134 citations · 736 across the 77 of their papers we have counts for
12 papers · 1 filter
KVC-onGoing: Keystroke Verification Challenge
Giuseppe Stragapede, Ruben Vera-Rodriguez, Ruben Tolosana +27
This article presents the Keystroke Verification Challenge - onGoing (KVC-onGoing), on which researchers can easily benchmark their systems in a common platform using large-scale 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…
From Pixels to Words: Leveraging Explainability in Face Recognition through Interactive Natural Language Processing
Ivan DeAndres-Tame, Muhammad Faisal, Ruben Tolosana +3
Face Recognition (FR) has advanced significantly with the development of deep learning, achieving high accuracy in several applications. However, the lack of interpretability of th…
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…
Type2Branch: Keystroke Biometrics based on a Dual-branch Architecture with Attention Mechanisms and Set2set Loss
Nahuel González, Giuseppe Stragapede, Rubén Vera-Rodriguez +1
In 2021, the pioneering work TypeNet showed that keystroke dynamics verification could scale to hundreds of thousands of users with minimal performance degradation. Recently, the K…
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…
SDFR: Synthetic Data for Face Recognition Competition
Hatef Otroshi Shahreza, Christophe Ecabert, Anjith George +25
Large-scale face recognition datasets are collected by crawling the Internet and without individuals' consent, raising legal, ethical, and privacy concerns. With the recent advance…
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…
Synthetic Data for the Mitigation of Demographic Biases in Face Recognition
Pietro Melzi, Christian Rathgeb, Ruben Tolosana +5
This study investigates the possibility of mitigating the demographic biases that affect face recognition technologies through the use of synthetic data. Demographic biases have th…
IEEE BigData 2023 Keystroke Verification Challenge (KVC)
Giuseppe Stragapede, Ruben Vera-Rodriguez, Ruben Tolosana +26
This paper describes the results of the IEEE BigData 2023 Keystroke Verification Challenge (KVC), that considers the biometric verification performance of Keystroke Dynamics (KD),…