2 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
HumanForge: A Human-Centric Deepfake Video Benchmark with Multi-Agent Forgery Rationales
Wenbo Xu, Zhimin Chen, Xiaojie Liang +3
Rapid advancements in video diffusion models and temporal editing tools have enabled the generation of highly realistic human-centric videos, presenting unprecedented challenges to…
MARE: Multimodal Alignment and Reinforcement for Explainable Deepfake Detection via Vision-Language Models
Wenbo Xu, Wei Lu, Xiangyang Luo +1
Deepfake detection is a widely researched topic that is crucial for combating the spread of malicious content, with existing methods mainly modeling the problem as classification o…
Weakly Supervised Multimodal Temporal Forgery Localization via Multitask Learning
Wenbo Xu, Wei Lu, Xiangyang Luo
The spread of Deepfake videos has caused a trust crisis and impaired social stability. Although numerous approaches have been proposed to address the challenges of Deepfake detecti…
A Multimodal Deviation Perceiving Framework for Weakly-Supervised Temporal Forgery Localization
Wenbo Xu, Junyan Wu, Wei Lu +2
Current researches on Deepfake forensics often treat detection as a classification task or temporal forgery localization problem, which are usually restrictive, time-consuming, and…