156 citations · 230 across the 10 of their papers we have counts for
4 papers · 1 filter
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…
PanNuke Dataset Extension, Insights and Baselines
Jevgenij Gamper, Navid Alemi Koohbanani, Ksenija Benes +6
The emerging area of computational pathology (CPath) is ripe ground for the application of deep learning (DL) methods to healthcare due to the sheer volume of raw pixel data in who…
Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images
Jevgenij Gamper, Brandon Chan, Yee Wah Tsang +2
To train a robust deep learning model, one usually needs a balanced set of categories in the training data. The data acquired in a medical domain, however, frequently contains an a…
Conditional Denoising of Remote Sensing Imagery Using Cycle-Consistent Deep Generative Models
Michael Zotov, Jevgenij Gamper
The potential of using remote sensing imagery for environmental modelling and for providing real time support to humanitarian operations such as hurricane relief efforts is well es…