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Igor P. Maurell
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2020 – today
- 2024
- [c5]Igor P. Maurell, Pedro L. Corçaque, Cris L. Froes, João Francisco S. S. Lemos, Felipe G. Oliveira, Paulo L. J. Drews-Jr:
Geometric Deep Learning in Industrial Scenes: A Large-Scale 3D Synthetic Dataset. ICPR (19) 2024: 1-19 - 2023
- [c4]Matheus Machado dos Santos, Pedro M. Pinheiro, Igor P. Maurell, Luciane B. Soares, Je Nam Jun Junior, Pedro E. Nunes, Eduardo Augusto D. Evangelista, Vinicius V. Maurente, Cedenir B. Costa, Eduardo N. Borges, Eder Mateus Nunes Gonçalves, Marcelo Pias, Nelson Duarte Filho, Vitor Gervini, Paulo Drews Jr., Silvia S. C. Botelho:
Unmanned Aerial Systems for Indoor Inspection in Industrial Sites: System Architecture, Sensors, and Simulation Techniques. LARS/SBR/WRE 2023: 101-106 - [c3]Luciane B. Soares, Eduardo Augusto D. Evangelista, Vinicius V. Maurente, Matheus Machado dos Santos, Igor P. Maurell, Marcelo Pias, Paulo Drews Jr., Silvia S. C. Botelho:
Segmentation and Removal of Markings in Metal Inspection Images. SIBGRAPI 2023: 133-138 - 2021
- [j1]Paulo Drews Jr., Isadora de Souza, Igor P. Maurell, Églen Protas, Silvia S. C. Botelho:
Underwater image segmentation in the wild using deep learning. J. Braz. Comput. Soc. 27(1): 12 (2021) - [c2]Igor P. Maurell, Caue Ferreira, Carlos A. Eguti, Paulo Drews Jr.:
Geometric Primitive Fitting in Large Structure 3D Point Clouds Acquired by Drones. LARS/SBR/WRE 2021: 108-113 - 2020
- [c1]Rafael R. Teixeira, Igor P. Maurell, Paulo L. J. Drews-Jr:
Security on ROS: analyzing and exploiting vulnerabilities of ROS-based systems. LARS/SBR/WRE 2020: 1-6
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last updated on 2024-12-13 19:10 CET by the dblp team
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