2 papers
cs.CV2026
Language-Guided Transformer Tokenizer for Human Motion Generation
Sheng Yan, Yong Wang, Xin Du +2
In this paper, we focus on motion discrete tokenization, which converts raw motion into compact discrete tokens--a process proven crucial for efficient motion generation. In this p…
cs.CV2026
Prompt When the Animal is: Temporal Animal Behavior Grounding with Positional Recovery Training
Sheng Yan, Xin Du, Zongying Li +3
Temporal grounding is crucial in multimodal learning, but it poses challenges when applied to animal behavior data due to the sparsity and uniform distribution of moments. To addre…