2 citations · 3 across the 6 of their papers we have counts for
6 papers
Towards A Comprehensive Visual Saliency Explanation Framework for AI-based Face Recognition Systems
Yuhang Lu, Zewei Xu, Touradj Ebrahimi
Over recent years, deep convolutional neural networks have significantly advanced the field of face recognition techniques for both verification and identification purposes. Despit…
Explainable Face Verification via Feature-Guided Gradient Backpropagation
Yuhang Lu, Zewei Xu, Touradj Ebrahimi
Recent years have witnessed significant advancement in face recognition (FR) techniques, with their applications widely spread in people's lives and security-sensitive areas. There…
Towards the Detection of AI-Synthesized Human Face Images
Yuhang Lu, Touradj Ebrahimi
Over the past years, image generation and manipulation have achieved remarkable progress due to the rapid development of generative AI based on deep learning. Recent studies have d…
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…