Yanguang Wan — accepted AI-conference papers

2025

DiffGrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model

Yonghao Zhang, Qiang He, Yanguang Wan, Yinda Zhang, Xiaoming Deng, Cuixia Ma +1

AAAI 2025technical

Generating high-quality whole-body human object interaction motion sequences is becoming increasingly important in various fields such as animation, VR/AR, and robotics. The main challenge of this task lies in determining the level of involvement of each hand given the complex shapes of objects in d…

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2022

Efficient Virtual View Selection for 3D Hand Pose Estimation

Jian Cheng, Yanguang Wan, Dexin Zuo, Cuixia Ma, Jian Gu, Ping Tan +3

AAAI 2022technical

3D hand pose estimation from single depth is a fundamental problem in computer vision, and has wide applications. However, the existing methods still can not achieve satisfactory hand pose estimation results due to view variation and occlusion of human hand. In this paper, we propose a new virtual v…

Cited by 33 Source ↗PDF ↗code ↗Scholar ↗