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Yuanyuan Zhu

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Aug 2026

HPCLR: hierarchical part-aware contrastive learning for skeleton-based action recognition

HPCLR is a hierarchical part-aware contrastive learning framework for skeleton-based action recognition that leverages the consistency among joint, motion, and bone modalities to select more reliable positive samples, thereby contributing to more stable and informative multi-stream skeleton representations.

Hong-Wei Chen, Min Wei, Yuanyuan Zhu et al. · 0 citations

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