Facundo Quiroga
National University of La Plata
36 Papers
29 Citations
Facundo Quiroga is an academic researcher from National University of La Plata. The author has contributed to research in topics: Computer science & Sign language. The author has an hindex of 6, co-authored 25 publications.
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Papers
LSA64: An Argentinian Sign Language Dataset
Franco Ronchetti,Facundo Quiroga,César Armando Estrebou,Laura Cristina Lanzarini,Alejandro Rosete +4 more
- 01 Jan 2016
TL;DR: A dataset of 64 signs from the Argentinian Sign Language, called LSA64, contains 3200 videos of 64 different LSA signs recorded by 10 subjects, and is a first step towards building a comprehensive research-level dataset of Argentinian signs, specifically tailored to sign language recognition or other machine learning tasks.
Redes neuronales artificiales
Laura Cristina Lanzarini,Waldo Hasperué,César Armando Estrebou,Franco Ronchetti,Augusto Villa Monte,Germán Osvaldo Aquino,Facundo Quiroga,Luis Rojas,Patricia Jimbo Santana +8 more
- 11 May 2015
TL;DR: Una RNA (Red Neuronal Artificial) es un modelo matemático inspirado en el comportamiento biológico de las neuronas and en the estructura del cerebro, que puede ser vista como un sistema inteligente que lleva a cabo tareas de manera distinta a como lo hacen las computadoras actuales.
Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks
Facundo Quiroga,Franco Ronchetti,Laura Cristina Lanzarini,Aurelio F. Bariviera +3 more
- 28 Jan 2018
TL;DR: These experiments show that networks trained with data augmentation alone can classify rotated images nearly as well as in the normal unrotated case; this increase in representational power comes only at the cost of training time.
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Sign Languague Recognition Without Frame-Sequencing Constraints: A Proof of Concept on the Argentinian Sign Language
Franco Ronchetti,Facundo Quiroga,César Armando Estrebou,Laura Cristina Lanzarini,Alejandro Rosete +4 more
- 23 Nov 2016
TL;DR: Automatic sign language recognition (SLR) could assist in the translation process and the integration of hearing-impaired people, as well as the teaching of sign language for the hearing population.
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Distribution of action movements (DAM): a descriptor for human action recognition
TL;DR: The Distribution of Action Movements Descriptor is introduced, a novel action descriptor based on the distribution of the directions of the motions of the joints between frames, over the set of all possible motions in the dataset.