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09/20/2023
Self-supervised learning unveils change in urban housing from street-level images
Cities around the world face a critical shortage of affordable and decen...
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05/23/2022
What You See is What You Classify: Black Box Attributions
An important step towards explaining deep image classifiers lies in the ...
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03/28/2022
Using Machine Learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan Region
Crop maps are crucial for agricultural monitoring and food management an...
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04/15/2021
Semisupervised Manifold Alignment of Multimodal Remote Sensing Images
We introduce a method for manifold alignment of different modalities (or...
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04/15/2021
A survey of active learning algorithms for supervised remote sensing image classification
Defining an efficient training set is one of the most delicate phases fo...
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08/24/2018
Decision fusion with multiple spatial supports by conditional random fields
Classification of remotely sensed images into land cover or land use is ...
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08/23/2018
Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images
When approaching the semantic segmentation of overhead imagery in the de...
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03/16/2018
Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models
In remote sensing images, the absolute orientation of objects is arbitra...
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09/06/2017
Detecting animals in African Savanna with UAVs and the crowds
Unmanned aerial vehicles (UAVs) offer new opportunities for wildlife mon...
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12/29/2016
Rotation equivariant vector field networks
In many computer vision tasks, we expect a particular behavior of the ou...
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08/02/2016
Dense semantic labeling of sub-decimeter resolution images with convolutional neural networks
Semantic labeling (or pixel-level land-cover classification) in ultra-hi...
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04/22/2016
