7 citations · 11 across the 5 of their papers we have counts for
5 papers
SDFR: Synthetic Data for Face Recognition Competition
Hatef Otroshi Shahreza, Christophe Ecabert, Anjith George +25
Large-scale face recognition datasets are collected by crawling the Internet and without individuals' consent, raising legal, ethical, and privacy concerns. With the recent advance…
Synthetic Data for the Mitigation of Demographic Biases in Face Recognition
Pietro Melzi, Christian Rathgeb, Ruben Tolosana +5
This study investigates the possibility of mitigating the demographic biases that affect face recognition technologies through the use of synthetic data. Demographic biases have th…
FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data
Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez +44
Despite the widespread adoption of face recognition technology around the world, and its remarkable performance on current benchmarks, there are still several challenges that must…
GANDiffFace: Controllable Generation of Synthetic Datasets for Face Recognition with Realistic Variations
Pietro Melzi, Christian Rathgeb, Ruben Tolosana +4
Face recognition systems have significantly advanced in recent years, driven by the availability of large-scale datasets. However, several issues have recently came up, including p…
Benchmarking of Cancelable Biometrics for Deep Templates
Hatef Otroshi Shahreza, Pietro Melzi, Dailé Osorio-Roig +5
In this paper, we benchmark several cancelable biometrics (CB) schemes on different biometric characteristics. We consider BioHashing, Multi-Layer Perceptron (MLP) Hashing, Bloom F…