activity
20172026
most cited3D Object Instance Recognition and Pose Estimation Using Triplet Loss with Dynamic Margin

47 citations · 58 across the 35 of their papers we have counts for

collaborators
Showing 2025Show all

9 papers · 1 filter

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…

cs.GR2025

Universal Beta Splatting

Rong Liu, Zhongpai Gao, Benjamin Planche +8

We introduce Universal Beta Splatting (UBS), a unified framework that generalizes 3D Gaussian Splatting to N-dimensional anisotropic Beta kernels for explicit radiance field render…

cs.CV2025

Render-FM: Feedforward Model for Real-time Photorealistic Volumetric Rendering

Zhongpai Gao, Benjamin Planche, Meng Zheng +4

Photorealistic volumetric rendering of CT scans greatly benefits clinical workflows, yet neural approaches such as Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) re…

cs.CV2025★ 1 cited

PolypSegTrack: Unified Foundation Model for Colonoscopy Video Analysis

Anwesa Choudhuri, Zhongpai Gao, Meng Zheng +3

Early detection, accurate segmentation, classification and tracking of polyps during colonoscopy are critical for preventing colorectal cancer. Many existing deep-learning-based me…