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

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 …

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 …

Abstract Recently, GPT-4 with Vision (GPT-4V) has demonstrated remarkable visual
capabilities across various tasks, but its performance in emotion recognition has not been …

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 …

Micro-expression spotting is a fundamental step in the micro-expression analysis. This
paper proposes a novel network based convolutional neural network (CNN) for spotting …

Composite-database micro-expression recognition is attracting increasing attention as it is
more practical for real-world applications. Though the composite database provides more …

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 …

Micro-expressions are spontaneous, brief and subtle facial muscle movements that exposes
underlying emotions. Motivated by recent exploits into deep learning for micro-expression …