Abstract—Micro-expression recognition is a challenging task in computer vision field due to the repressed facial appearance and short duration.
Abstract—Micro-expression recognition is a challenging task in computer vision field due to the repressed facial appearance and short duration.
This paper is the first work to explore the possible use of deep learning for micro-expression recognition task and extends evolutionary algorithms to ...
This paper explores the use of constrained maximum likelihood linear regression (CMLLR) transforms as features for language recognition. Modeling is carried out ...
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This paper is the first work to explore the possible use of deep learning for micro-expression recognition task. Due to the lack of data for micro-expression, ...
Selective deep features for micro-expression recognition. In Proc. ICPR. [44] Veena Mayya, Radhika M Pai, and MM Manohara Pai. 2016. Combining temporal ...
Dec 5, 2023 · This paper analyzes the prominent applications of Micro-expression recognition and basic differences between two forms of facial expression ( ...
Jul 26, 2023 · This paper proposes a novel multi-scale fusion visual attention network (MFVAN), which learns multi-scale local attention weights to mask regions of redundancy ...
A novel end-to-end facial micro-expression detection framework, called Deep3DCANN, is proposed to integrate these components for effective micro-expression ...
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Micro-expressions (MEs) are involuntary facial movements revealing people's hidden feelings in high-stake situations and have practical importance in various ...