AI RESEARCH
MEDN: Motion-Emotion Feature Decoupling Network for Micro-Expression Recognition
arXiv CS.CV
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ArXi:2604.17899v1 Announce Type: new Unlike macro-expression, micro-expression does not follow a strictly consistent mapping rule between emotions and Action Units (AUs). As a result, some micro-expressions share identical AUs yet represent completely opposite emotional categories, making them highly visually similar. Existing microexpression recognition (MER) methods mostly rely on explicit facial motion cues (e.g., optical flow, frame differences, AU features) while ignoring implicit emotion information.