5 papers
Cultivating Forensic Reasoning for Generalizable Multimodal Manipulation Detection
Yuchen Zhang, Yaxiong Wang, Kecheng Han +4
Recent advances in generative AI have significantly enhanced the realism of multimodal media manipulation, thereby posing substantial challenges to manipulation detection. Existing…
Generating Attribution Reports for Manipulated Facial Images: A Dataset and Baseline
Jingchun Lian, Lingyu Liu, Yaxiong Wang +4
Existing facial forgery detection methods typically focus on binary classification or pixel-level localization, providing little semantic insight into the nature of the manipulatio…
The Coherence Trap: When MLLM-Crafted Narratives Exploit Manipulated Visual Contexts
Yuchen Zhang, Yaxiong Wang, Yujiao Wu +3
The detection and grounding of multimedia manipulation has emerged as a critical challenge in combating AI-generated disinformation. While existing methods have made progress in re…
Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline
Haiyang Li, Yaxiong Wang, Shengeng Tang +6
Detecting deceptive multimodal content on social media has become an increasingly important problem. Two major types of deception dominate: human-crafted misinformation (e.g., rumo…
EntityCLIP: Entity-Centric Image-Text Matching via Multimodal Attentive Contrastive Learning
Yaxiong Wang, Yujiao Wu, Lianwei Wu +3
Recent advancements in image-text matching have been notable, yet prevailing models predominantly cater to broad queries and struggle with accommodating fine-grained query intentio…