activity
20242026
collaborators

20 papers

cs.CV2026

ReCowGnition: A Realistic Biometric Benchmark for Cow Face Recognition

Marco Huber, Marco Kiesewalter, Judith Louise Pieper +2

With the development of precision livestock farming and the advances in computer vision, visual animal biometrics has gained attention. Using biometric technologies that have been…

cs.CV2026

The Third Competition on Document Forgery Detection on ID-Cards and Passports

Juan E. Tapia, Mario Nieto, Juan M. Espin +4

This paper presents a comprehensive analysis of the results from the Third International Competition on Document Forgery Detection on ID-Cards and Passports, which was held across…

cs.CV2026

BLENDER: Blended Text Embeddings and Diffusion Residuals for Intra-Class Image Synthesis in Deep Metric Learning

Jan Niklas Kolf, Ozan Tezcan, Justin Theiss +7

The rise of Deep Generative Models (DGM) has enabled the generation of high-quality synthetic data. When used to augment authentic data in Deep Metric Learning (DML), these synthet…

cs.CV2026

ViTNT-FIQA: Training-Free Face Image Quality Assessment with Vision Transformers

Guray Ozgur, Eduarda Caldeira, Tahar Chettaoui +4

Face Image Quality Assessment (FIQA) is essential for reliable face recognition systems. Current approaches primarily exploit only final-layer representations, while training-free…

cs.CV2025

Mitigating Bias with Words: Inducing Demographic Ambiguity in Face Recognition Templates by Text Encoding

Tahar Chettaoui, Naser Damer, Fadi Boutros

Face recognition (FR) systems are often prone to demographic biases, partially due to the entanglement of demographic-specific information with identity-relevant features in facial…

cs.CV2025

ID-Booth: Identity-consistent Face Generation with Diffusion Models

Darian Tomašević, Fadi Boutros, Chenhao Lin +3

Recent advances in generative modeling have enabled the generation of high-quality synthetic data that is applicable in a variety of domains, including face recognition. Here, stat…