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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 2020Show all

21 papers · 1 filter

cs.CV2020★ 4 cited

Exploring Facial Expressions and Affective Domains for Parkinson Detection

Luis Felipe Gomez-Gomez, Aythami Morales, Julian Fierrez +1

Parkinson's Disease (PD) is a neurological disorder that affects facial movements and non-verbal communication. Patients with PD present a reduction in facial movements called hypo…

cs.AI2020

Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Fair and Explainable Automatic Recruitment

Alfonso Ortega, Julian Fierrez, Aythami Morales +2

Machine learning methods are growing in relevance for biometrics and personal information processing in domains such as forensics, e-health, recruitment, and e-learning. In these d…

cs.CV2020★ 5 cited

Facial Expressions as a Vulnerability in Face Recognition

Alejandro Peña, Ignacio Serna, Aythami Morales +2

This work explores facial expression bias as a security vulnerability of face recognition systems. Despite the great performance achieved by state-of-the-art face recognition syste…

cs.CV2020★ 61 cited

DeepFakesON-Phys: DeepFakes Detection based on Heart Rate Estimation

Javier Hernandez-Ortega, Ruben Tolosana, Julian Fierrez +1

This work introduces a novel DeepFake detection framework based on physiological measurement. In particular, we consider information related to the heart rate using remote photople…

cs.CV2020

Learning Emotional-Blinded Face Representations

Alejandro Peña, Julian Fierrez, Agata Lapedriza +1

We propose two face representations that are blind to facial expressions associated to emotional responses. This work is in part motivated by new international regulations for pers…

cs.CV2020★ 3 cited

FairCVtest Demo: Understanding Bias in Multimodal Learning with a Testbed in Fair Automatic Recruitment

Alejandro Peña, Ignacio Serna, Aythami Morales +1

With the aim of studying how current multimodal AI algorithms based on heterogeneous sources of information are affected by sensitive elements and inner biases in the data, this de…