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MERTA: micro-expression recognition with ternary attentions
Multimedia Tools and Applications, 2019Micro-expression is a spontaneous and uncontrollable way to convey emotions. It contains abundant psychological information, whose recognition has significant importance in various fields. In recent years, with the rapid development of computer vision, the research of facial expression tends to be more mature while the research of micro-expression ...
Bing Yang +4 more
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Micro Expression Recognition Training in College Students
2018 First Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia), 2018Background: The ability to recognize emotions is vital during the interpersonal communication. It is hypothesized that the training of micro expression can improve the ability to recognize emotions. We developed a Chinese version micro expression recognition training tool and used it to test the hypothesis. Methods: Forty-one college students (20 males,
Lei Chen +3 more
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AU‐Guided Feature Aggregation for Micro‐Expression Recognition
Computer Animation and Virtual WorldsABSTRACTMicro‐expressions (MEs) are spontaneous and transient facial movements that reflect real internal emotions and have been widely applied in various fields. Recent deep learning‐based methods have been rapidly developing in micro‐expression recognition (MER).Still, it is typical to focus on the one‐sided nature of MEs, covering only ...
Xiaohui Tan +4 more
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LAENet for micro-expression recognition
The Visual Computer, 2023Y. S. Gan +3 more
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Dynamic Micro-Expression Recognition Using Knowledge Distillation
IEEE Transactions on Affective Computing, 2022Bo Sun, Siming Cao, Jun He
exaly
GEME: Dual-stream multi-task GEnder-based micro-expression recognition
Neurocomputing, 2021Madhumita Takalkar, Haimin Zhang, Min Xu
exaly
Current Trends in Micro-Expression Recognition
The detection and recognition of micro-expressions have garnered significant attention in the field of computer vision, with applications ranging from localization to feature extraction and identification. These micro expressions are brief, involuntary facial movements lasting only fractions of a second (typically between 0.05 to 0.2 seconds).openaire +1 more source
Multi-scale joint feature network for micro-expression recognition
Computational Visual Media, 2021Yuanfeng Zhou
exaly