Kaiyan Xiao — accepted AI-conference papers

2026

GroundVTS: Visual Token Sampling in Multimodal Large Language Models for Video Temporal Grounding

Rong Fan, Kaiyan Xiao, Minghao Zhu, Liuyi Wang, Kai Dai, Zhao Yang

CVPR 2026

Video temporal grounding (VTG) is a critical task in video understanding and a key capability for extending video large language models (Vid-LLMs) to broader applications. However, existing Vid-LLMs rely on uniform frame sampling to extract video information, resulting in a sparse distribution of ke

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2025

Reinforcement Learning-based Optimization of Humanoid Joint Motion Control via Text-driven Human Motion Mapping

Zihan Xu, Mengxian Hu, Kaiyan Xiao, Qin Fang, Chengju Liu, Qijun Chen

IROS 2025

Human motion retargeting for humanoid robots, transferring human motion data to robots for imitation, presents significant challenges but offers considerable potential for real-world applications. Traditionally, this process relies on human demonstrations captured through pose estimation or motion c

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