activity
20192026
most citedThe Effect of Wearing a Mask on Face Recognition Performance: an Exploratory Study

33 citations · 50 across the 28 of their papers we have counts for

collaborators

36 papers

cs.CV2026

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…

cs.CV2026

DCMorph: Face Morphing via Dual-Stream Cross-Attention Diffusion

Tahar Chettaoui, Eduarda Caldeira, Guray Ozgur +3

Advancing face morphing attack techniques is crucial to anticipate evolving threats and develop robust defensive mechanisms for identity verification systems. This work introduces…

cs.CV2026

On the Impact of Face Segmentation-Based Background Removal on Recognition and Morphing Attack Detection

Eduarda Caldeira, Guray Ozgur, Fadi Boutros +1

This study investigates the impact of face image background correction through segmentation on face recognition and morphing attack detection performance in realistic, unconstraine…

cs.CV2026

EX-FIQA: Leveraging Intermediate Early eXit Representations from Vision Transformers for Face Image Quality Assessment

Guray Ozgur, Tahar Chettaoui, Eduarda Caldeira +4

Face Image Quality Assessment is crucial for reliable face recognition systems, yet existing Vision Transformer-based approaches rely exclusively on final-layer representations, ig…

cs.CV2026

ATTN-FIQA: Interpretable Attention-based Face Image Quality Assessment with Vision Transformers

Guray Ozgur, Tahar Chettaoui, Eduarda Caldeira +5

Face Image Quality Assessment (FIQA) aims to assess the recognition utility of face samples and is essential for reliable face recognition (FR) systems. Existing approaches require…

cs.GR2026

AdaptDiff: Adaptive Guidance in Diffusion Models for Diverse and Identity-Consistent Face Synthesis (Student Abstract)

Eduarda Caldeira, Tahar Chettaoui, Naser Damer +1

Diffusion models conditioned on identity embeddings enable the generation of synthetic face images that consistently preserve identity across multiple samples. Recent work has show…