An overview of facial micro-expression analysis: Data, methodology and challenge
Facial micro-expressions indicate brief and subtle facial movements that appear during
emotional communication. In comparison to macro-expressions, micro-expressions are …
emotional communication. In comparison to macro-expressions, micro-expressions are …
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 …
A survey of micro-expression recognition methods based on lbp, optical flow and deep learning
Micro-expressions typically reflect suppressed feelings and they can provide an accurate
indication of the real feelings and motivations of a person. Accordingly, they have been used …
indication of the real feelings and motivations of a person. Accordingly, they have been used …
Feature representation learning with adaptive displacement generation and transformer fusion for micro-expression recognition
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 …
forged nor suppressed. They are very important nonverbal communication clues, but are …
Facial prior guided micro-expression generation
This paper focuses on the facial micro-expression (FME) generation task, which has
potential application in enlarging digital FME datasets, thereby alleviating the lack of training …
potential application in enlarging digital FME datasets, thereby alleviating the lack of training …
Automatic assessment method and device for depression symptom severity based on emotional facial expression and pupil-wave
M Li, Z Lu, Q Cao, J Gao, B Hu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Depression is a serious mental disorder, significantly burdens individuals, families, and
society. For clinical psychiatrists, assessing the severity of depression is a crucial tool in …
society. For clinical psychiatrists, assessing the severity of depression is a crucial tool in …
Dual-atme: dual-branch attention network for micro-expression recognition
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 …
instantaneous and subtle motion changes of micro-expressions (MEs). Early works based …
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 …
spontaneously. However, the characteristics of subtlety and temporariness with the lack of …
Shallow multi-branch attention convolutional neural network for micro-expression recognition
G Wang, S Huang, Z Tao - Multimedia Systems, 2023 - Springer
Micro-expression recognition (MER) has become challenging because it is difficult to extract
subtle facial variations of micro-expressions (MEs). Several approaches have been recently …
subtle facial variations of micro-expressions (MEs). Several approaches have been recently …
MMNet: Muscle motion-guided network for micro-expression recognition
Facial micro-expressions (MEs) are involuntary facial motions revealing peoples real
feelings and play an important role in the early intervention of mental illness, the national …
feelings and play an important role in the early intervention of mental illness, the national …