55 citations · 152 across the 11 of their papers we have counts for
12 papers
Target-Side Paraphrase Augmentation for Sign Language Translation with Large Language Models
Pedro Dal Bianco, Jean Paul Nunes Reinhold, Oscar Stanchi +3
Sign language translation (SLT) remains constrained by the limited availability of paired sign-video/text corpora and by the heavy-tailed vocabularies typical of real-world dataset…
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…
SignAttention: On the Interpretability of Transformer Models for Sign Language Translation
Pedro Alejandro Dal Bianco, Oscar Agustín Stanchi, Facundo Manuel Quiroga +2
This paper presents the first comprehensive interpretability analysis of a Transformer-based Sign Language Translation (SLT) model, focusing on the translation from video-based Gre…
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…
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…
Reddening-free Q indices to identify Be star candidates
Yael Aidelman, Carlos Escudero, Franco Ronchetti +2
Astronomical databases currently provide high-volume spectroscopic and photometric data. While spectroscopic data is better suited to the analysis of many astronomical objects, pho…