collaborators

6 papers

cs.LG2025

The Forgotten Shield: Safety Grafting in Parameter-Space for Medical MLLMs

Jiale Zhao, Xing Mou, Jinlin Wu +7

Medical Multimodal Large Language Models (Medical MLLMs) have achieved remarkable progress in specialized medical tasks; however, research into their safety has lagged, posing pote…

cs.CV2025

SurgVisAgent: Multimodal Agentic Model for Versatile Surgical Visual Enhancement

Zeyu Lei, Hongyuan Yu, Jinlin Wu +1

Precise surgical interventions are vital to patient safety, and advanced enhancement algorithms have been developed to assist surgeons in decision-making. Despite significant progr…

cs.CV2025

M^3:Manipulation Mask Manufacturer for Arbitrary-Scale Super-Resolution Mask

Xinyu Yang, Xiaochen Ma, Xuekang Zhu +5

In the field of image manipulation localization (IML), the small quantity and poor quality of existing datasets have always been major issues. A dataset containing various types of…

cs.CV2024

Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization through Spare-Coding Transformer

Lei Su, Xiaochen Ma, Xuekang Zhu +3

Non-semantic features or semantic-agnostic features, which are irrelevant to image context but sensitive to image manipulations, are recognized as evidential to Image Manipulation…

cs.CV2024

Mesoscopic Insights: Orchestrating Multi-scale & Hybrid Architecture for Image Manipulation Localization

Xuekang Zhu, Xiaochen Ma, Lei Su +7

The mesoscopic level serves as a bridge between the macroscopic and microscopic worlds, addressing gaps overlooked by both. Image manipulation localization (IML), a crucial techniq…

cs.CV2024

IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization

Xiaochen Ma, Xuekang Zhu, Lei Su +8

A comprehensive benchmark is yet to be established in the Image Manipulation Detection & Localization (IMDL) field. The absence of such a benchmark leads to insufficient and mislea…