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Weisong Zhao

2 accepted papers

2026

DiffusionFF: A Diffusion-based Framework for Joint Face Forgery Detection and Fine-Grained Artifact Localization

CVPR 2026

The rapid evolution of deepfake technologies demands robust and reliable face forgery detection algorithms. While determining whether an image has been manipulated remains essential, the ability to precisely localize forgery clues is also important for enhancing model explainability and building use

Cited by 0SourceScholar
2023

Grouped Knowledge Distillation for Deep Face Recognition

AAAI 2023technical

Compared with the feature-based distillation methods, logits distillation can liberalize the requirements of consistent feature dimension between teacher and student networks, while the performance is deemed inferior in face recognition. One major challenge is that the light-weight student network h…

Cited by 11SourcePDFScholar