8 citations · 18 across the 4 of their papers we have counts for
5 papers
AODisaggregation: toward global aerosol vertical profiles
Shahine Bouabid, Duncan Watson-Parris, Sofija Stefanović +2
Aerosol-cloud interactions constitute the largest source of uncertainty in assessments of the anthropogenic climate change. This uncertainty arises in part from the difficulty in m…
Deconditional Downscaling with Gaussian Processes
Siu Lun Chau, Shahine Bouabid, Dino Sejdinovic
Refining low-resolution (LR) spatial fields with high-resolution (HR) information, often known as statistical downscaling, is challenging as the diversity of spatial datasets often…
NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations
Paula Harder, William Jones, Redouane Lguensat +8
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. The gap can be…
Predicting Landsat Reflectance with Deep Generative Fusion
Shahine Bouabid, Maxim Chernetskiy, Maxime Rischard +1
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. T…
Mixup Regularization for Region Proposal based Object Detectors
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 generaliza…