212 citations · 1.4k across the 49 of their papers we have counts for
53 papers
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…
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…
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…
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…
AG-VPReID 2025: Aerial-Ground Video-based Person Re-identification Challenge Results
Kien Nguyen, Clinton Fookes, Sridha Sridharan +20
Person re-identification (ReID) across aerial and ground vantage points has become crucial for large-scale surveillance and public safety applications. Although significant progres…
Are Vision-Language Models Ready for Dietary Assessment? Exploring the Next Frontier in AI-Powered Food Image Recognition
Sergio Romero-Tapiador, Ruben Tolosana, Blanca Lacruz-Pleguezuelos +7
Automatic dietary assessment based on food images remains a challenge, requiring precise food detection, segmentation, and classification. Vision-Language Models (VLMs) offer new p…
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…
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…
DeepFace-Attention: Multimodal Face Biometrics for Attention Estimation with Application to e-Learning
Roberto Daza, Luis F. Gomez, Julian Fierrez +3
This work introduces an innovative method for estimating attention levels (cognitive load) using an ensemble of facial analysis techniques applied to webcam videos. Our method is p…
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…
Longitudinal Analysis and Quantitative Assessment of Child Development through Mobile Interaction
Juan Carlos Ruiz-Garcia, Ruben Tolosana, Ruben Vera-Rodriguez +4
This article provides a comprehensive overview of recent research in the area of Child-Computer Interaction (CCI). The main contributions of the present article are two-fold. First…
Children Age Group Detection based on Human-Computer Interaction and Time Series Analysis
Juan Carlos Ruiz-Garcia, Carlos Hojas, Ruben Tolosana +5
This article proposes a novel Children-Computer Interaction (CCI) approach for the task of age group detection. This approach focuses on the automatic analysis of the time series g…
How Good is ChatGPT at Face Biometrics? A First Look into Recognition, Soft Biometrics, and Explainability
Ivan DeAndres-Tame, Ruben Tolosana, Ruben Vera-Rodriguez +3
Large Language Models (LLMs) such as GPT developed by OpenAI, have already shown astonishing results, introducing quick changes in our society. This has been intensified by the rel…
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…
Keystroke Verification Challenge (KVC): Biometric and Fairness Benchmark Evaluation
Giuseppe Stragapede, Ruben Vera-Rodriguez, Ruben Tolosana +4
Analyzing keystroke dynamics (KD) for biometric verification has several advantages: it is among the most discriminative behavioral traits; keyboards are among the most common huma…
FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data
Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez +44
Despite the widespread adoption of face recognition technology around the world, and its remarkable performance on current benchmarks, there are still several challenges that must…
AI4Food-NutritionFW: A Novel Framework for the Automatic Synthesis and Analysis of Eating Behaviours
Sergio Romero-Tapiador, Ruben Tolosana, Aythami Morales +7
Nowadays millions of images are shared on social media and web platforms. In particular, many of them are food images taken from a smartphone over time, providing information relat…
Exploring Transformers for On-Line Handwritten Signature Verification
Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez +4
The application of mobile biometrics as a user-friendly authentication method has increased in the last years. Recent studies have proposed novel behavioral biometric recognition s…
Document Layout Annotation: Database and Benchmark in the Domain of Public Affairs
Alejandro Peña, Aythami Morales, Julian Fierrez +5
Every day, thousands of digital documents are generated with useful information for companies, public organizations, and citizens. Given the impossibility of processing them manual…
Leveraging Large Language Models for Topic Classification in the Domain of Public Affairs
Alejandro Peña, Aythami Morales, Julian Fierrez +5
The analysis of public affairs documents is crucial for citizens as it promotes transparency, accountability, and informed decision-making. It allows citizens to understand governm…
Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma
Daniel DeAlcala, Ignacio Serna, Aythami Morales +2
The new regulatory framework proposal on Artificial Intelligence (AI) published by the European Commission establishes a new risk-based legal approach. The proposal highlights the…
Introduction to Presentation Attacks in Signature Biometrics and Recent Advances
Carlos Gonzalez-Garcia, Ruben Tolosana, Ruben Vera-Rodriguez +2
Applications based on biometric authentication have received a lot of interest in the last years due to the breathtaking results obtained using personal traits such as face or fing…
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment
Alejandro Peña, Ignacio Serna, Aythami Morales +5
The presence of decision-making algorithms in society is rapidly increasing nowadays, while concerns about their transparency and the possibility of these algorithms becoming new s…
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…