20 citations · 45 across the 24 of their papers we have counts for
5 papers · 1 filter
Unsupervised Face Recognition using Unlabeled Synthetic Data
Fadi Boutros, Marcel Klemt, Meiling Fang +2
Over the past years, the main research innovations in face recognition focused on training deep neural networks on large-scale identity-labeled datasets using variations of multi-c…
Fairness in Face Presentation Attack Detection
Meiling Fang, Wufei Yang, Arjan Kuijper +2
Face recognition (FR) algorithms have been proven to exhibit discriminatory behaviors against certain demographic and non-demographic groups, raising ethical and legal concerns reg…
Unsupervised Face Morphing Attack Detection via Self-paced Anomaly Detection
Meiling Fang, Fadi Boutros, Naser Damer
The supervised-learning-based morphing attack detection (MAD) solutions achieve outstanding success in dealing with attacks from known morphing techniques and known data sources. H…
Intra and Cross-spectrum Iris Presentation Attack Detection in the NIR and Visible Domains
Meiling Fang, Fadi Boutros, Naser Damer
Iris Presentation Attack Detection (PAD) is essential to secure iris recognition systems. Recent iris PAD solutions achieved good performance by leveraging deep learning techniques…
Privacy-friendly Synthetic Data for the Development of Face Morphing Attack Detectors
Naser Damer, César Augusto Fontanillo López, Meiling Fang +3
The main question this work aims at answering is: "can morphing attack detection (MAD) solutions be successfully developed based on synthetic data?". Towards that, this work introd…