3 papers
cs.CV2026
GazeCLIP: Gaze-Guided CLIP with Adaptive-Enhanced Fine-Grained Language Prompt for Deepfake Attribution and Detection
Yaning Zhang, Linlin Shen, Zitong Yu +2
Current deepfake attribution or deepfake detection works tend to exhibit poor generalization to novel generative methods due to the limited exploration in visual modalities alone.…
cs.CV2024
Distilled Transformers with Locally Enhanced Global Representations for Face Forgery Detection
Yaning Zhang, Qiufu Li, Zitong Yu +1
Face forgery detection (FFD) is devoted to detecting the authenticity of face images. Although current CNN-based works achieve outstanding performance in FFD, they are susceptible…
cs.CV2024
MFCLIP: Multi-modal Fine-grained CLIP for Generalizable Diffusion Face Forgery Detection
Yaning Zhang, Tianyi Wang, Zitong Yu +3
The rapid development of photo-realistic face generation methods has raised significant concerns in society and academia, highlighting the urgent need for robust and generalizable…