12 citations · 26 across the 8 of their papers we have counts for
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cs.CV2021
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…
cs.CV2021
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…
eess.AS2021★ 3 cited
Improving Pseudo-label Training For End-to-end Speech Recognition Using Gradient Mask
Shaoshi Ling, Chen Shen, Meng Cai +1
In the recent trend of semi-supervised speech recognition, both self-supervised representation learning and pseudo-labeling have shown promising results. In this paper, we propose…