55 citations · 159 across the 8 of their papers we have counts for
9 papers
Sign Languague Recognition without frame-sequencing constraints: A proof of concept on the Argentinian Sign Language
Franco Ronchetti, Facundo Manuel Quiroga, César Estrebou +2
Automatic sign language recognition (SLR) is an important topic within the areas of human-computer interaction and machine learning. On the one hand, it poses a complex challenge t…
LSA64: An Argentinian Sign Language Dataset
Franco Ronchetti, Facundo Manuel Quiroga, César Estrebou +2
Automatic sign language recognition is a research area that encompasses human-computer interaction, computer vision and machine learning. Robust automatic recognition of sign langu…
Handshape recognition for Argentinian Sign Language using ProbSom
Franco Ronchetti, Facundo Manuel Quiroga, César Estrebou +1
Automatic sign language recognition is an important topic within the areas of human-computer interaction and machine learning. On the one hand, it poses a complex challenge that re…
Distribution of Action Movements (DAM): A Descriptor for Human Action Recognition
Facundo Manuel Quiroga, Franco Ronchetti, Laura Lanzarini +1
Human action recognition from skeletal data is an important and active area of research in which the state of the art has not yet achieved near-perfect accuracy on many well-known…
Invariance Measures for Neural Networks
Facundo Manuel Quiroga, Jordina Torrents-Barrena, Laura Cristina Lanzarini +1
Invariances in neural networks are useful and necessary for many tasks. However, the representation of the invariance of most neural network models has not been characterized. We p…
Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks
Facundo Manuel Quiroga, Franco Ronchetti, Laura Lanzarini +1
Convolutional Neural Networks (CNN) offer state of the art performance in various computer vision tasks. Many of those tasks require different subtypes of affine invariances (scale…