55 citations · 152 across the 11 of their papers we have counts for
8 papers · 1 filter
HandCraft: Dynamic Sign Generation for Synthetic Data Augmentation
Gaston Gustavo Rios, Pedro Dal Bianco, Franco Ronchetti +4
Sign Language Recognition (SLR) models face significant performance limitations due to insufficient training data availability. In this article, we address the challenge of limited…
Bringing Balance to Hand Shape Classification: Mitigating Data Imbalance Through Generative Models
Gaston Gustavo Rios, Pedro Dal Bianco, Franco Ronchetti +4
Most sign language handshape datasets are severely limited and unbalanced, posing significant challenges to effective model training. In this paper, we explore the effectiveness of…
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…
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…
LSA-T: The first continuous Argentinian Sign Language dataset for Sign Language Translation
Pedro Dal Bianco, Gastón Ríos, Franco Ronchetti +4
Sign language translation (SLT) is an active field of study that encompasses human-computer interaction, computer vision, natural language processing and machine learning. Progress…