most citedLSA64: An Argentinian Sign Language Dataset

55 citations · 146 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV202328 cited

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…

cs.CV202355 cited

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…

cs.CV202315 cited

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…

cs.CV202312 cited

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…

cs.CV202336 cited

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…