John E. Vargas-Muñoz

11 papers C 3Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	C	`conf`	Estimating Fine-Grained Population Growth Rates from Coarse Census Data. IGARSS John E. Vargas-Muñoz, Nando Metzger, Rodrigo Caye Daudt, Konrad Schindler, Devis Tuia
2022	J	`jnl`	Fine-grained Population Mapping from Coarse Census Counts and Open Geodata. CoRR Nando Metzger, John E. Vargas-Muñoz, Rodrigo Caye Daudt, Benjamin Kellenberger, Thao Ton-That Whelan, Ferda Ofli, Muhammad Imran, Konrad Schindler, Devis Tuia
2022	C	`conf`	Towards Efficient Correction of Coconut Tree Detection Errors. IGARSS John E. Vargas-Muñoz, Diego Schibli, Devis Tuia
2021	J	`jnl`	Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient. Int. J. Geogr. Inf. Sci. John E. Vargas-Muñoz, Devis Tuia, Alexandre X. Falcão
2021	J	`jnl`	Mapping Vulnerable Populations with AI. CoRR Benjamin Kellenberger, John E. Vargas-Muñoz, Devis Tuia, Rodrigo Caye Daudt, Konrad Schindler, Thao T.-T. Whelan, Brenda Ayo, Ferda Ofli, Muhammad Imran
2020	J	`jnl`	Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient. CoRR John E. Vargas-Muñoz, Devis Tuia, Alexandre X. Falcão
2019	J	`jnl`	Correcting rural building annotations in OpenStreetMap using convolutional neural networks. CoRR John E. Vargas-Muñoz, Sylvain Lobry, Alexandre X. Falcão, Devis Tuia
2019	C	`conf`	Interactive Coconut Tree Annotation Using Feature Space Projections. IGARSS John E. Vargas-Muñoz, Ping Zhou, Alexandre X. Falcão, Devis Tuia
2019	J	`jnl`	Understanding urban landuse from the above and ground perspectives: a deep learning, multimodal solution. CoRR Shivangi Srivastava, John E. Vargas-Muñoz, Devis Tuia
2018	J	`jnl`	An Iterative Spanning Forest Framework for Superpixel Segmentation. CoRR John E. Vargas-Muñoz, Ananda S. Chowdhury, Eduardo Barreto-Alexandre, Felipe L. Galvão, Paulo André Vechiatto Miranda, Alexandre X. Falcão
2018	—	`conf`	Multilabel Building Functions Classification from Ground Pictures using Convolutional Neural Networks. GeoAI@SIGSPATIAL Shivangi Srivastava, John E. Vargas-Muñoz, David Swinkels, Devis Tuia