Deep learning for micro-expression recognition: A survey

Y Li, J Wei, Y Liu, J Kauttonen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Micro-expressions (MEs) are involuntary facial movements revealing people's hidden
feelings in high-stake situations and have practical importance in various fields. Early …

Facial Micro-expressions: an overview

G Zhao, X Li, Y Li, M Pietikäinen - Proceedings of the IEEE, 2023 - ieeexplore.ieee.org
Micro-expression (ME) is an involuntary, fleeting, and subtle facial expression. It may occur
in high-stake situations when people attempt to conceal or suppress their true feelings …

4DME: A spontaneous 4D micro-expression dataset with multimodalities

X Li, S Cheng, Y Li, M Behzad, J Shen… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Micro-expressions (ME) are a special form of facial expressions which may occur when
people try to hide their true feelings for some reasons. MEs are important clues to reveal …

Inceptr: micro-expression recognition integrating inception-CBAM and vision transformer

H Zhou, S Huang, Y Xu - Multimedia Systems, 2023 - Springer
Abstract Micro-Expressions (MEs) are the instantaneous and subtle facial movement that
conveys crucial emotional information. However, traditional neural networks face difficulties …

Micro-expression recognition with supervised contrastive learning

R Zhi, J Hu, F Wan - Pattern Recognition Letters, 2022 - Elsevier
Facial micro-expressions are involuntary movements of facial muscles that expose
individual underlying emotions. Because of the subtle and diverse facial muscles change …

Block division convolutional network with implicit deep features augmentation for micro-expression recognition

B Chen, KH Liu, Y Xu, QQ Wu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Despite the development of computer vision techniques, the micro-expression (ME)
recognition task still remains a great challenge because MEs have very low intensity and …

Temporal augmented contrastive learning for micro-expression recognition

T Wang, L Shang - Pattern Recognition Letters, 2023 - Elsevier
Micro-expressions (MEs) can reveal the hidden but real emotion and are usually caused
spontaneously. However, the characteristics of subtlety and temporariness with the lack of …

[HTML][HTML] Dual-atme: dual-branch attention network for micro-expression recognition

H Zhou, S Huang, J Li, SJ Wang - Entropy, 2023 - mdpi.com
Micro-expression recognition (MER) is challenging due to the difficulty of capturing the
instantaneous and subtle motion changes of micro-expressions (MEs). Early works based …

Three stream graph attention network using dynamic patch selection for the classification of micro-expressions

AJR Kumar, B Bhanu - … of the IEEE/CVF Conference on …, 2022 - openaccess.thecvf.com
To understand the genuine emotions expressed by humans during social interactions, it is
necessary to recognize the subtle changes on the face (micro-expressions) demonstrated by …

Uncovering Hidden Emotions with Adaptive Multi-Attention Graph Networks

AJR Kumar, B Bhanu - … of the IEEE/CVF Conference on …, 2024 - openaccess.thecvf.com
Micro-expressions (MEs) are subtle expressions lasting a fraction of a second offering
valuable cues for understanding human emotions and intentions. However effectively …