44 citations · 63 across the 13 of their papers we have counts for
13 papers
Discriminative Deep Feature Visualization for Explainable Face Recognition
Zewei Xu, Yuhang Lu, Touradj Ebrahimi
Despite the huge success of deep convolutional neural networks in face recognition (FR) tasks, current methods lack explainability for their predictions because of their "black-box…
Towards Visual Saliency Explanations of Face Verification
Yuhang Lu, Zewei Xu, Touradj Ebrahimi
In the past years, deep convolutional neural networks have been pushing the frontier of face recognition (FR) techniques in both verification and identification scenarios. Despite…
Assessment Framework for Deepfake Detection in Real-world Situations
Yuhang Lu, Touradj Ebrahimi
Detecting digital face manipulation in images and video has attracted extensive attention due to the potential risk to public trust. To counteract the malicious usage of such techn…
Explanation of Face Recognition via Saliency Maps
Yuhang Lu, Touradj Ebrahimi
Despite the significant progress in face recognition in the past years, they are often treated as "black boxes" and have been criticized for lacking explainability. It becomes incr…
Impact of Video Processing Operations in Deepfake Detection
Yuhang Lu, Touradj Ebrahimi
The detection of digital face manipulation in video has attracted extensive attention due to the increased risk to public trust. To counteract the malicious usage of such technique…
Cross-resolution Face Recognition via Identity-Preserving Network and Knowledge Distillation
Yuhang Lu, Touradj Ebrahimi
Cross-resolution face recognition has become a challenging problem for modern deep face recognition systems. It aims at matching a low-resolution probe image with high-resolution g…