collaborators

9 papers

cs.CV2026

Comparative Study of Domain-adapted VLMs for General Document Visual Question Answering

Miguel Lopez-Duran, Elena Marrero, Julian Fierrez +8

Document Visual Question Answering (DocVQA) presents a complex multimodal challenge, requiring models to exploit visual, textual, and layout information from documents. Although Vi…

cs.LG2026

Personalized Weight Loss Management through Wearable Devices and Artificial Intelligence

Sergio Romero-Tapiador, Ruben Tolosana, Aythami Morales +10

Early detection of chronic and Non-Communicable Diseases (NCDs) is crucial for effective treatment during the initial stages. This study explores the application of wearable device…

cs.CV2026

Exploring Vision-Language Models for Online Signature Verification: A Zero-Shot Capability Study

Marta Robledo-Moreno, Ruben Vera-Rodriguez, Ruben Tolosana +1

Recent advancements in Vision-Language Models (VLMs) have demonstrated strong capabilities in general visual reasoning, yet their applicability to rigorous biometric tasks remains…

cs.CV2025

Is My Data in Your AI? Membership Inference Test (MINT) applied to Face Biometrics

Daniel DeAlcala, Aythami Morales, Julian Fierrez +3

This article introduces the Membership Inference Test (MINT), a novel approach that aims to empirically assess if given data was used during the training of AI/ML models. Specifica…

cs.CV2025

Active Membership Inference Test (aMINT): Enhancing Model Auditability with Multi-Task Learning

Daniel DeAlcala, Aythami Morales, Julian Fierrez +3

Active Membership Inference Test (aMINT) is a method designed to detect whether given data were used during the training of machine learning models. In Active MINT, we propose a no…

cs.HC2025

AirSignatureDB: Exploring In-Air Signature Biometrics in the Wild and its Privacy Concerns

Marta Robledo-Moreno, Ruben Vera-Rodriguez, Ruben Tolosana +3

Behavioral biometrics based on smartphone motion sensors are growing in popularity for authentication purposes. In this study, AirSignatureDB is presented: a new publicly accessibl…