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 …

Object detection accuracy degrades seriously in visually degraded scenes. A natural
solution is to first enhance the degraded image and then perform object detection. However …

Micro-expressions are spontaneous, rapid and subtle facial movements that can neither be
forged nor suppressed. They are very important nonverbal communication clues, but are …

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 …

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 …

Being spontaneous, micro-expressions are useful in the inference of a person's true
emotions even if an attempt is made to conceal them. Due to their short duration and low …

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

As one of the important psychological stress reactions, Micro-expressions (MEs) are
spontaneous and subtle facial movements, which usually occur in a high-stake situation and …