45 citations · 71 across the 14 of their papers we have counts for
4 papers · 1 filter
Exploiting Fine-grained Face Forgery Clues via Progressive Enhancement Learning
Qiqi Gu, Shen Chen, Taiping Yao +3
With the rapid development of facial forgery techniques, forgery detection has attracted more and more attention due to security concerns. Existing approaches attempt to use freque…
Dual Contrastive Learning for General Face Forgery Detection
Ke Sun, Taiping Yao, Shen Chen +3
With various facial manipulation techniques arising, face forgery detection has drawn growing attention due to security concerns. Previous works always formulate face forgery detec…
Local Relation Learning for Face Forgery Detection
Shen Chen, Taiping Yao, Yang Chen +3
With the rapid development of facial manipulation techniques, face forgery detection has received considerable attention in digital media forensics due to security concerns. Most e…
DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results
Liming Jiang, Zhengkui Guo, Wayne Wu +18
This paper reports methods and results in the DeeperForensics Challenge 2020 on real-world face forgery detection. The challenge employs the DeeperForensics-1.0 dataset, one of the…