1 citations · 1 across the 6 of their papers we have counts for
6 papers
Quadruplet Loss For Improving the Robustness to Face Morphing Attacks
Iurii Medvedev, Nuno Gonçalves
Recent advancements in deep learning have revolutionized technology and security measures, necessitating robust identification methods. Biometric approaches, leveraging personalize…
Fused Classification For Differential Face Morphing Detection
Iurii Medvedev, Joana Pimenta, Nuno Gonçalves
Face morphing, a sophisticated presentation attack technique, poses significant security risks to face recognition systems. Traditional methods struggle to detect morphing attacks,…
Impact of Image Context for Single Deep Learning Face Morphing Attack Detection
Joana Pimenta, Iurii Medvedev, Nuno Gonçalves
The increase in security concerns due to technological advancements has led to the popularity of biometric approaches that utilize physiological or behavioral characteristics for e…
EFaR 2023: Efficient Face Recognition Competition
Jan Niklas Kolf, Fadi Boutros, Jurek Elliesen +24
This paper presents the summary of the Efficient Face Recognition Competition (EFaR) held at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition rece…
Young Labeled Faces in the Wild (YLFW): A Dataset for Children Faces Recognition
Iurii Medvedev, Farhad Shadmand, Nuno Gonçalves
Face recognition has achieved outstanding performance in the last decade with the development of deep learning techniques. Nowadays, the challenges in face recognition are related…
MorDeephy: Face Morphing Detection Via Fused Classification
Iurii Medvedev, Farhad Shadmand, Nuno Gonçalves
Face morphing attack detection (MAD) is one of the most challenging tasks in the field of face recognition nowadays. In this work, we introduce a novel deep learning strategy for a…