dc.contributor.author | Chen, Haifeng | |
dc.contributor.author | Jiang, Dongmei | |
dc.contributor.author | Zhao, Yong | |
dc.contributor.author | Wei, Xiaoyong | |
dc.contributor.author | Lu, Ke | |
dc.contributor.author | Sahli, Hichem | |
dc.date.accessioned | 2023-11-30T11:43:06Z | |
dc.date.available | 2023-10-27T16:54:40Z | |
dc.date.available | 2023-11-30T11:43:06Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 1949-3045 | |
dc.identifier.other | WOS:001075041900025 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/42976.2 | |
dc.source | WOS | |
dc.title | Region Attentive Action Unit Intensity Estimation With Uncertainty Weighted Multi-Task Learning | |
dc.type | Journal article | |
dc.contributor.imecauthor | Sahli, Hichem | |
dc.contributor.orcidimec | Sahli, Hichem::0000-0002-1774-2970 | |
dc.identifier.doi | 10.1109/TAFFC.2021.3139101 | |
dc.source.numberofpages | 15 | |
dc.source.peerreview | yes | |
dc.source.beginpage | 2033 | |
dc.source.endpage | 2047 | |
dc.source.journal | IEEE TRANSACTIONS ON AFFECTIVE COMPUTING | |
dc.source.issue | 3 | |
dc.source.volume | 14 | |
imec.availability | Published - imec | |
dc.description.wosFundingText | This work was supported in part by Shaanxi Provincial International Science and Technology Collaboration Project under Grant 2017KW-ZD-14, in part by the National Natural Science Foundation of China under Grant 61872256, in part by the National Natural Science Foundation of China under Grant U19B2037, and in part by VUB Interdisciplinary Research Program through the EMO-App project. | |