6 citations · 7 across the 5 of their papers we have counts for
4 papers · 1 filter
Seeing Through Deepfakes: A Human-Inspired Framework for Multi-Face Detection
Juan Hu, Shaojing Fan, Terence Sim
Multi-face deepfake videos are becoming increasingly prevalent, often appearing in natural social settings that challenge existing detection methods. Most current approaches excel…
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…
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…
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…