534 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Universidade Tecnológica Federal do ParanáBR9 papers
- Universidade Federal do ParanáBR8 papers
- Universidade Estadual Paulista (Unesp)BR6 papers
- Instituto Federal de Educação, Ciência e Tecnologia do ParáBR5 papers
- Pontifícia Universidade Católica do ParanáBR4 papers
- Universidade Estadual de Campinas (UNICAMP)BR3 papers
- Universidade Estadual de MaringáBR3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Centro de Astrofísica da Universidade do PortoPT2 papers
- Institute of Astrophysics and Space SciencesPT2 papers
- Instituto de Astrofísica de CanariasES2 papers
- Laboratório Nacional de AstrofísicaBR2 papers
6 papers · 1 filter
Advancing Multinational License Plate Recognition Through Synthetic and Real Data Fusion: A Comprehensive Evaluation
Rayson Laroca, Valter Estevam, Gladston J. P. Moreira +2
Automatic License Plate Recognition is a frequent research topic due to its wide-ranging practical applications. While recent studies use synthetic images to improve License Plate…
Leveraging Model Fusion for Improved License Plate Recognition
Rayson Laroca, Luiz A. Zanlorensi, Valter Estevam +2
License Plate Recognition (LPR) plays a critical role in various applications, such as toll collection, parking management, and traffic law enforcement. Although LPR has witnessed…
On the Cross-dataset Generalization in License Plate Recognition
Rayson Laroca, Everton V. Cardoso, Diego R. Lucio +2
Automatic License Plate Recognition (ALPR) systems have shown remarkable performance on license plates (LPs) from multiple regions due to advances in deep learning and the increasi…
Tell me what you see: A zero-shot action recognition method based on natural language descriptions
Valter Estevam, Rayson Laroca, David Menotti +1
This paper presents a novel approach to Zero-Shot Action Recognition. Recent works have explored the detection and classification of objects to obtain semantic information from vid…
Dense Video Captioning Using Unsupervised Semantic Information
Valter Estevam, Rayson Laroca, Helio Pedrini +1
We introduce a method to learn unsupervised semantic visual information based on the premise that complex events can be decomposed into simpler events and that these simple events…
Zero-Shot Action Recognition in Videos: A Survey
Valter Estevam, Helio Pedrini, David Menotti
Zero-Shot Action Recognition has attracted attention in the last years and many approaches have been proposed for recognition of objects, events and actions in images and videos. T…