Liangjing Shao — accepted AI-conference papers

2025

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training

Liangjing Shao, Linxin Bai, Chenkang Du, Xinrong Chen

IROS 2025

Monocular depth estimation and ego-motion estimation are significant tasks for scene perception and navigation in stable, accurate and efficient robot-assisted endoscopy. To tackle lighting variations and sparse textures in endoscopic scenes, multiple techniques including optical flow, appearance fl

Cited by 1 Source ↗code ↗Scholar ↗

2025

Remote: Real-Time Ego-Motion Tracking for Various Endoscopes via Multimodal Visual Feature Learning

Liangjing Shao, Benshuang Chen, Shuting Zhao, Xinrong Chen

ICRA 2025

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 perform real-time ego-motion tracking for endoscope. Firstly, a multi-modal visual feature learning network is proposed to p

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