| Deforestation detection with fully convolutional networks in the amazon forest from landsat-8 and sentinel-2 images DL Torres, JN Turnes, PJ Soto Vega, RQ Feitosa, DE Silva, ... Remote Sensing 13 (24), 5084, 2021 | 47 | 2021 |
| An unsupervised domain adaptation approach for change detection and its application to deforestation mapping in tropical biomes PJS Vega, GAOP da Costa, RQ Feitosa, MXO Adarme, CA de Almeida, ... ISPRS Journal of Photogrammetry and Remote Sensing 181, 113-128, 2021 | 34 | 2021 |
| Atrous cGAN for SAR to optical image translation JN Turnes, JDB Castro, DL Torres, PJS Vega, RQ Feitosa, PN Happ IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 32 | 2020 |
| Evaluation of semantic segmentation methods for deforestation detection in the amazon RB Andrade, G Costa, GLA Mota, MX Ortega, RQ Feitosa, PJ Soto, ... ISPRS Archives; 43, B3 43 (B3), 1497-1505, 2020 | 24 | 2020 |
| Domain adaptation with cyclegan for change detection in the amazon forest PJ Soto, G Costa, RQ Feitosa, PN Happ, MX Ortega, J Noa, CA Almeida, ... ISPRS Archives; 43, B3 43 (B3), 1635-1643, 2020 | 14 | 2020 |
| Domain-adversarial neural networks for deforestation detection in tropical forests PJ Soto, GA Costa, RQ Feitosa, MX Ortega, JD Bermudez, JN Turnes IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 12 | 2022 |
| Single Sample Face Recognition from Video via Stacked Supervised Auto-encoder PJS Vega, RQ Feitosa, VHA Quirita, PN Happ CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES, 29. (SIBGRAPI), 96-103, 2016 | 12 | 2016 |
| Adversarial discriminative domain adaptation for deforestation detection J Noa, PJ Soto, G Costa, D Wittich, RQ Feitosa, F Rottensteiner ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2021 | 7 | 2021 |
| Face likelihood functions for visual tracking in intelligent spaces F Sanabria-Macías, E Maranón-Reyes, P Soto-Vega, M Marrón-Romera, ... IECON 2013-39th Annual Conference of the IEEE Industrial Electronics Society …, 2013 | 6 | 2013 |
| A comparative analysis of unsupervised and semi-supervised representation learning for remote sensing image categorization PJ Soto, JD Bermudez, PN Happ, RQ Feitosa ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2019 | 4 | 2019 |
| Deforestation detection with weak supervised convolutional neural networks in tropical biomes PJ Soto Vega, G Costa, J Bermudez The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2022 | 3 | 2022 |
| A fuzzy inference system for multispectral image classification PJS Vega, VAA Quirita, PM Achanccaray, R Tanscheit, M Vellasco 2016 IEEE ANDESCON, 1-4, 2016 | 3 | 2016 |
| Desafíos del aprendizaje profundo en la visión por computador VHA Quirita, PMA Díaz, SWA Canchumuni, PJS Vega Actas del Congreso Internacional de Ingeniería de Sistemas, 49-53, 2022 | 2 | 2022 |
| DEEP LEARNING-BASED DOMAIN ADAPTATION FOR CHANGE DETECTION IN TROPICAL FORESTS PJS Vega, RQ Feitosa, GAOP Costa PUC-Rio, 2021 | 2 | 2021 |
| Convolutional neural networks for hydrothermal vents substratum classification: An introspective study PJS Vega, P Papadakis, M Matabos, L Van Audenhaege, A Ramiere, ... Ecological Informatics 80, 102535, 2024 | 1 | 2024 |
| Weak Supervised Adversarial Domain Adaptation for Deforestation Detection in Tropical Forests PJS Vega, GAOP da Costa, MXO Adarme, JDB Castro, RQ Feitosa IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 | | 2023 |
| A Debiasing Variational Autoencoder for Deforestation Mapping MX Ortega Adarme, PJ Soto Vega, G Costa, RQ Feitosa, C Heipke The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2023 | | 2023 |
| Weakly Supervised Domain Adversarial Neural Network for Deforestation Detection in Tropical Forests PJS Vega, GAOP da Costa, MXO Adarme, JDB Castro, RQ Feitosa IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2023 | | 2023 |
| Reconhecimento Facial em Vídeo com uma amostra por pessoa utilizando Stacked Supervised Auto-encoder PJS Vega, RQ Feitosa, PN Happ PUC-Rio, 2016 | | 2016 |
Raul Queiroz FeitosaProfessor at Pontifical Catholic University of Rio de Janeiro, Dept Electrical Engineering, Brazil在 ele.puc-rio.br 的电子邮件经过验证
