5 citations · 7 across the 7 of their papers we have counts for
7 papers
Dual Stream Independence Decoupling for True Emotion Recognition under Masked Expressions
Jinsheng Wei, Xiguang Zhang, Zheng Shi +1
Recongnizing true emotions from masked expressions is extremely challenging due to deliberate concealment. Existing paradigms recognize true emotions from masked-expression clips t…
Micro-AU CLIP: Fine-Grained Contrastive Learning from Local Independence to Global Dependency for Micro-Expression Action Unit Detection
Jinsheng Wei, Fengzhou Guo, Yante Li +3
Micro-expression (ME) action units (Micro-AUs) provide objective clues for fine-grained genuine emotion analysis. Most existing Micro-AU detection methods learn AU features from th…
FG-SGL: Fine-Grained Semantic Guidance Learning via Motion Process Decomposition for Micro-Gesture Recognition
Jinsheng Wei, Zhaodi Xu, Guanming Lu +2
Micro-gesture recognition (MGR) is challenging due to subtle inter-class variations. Existing methods rely on category-level supervision, which is insufficient for capturing subtle…
Prior Information based Decomposition and Reconstruction Learning for Micro-Expression Recognition
Jinsheng Wei, Haoyu Chen, Guanming Lu +3
Micro-expression recognition (MER) draws intensive research interest as micro-expressions (MEs) can infer genuine emotions. Prior information can guide the model to learn discrimin…
Geometric Graph Representation with Learnable Graph Structure and Adaptive AU Constraint for Micro-Expression Recognition
Jinsheng Wei, Wei Peng, Guanming Lu +3
Micro-expression recognition (MER) is valuable because micro-expressions (MEs) can reveal genuine emotions. Most works take image sequences as input and cannot effectively explore…
Deep Learning for Micro-expression Recognition: A Survey
Yante Li, Jinsheng Wei, Yang Liu +2
Micro-expressions (MEs) are involuntary facial movements revealing people's hidden feelings in high-stake situations and have practical importance in medical treatment, national se…
A comparative study on movement feature in different directions for micro-expression recognition
Jinsheng Wei, Guanming Lu, Jingjie Yan
Micro-expression can reflect people's real emotions. Recognizing micro-expressions is difficult because they are small motions and have a short duration. As the research is deepeni…