3 papers
cs.CV2026
SCARED-C: Corrected Camera Poses for Endoscopic Depth Estimation
John J. Han, Adam Schmidt, Max Allan +2
The SCARED dataset is a widely used benchmark for endoscopic depth estimation, offering ground-truth 3D reconstructions captured with a structured light sensor. However, the depth…
cs.CV2026
On the Role of Depth in Surgical Vision Foundation Models: An Empirical Study of RGB-D Pre-training
John J. Han, Adam Schmidt, Muhammad Abdullah Jamal +4
Vision foundation models (VFMs) have emerged as powerful tools for surgical scene understanding. However, current approaches predominantly rely on unimodal RGB pre-training, overlo…
cs.CV2025
EndoPBR: Material and Lighting Estimation for Photorealistic Surgical Simulations via Physically-based Rendering
John J. Han, Jie Ying Wu
The lack of labeled datasets in 3D vision for surgical scenes inhibits the development of robust 3D reconstruction algorithms in the medical domain. Despite the popularity of Neura…