5 papers
DirtyMoCap: Robust Motion Capture from Unconstrained Markers
Long Wang, Shuting Zhao, Shen Yan +5
Optical motion capture delivers high-fidelity human motion, but its reliance on strict marker layouts and clean trajectories severely limits its real-world applicability. In practi…
KineST: A Kinematics-guided Spatiotemporal State Space Model for Human Motion Tracking from Sparse Signals
Shuting Zhao, Zeyu Xiao, Xinrong Chen
Full-body motion tracking plays an essential role in AR/VR applications, bridging physical and virtual interactions. However, it is challenging to reconstruct realistic and diverse…
SSD-Poser: Avatar Pose Estimation with State Space Duality from Sparse Observations
Shuting Zhao, Linxin Bai, Liangjing Shao +2
The growing applications of AR/VR increase the demand for real-time full-body pose estimation from Head-Mounted Displays (HMDs). Although HMDs provide joint signals from the head a…
REMOTE: Real-time Ego-motion Tracking for Various Endoscopes via Multimodal Visual Feature Learning
Liangjing Shao, Benshuang Chen, Shuting Zhao +1
Real-time ego-motion tracking for endoscope is a significant task for efficient navigation and robotic automation of endoscopy. In this paper, a novel framework is proposed to perf…
Towards Full-parameter and Parameter-efficient Self-learning For Endoscopic Camera Depth Estimation
Shuting Zhao, Chenkang Du, Kristin Qi +2
Adaptation methods are developed to adapt depth foundation models to endoscopic depth estimation recently. However, such approaches typically under-perform training since they limi…