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20212026
most citedSecond FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data

17 citations · 46 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

VideoRun2D Demo: Markerless Body Tracking for Biomechanical Analysis of Running

Luis F. Gomez, Julian Fierrez, Roberto Daza +5

Human pose estimation has advanced significantly due to the development of deep learning models, increased data availability, and improved computing resources. These developments h…

cs.CV2026

Leveraging Avatar Fingerprinting: A Multi-Generator Photorealistic Talking-Head Public Database and Benchmark

Laura Pedrouzo-Rodriguez, Luis F. Gomez, Ruben Tolosana +4

Recent advances in photorealistic avatar generation have enabled highly realistic talking-head avatars, raising security concerns regarding identity impersonation in AI-mediated co…

cs.CV2024★ 17 cited

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.CV2023★ 4 cited

PAD-Phys: Exploiting Physiology for Presentation Attack Detection in Face Biometrics

Luis F. Gomez, Julian Fierrez, Aythami Morales +5

Presentation Attack Detection (PAD) is a crucial stage in facial recognition systems to avoid leakage of personal information or spoofing of identity to entities. Recently, pulse d…

cs.CV2023★ 2 cited

Toward Face Biometric De-identification using Adversarial Examples

Mahdi Ghafourian, Julian Fierrez, Luis Felipe Gomez +4

The remarkable success of face recognition (FR) has endangered the privacy of internet users particularly in social media. Recently, researchers turned to use adversarial examples…

cs.CV2023★ 7 cited

MATT: Multimodal Attention Level Estimation for e-learning Platforms

Roberto Daza, Luis F. Gomez, Aythami Morales +4

This work presents a new multimodal system for remote attention level estimation based on multimodal face analysis. Our multimodal approach uses different parameters and signals ob…