Publications (41)
Self-supervised Human Mesh Recovery with Cross-Representation Alignment
Xuan Gong, Meng Zheng, Benjamin Planche +4
Fully supervised human mesh recovery methods are data-hungry and have poor generalizability due to the limited availability and diversity of 3D-annotated benchmark datasets. Recent…
Automated Patient Positioning with Learned 3D Hand Gestures
Zhongpai Gao, Abhishek Sharma, Meng Zheng +3
Positioning patients for scanning and interventional procedures is a critical task that requires high precision and accuracy. The conventional workflow involves manually adjusting…
Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion
Meng Zheng, Benjamin Planche, Zhongpai Gao +3
Conventional 3D medical image segmentation methods typically require learning heavy 3D networks (e.g., 3D-UNet), as well as large amounts of in-domain data with accurate pixel/voxe…
XClipGS: Exact Half-Space Clipping for Medical Volume Gaussian Splatting
Zhongpai Gao, Benjamin Planche, Meng Zheng +4
Gaussian-splatting proxies enable interactive rendering of volumetric medical scans, but a clipping plane exposes anatomy not constrained by external-view training and intersects p…
Progressive Multi-view Human Mesh Recovery with Self-Supervision
Xuan Gong, Liangchen Song, Meng Zheng +5
To date, little attention has been given to multi-view 3D human mesh estimation, despite real-life applicability (e.g., motion capture, sport analysis) and robustness to single-vie…
MedGRPO: Multi-Task Reinforcement Learning for Heterogeneous Medical Video Understanding
Yuhao Su, Anwesa Choudhuri, Zhongpai Gao +8
Large vision-language models struggle with medical video understanding, where spatial precision, temporal reasoning, and clinical semantics are critical. To address this, we first…