In the Danger Zone: U-Net Driven Quantile Regression can Predict High-risk SARS-CoV-2 Regions via Pollutant Particulate Matter and Satellite Imagery

no code implementations • 6 May 2021 • Jacquelyn Shelton, Przemyslaw Polewski, Wei Yao

Since the outbreak of COVID-19 policy makers have been relying upon non-pharmacological interventions to control the outbreak.

regression

Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors

no code implementations • 5 May 2021 • Przemyslaw Polewski, Jacquelyn Shelton, Wei Yao, Marco Heurich

In this paper, we introduce a framework for segmenting instances of a common object class by multiple active contour evolution over semantic segmentation maps of images obtained through fully convolutional networks.

Instance Segmentation Line Segment Detection +1