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Guilherme Potje
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Autonomous aeromagnetic surveys using a fluxgate magnetometer
DG Macharet, HIA Perez-Imaz, PAF Rezeck, GA Potje, LCC Benyosef, ...
Sensors 16 (12), 2169, 2016
452016
Towards semi-autonomous robotic inspection and mapping in confined spaces with the EspeleoRobô
H Azpúrua, A Rezende, G Potje, GPC Júnior, R Fernandes, V Miranda, ...
Journal of Intelligent & Robotic Systems 101, 1-27, 2021
362021
GEOBIT: A geodesic-based binary descriptor invariant to non-rigid deformations for RGB-D images
ER Nascimento, G Potje, R Martins, F Cadar, MFM Campos, R Bajcsy
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
112019
Extracting deformation-aware local features by learning to deform
G Potje, R Martins, F Chamone, E Nascimento
Advances in Neural Information Processing Systems 34, 10759-10771, 2021
92021
Towards an efficient 3D model estimation methodology for aerial and ground images
G Potje, G Resende, M Campos, ER Nascimento
Machine Vision and Applications 28, 937-952, 2017
82017
Learning geodesic-aware local features from RGB-D images
G Potje, R Martins, F Cadar, ER Nascimento
Computer Vision and Image Understanding 219, 103409, 2022
62022
Cooperative digital magnetic‐elevation maps by small autonomous aerial robots
H Azpúrua, GA Potje, PAF Rezeck, GM Freitas, LG Uzeda Garcia, ...
Journal of Field Robotics 36 (8), 1378-1398, 2019
42019
Enhancing deformable local features by jointly learning to detect and describe keypoints
G Potje, F Cadar, A Araujo, R Martins, ER Nascimento
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
32023
Learning to detect good keypoints to match non-rigid objects in rgb images
W Melo, G Potje, F Cadar, R Martins, ER Nascimento
2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) 1 …, 2022
32022
Improving the matching of deformable objects by learning to detect keypoints
F Cadar, W Melo, V Kanagasabapathi, G Potje, R Martins, ER Nascimento
Pattern Recognition Letters 175, 83-89, 2023
12023
On the improvement of three-dimensional reconstruction from large datasets
G Potje, MFM Campos, ER Nascimento
Universidade Federal de Minas Gerais, 2016
2016
SUPPLEMENTARY MATERIAL: Extracting Deformation-Aware Local Features by Learning to Deform
G Potje, R Martins, F Cadar, ER Nascimento
Mario FM Campos1, and Ruzena Bajcsy3 1Universidade Federal de Minas Gerais (UFMG) 2INRIA 3University of California Berkeley
ER Nascimento, G Potje, R Martins, F Cadar
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Articles 1–13