Talks and presentations

2026

2025

Identity-Preserving Aging and De-Aging of Faces in the StyleGAN Latent Space

May 2025

Poster and demoMartigny Biometrics Workshop 2025 (EAB-CITeR), Martigny, Switzerland

Poster and live demo at the 2025 Martigny Biometrics Workshop, organized with the European Association for Biometrics (EAB) and CITeR. The demo showed our method for aging and de-aging faces by editing the StyleGAN2 latent space while keeping the identity of the person, ahead of its publication at IJCB 2025.

2024

SwiftFaceFormer: An Efficient and Lightweight Hybrid Architecture for Accurate Face Recognition Applications

December 2024

Virtual presentation (video) and posterInternational Conference on Pattern Recognition (ICPR) 2024, Kolkata, India (presented remotely)

SwiftFaceFormer is an efficient and lightweight hybrid architecture that combines convolutional and transformer components for accurate face recognition on resource-constrained devices. I presented the paper virtually with a recorded video; the poster was displayed at the conference venue.

Towards a ML-enabled Decentralized Data Vault

March 2024

TalkForum InCyber (FIC) 2024, presenting the EU H2020 SOTERIA project, Lille, France

Talk on behalf of the EU H2020 SOTERIA project at Forum InCyber (FIC) 2024 in Lille. SOTERIA developed a user-centric tool for European citizens to manage their personal data in a decentralized, secure data vault. The talk presented our work at Inria on bringing machine learning to the data vault while preserving privacy, using decentralized learning and Trusted Execution Environments.

2023

Exploring the Potential for Real-Time Vision Transformer-Level Precision on Face Recognition Scenarios through Binarization on Embedded Systems

October 2023

PosterLatinX in AI (LXAI) Workshop at ICCV 2023, Paris, France

Poster presentation of our peer-reviewed extended abstract at the LatinX in AI workshop at ICCV 2023. The work explores whether binarized networks can bring face recognition close to Vision Transformer-level accuracy while running in real time on embedded systems, continuing my PhD research on efficient face recognition.

2022

Cerrando la brecha en el reconocimiento facial (Closing the gap in face recognition)

March 2022

Doctoral consortium presentationCIDTEC Doctoral Consortium, Tecnológico de Monterrey (virtual edition), Online

I presented my PhD research on affordable, real-time very low resolution face recognition for automated video surveillance. In surveillance footage, faces are often only a few pixels wide, and state-of-the-art recognition models are too heavy to run on the embedded devices where cameras are deployed. My thesis addressed both problems with lightweight and binarized neural networks for very low resolution face recognition.