17 citations · 41 across the 6 of their papers we have counts for
6 papers
A Comparative Study on Synthetic Facial Data Generation Techniques for Face Recognition
Pedro Vidal, Bernardo Biesseck, Luiz E. L. Coelho +2
Facial recognition has become a widely used method for authentication and identification, with applications for secure access and locating missing persons. Its success is largely a…
Exploring Light-Weight Object Recognition for Real-Time Document Detection
Lucas Wojcik, Luiz Coelho, Roger Granada +1
Object Recognition and Document Skew Estimation have come a long way in terms of performance and efficiency. New models follow one of two directions: improving performance using la…
Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data
Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi +56
Synthetic data is gaining increasing popularity for face recognition technologies, mainly due to the privacy concerns and challenges associated with obtaining real data, including…
TCDiff: Triple Condition Diffusion Model with 3D Constraints for Stylizing Synthetic Faces
Bernardo Biesseck, Pedro Vidal, Luiz Coelho +2
A robust face recognition model must be trained using datasets that include a large number of subjects and numerous samples per subject under varying conditions (such as pose, expr…
Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data
Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi +55
Synthetic data is gaining increasing relevance for training machine learning models. This is mainly motivated due to several factors such as the lack of real data and intra-class v…
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…