Face Recognition

Benchmarking Multimodal Large Language Models for Face Recognition

Multimodal large language models (MLLMs) have achieved remarkable performance across diverse vision-and-language tasks. However, their potential in face recognition remains …

ArtFace: Towards Historical Portrait Face Identification via Model Adaptation

We investigate foundation models for recognizing sitters in historical portraits. By fine-tuning CLIP and adapting a face recognition network, then fusing their embeddings, the …

Review of Demographic Fairness in Face Recognition

This review consolidates research on demographic fairness in face recognition, covering causes, datasets, evaluation metrics, mitigation approaches, and open challenges for …

AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognition

The increasing reliance on large-scale datasets in machine learning poses significant privacy and ethical challenges, particularly in sensitive domains such as face recognition. …

ROSALIND

Robust anti-fraud algorithms against malicious AI-generated face images and travel documents.

Vulnerability of State-of-the-Art Face Recognition Models to Template Inversion Attack

Template Inversion Attack Using Synthetic Face Images Against Real Face Recognition Systems

PopEye

Privacy-preserving biometric technologies for passenger identification and verification at EU external borders.

Knowledge Distillation for Face Recognition using Synthetic Data with Dynamic Latent Sampling

From Modalities to Styles: Rethinking the Domain Gap in Heterogeneous Face Recognition