activity
20232026
most citedDDGS-CT: Direction-Disentangled Gaussian Splatting for Realistic Volume Rendering

4 citations · 6 across the 24 of their papers we have counts for

collaborators
Showing cs.CVShow all

24 papers · 1 filter

cs.CV2026

XClipGS: Exact Half-Space Clipping for Medical Volume Gaussian Splatting

Zhongpai Gao, Benjamin Planche, Meng Zheng +4

Gaussian-splatting proxies enable interactive rendering of volumetric medical scans, but a clipping plane exposes anatomy not constrained by external-view training and intersects p…

cs.CV2026

Point Tracking in Surgery--The 2025 Surgical Tattoos in Infrared Challenge (STIRC2025)

Adam Schmidt, Mert Asim Karaoglu, Zijian Wu +32

Point tracking in surgery is crucial to enable applications in downstream tasks such as segmentation, 3D reconstruction, virtual tissue landmarking, autonomous probe-based scanning…

cs.CV2026

Fake It Right: Injecting Anatomical Logic into Synthetic Supervised Pre-training for Medical Segmentation

Jiaqi Tang, Mengyan Zheng, Shu Zhang +2

Vision Transformers (ViTs) excel in 3D medical segmentation but require massive annotated datasets. While Self-Supervised Learning (SSL) mitigates this using unlabeled data, it sti…

cs.CV2025

Consistent Instance Field for Dynamic Scene Understanding

Junyi Wu, Van Nguyen Nguyen, Benjamin Planche +11

We introduce Consistent Instance Field, a continuous and probabilistic spatio-temporal representation for dynamic scene understanding. Unlike prior methods that rely on discrete tr…

cs.CV2025

From Particles to Fields: Reframing Photon Mapping with Continuous Gaussian Photon Fields

Jiachen Tao, Benjamin Planche, Van Nguyen Nguyen +13

Accurately modeling light transport is essential for realistic image synthesis. Photon mapping provides physically grounded estimates of complex global illumination effects such as…

cs.CV2025

MedGRPO: Multi-Task Reinforcement Learning for Heterogeneous Medical Video Understanding

Yuhao Su, Anwesa Choudhuri, Zhongpai Gao +8

Large vision-language models struggle with medical video understanding, where spatial precision, temporal reasoning, and clinical semantics are critical. To address this, we first…