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 …
Spatiotemporal recurrent convolutional networks for recognizing spontaneous micro-expressions
Recently, the recognition task of spontaneous facial micro-expressions has attracted much
attention with its various real-world applications. Plenty of handcrafted or learned features …
attention with its various real-world applications. Plenty of handcrafted or learned features …
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 …
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 …
Revealing the invisible with model and data shrinking for composite-database micro-expression recognition
Composite-database micro-expression recognition is attracting increasing attention as it is
more practical for real-world applications. Though the composite database provides more …
more practical for real-world applications. Though the composite database provides more …
A novel graph-tcn with a graph structured representation for micro-expression recognition
L Lei, J Li, T Chen, S Li - Proceedings of the 28th ACM International …, 2020 - dl.acm.org
Facial micro-expressions (MEs) recognition has attracted much attention recently. However,
because MEs are spontaneous, subtle and transient, recognizing MEs is a challenge task. In …
because MEs are spontaneous, subtle and transient, recognizing MEs is a challenge task. In …
Recognizing facial expressions using a shallow convolutional neural network
S Miao, H Xu, Z Han, Y Zhu - IEEE access, 2019 - ieeexplore.ieee.org
Generally, facial expressions could be classified into two categories: static facial
expressions and micro-expressions. There are many promising applications of facial …
expressions and micro-expressions. There are many promising applications of facial …
GEME: Dual-stream multi-task GEnder-based micro-expression recognition
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 …
low intensity. This issue is addressed through convolutional neural networks (CNNs) by …