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Fadi Boutros

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Preprint Aug 2026

Tomatoes, Potatoes, and Onions: Questioning the Need for Faces in Face Presentation Attack Detection

Face presentation attack detection (PAD) is traditionally formulated as a face-specific problem, although many of the visual artifacts introduced by print, replay, and recapture processes are not inherently tied to facial appearance. In this work, we investigate whether transferable PAD representations can be learned w...

Guray Ozgur, Fadi Boutros, N. Damer · 0 citations
#machine learning Open access Sep 2026

Learning Steadily: Accumulating Relative Point Margin Scores for Face Image Quality Assessment

CARPM-FIQA is introduced, a stabilization strategy for FR-integrated FIQA that accumulates relative point margin measurements, the ratio between intra-class compactness and inter-class separation, across the entire training trajectory rather than relying on single-epoch estimates.

Guray Ozgur, Tahar Chettaoui, Eduarda Caldeira et al. · 0 citations
Preprint Aug 2026

EXPL-FR: Explaining Face Recognition Models via Vision-Language Alignment

This work covers four FR backbones and two VLM encoders, EXPL-FR needs no architecture access, and supports identity-level, per-image, and differential explanations, and benchmark attribute-level auditing under three supervision settings, human labels, VLM pseudo-labels, and the authors' fully prompt-driven audit, agai...

Guray Ozgur, Mustafa Efe Tamyapar, N. Damer et al. · 0 citations

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