activity
20152026
most citedIdentification of Deep Network Generated Images Using Disparities in Color Components

255 citations · 295 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2026

From Sharp Eyes to Expert Mind: Internalizing Expert Knowledge in MLLMs for Tampered Text Detection

Kaiqing Lin, Songze Li, Shen Chen +8

Tampered Text Detection (TTD) is essential for safeguarding document authenticity in security-critical workflows. Existing expert models are effective at capturing subtle manipulat…

cs.SD2026

ThinkOmni: A Reasoning-Driven Omni-Modal LLM Framework for Audio Forgery Detection and Localization

Yuxiong Xu, Kaiqing Lin, Bin Li +2

Existing audio forgery detection and localization (AFDL) methods often overfit dataset-specific low-level artifacts, limiting their generalization to subtle, localized, and unseen…

cs.CV2026

SIGMA: Semantic-Difference Instruction-Grounding Mask Annotator for Text-Driven Image Manipulation Localization

Peiyu Zhuang, Jianquan Yang, Haodong Li +6

Text-driven image editing has advanced rapidly, but reliably localizing these manipulations requires image manipulation localization (IML) models trained on large pixel-annotated d…

cs.CV2026

AgentFoX: LLM Agent-Guided Fusion with eXplainability for AI-Generated Image Detection

Yangxin Yu, Yue Zhou, Bin Li +4

The realism of AI-generated images (AIGI) poses increasing challenges for reliable forensic detection, where heterogeneous expert detectors may produce conflicting predictions acro…

cs.CV2022

ReLoc: A Restoration-Assisted Framework for Robust Image Tampering Localization

Peiyu Zhuang, Haodong Li, Rui Yang +1

With the spread of tampered images, locating the tampered regions in digital images has drawn increasing attention. The existing image tampering localization methods, however, suff…

cs.MM2018★ 255 cited

Identification of Deep Network Generated Images Using Disparities in Color Components

Haodong Li, Bin Li, Shunquan Tan +1

With the powerful deep network architectures, such as generative adversarial networks, one can easily generate photorealistic images. Although the generated images are not dedicate…

cs.MM2017★ 37 cited

Image Processing Operations Identification via Convolutional Neural Network

Bolin Chen, Haodong Li, Weiqi Luo

In recent years, image forensics has attracted more and more attention, and many forensic methods have been proposed for identifying image processing operations. Up to now, most ex…

cs.MM2017★ 2 cited

Anti-Forensics of Camera Identification and the Triangle Test by Improved Fingerprint-Copy Attack

Haodong Li, Weiqi Luo, Quanquan Rao +1

The fingerprint-copy attack aims to confuse camera identification based on sensor pattern noise. However, the triangle test shows that the forged images undergone fingerprint-copy…

cs.MM2015★ 1 cited

Identification of Image Operations Based on Steganalytic Features

Haodong Li, Weiqi Luo, Xiaoqing Qiu +1

Image forensics have attracted wide attention during the past decade. Though many forensic methods have been proposed to identify image forgeries, most of them are targeted ones, s…