684 citations · 1.2k across the 33 of their papers we have counts for
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DomainForensics: Exposing Face Forgery across Domains via Bi-directional Adaptation
Qingxuan Lv, Yuezun Li, Junyu Dong +4
Recent DeepFake detection methods have shown excellent performance on public datasets but are significantly degraded on new forgeries. Solving this problem is important, as new for…
COMICS: End-to-end Bi-grained Contrastive Learning for Multi-face Forgery Detection
Cong Zhang, Honggang Qi, Shuhui Wang +2
DeepFakes have raised serious societal concerns, leading to a great surge in detection-based forensics methods in recent years. Face forgery recognition is a standard detection met…
ForensicsForest Family: A Series of Multi-scale Hierarchical Cascade Forests for Detecting GAN-generated Faces
Jiucui Lu, Jiaran Zhou, Junyu Dong +3
The prominent progress in generative models has significantly improved the reality of generated faces, bringing serious concerns to society. Since recent GAN-generated faces are in…
FakeTracer: Catching Face-swap DeepFakes via Implanting Traces in Training
Pu Sun, Honggang Qi, Yuezun Li +1
Face-swap DeepFake is an emerging AI-based face forgery technique that can replace the original face in a video with a generated face of the target identity while retaining consist…