3 papers
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
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.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…