John E. Vargas-Muñoz
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Behavior knowledge space-based fusion for copy–move forgery detection
A Ferreira, SC Felipussi, C Alfaro, P Fonseca, JE Vargas-Munoz, ...
IEEE Transactions on Image Processing 25 (10), 4729-4742, 2016
Understanding urban landuse from the above and ground perspectives: A deep learning, multimodal solution
S Srivastava, JE Vargas-Munoz, D Tuia
Remote sensing of environment 228, 129-143, 2019
An iterative spanning forest framework for superpixel segmentation
JE Vargas-Muñoz, AS Chowdhury, EB Alexandre, FL Galvão, ...
IEEE Transactions on Image Processing 28 (7), 3477-3489, 2019
Correcting rural building annotations in OpenStreetMap using convolutional neural networks
JE Vargas-Muñoz, S Lobry, AX Falcão, D Tuia
ISPRS journal of photogrammetry and remote sensing 147, 283-293, 2019
Fine-grained landuse characterization using ground-based pictures: a deep learning solution based on globally available data
S Srivastava, JE Vargas Munoz, S Lobry, D Tuia
International Journal of Geographical Information Science 34 (6), 1117-1136, 2020
Superpixel-based interactive classification of very high resolution images
JE Vargas, PTM Saito, AX Falcao, PJ De Rezende, JA Dos Santos
2014 27th SIBGRAPI Conference on Graphics, Patterns and Images, 173-179, 2014
Contextual superpixel description for remote sensing image classification
JE Vargas, AX Falcão, JA dos Santos, JCDM Esquerdo, AC Coutinho, ...
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015
Diagnosis of human intestinal parasites by deep learning
AZ Peixinho, SB Martins, JE Vargas, AX Falcao, JF Gomes, CTN Suzuki
Computational Vision and Medical Image Processing V: Proceedings of the 5th …, 2015
OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing
JEV Munoz, S Srivastava, D Tuia, AX Falcao
IEEE Geoscience and Remote Sensing Magazine, 2020
Land-use characterisation using Google Street View pictures and OpenStreetMap
S Srivastava, S Lobry, D Tuia, JV Munoz
Multilabel building functions classification from ground pictures using convolutional neural networks
S Srivastava, JE Vargas-Muñoz, D Swinkels, D Tuia
Proceedings of the 2nd ACM SIGSPATIAL international workshop on AI for …, 2018
Correcting misaligned rural building annotations in open street map using convolutional neural networks evidence
JE Vargas-Munoz, D Marcos, S Lobry, JA dos Santos, AX Falcao, D Tuia
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
Interactive coconut tree annotation using feature space projections
JE Vargas-Muñoz, P Zhou, AX Falcão, D Tuia
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient
JE Vargas Munoz, D Tuia, AX Falcão
International Journal of Geographical Information Science 35 (9), 1725-1745, 2021
Towards accurate building recognition using convolutional neural networks
JD Farfan-Escobedo, L Enciso-Rodas, JE Vargas-Munoz
2017 IEEE XXIV International Conference on Electronics, Electrical …, 2017
Mapping Vulnerable Populations with AI
B Kellenberger, JE Vargas-Muñoz, D Tuia, RC Daudt, K Schindler, ...
arXiv preprint arXiv:2107.14123, 2021
Machine learning applied to open geographical data: Aprendizado de máquina aplicado a dados geográficos abertos
JE Vargas Muñoz
[sn], 2019
Deep learning based methods for building segmentation from remote sensing data
S Lobry, DM Gonzalez, JV Munoz, BA Kellenberger, S Srivastava, D Tuia
Post classification smoothing in sub-decimeter resolution images with semi-supervised label propagation
JE Vargas-Munoz, D Tuia, JA Dos Santos, AX Falcão
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017
Contextual superpixel-based active learning for remote sensing image classification= Aprendizado ativo baseado em atributos contextuais de superpixel para classificação de …
JE Vargas Muñoz
[sn], 2015
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