collaborators

6 papers

cs.CV2026

SurfSurg6D: Geometry Consistent Dense Correspondence for Textureless Surgical Instrument Pose Estimation

Daiyun Shen, Shuojue Yang, Chang Han Low +4

Surgical instrument pose estimation provides crucial information for promising applications, including autonomous robotic surgery, skill assessment, and standardization of surgical…

cs.RO2026

SurgCalib: Gaussian Splatting-Based Hand-Eye Calibration for Robot-Assisted Minimally Invasive Surgery

Zijian Wu, Shuojue Yang, Yu Chung Lee +3

We present a Gaussian Splatting-based framework for hand-eye calibration of the da Vinci surgical robot. In a vision-guided robotic system, accurate estimation of the rigid transfo…

cs.CV2025

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement

Qian Li, Feng Liu, Shuojue Yang +2

Laparoscopic liver surgery, while minimally invasive, poses significant challenges in accurately identifying critical anatomical structures. Augmented reality (AR) systems, integra…

cs.CV2025

Free-DyGS: Camera-Pose-Free Scene Reconstruction for Dynamic Surgical Videos with Gaussian Splatting

Qian Li, Shuojue Yang, Daiyun Shen +3

High-fidelity reconstruction of surgical scene is a fundamentally crucial task to support many applications, such as intra-operative navigation and surgical education. However, mos…

cs.CV2025

ToolTipNet: A Segmentation-Driven Deep Learning Baseline for Surgical Instrument Tip Detection

Zijian Wu, Shuojue Yang, Yueming Jin +1

In robot-assisted laparoscopic radical prostatectomy (RALP), the location of the instrument tip is important to register the ultrasound frame with the laparoscopic camera frame. A…

cs.CV2025

Instrument-Splatting: Controllable Photorealistic Reconstruction of Surgical Instruments Using Gaussian Splatting

Shuojue Yang, Zijian Wu, Mingxuan Hong +4

Real2Sim is becoming increasingly important with the rapid development of surgical artificial intelligence (AI) and autonomy. In this work, we propose a novel Real2Sim methodology,…