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20192026
most citedDeepFakesON-Phys: DeepFakes Detection based on Heart Rate Estimation

61 citations · 518 across the 94 of their papers we have counts for

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Showing 2022Show all

9 papers · 1 filter

cs.HC2022★ 1 cited

edBB-Demo: Biometrics and Behavior Analysis for Online Educational Platforms

Roberto Daza, Aythami Morales, Ruben Tolosana +3

We present edBB-Demo, a demonstrator of an AI-powered research platform for student monitoring in remote education. The edBB platform aims to study the challenges associated to use…

cs.CV2022★ 6 cited

TypeFormer: Transformers for Mobile Keystroke Biometrics

Giuseppe Stragapede, Paula Delgado-Santos, Ruben Tolosana +3

The broad usage of mobile devices nowadays, the sensitiveness of the information contained in them, and the shortcomings of current mobile user authentication methods are calling f…

cs.CV2022★ 18 cited

Leveraging Automatic Personalised Nutrition: Food Image Recognition Benchmark and Dataset based on Nutrition Taxonomy

Sergio Romero-Tapiador, Ruben Tolosana, Aythami Morales +7

Maintaining a healthy lifestyle has become increasingly challenging in today's sedentary society marked by poor eating habits. To address this issue, both national and internationa…

cs.CV2022★ 1 cited

IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C)

Giuseppe Stragapede, Ruben Vera-Rodriguez, Ruben Tolosana +11

This paper describes the experimental framework and results of the IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C). The aim of MobileB2C is benchmarking mobile user…

cs.LG2022

BeCAPTCHA-Type: Biometric Keystroke Data Generation for Improved Bot Detection

Daniel DeAlcala, Aythami Morales, Ruben Tolosana +5

This work proposes a data driven learning model for the synthesis of keystroke biometric data. The proposed method is compared with two statistical approaches based on Universal an…

cs.CV2022★ 1 cited

Mobile Keystroke Biometrics Using Transformers

Giuseppe Stragapede, Paula Delgado-Santos, Ruben Tolosana +3

Among user authentication methods, behavioural biometrics has proven to be effective against identity theft as well as user-friendly and unobtrusive. One of the most popular traits…

cs.CV2022★ 1 cited

BehavePassDB: Public Database for Mobile Behavioral Biometrics and Benchmark Evaluation

Giuseppe Stragapede, Ruben Vera-Rodriguez, Ruben Tolosana +1

Mobile behavioral biometrics have become a popular topic of research, reaching promising results in terms of authentication, exploiting a multimodal combination of touchscreen and…

cs.CV2022

Mobile Behavioral Biometrics for Passive Authentication

Giuseppe Stragapede, Ruben Vera-Rodriguez, Ruben Tolosana +3

Current mobile user authentication systems based on PIN codes, fingerprint, and face recognition have several shortcomings. Such limitations have been addressed in the literature b…

cs.CV2022★ 1 cited

FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment

Javier Hernandez-Ortega, Julian Fierrez, Ignacio Serna +1

In this paper we develop FaceQgen, a No-Reference Quality Assessment approach for face images based on a Generative Adversarial Network that generates a scalar quality measure rela…