3 citations · 3 across the 2 of their papers we have counts for
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cs.CV2025
MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM
Tao Chen, Jingyi Zhang, Decheng Liu +1
Recent studies have utilized visual large language models (VLMs) to answer not only "Is this face a forgery?" but also "Why is the face a forgery?" These studies introduced forgery…
cs.CV2024
Learning Expressive And Generalizable Motion Features For Face Forgery Detection
Jingyi Zhang, Peng Zhang, Jingjing Wang +2
Previous face forgery detection methods mainly focus on appearance features, which may be easily attacked by sophisticated manipulation. Considering the majority of current face ma…
cs.CV2021★ 3 cited
Self-Domain Adaptation for Face Anti-Spoofing
Jingjing Wang, Jingyi Zhang, Ying Bian +3
Although current face anti-spoofing methods achieve promising results under intra-dataset testing, they suffer from poor generalization to unseen attacks. Most existing works adopt…