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20242026
most citedEntityCLIP: Entity-Centric Image-Text Matching via Multimodal Attentive Contrastive Learning

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

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…

cs.AI2025

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…

cs.CV2025

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…

cs.CV2024

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…

cs.CV2024★ 1 cited

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…