37 citations · 261 across the 24 of their papers we have counts for
34 papers
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…
Pattern Spotting and Image Retrieval in Historical Documents using Deep Hashing
Caio da S. Dias, Alceu de S. Britto, Jean P. Barddal +2
This paper presents a deep learning approach for image retrieval and pattern spotting in digital collections of historical documents. First, a region proposal algorithm detects obj…
Evaluation of Different Annotation Strategies for Deployment of Parking Spaces Classification Systems
Andre G. Hochuli, Alceu S. Britto, Paulo R. L. de Almeida +2
When using vision-based approaches to classify individual parking spaces between occupied and empty, human experts often need to annotate the locations and label a training set con…
Evaluation of Self-taught Learning-based Representations for Facial Emotion Recognition
Bruna Delazeri, Leonardo L. Veras, Alceu de S. Britto +2
This work describes different strategies to generate unsupervised representations obtained through the concept of self-taught learning for facial emotion recognition (FER). The ide…
Multiscale Analysis for Improving Texture Classification
Steve T. M. Ataky, Diego Saqui, Jonathan de Matos +2
Information from an image occurs over multiple and distinct spatial scales. Image pyramid multiresolution representations are a useful data structure for image analysis and manipul…
Open-set Face Recognition for Small Galleries Using Siamese Networks
Gabriel Salomon, Alceu Britto, Rafael H. Vareto +2
Face recognition has been one of the most relevant and explored fields of Biometrics. In real-world applications, face recognition methods usually must deal with scenarios where no…