A systematic review on affective computing: Emotion models, databases, and recent advances
Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
Video-based facial micro-expression analysis: A survey of datasets, features and algorithms
Unlike the conventional facial expressions, micro-expressions are involuntary and transient
facial expressions capable of revealing the genuine emotions that people attempt to hide …
facial expressions capable of revealing the genuine emotions that people attempt to hide …
Au-assisted graph attention convolutional network for micro-expression recognition
Micro-expressions (MEs) are important clues for reflecting the real feelings of humans, and
micro-expression recognition (MER) can thus be applied in various real-world applications …
micro-expression recognition (MER) can thus be applied in various real-world applications …
Micro-expression recognition based on facial graph representation learning and facial action unit fusion
L Lei, T Chen, S Li, J Li - … of the IEEE/CVF conference on …, 2021 - openaccess.thecvf.com
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 …
organs. In this paper, first, we propose a novel pipeline to learn a facial graph (nodes and …
Joint local and global information learning with single apex frame detection for micro-expression 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 …
and recognize. Most recent works have attempted to recognize MEs with spatial and …
Enriched long-term recurrent convolutional network for facial micro-expression recognition
Facial micro-expression (ME) recognition has posed a huge challenge to researchers for its
subtlety in motion and limited databases. Recently, handcrafted techniques have achieved …
subtlety in motion and limited databases. Recently, handcrafted techniques have achieved …
CapsuleNet for micro-expression recognition
N Van Quang, J Chun… - 2019 14th IEEE …, 2019 - ieeexplore.ieee.org
Facial micro-expression recognition has attracted researchers in terms of its objectiveness to
reveal the true emotion of a person. However, the limited number of publicly available …
reveal the true emotion of a person. However, the limited number of publicly available …
Dual-stream shallow networks for facial micro-expression recognition
Micro-expressions are spontaneous, brief and subtle facial muscle movements that exposes
underlying emotions. Motivated by recent exploits into deep learning for micro-expression …
underlying emotions. Motivated by recent exploits into deep learning for micro-expression …
A two-stage 3D CNN based learning method for spontaneous micro-expression recognition
Micro-expressions (MEs) are spontaneous and involuntary facial subtle reactions which
often reveal the genuine emotions within human beings. Recognizing MEs automatically is …
often reveal the genuine emotions within human beings. Recognizing MEs automatically is …
ME-PLAN: A deep prototypical learning with local attention network for dynamic micro-expression recognition
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 …
spontaneous and subtle facial movements, which usually occur in a high-stake situation and …