activity
20162026
most citedLearning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis

130 citations · 344 across the 57 of their papers we have counts for

collaborators

66 papers

cs.CV2026

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…

cs.CV2026

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…

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

In defense of the two-stage framework for open-set domain adaptive semantic segmentation

Wenqi Ren, Weijie Wang, Meng Zheng +4

Open-Set Domain Adaptation for Semantic Segmentation (OSDA-SS) presents a significant challenge, as it requires both domain adaptation for known classes and the distinction of unkn…

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

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…

eess.IV2024

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024★ 4 cited

DDGS-CT: Direction-Disentangled Gaussian Splatting for Realistic Volume Rendering

Zhongpai Gao, Benjamin Planche, Meng Zheng +3

Digitally reconstructed radiographs (DRRs) are simulated 2D X-ray images generated from 3D CT volumes, widely used in preoperative settings but limited in intraoperative applicatio…

cs.CV2024

Self-learning Canonical Space for Multi-view 3D Human Pose Estimation

Xiaoben Li, Mancheng Meng, Ziyan Wu +3

Multi-view 3D human pose estimation is naturally superior to single view one, benefiting from more comprehensive information provided by images of multiple views. The information i…