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Former-DFER: Dynamic Facial Expression Recognition Transformer
ACM Multimedia, 2021This paper proposes a dynamic facial expression recognition transformer (Former-DFER) for the in-the-wild scenario. Specifically, the proposed Former-DFER mainly consists of a convolutional spatial transformer (CS-Former) and a temporal transformer (T ...
Zengqun Zhao, Qingshan Liu
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Facial Expression Recognition Using Residual Masking Network
International Conference on Pattern Recognition, 2021Automatic facial expression recognition (FER) has gained much attention due to its applications in human-computer interaction. Among the approaches to improve FER tasks, this paper focuses on deep architecture with the attention mechanism.
Luan Pham, T. H. Vu, T. A. Tran
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Facial Expression Recognition [PDF]
This paper aims to incorporate facial expression recognition needs and applications. The expression of the face is the mode of non-verbal communications between the verbals and nonverbs.. It reflects or fills a human perspective and its mental state. A major research initiative was conducted over two decades to develop human computer interaction.
Pushpendra Yadav+2 more
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Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition
Computer Vision and Pattern Recognition, 2020Many existing studies reveal that annotation inconsistency widely exists among a variety of facial expression recognition (FER) datasets. The reason might be the subjectivity of human annotators and the ambiguous nature of the expression labels.
Shikai Chen+5 more
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Investigating Bias and Fairness in Facial Expression Recognition
ECCV Workshops, 2020Recognition of expressions of emotions and affect from facial images is a well-studied research problem in the fields of affective computing and computer vision with a large number of datasets available containing facial images and corresponding ...
Tian Xu+3 more
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IEEE Transactions on Image Processing, 2019
Facial expression is central to human experience, but most previous databases and studies are limited to posed facial behavior under controlled conditions.
Shan Li, Weihong Deng
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Facial expression is central to human experience, but most previous databases and studies are limited to posed facial behavior under controlled conditions.
Shan Li, Weihong Deng
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Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism
IEEE Transactions on Image Processing, 2019Facial expression recognition in the wild is challenging due to various unconstrained conditions. Although existing facial expression classifiers have been almost perfect on analyzing constrained frontal faces, they fail to perform well on partially ...
Yong Li+3 more
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A facial expression for anxiety.
Journal of Personality and Social Psychology, 2012Anxiety and fear are often confounded in discussions of human emotions. However, studies of rodent defensive reactions under naturalistic conditions suggest anxiety is functionally distinct from fear. Unambiguous threats, such as predators, elicit flight from rodents (if an escape-route is available), whereas ambiguous threats (e.g., the odor of a ...
Perkins, Adam M.+4 more
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