Autonomous Aeromagnetic Surveys Using a Fluxgate Magnetometer. - Douglas G. Macharet; Hector I. A. Perez-Imaz; Paulo A. F. Rezeck; Guilherme A. Potje; Luiz C. C. Benyosef; André Wiermann; Gustavo Medeiros Freitas; Luis Guilherme Uzeda Garcia; Mario F. M. Campos (Sensors, 2016)

Towards an efficient 3D model estimation methodology for aerial and ground images. - Guilherme A. Potje; Gabriel Resende; Mario F. M. Campos; Erickson R. Nascimento (Mach. Vis. Appl., 2017)

GEOBIT: A Geodesic-Based Binary Descriptor Invariant to Non-Rigid Deformations for RGB-D Images. - Erickson Rangel do Nascimento; Guilherme A. Potje; Renato Martins; Felipe C. Chamone; Mario F. M. Campos; Ruzena Bajcsy (ICCV, 2019)

Cooperative digital magnetic-elevation maps by small autonomous aerial robots. - Héctor Azpúrua; Guilherme A. Potje; Paulo A. F. Rezeck; Gustavo Medeiros Freitas; Luis Guilherme Uzeda Garcia; Erickson R. Nascimento; Douglas G. Macharet; Mario F. M. Campos (J. Field Robotics, 2019)

Extracting Deformation-Aware Local Features by Learning to Deform. - Guilherme A. Potje; Renato Martins; Felipe C. Chamone; Erickson R. Nascimento (NeurIPS, 2021)

Towards Semi-autonomous Robotic Inspection and Mapping in Confined Spaces with the EspeleoRobô. - Héctor Azpúrua; Adriano M. C. Rezende; Guilherme A. Potje; Gilmar Pereira da Cruz Júnior; Rafael Fernandes; Victor R. F. Miranda; Levi Welington de Resende Filho; Jacó Domingues; Filipe Rocha; Frederico Luiz Martins de Sousa; Luiz Guilherme Dias de Barros; Erickson R. Nascimento; et al. (J. Intell. Robotic Syst., 2021)

Leveraging Semantic Cues from Foundation Vision Models for Enhanced Local Feature Correspondence. - Felipe Cadar; Guilherme A. Potje; Renato Martins; Cédric Demonceaux; Erickson R. Nascimento (ACCV (4), 2022)

Learning to Detect Good Keypoints to Match Non-Rigid Objects in RGB Images. - Welerson Melo; Guilherme A. Potje; Felipe Cadar; Renato Martins; Erickson R. Nascimento (SIBGRAPI, 2022)

Learning geodesic-aware local features from RGB-D images. - Guilherme A. Potje; Renato Martins; Felipe Cadar; Erickson R. Nascimento (Comput. Vis. Image Underst., 2022)

Enhancing Deformable Local Features by Jointly Learning to Detect and Describe Keypoints. - Guilherme A. Potje; Felipe Cadar; André Araújo 001; Renato Martins; Erickson R. Nascimento (CVPR, 2023)

Improving the matching of deformable objects by learning to detect keypoints. - Felipe Cadar; Welerson Melo; Vaishnavi Kanagasabapathi; Guilherme A. Potje; Renato Martins; Erickson R. Nascimento (Pattern Recognit. Lett., 2023)

XFeat: Accelerated Features for Lightweight Image Matching. - Guilherme A. Potje; Felipe Cadar; André Araújo 001; Renato Martins; Erickson R. Nascimento (CVPR, 2024)