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Wen-Ming Cao

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Oct 2026

Personal interaction-aware robust multi-domain representation learning for skeleton-based action recognition via asymmetric contrastive learning

A novel contrastive learning framework, PIA-ACL, which explicitly model the person dimension to construct domain-level local interaction representations, enhancing the model’s capability in understanding multi-person actions and proposing an Asymmetric Multi-Query Augmentation strategy to facilitate contrastive learnin...

Wen-Ming Cao, Wen-Rui Shen, Ying-Fei Wu · 0 citations
Aug 2026

MEMC: Masked modeling with efficient and minimal contrastive learning for self-supervised skeleton-based action recognition.

This work proposes MEMC (Masked Modeling with Efficient and Minimal Contrastive Learning), a novel framework that adopts an efficient sequential cascade strategy based on layer-grafted pretraining and introduces two CL enhancements to improve the discriminative capability of the learned representations.

Yingfei Wu, Wenming Cao, Xinpeng Yin · 0 citations

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