10 papers
IJCB-AFMFR 2026: Competition on Adapting Foundation Models for Face Recognition Using Synthetic Training Data
Tahar Chettaoui, Guray Ozgur, Eduarda Caldeira +13
This paper presents a summary of the Competition on Adapting Foundation Models for Face Recognition Using Synthetic Training Data (AFMFR), held at the 2026 International Joint Conf…
Beyond Error-vs-Discard Characteristic: Toward Stable and Reliable Evaluation for Face Image Quality Assessment
Bhavesh Wani, Žiga Babnik, Vitomir Štruc +1
Face Image Quality Assessment (FIQA) aims to estimate the utility of facial images for reliable recognition. The evaluation of FIQA methods is predominantly based on the Error-vers…
PIU: Proximity-guided Identity Unlearning in ID-Conditioned Diffusion Models
Jose Edgar Hernandez Cancino Estrada, Mauro DÃaz Lupone, Žiga EmerÅ¡iÄ +3
Identity-conditioned diffusion models enable high-quality and identity-consistent face generation, but they also raise severe privacy concerns, as models may continue to synthesize…
Employing Vision-Language Models for Face Image Quality Assessment
Erdi SarıtaÅ, Eren Onaran, Vitomir Å truc +1
Face Image Quality Assessment (FIQA) is a crucial control step in biometric pipelines. It ensures only reliable samples are processed to maintain system accuracy. State-of-the-art…
PreFIQs: Face Image Quality Is What Survives Pruning
Jan Niklas Kolf, Guray Ozgur, Andrea Atzori +4
Face Image Quality Assessment (FIQA) evaluates the utility of a face image for automated face recognition (FR) systems. In this work, we propose PreFIQs, an unsupervised and traini…
FunFace: Feature Utility and Norm Estimation for Face Recognition
Žiga Babnik, Fadi Boutros, Naser Damer +3
Face Recognition (FR) is used in a variety of application domains, from entertainment and banking to security and surveillance. Such applications rely on the FR model to be robust…