203 citations · 473 across the 9 of their papers we have counts for
9 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…
Measuring economic activity from space: a case study using flying airplanes and COVID-19
Mauricio Pamplona Segundo, Allan Pinto, Rodrigo Minetto +2
This work introduces a novel solution to measure economic activity through remote sensing for a wide range of spatial areas. We hypothesized that disturbances in human behavior cau…
Active Fire Detection in Landsat-8 Imagery: a Large-Scale Dataset and a Deep-Learning Study
Gabriel Henrique de Almeida Pereira, André Minoro Fusioka, Bogdan Tomoyuki Nassu +1
Active fire detection in satellite imagery is of critical importance to the management of environmental conservation policies, supporting decision-making and law enforcement. This…
Measuring Human and Economic Activity from Satellite Imagery to Support City-Scale Decision-Making during COVID-19 Pandemic
Rodrigo Minetto, Mauricio Pamplona Segundo, Gilbert Rotich +1
The COVID-19 outbreak forced governments worldwide to impose lockdowns and quarantines to prevent virus transmission. As a consequence, there are disruptions in human and economic…
Vehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle Identification Using Convolutional Neural Networks
Icaro O. de Oliveira, Rayson Laroca, David Menotti +2
This work addresses the problem of vehicle identification through non-overlapping cameras. As our main contribution, we introduce a novel dataset for vehicle identification, called…
OutdoorSent: Sentiment Analysis of Urban Outdoor Images by Using Semantic and Deep Features
Wyverson B. de Oliveira, Leyza B. Dorini, Rodrigo Minetto +1
Opinion mining in outdoor images posted by users during different activities can provide valuable information to better understand urban areas. In this regard, we propose a framewo…
A Two-Stream Siamese Neural Network for Vehicle Re-Identification by Using Non-Overlapping Cameras
Icaro O. de Oliveira, Keiko V. O. Fonseca, Rodrigo Minetto
We describe in this paper a Two-Stream Siamese Neural Network for vehicle re-identification. The proposed network is fed simultaneously with small coarse patches of the vehicle sha…
Resource-Constrained Simultaneous Detection and Labeling of Objects in High-Resolution Satellite Images
Gilbert Rotich, Rodrigo Minetto, Sudeep Sarkar
We describe a strategy for detection and classification of man-made objects in large high-resolution satellite photos under computational resource constraints. We detect and classi…
Hydra: an Ensemble of Convolutional Neural Networks for Geospatial Land Classification
Rodrigo Minetto, Mauricio Pamplona Segundo, Sudeep Sarkar
We describe in this paper Hydra, an ensemble of convolutional neural networks (CNN) for geospatial land classification. The idea behind Hydra is to create an initial CNN that is co…