activity
20232026
most citedSurgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning

7 citations · 24 across the 16 of their papers we have counts for

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Showing 2025Show all

8 papers · 1 filter

cs.CV2025

SurgSLOT: Segment Anything in Surgical Videos via Semantic Long-term Tracking

Haofeng Liu, Ziyue Wang, Sudhanshu Mishra +8

Surgical scene understanding demands temporally consistent tracking of instruments and tissues. For clinical use, such tracking should generalize to new centers and procedure types…

cs.CV2025

MediRound: Multi-Round Entity-Level Reasoning Segmentation in Medical Images

Qinyue Tong, Ziqian Lu, Jun Liu +3

Despite notable progress in text-guided medical image segmentation nowadays, these methods are limited to single-round dialogues and fail to support multi-round reasoning, which is…

cs.SE2025

Git Context Controller: Manage the Context of LLM-based Agents like Git

Junde Wu, Minhao Hu, Jiayuan Zhu +4

Large language model (LLM) agents have demonstrated strong capabilities in long-horizon tasks by interleaving reasoning with tool use. However, as these agents scale to complex wor…

cs.CV2025

Structure Matters: Revisiting Boundary Refinement in Video Object Segmentation

Guanyi Qin, Ziyue Wang, Daiyun Shen +5

Given an object mask, Semi-supervised Video Object Segmentation (SVOS) technique aims to track and segment the object across video frames, serving as a fundamental task in computer…

cs.CV2025★ 2 cited

SurgVLM: A Large Vision-Language Model and Systematic Evaluation Benchmark for Surgical Intelligence

Zhitao Zeng, Zhu Zhuo, Xiaojun Jia +12

Foundation models have achieved transformative success across biomedical domains by enabling holistic understanding of multimodal data. However, their application in surgery remain…

cs.CV2025

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking

Haofeng Liu, Mingqi Gao, Xuxiao Luo +4

Surgical scene segmentation is critical in computer-assisted surgery and is vital for enhancing surgical quality and patient outcomes. Recently, referring surgical segmentation is…

cs.AI2025★ 4 cited

MedAgent-Pro: Towards Evidence-based Multi-modal Medical Diagnosis via Reasoning Agentic Workflow

Ziyue Wang, Junde Wu, Linghan Cai +4

In modern medicine, clinical diagnosis relies on the comprehensive analysis of primarily textual and visual data, drawing on medical expertise to ensure systematic and rigorous rea…

cs.AI2025★ 7 cited

Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools

Junde Wu, Jiayuan Zhu, Yuyuan Liu +2

We introduce Agentic Reasoning, a framework that enhances large language model (LLM) reasoning by integrating external tool-using agents. Agentic Reasoning dynamically leverages we…