Over the last few years, automatic facial micro-expression analysis has garnered increasing
attention from experts across different disciplines because of its potential applications in …

Micro-expression (ME) recognition has attracted numerous interests within the computer
vision circle in different contexts particularly, localization, magnification, and recognition …

Micro-expressions (MEs) are rapid, involuntary facial expressions which reveal emotions
that people do not intend to show. Studying MEs is valuable as recognizing them has many …

Despite recent interest and advances in facial micro-expression research, there is still plenty
of room for improvement in terms of micro-expression recognition. Conventional feature …

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 …

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 …

Recently, there have been increasing interests in inferring mirco-expression from facial
image sequences. Due to subtle facial movement of micro-expressions, feature extraction …

Facial expression is related to facial muscle contractions and different muscle movements
correspond to different emotional states. For micro-expression recognition, the muscle …

Micro-expression recognition aims to infer genuine emotions that people try to conceal from
facial video clips. It is a very challenging task because micro-expressions have a very low …

Micro-expression recognition (MER) has attracted much attention with various practical
applications, particularly in clinical diagnosis and interrogations. In this paper, we propose a …