most citedImage captioning for Brazilian Portuguese using GRIT model

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024

Evaluation Metrics for Text Data Augmentation in NLP

Marcellus Amadeus, William Alberto Cruz Castañeda

Recent surveys on data augmentation for natural language processing have reported different techniques and advancements in the field. Several frameworks, tools, and repositories pr…

cs.CL2024

Phonetically rich corpus construction for a low-resourced language

Marcellus Amadeus, William Alberto Cruz Castañeda, Wilmer Lobato +1

Speech technologies rely on capturing a speaker's voice variability while obtaining comprehensive language information. Textual prompts and sentence selection methods have been pro…

cs.CV20241 cited

Image captioning for Brazilian Portuguese using GRIT model

Rafael Silva de Alencar, William Alberto Cruz Castañeda, Marcellus Amadeus

This work presents the early development of a model of image captioning for the Brazilian Portuguese language. We used the GRIT (Grid - and Region-based Image captioning Transforme…

cs.CV2024

An Inpainting-Infused Pipeline for Attire and Background Replacement

Felipe Rodrigues Perche-Mahlow, André Felipe-Zanella, William Alberto Cruz-Castañeda +1

In recent years, groundbreaking advancements in Generative Artificial Intelligence (GenAI) have triggered a transformative paradigm shift, significantly influencing various domains…

cs.CL2023

Performance of Data Augmentation Methods for Brazilian Portuguese Text Classification

Marcellus Amadeus, Paulo Branco

Improving machine learning performance while increasing model generalization has been a constantly pursued goal by AI researchers. Data augmentation techniques are often used towar…