15 citations · 16 across the 7 of their papers we have counts for
4 papers · 1 filter
Bayesian Fusion of Active Contour Models and ConvNet Priors for Standing Dead Tree Segmentation
Przemyslaw Polewski, Jacquelyn Shelton, Wei Yao +1
Instance segmentation is a core computer vision task with great practical significance. Recent advances, driven by large-scale benchmark datasets, have yielded good general-purpose…
A hybrid convolutional neural network/active contour approach to segmenting dead trees in aerial imagery
Jacquelyn A. Shelton, Przemyslaw Polewski, Wei Yao +1
The stability and ability of an ecosystem to withstand climate change is directly linked to its biodiversity. Dead trees are a key indicator of overall forest health, housing one-t…
In the Danger Zone: U-Net Driven Quantile Regression can Predict High-risk SARS-CoV-2 Regions via Pollutant Particulate Matter and Satellite Imagery
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. With air pollution as a potential transmission vector…
Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors
Przemyslaw Polewski, Jacquelyn Shelton, Wei Yao +1
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 th…