collaborators

5 papers

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

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…

cs.CV2024

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…