Weiquan Wang — accepted AI-conference papers

2026

Rendering Multi-Human and Multi-Object with 3D Gaussian Splatting

Weiquan Wang, Jun Xiao, Feifei Shao, Yi Yang, Yueting Zhuang, Long Chen

ICRA 2026poster

Reconstructing dynamic scenes with multiple interacting humans and objects from sparse-view inputs is a critical yet challenging task, essential for creating high-fidelity digital twins for robotics and VR/AR. This problem, which we term Multi-Human Multi-Object (MHMO) rendering, presents two signif…

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2024

$\text{Di}^2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation

Weiquan Wang, Jun Xiao, Chunping Wang, Wei Liu, Zhao Wang, Long Chen

NeurIPS 2024poster

Diffusion models have demonstrated their effectiveness in addressing the inherent uncertainty and indeterminacy in monocular 3D human pose estimation (HPE). Despite their strengths, the need for large search spaces and the corresponding demand for substantial training data make these models prone t…

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