55 citations · 150 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…
First Experiences with the Identification of People at Risk for Diabetes in Argentina using Machine Learning Techniques
Enzo Rucci, Gonzalo Tittarelli, Franco Ronchetti +3
Detecting Type 2 Diabetes (T2D) and Prediabetes (PD) is a real challenge for medicine due to the absence of pathogenic symptoms and the lack of known associated risk factors. Even…
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…
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…