship Council (CSC) through grants nr. 201506290085 and nr. 201706290115, and the National Natural Science Foundation of China (grant 61273265).
dc.identifier.doi10.1109/TAFFC.2019.2944603
dc.identifier.issn1949-3045
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/39528
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.beginpage426
dc.source.endpage439
dc.source.issue1
dc.source.journalIEEE TRANSACTIONS ON AFFECTIVE COMPUTING
dc.source.numberofpages14
dc.source.volume13
dc.subject.keywordsPARTIAL LEAST-SQUARES
dc.subject.keywordsCORE AFFECT
dc.subject.keywordsdeep learning, emotion
dc.title

Leveraging the Deep Learning Paradigm for Continuous Affect Estimation from Facial Expressions

dc.typeJournal article
dspace.entity.typePublication
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