Facundo Quiroga
I've developed several key contributions to the field, including LSA64, one of the first Argentinian Sign Language datasets, and novel methods for measuring invariance and equivariance in neural networks. My recent work has focused on transformer-based architectures for sign language translation and interpretation, especially investigating how these models process and align visual inputs with sequential glosses.
Beyond sign language, I'm also interested in the theoretical aspects of deep learning, particularly in understanding how neural networks learn and encode invariances to transformations. I collaborate extensively with researchers across different institutions on projects ranging from financial analysis to medical imaging, bringing machine learning expertise to solve real-world problems in these domains.
Publications
Study on pose-based deep learning models for gloss-free Sign Language Translation
P. D. Bianco, G. Rios, W. Hasperué, Oscar Stanchi, F. Quiroga, Franco Ronchetti
Journal of Computational Science and Technology 2024
ConvAtt Network: A Low Parameter Approach For Sign Language Recognition
G. Rios, P. D. Bianco, Franco Ronchetti, F. Quiroga, Santiago Ponte Ahón, Oscar Stanchi, W. Hasperué
Journal of Computational Science and Technology 2024
VISTA: vision improvement via split and reconstruct deep neural network for fundus image quality assessment
S. Khalid, S. Abdulwahab, Oscar Stanchi, F. Quiroga, Franco Ronchetti, D. Puig, Hatem A. Rashwan
Neural computing & applications (Print) 2024
High-Resolution Income Estimates Using Satellite Imagery: A Deep Learning Approach Applied in Buenos Aires
Nicolás F. Abbate, Leonardo Gasparini, Franco Ronchetti, F. Quiroga
Latin American Computing Conference / Conferencia Latinoamericana En Informatica 2024
Data vs. information: Using clustering techniques to enhance stock returns forecasting
Javier Vásquez Sáenz, F. Quiroga, A. F. Bariviera
International Review of Financial Analysis 2023
Structured Text Generation for Spanish Freestyle Battles using Neural Networks
P. D. Bianco, I. Mindlin, L. Lanzarini, Franco Ronchetti, W. Hasperué, F. Quiroga
Latin American Computing Conference / Conferencia Latinoamericana En Informatica 2021
Proposal for evaluation and registration of sport injuries in skateboarding. Professional skateboarding injury prevention survey.
Rodrigo A Martínez Stenger, Luis V Parrilla, F. Quiroga
Journal of Sports Medicine and Physical Fitness 2021
A Study of Convolutional Architectures for Handshape Recognition applied to Sign Language
F. Quiroga, Ramiro Antonio, Franco Ronchetti, L. Lanzarini, Alejandro Rosete
The Implementation of the RISE Algorithm for the Captum Framework
Oscar Stanchi, Franco Ronchetti, F. Quiroga
JCC-BD&ET 2023
Fgr-Net: Interpretable Fundus Image Gradeability Classification Based on Deep Reconstruction Learning
Saif Khalid Musluh AL Khalidy, Hatem A. Rashwan, S. Abdulwahab, M. A. Mohamed, Domènec Savi Puig Valls, F. Quiroga
Social Science Research Network 2022
A Comparison of Neural Networks for Sign Language Recognition with LSA64
I. Mindlin, F. Quiroga, Franco Ronchetti, P. D. Bianco, G. Rios, L. Lanzarini, W. Hasperué
Communications in Computer and Information Science 2021
A Comparison of Neural Networks for Sign Language Recognition with LSA64
I. Mindlin, F. Quiroga, Franco Ronchetti, P. D. Bianco, G. Rios, L. Lanzarini, W. Hasperué
JCC-BD&ET 2021
Recognizing Handshapes using Small Datasets
Ulises Cornejo Fandos, G. Rios, Franco Ronchetti, F. Quiroga, W. Hasperué, L. Lanzarini
A support system for the diagnosis of balance pathologies
Augusto Villa Monte, F. Quiroga, Franco Ronchetti, César Estrebou, L. Lanzarini, P. M. Estelrrich, Claus Estelrrich, Raimundo Giannechini
A novel competitive neural classifier for gesture recognition with small training sets
F. Quiroga, Leonardo Corbalán
Expert Systems With Applications
S. Khalid, Hatem A. Rashwan, S. Abdulwahab, M. Abdel-Nasser, F. Quiroga, D. Puig