most citedIdentity-driven Three-Player Generative Adversarial Network for Synthetic-based Face Recognition

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2024

GraFIQs: Face Image Quality Assessment Using Gradient Magnitudes

Jan Niklas Kolf, Naser Damer, Fadi Boutros

Face Image Quality Assessment (FIQA) estimates the utility of face images for automated face recognition (FR) systems. We propose in this work a novel approach to assess the qualit…

cs.CV20231 cited

Liveness Detection Competition -- Noncontact-based Fingerprint Algorithms and Systems (LivDet-2023 Noncontact Fingerprint)

Sandip Purnapatra, Humaira Rezaie, Bhavin Jawade +19

Liveness Detection (LivDet) is an international competition series open to academia and industry with the objec-tive to assess and report state-of-the-art in Presentation Attack De…

cs.CV2023

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…

cs.CV20231 cited

Identity-driven Three-Player Generative Adversarial Network for Synthetic-based Face Recognition

Jan Niklas Kolf, Tim Rieber, Jurek Elliesen +3

Many of the commonly used datasets for face recognition development are collected from the internet without proper user consent. Due to the increasing focus on privacy in the socia…

cs.CV2023

MorDIFF: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Diffusion Autoencoders

Naser Damer, Meiling Fang, Patrick Siebke +3

Investigating new methods of creating face morphing attacks is essential to foresee novel attacks and help mitigate them. Creating morphing attacks is commonly either performed on…