most citedLSA64: An Argentinian Sign Language Dataset

55 citations · 150 across the 7 of their papers we have counts for

collaborators

7 papers

cs.IR20241 cited

Un análisis bibliométrico de la producción científica acerca del agrupamiento de trayectorias GPS

Gary Reyes, Laura Lanzarini, César Estrebou +1

Clustering algorithms or methods for GPS trajectories are in constant evolution due to the interest aroused in part of the scientific community. With the development of clustering…

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.LG20233 cited

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…