activity
20242026
collaborators

8 papers

cs.CV2026

Evidence-Guided Detection, Localization and Explanation for Text-Centric Image Forensics

Peifeng Liu, Bin Li, Qingsong Zhang +3

The rapid progress of AIGC has made text-centric image manipulation increasingly accessible, creating new forensic challenges that require not only authenticity detection but also…

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

ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization

Lei Xu, Haowei Wang, Shen Chen +3

Multi-modal Large Language Models (MLLMs) offer powerful reasoning for forensic tasks, yet existing approaches utilizing exogenous segmentation decoders often suffer from suboptima…

cs.CV2026

Deep Residual Injection for Full-Spectrum Forensic Signal Perception in Multimodal Large Language Models

Kaiqing Lin, Zhiyuan Yan, Ruoxin Chen +8

Multimodal large language models (MLLMs) have been increasingly adopted in forensics for their robust semantic understanding. As AI-generated images become realistic, semantic-leve…

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.CV2025

Seeing Before Reasoning: A Unified Framework for Generalizable and Explainable Fake Image Detection

Kaiqing Lin, Zhiyuan Yan, Ruoxin Chen +7

Detecting AI-generated images with multimodal large language models (MLLMs) has gained increasing attention, due to their rich world knowledge, common-sense reasoning, and potentia…

cs.CV2025

Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes

Kaiqing Lin, Zhiyuan Yan, Ke-Yue Zhang +7

Securing personal identity against deepfake attacks is increasingly critical in the digital age, especially for celebrities and political figures whose faces are easily accessible…

cs.CV2024

Standing on the Shoulders of Giants: Reprogramming Visual-Language Model for General Deepfake Detection

Kaiqing Lin, Yuzhen Lin, Weixiang Li +2

The proliferation of deepfake faces poses huge potential negative impacts on our daily lives. Despite substantial advancements in deepfake detection over these years, the generaliz…