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20242026
most citedMesoscopic Insights: Orchestrating Multi-scale & Hybrid Architecture for Image Manipulation Localization

2 citations · 5 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2026

TextShield-R1: Reinforced Reasoning for Tampered Text Detection

Chenfan Qu, Yiwu Zhong, Jian Liu +3

The growing prevalence of tampered images poses serious security threats, highlighting the urgent need for reliable detection methods. Multimodal large language models (MLLMs) demo…

cs.CV2026

Can We Build a Monolithic Model for Fake Image Detection? SICA: Semantic-Induced Constrained Adaptation for Unified-Yet-Discriminative Artifact Feature Space Reconstruction

Bo Du, Xiaochen Ma, Xuekang Zhu +8

Fake Image Detection (FID), aiming at unified detection across four image forensic subdomains, is critical in real-world forensic scenarios. Compared with ensemble approaches, mono…

cs.CV2025

Revisiting Image Manipulation Localization under Realistic Manipulation Scenarios

Xuekang Zhu, Ji-Zhe Zhou, Kaiwen Feng +5

With the large models easing the labor-intensive manipulation process, image manipulations in today's real scenarios often entail a complex manipulation process, comprising a serie…

cs.CV2025★ 1 cited

ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization

Bo Du, Xuekang Zhu, Xiaochen Ma +6

The field of Fake Image Detection and Localization (FIDL) is highly fragmented, encompassing four domains: deepfake detection (Deepfake), image manipulation detection and localizat…

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★ 2 cited

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…