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Former-DFER: Dynamic Facial Expression Recognition Transformer

ACM Multimedia, 2021
This 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
semanticscholar   +1 more source

Facial Expression Recognition Using Residual Masking Network

International Conference on Pattern Recognition, 2021
Automatic 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
semanticscholar   +1 more source

Facial Expression Recognition [PDF]

open access: possibleSSRN Electronic Journal, 2021
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
openaire   +1 more source

Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition

Computer Vision and Pattern Recognition, 2020
Many 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
semanticscholar   +1 more source

Investigating Bias and Fairness in Facial Expression Recognition

ECCV Workshops, 2020
Recognition 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
semanticscholar   +1 more source

Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition

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
semanticscholar   +1 more source

Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism

IEEE Transactions on Image Processing, 2019
Facial 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
semanticscholar   +1 more source

A facial expression for anxiety.

Journal of Personality and Social Psychology, 2012
Anxiety 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
openaire   +4 more sources

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