87 citations · 107 across the 6 of their papers we have counts for
8 papers
Bridging the gap in FER: addressing age bias in deep learning
F. Xavier Gaya-Morey, Julia Sanchez-Perez, Cristina Manresa-Yee +1
Facial Expression Recognition (FER) systems based on deep learning have achieved impressive performance in recent years. However, these models often exhibit demographic biases, par…
Evaluating Facial Expression Recognition Datasets for Deep Learning: A Benchmark Study with Novel Similarity Metrics
F. Xavier Gaya-Morey, Cristina Manresa-Yee, Célia Martinie +1
This study investigates the key characteristics and suitability of widely used Facial Expression Recognition (FER) datasets for training deep learning models. In the field of affec…
Deep Learning-Based Facial Expression Recognition for the Elderly: A Systematic Review
F. Xavier Gaya-Morey, Jose M. Buades-Rubio, Philippe Palanque +2
The rapid aging of the global population has highlighted the need for technologies to support elderly, particularly in healthcare and emotional well-being. Facial expression recogn…
Automated facial recognition system using deep learning for pain assessment in adults with cerebral palsy
Álvaro Sabater-Gárriz, F. Xavier Gaya-Morey, José María Buades-Rubio +3
Background: Pain assessment in individuals with neurological conditions, especially those with limited self-report ability and altered facial expressions, presents challenges. Exis…
Assessing the Efficacy of Deep Learning Approaches for Facial Expression Recognition in Individuals with Intellectual Disabilities
F. Xavier Gaya-Morey, Silvia Ramis, Jose M. Buades-Rubio +1
Facial expression recognition has gained significance as a means of imparting social robots with the capacity to discern the emotional states of users. The use of social robotics i…
Unveiling the Human-like Similarities of Automatic Facial Expression Recognition: An Empirical Exploration through Explainable AI
F. Xavier Gaya-Morey, Silvia Ramis-Guarinos, Cristina Manresa-Yee +1
Facial expression recognition is vital for human behavior analysis, and deep learning has enabled models that can outperform humans. However, it is unclear how closely they mimic h…
REVEX: A Unified Framework for Removal-Based Explainable Artificial Intelligence in Video
F. Xavier Gaya-Morey, Jose M. Buades-Rubio, I. Scott MacKenzie +1
We developed REVEX, a removal-based video explanations framework. This work extends fine-grained explanation frameworks for computer vision data and adapts six existing techniques…
Deep Learning for Computer Vision based Activity Recognition and Fall Detection of the Elderly: a Systematic Review
F. Xavier Gaya-Morey, Cristina Manresa-Yee, Jose M. Buades-Rubio
As the percentage of elderly people in developed countries increases worldwide, the healthcare of this collective is a worrying matter, especially if it includes the preservation o…