Micro-expressions (MEs) are involuntary movements revealing people's hidden feelings,
which has attracted numerous interests for its objectivity in emotion detection. However …

Micro-expressions, which are spontaneous and difficult to suppress, reveal a person's true
emotions. They are characterized by short duration and low intensity, making the task of …

A micro-expression is a fleeting, delicate and localized facial gesture. It can expose the true
feelings that someone is trying to hide and is seen to be a crucial indicator for spotting lies …

Micro-expression is a subtle facial movement that is fleeting and manifest in localized areas,
making it difficult for the human eye to detect and recognize it. Although algorithms that …

Micro-expression recognition (MER) is a pivotal research area within human emotion
analysis. However, the fleeting, subtle, and complex nature of micro-expressions poses …

Emotion recognition aims to discern the emotional state of subjects within an image, relying
on subject-centric and contextual visual cues. Current approaches typically follow a two …

Facial expressions are an essential part of human emotional communication, and micro-
expressions (MEs), as transient and imperceptible non-verbal signals, can potentially reveal …

In this paper, we propose a novel framework named DRL-CPG to learn disentangled latent
representation for controllable person image generation, which can produce realistic person …

Micro-expressions (MEs) are subtle expressions lasting a fraction of a second offering
valuable cues for understanding human emotions and intentions. However effectively …

Recently, deep learning-based micro-expression recognition (MER) has been remarkably
successful in the affective computing and computer vision communities. However, the most …