16 citations · 19 across the 4 of their papers we have counts for
4 papers
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…
ID-Guard: A Universal Framework for Combating Facial Manipulation via Breaking Identification
Zuomin Qu, Wei Lu, Xiangyang Luo +2
The misuse of deep learning-based facial manipulation poses a serious threat to civil rights. To prevent such fraud at its source, proactive defense methods have been proposed that…
Coarse-to-Fine Proposal Refinement Framework for Audio Temporal Forgery Detection and Localization
Junyan Wu, Wei Lu, Xiangyang Luo +3
Recently, a novel form of audio partial forgery has posed challenges to its forensics, requiring advanced countermeasures to detect subtle forgery manipulations within long-duratio…
Delocate: Detection and Localization for Deepfake Videos with Randomly-Located Tampered Traces
Juan Hu, Xin Liao, Difei Gao +4
Deepfake videos are becoming increasingly realistic, showing few tampering traces on facial areasthat vary between frames. Consequently, existing Deepfake detection methods struggl…