Micro-expressions (MEs) are involuntary facial movements revealing people's hidden
feelings in high-stake situations and have practical importance in various fields. Early …

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 and subtle facial movements that are difficult to detect
and recognize. Most recent works have attempted to recognize MEs with spatial and …

With the recent development and application of human–computer interaction systems, facial
expression recognition (FER) has become a popular research area. The recognition of facial …

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

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

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 …

Recognition of micro-expressions remains a topic of concern considering its brief span and
low intensity. This issue is addressed through convolutional neural networks (CNNs) by …

Facial expression recognition in videos is an active area of research in computer vision.
However, fake facial expressions are difficult to be recognized even by humans. On the …

Micro-expressions (ME) are a special form of facial expressions which may occur when
people try to hide their true feelings for some reasons. MEs are important clues to reveal …