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cs.CV2026
Generative Data Augmentation for Skeleton Action Recognition
Xu Dong, Wanqing Li, Anthony Adeyemi-Ejeye +1
Skeleton-based human action recognition is a powerful approach for understanding human behaviour from pose data, but collecting large-scale, diverse, and well-annotated 3D skeleton…
cs.CV2026
Human-AI Divergence in Ego-centric Action Recognition under Spatial and Spatiotemporal Manipulations
Sadegh Rahmaniboldaji, Filip Rybansky, Quoc C. Vuong +3
Humans consistently outperform state-of-the-art AI models in action recognition, particularly in challenging real-world conditions involving low resolution, occlusion, and visual c…