activity
20192021
most citedChaotic Phase Synchronization and Desynchronization in an Oscillator Network for Object Selection

50 citations · 73 across the 7 of their papers we have counts for

collaborators

8 papers

cs.LG2021

Model-agnostic interpretation by visualization of feature perturbations

Wilson E. Marcílio-Jr, Danilo M. Eler, Fabrício Breve

Interpretation of machine learning models has become one of the most important research topics due to the necessity of maintaining control and avoiding bias in these algorithms. Si…

cs.CV2020

Complex Network Construction for Interactive Image Segmentation using Particle Competition and Cooperation: A New Approach

Jefferson Antonio Ribeiro Passerini, Fabricio Aparecido Breve

In the interactive image segmentation task, the Particle Competition and Cooperation (PCC) model is fed with a complex network, which is built from the input image. In the network…

cs.CV2020

Visually Impaired Aid using Convolutional Neural Networks, Transfer Learning, and Particle Competition and Cooperation

Fabricio Breve, Carlos Norberto Fischer

Navigation and mobility are some of the major problems faced by visually impaired people in their daily lives. Advances in computer vision led to the proposal of some navigation sy…

cs.CV20204 cited

Building Networks for Image Segmentation using Particle Competition and Cooperation

Fabricio Breve

Particle competition and cooperation (PCC) is a graph-based semi-supervised learning approach. When PCC is applied to interactive image segmentation tasks, pixels are converted int…

cs.LG2020

Simple Interactive Image Segmentation using Label Propagation through kNN graphs

Fabricio Aparecido Breve

Many interactive image segmentation techniques are based on semi-supervised learning. The user may label some pixels from each object and the SSL algorithm will propagate the label…

cs.CV202050 cited

Chaotic Phase Synchronization and Desynchronization in an Oscillator Network for Object Selection

Fabricio A Breve, Marcos G Quiles, Liang Zhao +1

Object selection refers to the mechanism of extracting objects of interest while ignoring other objects and background in a given visual scene. It is a fundamental issue for many c…