4 papers
CAST: Real-Time Motion Capture for Any Skeleton Topology
Pu Pang, Zhongfei Qing, Ling-Hao Chen +3
This paper studies the problem of recovering motion from monocular video, even when the target skeleton topology differs from the subject observed in the video. Although previous m…
Bridging Simulation and Reality: Cross-Domain Transfer with Semantic 2D Gaussian Splatting
Jian Tang, Pu Pang, Haowen Sun +4
Cross-domain transfer in robotic manipulation remains a longstanding challenge due to the significant domain gap between simulated and real-world environments. Existing methods suc…
TSGS: Improving Gaussian Splatting for Transparent Surface Reconstruction via Normal and De-lighting Priors
Mingwei Li, Pu Pang, Hehe Fan +2
Reconstructing transparent surfaces is essential for tasks such as robotic manipulation in labs, yet it poses a significant challenge for 3D reconstruction techniques like 3D Gauss…
GNN-Coder: Boosting Semantic Code Retrieval with Combined GNNs and Transformer
Yufan Ye, Pu Pang, Ting Zhang +1
Code retrieval is a crucial component in modern software development, particularly in large-scale projects. However, existing approaches relying on sequence-based models often fail…