Yuliang Wu — accepted AI-conference papers

2026

DexGrasp-Zero: A Morphology-Aligned Policy for Zero-Shot Cross-Embodiment Dexterous Grasping

Yuliang Wu, Yanhan Lin, Wengkit Lao, Yuhao Lin, Yi-Lin Wei, Wei-Shi Zheng +1

RSS 2026poster

To meet the demands of increasingly diverse dexterous hand hardware, it is crucial to develop a policy that enables zero-shot cross-embodiment grasping without redundant re-learning. Cross-embodiment alignment is challenging due to heterogeneous hand kinematics and physical constraints. Existing app…

Cited by 0 Source ↗Scholar ↗

2026

Event-based Visual Deformation Measurement

Yuliang Wu, Wei Zhai, Yuxin Cui, Tiesong Zhao, Yang Cao, Zheng-Jun Zha

CVPR 2026

Visual Deformation Measurement (VDM) aims to recover dense deformation fields by tracking surface motion from camera observations. Traditional image-based methods rely on minimal inter-frame motion to constrain the correspondence search space, which limits their applicability to highly dynamic scene

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