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cs.CV2025
DuoCLR: Dual-Surrogate Contrastive Learning for Skeleton-based Human Action Segmentation
Haitao Tian, Pierre Payeur
In this paper, a contrastive representation learning framework is proposed to enhance human action segmentation via pre-training using trimmed (single action) skeleton sequences. U…
cs.CV2024
Stitch Contrast and Segment_Learning a Human Action Segmentation Model Using Trimmed Skeleton Videos
Haitao Tian, Pierre Payeur
Existing skeleton-based human action classification models rely on well-trimmed action-specific skeleton videos for both training and testing, precluding their scalability to real-…