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cs.RO2026
Traceable Human-to-Humanoid Sign Language Benchmarking
Ao Liu, Shengeng Tang, Lechao Cheng +3
Sign data collection is costly, and teleoperation scales poorly, motivating reuse of large video corpora. Humanoid signing requires converting video-derived human motion into robot…
cs.AI2026
Naturalness-guided Manifold Flow Matching for Sign Language Production
Jiayi He, Shengeng Tang, Sisi You +3
Sign Language Production (SLP) aims to generate sign motions from text. Conditional Flow Matching methods have achieved strong performance in SLP by constructing conditional paths…
cs.CV2026
Towards Multi-View Sign Language Understanding: A Benchmark Dataset and Baseline
Xu Wang, Shengeng Tang, Wan Jiang +3
Most existing Sign Language Understanding (SLU) methods are developed under fixed-view settings and remain vulnerable to viewpoint changes, while the scarcity of multi-view data hi…