249 citations · 603 across the 12 of their papers we have counts for
15 papers
An analysis of Reinforcement Learning applied to Coach task in IEEE Very Small Size Soccer
Carlos H. C. Pena, Mateus G. Machado, Mariana S. Barros +6
The IEEE Very Small Size Soccer (VSSS) is a robot soccer competition in which two teams of three small robots play against each other. Traditionally, a deterministic coach agent wi…
Single Image HDR Reconstruction Using a CNN with Masked Features and Perceptual Loss
Marcel Santana Santos, Tsang Ing Ren, Nima Khademi Kalantari
Digital cameras can only capture a limited range of real-world scenes' luminance, producing images with saturated pixels. Existing single image high dynamic range (HDR) reconstruct…
J Regularization Improves Imbalanced Multiclass Segmentation
Fidel A. Guerrero Peña, Pedro D. Marrero Fernandez, Paul T. Tarr +3
We propose a new loss formulation to further advance the multiclass segmentation of cluttered cells under weakly supervised conditions. We improve the separation of touching and im…
A Multiple Source Hourglass Deep Network for Multi-Focus Image Fusion
Fidel Alejandro Guerrero Peña, Pedro Diamel Marrero Fernández, Tsang Ing Ren +2
Multi-Focus Image Fusion seeks to improve the quality of an acquired burst of images with different focus planes. For solving the task, an activity level measurement and a fusion r…
A Weakly Supervised Method for Instance Segmentation of Biological Cells
Fidel A. Guerrero-Peña, Pedro D. Marrero Fernandez, Tsang Ing Ren +1
We present a weakly supervised deep learning method to perform instance segmentation of cells present in microscopy images. Annotation of biomedical images in the lab can be scarce…
FERAtt: Facial Expression Recognition with Attention Net
Pedro D. Marrero Fernandez, Fidel A. Guerrero Peña, Tsang Ing Ren +1
We present a new end-to-end network architecture for facial expression recognition with an attention model. It focuses attention in the human face and uses a Gaussian space represe…
2D/3D Megavoltage Image Registration Using Convolutional Neural Networks
Hector N. B. Pinheiro, Tsang Ing Ren, Stefan Scheib +2
We presented a 2D/3D MV image registration method based on a Convolutional Neural Network. Most of the traditional image registration method intensity-based, which use optimization…
A Method For Dynamic Ensemble Selection Based on a Filter and an Adaptive Distance to Improve the Quality of the Regions of Competence
Rafael M. O. Cruz, George D. C. Cavalcanti, Tsang Ing Ren
Dynamic classifier selection systems aim to select a group of classifiers that is most adequate for a specific query pattern. This is done by defining a region around the query pat…
Burst ranking for blind multi-image deblurring
Fidel A. Guerrero Peña, Pedro D. Marrero Fernández, Tsang Ing Ren +2
We propose a new incremental aggregation algorithm for multi-image deblurring with automatic image selection. The primary motivation is that current bursts deblurring methods do no…
Fast and Robust Multiple ColorChecker Detection using Deep Convolutional Neural Networks
Pedro D. Marrero Fernandez, Fidel A. Guerrero-Peña, Tsang Ing Ren +1
ColorCheckers are reference standards that professional photographers and filmmakers use to ensure predictable results under every lighting condition. The objective of this work is…
META-DES: A Dynamic Ensemble Selection Framework using Meta-Learning
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti +1
Dynamic ensemble selection systems work by estimating the level of competence of each classifier from a pool of classifiers. Only the most competent ones are selected to classify a…
Multiclass Weighted Loss for Instance Segmentation of Cluttered Cells
Fidel A. Guerrero-Pena, Pedro D. Marrero Fernandez, Tsang Ing Ren +3
We propose a new multiclass weighted loss function for instance segmentation of cluttered cells. We are primarily motivated by the need of developmental biologists to quantify and…
A Data Mining Approach to Solve the Goal Scoring Problem
Renato Oliveira, Paulo Adeodato, Arthur Carvalho +3
In soccer, scoring goals is a fundamental objective which depends on many conditions and constraints. Considering the RoboCup soccer 2D-simulator, this paper presents a data mining…
Bounded fitness landscapes and the evolution of the linguistic diversity
Viviane M. de Oliveira, Paulo R. A. Campos, Marcelo A. F. Gomes +1
A simple spatial computer simulation model was recently introduced to study the evolution of the linguistic diversity. The model considers processes of selective geographic coloniz…
Scaling relations for diversity of languages
M. A. F. Gomes, G. L. Vasconcelos, I. J. Tsang +1
The distribution of living languages is investigated and scaling relations are found for the diversity of languages as a function of the country area and population. These results…