47 citations · 58 across the 35 of their papers we have counts for
42 papers
Direct Conditional Parameterization for N-Dimensional Splatting
Zhongpai Gao, Benjamin Planche, Van Nguyen Nguyen +5
N-dimensional splatting extends 3D Gaussian Splatting with view direction and time to model view-dependent and dynamic effects. Each primitive is lifted into a joint distribution o…
FactorSplat: Appearance-Controllable Gaussian Proxies for Medical Volume Rendering
Zhongpai Gao, Benjamin Planche, Meng Zheng +3
Transfer functions (TFs) control color and visibility in medical volume rendering, but image-trained Gaussian proxies typically bake one transfer function into their appearance. We…
SCOPE-4D: Endoscopic 4D Geometry Foundation Models
Chaoyi Zhou, Zhongpai Gao, Anwesa Choudhuri +6
Geometric understanding supports endoscopic navigation and robotic assistance, but learning reliable endoscopic geometry faces two challenges: scarce geometric annotations and ambi…
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…
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…
Failing Forward: Adaptive Failure-Informed Learning for Vision-Language-Action Models
Meng Zheng, Samhita Marri, Anwesa Choudhuri +6
Vision-language-action (VLA) models provide a promising paradigm for scalable robotic manipulation, yet their reliance on success-only behavioral cloning leaves them brittle; lacki…
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…
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…
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…
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…
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…
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…
7DGS: Unified Spatial-Temporal-Angular Gaussian Splatting
Zhongpai Gao, Benjamin Planche, Meng Zheng +3
Real-time rendering of dynamic scenes with view-dependent effects remains a fundamental challenge in computer graphics. While recent advances in Gaussian Splatting have shown promi…
Anatomy-Aware Conditional Image-Text Retrieval
Meng Zheng, Jiajin Zhang, Benjamin Planche +3
Image-Text Retrieval (ITR) finds broad applications in healthcare, aiding clinicians and radiologists by automatically retrieving relevant patient cases in the database given the q…
CHROME: Clothed Human Reconstruction with Occlusion-Resilience and Multiview-Consistency from a Single Image
Arindam Dutta, Meng Zheng, Zhongpai Gao +5
Reconstructing clothed humans from a single image is a fundamental task in computer vision with wide-ranging applications. Although existing monocular clothed human reconstruction…
Seq2Time: Sequential Knowledge Transfer for Video LLM Temporal Grounding
Andong Deng, Zhongpai Gao, Anwesa Choudhuri +6
Temporal awareness is essential for video large language models (LLMs) to understand and reason about events within long videos, enabling applications like dense video captioning a…
Neural Finite-State Machines for Surgical Phase Recognition
Hao Ding, Zhongpai Gao, Benjamin Planche +7
Surgical phase recognition (SPR) is crucial for applications in workflow optimization, performance evaluation, and real-time intervention guidance. However, current deep learning m…
DaRePlane: Direction-aware Representations for Dynamic Scene Reconstruction
Ange Lou, Benjamin Planche, Zhongpai Gao +7
Numerous recent approaches to modeling and re-rendering dynamic scenes leverage plane-based explicit representations, addressing slow training times associated with models like neu…
Order-aware Interactive Segmentation
Bin Wang, Anwesa Choudhuri, Meng Zheng +7
Interactive segmentation aims to accurately segment target objects with minimal user interactions. However, current methods often fail to accurately separate target objects from th…
3D Vision-Language Gaussian Splatting
Qucheng Peng, Benjamin Planche, Zhongpai Gao +5
Recent advancements in 3D reconstruction methods and vision-language models have propelled the development of multi-modal 3D scene understanding, which has vital applications in ro…
6DGS: Enhanced Direction-Aware Gaussian Splatting for Volumetric Rendering
Zhongpai Gao, Benjamin Planche, Meng Zheng +3
Novel view synthesis has advanced significantly with the development of neural radiance fields (NeRF) and 3D Gaussian splatting (3DGS). However, achieving high quality without comp…
Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion
Meng Zheng, Benjamin Planche, Zhongpai Gao +3
Conventional 3D medical image segmentation methods typically require learning heavy 3D networks (e.g., 3D-UNet), as well as large amounts of in-domain data with accurate pixel/voxe…
Divide and Fuse: Body Part Mesh Recovery from Partially Visible Human Images
Tianyu Luan, Zhongpai Gao, Luyuan Xie +8
We introduce a novel bottom-up approach for human body mesh reconstruction, specifically designed to address the challenges posed by partial visibility and occlusion in input image…
Automated Patient Positioning with Learned 3D Hand Gestures
Zhongpai Gao, Abhishek Sharma, Meng Zheng +3
Positioning patients for scanning and interventional procedures is a critical task that requires high precision and accuracy. The conventional workflow involves manually adjusting…