Marcondes R. da Silva

Orcid: 0000-0003-0359-6113

Affiliations:
  • Federal University of Pernambuco, Recife, Brazil


According to our database1, Marcondes R. da Silva authored at least 11 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
Robotics and Computer Vision in the Brazilian Electoral Context: A Case Study.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Automated computation of cutting paths for unit-dose repackaging of pharmaceutical blister packs.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

Detection and manipulation of test tubes in the pre-analytical phase of the laboratory sector.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023
IncludeVote: Development of an Assistive Technology Based on Computer Vision and Robotics for Application in the Brazilian Electoral Context.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Automatic Robotic Arm Calibration for the Integrity Test of Voting Machines in the Brazillian 2022's Election Context.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Image Quality Assessment in the Context of the Brazilian Electoral System.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Automating the audit of the Brazilian electronic ballot operation: A new dataset for 6DoF pose estimation of the voter terminal based on domain randomization.
Proceedings of the 25th Symposium on Virtual and Augmented Reality, 2023

Visual Place Recognition Under a High-Dimensional Subspace Clustering Perspective.
Proceedings of the Latin American Robotics Symposium, 2023

OCRs for Extracting Characters from Ballots in the Process of Automating the Integrity Test in the Brazilian Elections.
Proceedings of the Future Technologies Conference, 2023

2022
Subspace Clustering Multi-module Self-organizing Maps with Two-Stage Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021
Spatio-temporal Data Association for Object-augmented Mapping.
J. Intell. Robotic Syst., 2021


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