:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Fang, Zheng, Niu, Ziwei, Wang, Ziyue, Zhuo, Zhu, Liu, Haofeng, Qian, Shuyang, Xia, Jun, Jin, Yueming
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2603.09496
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking
by: Liu, Haofeng, et al.
Published: (2025)

SurgRAW: Multi-Agent Workflow with Chain of Thought Reasoning for Robotic Surgical Video Analysis
by: Low, Chang Han, et al.
Published: (2025)

UniSurgSAM: A Unified Promptable Model for Reliable Surgical Video Segmentation
by: Liu, Haofeng, et al.
Published: (2026)

Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning
by: Liu, Haofeng, et al.
Published: (2024)

SAM2S: Segment Anything in Surgical Videos via Semantic Long-term Tracking
by: Liu, Haofeng, et al.
Published: (2025)

Spatio-Temporal Representation Decoupling and Enhancement for Federated Instrument Segmentation in Surgical Videos
by: Fang, Zheng, et al.
Published: (2025)

SurgVLM: A Large Vision-Language Model and Systematic Evaluation Benchmark for Surgical Intelligence
by: Zeng, Zhitao, et al.
Published: (2025)

SurGo-R1: Benchmarking and Modeling Contextual Reasoning for Operative Zone in Surgical Video
by: Qin, Guanyi, et al.
Published: (2026)

SurgVidLM: Towards Multi-grained Surgical Video Understanding with Large Language Model
by: Wang, Guankun, et al.
Published: (2025)

SurfSurg6D: Geometry Consistent Dense Correspondence for Textureless Surgical Instrument Pose Estimation
by: Shen, Daiyun, et al.
Published: (2026)

Structure Matters: Revisiting Boundary Refinement in Video Object Segmentation
by: Qin, Guanyi, et al.
Published: (2025)

Federated Learning for Surgical Vision in Appendicitis Classification: Results of the FedSurg EndoVis 2024 Challenge
by: Kirchner, Max, et al.
Published: (2025)

SurgMotion: A Video-Native Foundation Model for Universal Understanding of Surgical Videos
by: Wu, Jinlin, et al.
Published: (2026)

Surg$Σ$: A Spectrum of Large-Scale Multimodal Data and Foundation Models for Surgical Intelligence
by: Zeng, Zhitao, et al.
Published: (2026)

Surgical Visual Understanding (SurgVU) Dataset
by: Zia, Aneeq, et al.
Published: (2025)

FedVLMBench: Benchmarking Federated Fine-Tuning of Vision-Language Models
by: Zheng, Weiying, et al.
Published: (2025)

SurgViVQA: Temporally-Grounded Video Question Answering for Surgical Scene Understanding
by: Drago, Mauro Orazio, et al.
Published: (2025)

SurgPub-Video: A Comprehensive Surgical Video Dataset for Enhanced Surgical Intelligence in Vision-Language Model
by: Li, Yaoqian, et al.
Published: (2025)

Surg-R1: A Hierarchical Reasoning Foundation Model for Scalable and Interpretable Surgical Decision Support with Multi-Center Clinical Validation
by: Jiang, Jian, et al.
Published: (2026)

SurgTEMP: Temporal-Aware Surgical Video Question Answering with Text-guided Visual Memory for Laparoscopic Cholecystectomy
by: Li, Shi, et al.
Published: (2026)

3DMedAgent: Unified Perception-to-Understanding for 3D Medical Analysis
by: Wang, Ziyue, et al.
Published: (2026)

SurgGoal: Rethinking Surgical Planning Evaluation via Goal-Satisfiability
by: Li, Ruochen, et al.
Published: (2026)

SurgMLLMBench: A Multimodal Large Language Model Benchmark Dataset for Surgical Scene Understanding
by: Choi, Tae-Min, et al.
Published: (2025)

Free-DyGS: Camera-Pose-Free Scene Reconstruction for Dynamic Surgical Videos with Gaussian Splatting
by: Li, Qian, et al.
Published: (2024)

SurgLLM: A Versatile Large Multimodal Model with Spatial Focus and Temporal Awareness for Surgical Video Understanding
by: Chen, Zhen, et al.
Published: (2025)

HieraSurg: Hierarchy-Aware Diffusion Model for Surgical Video Generation
by: Biagini, Diego, et al.
Published: (2025)

SurgLQA: Scalable Long-Horizon Surgical Video Question Answering
by: Guo, Diandian, et al.
Published: (2026)

SurgOnAir: Hierarchy-Aware Real-Time Surgical Video Commentary
by: He, Jingyi, et al.
Published: (2026)

FedBRB: An Effective Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learning
by: Xu, Ziyue, et al.
Published: (2024)

SurgPETL: Parameter-Efficient Image-to-Surgical-Video Transfer Learning for Surgical Phase Recognition
by: Yang, Shu, et al.
Published: (2024)

LLaVA-Surg: Towards Multimodal Surgical Assistant via Structured Surgical Video Learning
by: Li, Jiajie, et al.
Published: (2024)

FedCVU: Federated Learning for Cross-View Video Understanding
by: Zhang, Shenghan, et al.
Published: (2026)

GroundedSurg: A Multi-Procedure Benchmark for Language-Conditioned Surgical Tool Segmentation
by: Ashraf, Tajamul, et al.
Published: (2026)

Think Step by Step: Chain-of-Gesture Prompting for Error Detection in Robotic Surgical Videos
by: Shao, Zhimin, et al.
Published: (2024)

SurgBench: A Unified Large-Scale Benchmark for Surgical Video Analysis
by: Wei, Jianhui, et al.
Published: (2025)

SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition
by: Li, Yiping, et al.
Published: (2025)

SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation
by: Chen, Tong, et al.
Published: (2024)

Intuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025
by: Zia, Aneeq, et al.
Published: (2023)

Language-guided Image Reflection Separation
by: Zhong, Haofeng, et al.
Published: (2024)

Multi-Task Semantic Communications via Large Models
by: Ni, Wanli, et al.
Published: (2025)