4 papers
A Survey on Drowsiness Detection -- Modern Applications and Methods
Biying Fu, Fadi Boutros, Chin-Teng Lin +1
Drowsiness detection holds paramount importance in ensuring safety in workplaces or behind the wheel, enhancing productivity, and healthcare across diverse domains. Therefore accur…
Towards Explaining Demographic Bias through the Eyes of Face Recognition Models
Biying Fu, Naser Damer
Biases inherent in both data and algorithms make the fairness of widespread machine learning (ML)-based decision-making systems less than optimal. To improve the trustfulness of su…
Face Morphing Attacks and Face Image Quality: The Effect of Morphing and the Unsupervised Attack Detection by Quality
Biying Fu, Naser Damer
Morphing attacks are a form of presentation attacks that gathered increasing attention in recent years. A morphed image can be successfully verified to multiple identities. This op…
Explainability of the Implications of Supervised and Unsupervised Face Image Quality Estimations Through Activation Map Variation Analyses in Face Recognition Models
Biying Fu, Naser Damer
It is challenging to derive explainability for unsupervised or statistical-based face image quality assessment (FIQA) methods. In this work, we propose a novel set of explainabilit…