A subject-invariant cross-modal prompt-tuning method with decoupled shared-specific adapters fuses facial and rPPG features in a frozen ViT to improve video-based emotion recognition accuracy and cross-subject generalization on MAHNOB-HCI and DEAP.
Recognizing, fast and slow: Complex emotion recognition with facial expression detection and remote physiological measurement,
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Adaptive Physical-Facial Representation Fusion via Subject-Invariant Cross-Modal Prompt Tuning for Video-Based Emotion Recognition
A subject-invariant cross-modal prompt-tuning method with decoupled shared-specific adapters fuses facial and rPPG features in a frozen ViT to improve video-based emotion recognition accuracy and cross-subject generalization on MAHNOB-HCI and DEAP.