15 papers · 1 filter
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…
ID-Booth: Identity-consistent Face Generation with Diffusion Models
Darian TomaÅ¡eviÄ, 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…
Trade-offs in Cross-Domain Generalization of Foundation Model Fine-Tuned for Biometric Applications
Tahar Chettaoui, Naser Damer, Fadi Boutros
Foundation models such as CLIP have demonstrated exceptional zero- and few-shot transfer capabilities across diverse vision tasks. However, when fine-tuned for highly specialized b…
ViT-FIQA: Assessing Face Image Quality using Vision Transformers
Andrea Atzori, Fadi Boutros, Naser Damer
Face Image Quality Assessment (FIQA) aims to predict the utility of a face image for face recognition (FR) systems. State-of-the-art FIQA methods mainly rely on convolutional neura…
NegFaceDiff: The Power of Negative Context in Identity-Conditioned Diffusion for Synthetic Face Generation
Eduarda Caldeira, Naser Damer, Fadi Boutros
The use of synthetic data as an alternative to authentic datasets in face recognition (FR) development has gained significant attention, addressing privacy, ethical, and practical…
MADPromptS: Unlocking Zero-Shot Morphing Attack Detection with Multiple Prompt Aggregation
Eduarda Caldeira, Fadi Boutros, Naser Damer
Face Morphing Attack Detection (MAD) is a critical challenge in face recognition security, where attackers can fool systems by interpolating the identity information of two or more…