Alert button
Picture for Devis Tuia

Devis Tuia

Alert button

A deep network approach to multitemporal cloud detection

Dec 09, 2020
Devis Tuia, Benjamin Kellenberger, Adrian Pérez-Suay, Gustau Camps-Valls

Figure 1 for A deep network approach to multitemporal cloud detection
Figure 2 for A deep network approach to multitemporal cloud detection
Figure 3 for A deep network approach to multitemporal cloud detection
Figure 4 for A deep network approach to multitemporal cloud detection
Viaarxiv icon

Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization

Dec 07, 2020
Devis Tuia, Diego Marcos, Gustau Camps-Valls

Figure 1 for Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization
Figure 2 for Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization
Figure 3 for Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization
Figure 4 for Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization
Viaarxiv icon

Contextual Semantic Interpretability

Sep 18, 2020
Diego Marcos, Ruth Fong, Sylvain Lobry, Remi Flamary, Nicolas Courty, Devis Tuia

Figure 1 for Contextual Semantic Interpretability
Figure 2 for Contextual Semantic Interpretability
Figure 3 for Contextual Semantic Interpretability
Figure 4 for Contextual Semantic Interpretability
Viaarxiv icon

Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient

Sep 17, 2020
John E. Vargas-Muñoz, Devis Tuia, Alexandre X. Falcão

Figure 1 for Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient
Figure 2 for Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient
Figure 3 for Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient
Figure 4 for Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient
Viaarxiv icon

OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing

Jul 13, 2020
John Vargas, Shivangi Srivastava, Devis Tuia, Alexandre Falcao

Figure 1 for OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing
Figure 2 for OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing
Figure 3 for OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing
Figure 4 for OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing
Viaarxiv icon

Detecting Unsigned Physical Road Incidents from Driver-View Images

Apr 24, 2020
Alex Levering, Martin Tomko, Devis Tuia, Kourosh Khoshelham

Figure 1 for Detecting Unsigned Physical Road Incidents from Driver-View Images
Figure 2 for Detecting Unsigned Physical Road Incidents from Driver-View Images
Figure 3 for Detecting Unsigned Physical Road Incidents from Driver-View Images
Figure 4 for Detecting Unsigned Physical Road Incidents from Driver-View Images
Viaarxiv icon

RSVQA: Visual Question Answering for Remote Sensing Data

Mar 16, 2020
Sylvain Lobry, Diego Marcos, Jesse Murray, Devis Tuia

Figure 1 for RSVQA: Visual Question Answering for Remote Sensing Data
Figure 2 for RSVQA: Visual Question Answering for Remote Sensing Data
Figure 3 for RSVQA: Visual Question Answering for Remote Sensing Data
Figure 4 for RSVQA: Visual Question Answering for Remote Sensing Data
Viaarxiv icon

Semantically Interpretable Activation Maps: what-where-how explanations within CNNs

Sep 18, 2019
Diego Marcos, Sylvain Lobry, Devis Tuia

Figure 1 for Semantically Interpretable Activation Maps: what-where-how explanations within CNNs
Figure 2 for Semantically Interpretable Activation Maps: what-where-how explanations within CNNs
Figure 3 for Semantically Interpretable Activation Maps: what-where-how explanations within CNNs
Figure 4 for Semantically Interpretable Activation Maps: what-where-how explanations within CNNs
Viaarxiv icon

Adaptive Compression-based Lifelong Learning

Jul 23, 2019
Shivangi Srivastava, Maxim Berman, Matthew B. Blaschko, Devis Tuia

Figure 1 for Adaptive Compression-based Lifelong Learning
Figure 2 for Adaptive Compression-based Lifelong Learning
Figure 3 for Adaptive Compression-based Lifelong Learning
Figure 4 for Adaptive Compression-based Lifelong Learning
Viaarxiv icon

Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active Learning

Jul 17, 2019
Benjamin Kellenberger, Diego Marcos, Sylvain Lobry, Devis Tuia

Figure 1 for Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active Learning
Figure 2 for Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active Learning
Figure 3 for Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active Learning
Figure 4 for Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active Learning
Viaarxiv icon