Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …

Unlike the conventional facial expressions, micro-expressions are involuntary and transient
facial expressions capable of revealing the genuine emotions that people attempt to hide …

Micro-expression (ME) is a significant non-verbal communication clue that reveals one
person's genuine emotional state. The development of micro-expression analysis (MEA) has …

Micro-expressions (MEs) are important clues for reflecting the real feelings of humans, and
micro-expression recognition (MER) can thus be applied in various real-world applications …

Recently, the recognition task of spontaneous facial micro-expressions has attracted much
attention with its various real-world applications. Plenty of handcrafted or learned features …

When a person attempts to conceal an emotion, the genuine emotion is manifest as a micro-
expression. Exploration of automatic facial micro-expression recognition systems is …

Micro-expressions recognition is a challenge because it involves subtle variations in facial
organs. In this paper, first, we propose a novel pipeline to learn a facial graph (nodes and …

Micro-expressions (MEs) are rapid and subtle facial movements that are difficult to detect
and recognize. Most recent works have attempted to recognize MEs with spatial and …

In the recent year, state-of-the-art for facial micro-expression recognition have been
significantly advanced by deep neural networks. The robustness of deep learning has …

We introduce a new dataset for the emotional artificial intelligence research: identity-free
video dataset for micro-gesture understanding and emotion analysis (iMiGUE). Different …