2 citations · 5 across the 11 of their papers we have counts for
4 papers · 1 filter
Semi-Supervised learning for Face Anti-Spoofing using Apex frame
Usman Muhammad, Mourad Oussalah, Jorma Laaksonen
Conventional feature extraction techniques in the face anti-spoofing domain either analyze the entire video sequence or focus on a specific segment to improve model performance. Ho…
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…
Domain Generalization via Ensemble Stacking for Face Presentation Attack Detection
Usman Muhammad, Jorma Laaksonen, Djamila Romaissa Beddiar +1
Face Presentation Attack Detection (PAD) plays a pivotal role in securing face recognition systems against spoofing attacks. Although great progress has been made in designing face…