Search Results for author: Shahine Bouabid

Found 5 papers, 4 papers with code

AODisaggregation: toward global aerosol vertical profiles

1 code implementation6 May 2022 Shahine Bouabid, Duncan Watson-Parris, Sofija Stefanović, Athanasios Nenes, Dino Sejdinovic

In this work, we develop a framework for the vertical disaggregation of AOD into extinction profiles, i. e. the measure of light extinction throughout an atmospheric column, using readily available vertically resolved meteorological predictors such as temperature, pressure or relative humidity.

Deconditional Downscaling with Gaussian Processes

1 code implementation NeurIPS 2021 Siu Lun Chau, Shahine Bouabid, Dino Sejdinovic

Yet, when LR samples are modeled as aggregate conditional means of HR samples with respect to a mediating variable that is globally observed, the recovery of the underlying fine-grained field can be framed as taking an "inverse" of the conditional expectation, namely a deconditioning problem.

Gaussian Processes

NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations

1 code implementation13 Nov 2020 Paula Harder, William Jones, Redouane Lguensat, Shahine Bouabid, James Fulton, Dánell Quesada-Chacón, Aris Marcolongo, Sofija Stefanović, Yuhan Rao, Peter Manshausen, Duncan Watson-Parris

The recent explosion in applications of machine learning to satellite imagery often rely on visible images and therefore suffer from a lack of data during the night.

SSIM

Predicting Landsat Reflectance with Deep Generative Fusion

1 code implementation9 Nov 2020 Shahine Bouabid, Maxim Chernetskiy, Maxime Rischard, Jevgenij Gamper

Public satellite missions are commonly bound to a trade-off between spatial and temporal resolution as no single sensor provides fine-grained acquisitions with frequent coverage.

Humanitarian Time Series

Mixup Regularization for Region Proposal based Object Detectors

no code implementations4 Mar 2020 Shahine Bouabid, Vincent Delaitre

Mixup - a neural network regularization technique based on linear interpolation of labeled sample pairs - has stood out by its capacity to improve model's robustness and generalizability through a surprisingly simple formalism.

Object Detection Region Proposal

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