Linhui Dai

Achieve interpretable object detection in low-quality images without image enhancement or complex architectures by learning hierarchical prototypes that model class-specific semantics.

State-of-the-art skeleton-based action recognition is now possible through a game-theoretic contrastive learning framework that maximizes action-relevant information while minimizing encoding redundancy.