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For micro-expression recognition: Database and suggestions
Neurocomputing, 2014 Micro-expression is gaining more attention in both the scientific field and the mass media. It represents genuine emotions that people try to conceal, thus making it a promising cue for lie detection.
Wen-Jing Yan +2 more
exaly +1 more source
Micro-attention for micro-expression recognition [PDF]
Neurocomputing, 2020 Micro-expression, for its high objectivity in emotion detection, has emerged to be a promising modality in affective computing. Recently, deep learning methods have been successfully introduced into the micro-expression recognition area.
Chongyang Wang, Min Peng, Tong Chen
exaly +2 more sources
Macro-to-micro transformation model for micro-expression recognition
Journal of Computational Science, 2018 International audienceAs one of the most important forms of psychological behaviors, micro-expression can reveal the real emotion. However, the existing labeled training samples are limited to train a high performance model.
Xianye Ben, Hui Yuan, Kidiyo Kpalma
exaly +2 more sources
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Dynamic Micro-Expression Recognition Using Knowledge Distillation
IEEE Transactions on Affective Computing, 2022Bo Sun, Siming Cao, Jun He
exaly
Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Xianye Ben +2 more
exaly
GEME: Dual-stream multi-task GEnder-based micro-expression recognition
Neurocomputing, 2021Xuan Nie +2 more
exaly
Micro-expression action unit detection with spatial and channel attention
Neurocomputing, 2021Yante Li, Xiaohua Huang, Guoying Zhao
exaly