6 citations · 7 across the 5 of their papers we have counts for
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cs.CV2024★ 1 cited
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…
cs.CV2023
Recap: Detecting Deepfake Video with Unpredictable Tampered Traces via Recovering Faces and Mapping Recovered Faces
Juan Hu, Xin Liao, Difei Gao +4
The exploitation of Deepfake techniques for malicious intentions has driven significant research interest in Deepfake detection. Deepfake manipulations frequently introduce random…
cs.CV2023★ 6 cited
Mover: Mask and Recovery based Facial Part Consistency Aware Method for Deepfake Video Detection
Juan Hu, Xin Liao, Difei Gao +4
Deepfake techniques have been widely used for malicious purposes, prompting extensive research interest in developing Deepfake detection methods. Deepfake manipulations typically i…