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John E. Vargas-Muñoz
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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
1312019
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
1212020
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
852019
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
812020
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
802016
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
642019
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
292018
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
262015
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
232015
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
232014
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
182021
Interactive coconut tree annotation using feature space projections
JE Vargas-Muñoz, P Zhou, AX Falcao, D Tuia
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
132019
Fine-grained population mapping from coarse census counts and open geodata
N Metzger, JE Vargas-Muñoz, RC Daudt, B Kellenberger, TTT Whelan, ...
Scientific Reports 12 (1), 20085, 2022
122022
Towards accurate building recognition using convolutional neural networks
JD Farfan-Escobedo, L Enciso-Rodas, JE Vargas-Muñoz
2017 IEEE XXIV International Conference on Electronics, Electrical …, 2017
92017
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
82018
Mapping vulnerable populations with AI
B Kellenberger, JE Vargas-Munoz, D Tuia, RC Daudt, K Schindler, ...
arXiv preprint arXiv:2107.14123, 2021
52021
Fine-grained population mapping using coarse census data and satellite imagery
JE Vargas-Munoz, N Metzger, RC Daudt, B Kellenberger, TTT Whelan, ...
22022
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
12017
Towards Efficient Correction of Coconut Tree Detection Errors
JE Vargas-Muñoz, D Schibli, D Tuia
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
2022
Data and code of the paper" Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient" submitted to IJGIS
J Vargas Munoz, D Tuia, AX Falcão
2020
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