3 papers
cs.CV2026
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…
cs.CV2026
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…
cs.CV2026
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…