1 citations · 2 across the 3 of their papers we have counts for
4 papers
Saliency-based Video Summarization for Face Anti-spoofing
Usman Muhammad, Mourad Oussalah, Jorma Laaksonen
With the growing availability of databases for face presentation attack detection, researchers are increasingly focusing on video-based face anti-spoofing methods that involve hund…
Deep Ensemble Learning with Frame Skipping for Face Anti-Spoofing
Usman Muhammad, Md Ziaul Hoque, Mourad Oussalah +1
Face presentation attacks (PA), also known as spoofing attacks, pose a substantial threat to biometric systems that rely on facial recognition systems, such as access control syste…
Face Anti-Spoofing from the Perspective of Data Sampling
Usman Muhammad, Mourad Oussalah
Without deploying face anti-spoofing countermeasures, face recognition systems can be spoofed by presenting a printed photo, a video, or a silicon mask of a genuine user. Thus, fac…
Self-Supervised Face Presentation Attack Detection with Dynamic Grayscale Snippets
Usman Muhammad, Mourad Oussalah
Face presentation attack detection (PAD) plays an important role in defending face recognition systems against presentation attacks. The success of PAD largely relies on supervised…