A review of research on micro-expression recognition algorithms based on deep learning
F Zhang, L Chai - Neural Computing and Applications, 2024 - Springer
Micro-expression is a special kind of human emotion. Due to its characteristics of short time,
low intensity, and local region, micro-expression recognition is a difficult task. At the same …
low intensity, and local region, micro-expression recognition is a difficult task. At the same …
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 …
recognition task still remains a great challenge because MEs have very low intensity and …
LAENet for micro-expression recognition
Micro-expression is an expression that reveals one's true feelings and can be potentially
applied in various domains such as healthcare, safety interrogation, and business …
applied in various domains such as healthcare, safety interrogation, and business …
Spatiotemporal features fusion from local facial regions for micro-expressions recognition
Facial micro-expressions (MiEs) analysis has applications in various fields, including
emotional intelligence, psychotherapy, and police investigation. However, because MiEs are …
emotional intelligence, psychotherapy, and police investigation. However, because MiEs are …
The heterogeneous ensemble of deep forest and deep neural networks for micro-expressions recognition
Abstract Micro-Expressions (MEs) are a kind of short-lived and uncontrollable facial
expressions. Therefore, the MEs recognition task poses a great challenge to both the …
expressions. Therefore, the MEs recognition task poses a great challenge to both the …
From methods to datasets: a detailed study on facial emotion recognition
Human ideas and sentiments are mirrored in facial expressions. Facial expression
recognition (FER) is a crucial type of visual data that can be utilized to deduce a person's …
recognition (FER) is a crucial type of visual data that can be utilized to deduce a person's …
Parallel multiscale context-based edge-preserving optical flow estimation with occlusion detection
Although convolutional neural network (CNN)-based optical flow approaches have exhibited
good performance in terms of computational accuracy and efficiency in recent years, the …
good performance in terms of computational accuracy and efficiency in recent years, the …
An improved automatic defect identification system on natural leather via generative adversarial network
The past decade has witnessed an impetus in the rise of artificial intelligence techniques in
a diverse range of computer vision-relevant applications. Specifically, automated optical …
a diverse range of computer vision-relevant applications. Specifically, automated optical …
Micro-expression recognition in wild video environments: Latent feature-based ANN (LFANN) from 3D reconstructed faces
Facial micro-expression (ME) recognition has garnered substantial interest in both computer
vision and psychology for its ability to detect nonverbal emotions through subtle, involuntary …
vision and psychology for its ability to detect nonverbal emotions through subtle, involuntary …
Micro-expression recognition by motion feature extraction based on pre-training
R Li, L Wang, T Yang, L Xu, B Ma, Y Li… - arxiv preprint arxiv …, 2024 - arxiv.org
Micro-expressions (MEs) are spontaneous, unconscious facial expressions that have
promising applications in various fields such as psychotherapy and national security. Thus …
promising applications in various fields such as psychotherapy and national security. Thus …