77 citations · 210 across the 8 of their papers we have counts for
8 papers
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…
Do We Train on Test Data? The Impact of Near-Duplicates on License Plate Recognition
Rayson Laroca, Valter Estevam, Alceu S. Britto +2
This work draws attention to the large fraction of near-duplicates in the training and test sets of datasets widely adopted in License Plate Recognition (LPR) research. These dupli…
Global Semantic Descriptors for Zero-Shot Action Recognition
Valter Estevam, Rayson Laroca, Helio Pedrini +1
The success of Zero-shot Action Recognition (ZSAR) methods is intrinsically related to the nature of semantic side information used to transfer knowledge, although this aspect has…
A First Look at Dataset Bias in License Plate Recognition
Rayson Laroca, Marcelo Santos, Valter Estevam +2
Public datasets have played a key role in advancing the state of the art in License Plate Recognition (LPR). Although dataset bias has been recognized as a severe problem in the co…
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…