most citedMismatched: Evaluating the Limits of Image Matching Approaches and Benchmarks

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

KFSLAM: Adaptive KeyFrame Selection with Structure-Aware Mapping for Endoscopic Gaussian Splatting SLAM

Xinwei Ju, Zhehua Mao, Tianyi Song +3

Gaussian-splatting Simultaneous Localization and Mapping (SLAM) augments conventional SLAM with a dense, renderable 3D scene representation, enabling high-quality reconstruction an…

cs.CV2026

Track2Map: Online Deformable SLAM with Motion-Aware Pose Optimization in Robotic Surgery

Tianyi Song, Sierra Bonilla, Xinwei Ju +6

Gaussian splatting is the current state-of-the-art for dense, deformable 3D anatomy reconstruction in robot-assisted minimally invasive surgery (RAMIS); however, most pipelines are…

cs.CV2026

Multi-Modal Monocular Endoscopic Depth and Pose Estimation with Edge-Guided Self-Supervision

Xinwei Ju, Rema Daher, Danail Stoyanov +2

Monocular depth and pose estimation play an important role in the development of colonoscopy-assisted navigation, as they enable improved screening by reducing blind spots, minimiz…

cs.CV2024★ 1 cited

SegCol Challenge: Semantic Segmentation for Tools and Fold Edges in Colonoscopy data

Xinwei Ju, Rema Daher, Razvan Caramalau +7

Improving the reliability and completeness of colonoscopic inspection is critical for reducing missed lesions and improving colorectal cancer prevention. Reliable scene understandi…

cs.CV2024★ 1 cited

Mismatched: Evaluating the Limits of Image Matching Approaches and Benchmarks

Sierra Bonilla, Chiara Di Vece, Rema Daher +4

Three-dimensional (3D) reconstruction from two-dimensional images is an active research field in computer vision, with applications ranging from navigation and object tracking to s…