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Facial Expression Recognition by De-expression Residue Learning
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018A facial expression is a combination of an expressive component and a neutral component of a person. In this paper, we propose to recognize facial expressions by extracting information of the expressive component through a de-expression learning ...
Huiyuan Yang, U. Ciftci, L. Yin
semanticscholar +1 more source
Perception of facial expressions
Brain and Language, 1981Abstract Three studies examined the nature of the contributions of each hemisphere to the processing of facial expressions and facial identity. A pair of faces, the members of which differed in either expression or identity, were presented to the right or left field. Subjects were required to compare the members of the pair to each other (experiments
E, Strauss, M, Moscovitch
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Sixteen facial expressions occur in similar contexts worldwide
Nature, 2020Alan S Cowen +2 more
exaly
Facial Expression Analysis under Partial Occlusion
ACM Computing Surveys, 2019Ligang Zhang +2 more
exaly
Identifying facial phenotypes of genetic disorders using deep learning
Nature Medicine, 2019Yaron Gurovich, Yair Hanani, Omri Bar
exaly