Search Results for author:
Found 3 papers, 0 papers with code
Population Transformer: Learning Population-level Representations of Intracranial Activity
We present a self-supervised framework that learns population-level codes for intracranial neural recordings at scale, unlocking the benefits of representation learning for a key neuroscience recording modality.
Semantics from Space: Satellite-Guided Thermal Semantic Segmentation Annotation for Aerial Field Robots
We present a new method to automatically generate semantic segmentation annotations for thermal imagery captured from an aerial vehicle by utilizing satellite-derived data products alongside onboard global positioning and attitude estimates.
GNSS Radio Occultation on Aerial Platforms with Commercial Off-The-Shelf Receivers
In recent decades, GNSS Radio Occultation soundings have proven an invaluable input to global weather forecasting.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
