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04/25/2023
A Practical Algorithm for Max-Norm Optimal Binary Labeling of Graphs
This paper concerns the efficient implementation of a method for optimal...
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11/16/2021
CNN Filter Learning from Drawn Markers for the Detection of Suggestive Signs of COVID-19 in CT Images
Early detection of COVID-19 is vital to control its spread. Deep learnin...
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09/06/2021
Iterative Pseudo-Labeling with Deep Feature Annotation and Confidence-Based Sampling
Training deep neural networks is challenging when large and annotated da...
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02/18/2021
Hierarchical Learning Using Deep Optimum-Path Forest
Bag-of-Visual Words (BoVW) and deep learning techniques have been widely...
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09/17/2020
Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient
Locating populations in rural areas of developing countries has attracte...
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08/08/2020
Learning CNN filters from user-drawn image markers for coconut-tree image classification
Identifying species of trees in aerial images is essential for land-use ...
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01/24/2019
Correcting rural building annotations in OpenStreetMap using convolutional neural networks
Rural building mapping is paramount to support demographic studies and p...
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01/30/2018
An Iterative Spanning Forest Framework for Superpixel Segmentation
Superpixel segmentation has become an important research problem in imag...
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10/26/2017
SEGMENT3D: A Web-based Application for Collaborative Segmentation of 3D images used in the Shoot Apical Meristem
The quantitative analysis of 3D confocal microscopy images of the shoot ...
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10/18/2017
Cell Segmentation in 3D Confocal Images using Supervoxel Merge-Forests with CNN-based Hypothesis Selection
Automated segmentation approaches are crucial to quantitatively analyze ...
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05/29/2013
