Felipe Belém

Orcid: 0000-0002-6037-5977

According to our database1, Felipe Belém authored at least 13 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Novel Arc-Cost Functions and Seed Relevance Estimations for Compact and Accurate Superpixels.
J. Math. Imaging Vis., October, 2023

Superpixel Segmentation: From Theory to Applications.
Proceedings of the 36th SIBGRAPI Conference on Graphics, Patterns and Images, 2023

Streaming Graph-Based Supervoxel Computation Based on Dynamic Iterative Spanning Forest.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

2022
Efficient Multiscale Object-based Superpixel Framework.
CoRR, 2022

Improving color homogeneity measure in superpixel segmentation assessment.
Proceedings of the 35th SIBGRAPI Conference on Graphics, Patterns and Images, 2022

Fast and Effective Superpixel Segmentation Using Accurate Saliency Estimation.
Proceedings of the Discrete Geometry and Mathematical Morphology, 2022

2021
Towards a Simple and Efficient Object-based Superpixel Delineation Framework.
Proceedings of the 34th SIBGRAPI Conference on Graphics, Patterns and Images, 2021

Towards Interactive Image Segmentation by Dynamic and Iterative Spanning Forest.
Proceedings of the Discrete Geometry and Mathematical Morphology, 2021

Graph-Based Supervoxel Computation from Iterative Spanning Forest.
Proceedings of the Discrete Geometry and Mathematical Morphology, 2021

2020
Superpixel Segmentation Using Dynamic and Iterative Spanning Forest.
IEEE Signal Process. Lett., 2020

ITSELF: Iterative Saliency Estimation fLexible Framework.
CoRR, 2020

2019
The Importance of Object-Based Seed Sampling for Superpixel Segmentation.
Proceedings of the 32nd SIBGRAPI Conference on Graphics, Patterns and Images, 2019

2018
Superpixel Segmentation by Object-Based Iterative Spanning Forest.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018


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