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 …

hatef-otroshi-shahreza

Benchmarking Multimodal Large Language Models for Face Recognition

Multimodal Large Language Models (MLLMs) have recently been explored as face verification systems that determine whether two face images are of the same person. Unlike dedicated …

unsal-ozturk

The Invisible Threat: Evaluating the Vulnerability of Cross-Spectral Face Recognition to Presentation Attacks

Cross-spectral face recognition systems are designed to enhance the performance of facial recognition systems by enabling cross-modal matching under challenging operational …

anjith-george

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 …

ketan-kotwal

Synthetic Face Datasets Generation via Latent Space Exploration from Brownian Identity Diffusion

Face Recognition (FR) models are trained on large-scale datasets, which have privacy and ethical concerns. Lately, the use of synthetic data to complement or replace genuine data …

david-geissbuhler

HyperFace: Generating Synthetic Face Recognition Datasets by Exploring Face Embedding Hypersphere

Face recognition datasets are often collected by crawling Internet and without individuals' consents, raising ethical and privacy concerns. Generating synthetic datasets for …

hatef-otroshi-shahreza

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. …

parsa-rahimi

Digi2Real: Bridging the Realism Gap in Synthetic Data Face Recognition via Foundation Models

The accuracy of face recognition systems has improved significantly in the past few years, thanks to the large amount of data collected and the advancement in neural network …

anjith-george

ROSALIND

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

PopEye

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