33 citations · 90 across the 21 of their papers we have counts for
36 papers · 1 filter
Frequency Matters: Explaining Biases of Face Recognition in the Frequency Domain
Marco Huber, Fadi Boutros, Naser Damer
Face recognition (FR) models are vulnerable to performance variations across demographic groups. The causes for these performance differences are unclear due to the highly complex…
MADation: Face Morphing Attack Detection with Foundation Models
Eduarda Caldeira, Guray Ozgur, Tahar Chettaoui +5
Despite the considerable performance improvements of face recognition algorithms in recent years, the same scientific advances responsible for this progress can also be used to cre…
FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection
Guray Ozgur, Eduarda Caldeira, Tahar Chettaoui +3
Although face recognition systems have seen a massive performance enhancement in recent years, they are still targeted by threats such as presentation attacks, leading to the need…
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…
A Survey on Computer Vision based Human Analysis in the COVID-19 Era
Fevziye Irem Eyiokur, Alperen Kantarcı, Mustafa Ekrem Erakın +8
The emergence of COVID-19 has had a global and profound impact, not only on society as a whole, but also on the lives of individuals. Various prevention measures were introduced ar…
Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition
Marco Huber, Philipp Terhörst, Florian Kirchbuchner +2
Face Recognition (FR) is increasingly used in critical verification decisions and thus, there is a need for assessing the trustworthiness of such decisions. The confidence of a dec…