activity
20232026
collaborators

6 papers

cs.CV2026

Vision Language Model Fusion for Explainable Face Recognition

Ana Estrada-Real, Lydia Alapatt, Christoph Busch +1

Responsible deployment of face verification systems requires more than accurate decisions: systems should also provide interpretable and auditable evidence that enables users to un…

cs.CV2026

Image Quality Assessment of Identity Cards Using Measures from Open Face Image Quality

Gregor Grote, Juan E. Tapia, Christian Rathgeb

This paper addresses the challenge of assessing image quality in ID cards in remote verification systems by applying capture-related quality measures from the Open Face Image Quali…

cs.CV2026

Detection of T-shirt Presentation Attacks in Face Recognition Systems

Mathias Ibsen, Loris Tim Ide, Christian Rathgeb +1

Face recognition systems are often used for biometric authentication. Nevertheless, it is known that without any protective measures, face recognition systems are vulnerable to pre…

cs.CV2024

Testing the Performance of Face Recognition for People with Down Syndrome

Christian Rathgeb, Mathias Ibsen, Denise Hartmann +2

The fairness of biometric systems, in particular facial recognition, is often analysed for larger demographic groups, e.g. female vs. male or black vs. white. In contrast to this,…

cs.CV2024

TattTRN: Template Reconstruction Network for Tattoo Retrieval

Lazaro Janier Gonzalez-Soler, Maciej Salwowski, Christian Rathgeb +1

Tattoos have been used effectively as soft biometrics to assist law enforcement in the identification of offenders and victims, as they contain discriminative information, and are…

cs.CV2023

Multi-Channel Cross Modal Detection of Synthetic Face Images

M. Ibsen, C. Rathgeb, S. Marcel +1

Synthetically generated face images have shown to be indistinguishable from real images by humans and as such can lead to a lack of trust in digital content as they can, for instan…