15 citations · 16 across the 7 of their papers we have counts for
7 papers
Latent-Constrained Conditional VAEs for Augmenting Large-Scale Climate Ensembles
Jacquelyn Shelton, Przemyslaw Polewski, Alexander Robel +2
Large climate-model ensembles are computationally expensive; yet many downstream analyses would benefit from additional, statistically consistent realizations of spatiotemporal cli…
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…
GP-select: Accelerating EM using adaptive subspace preselection
Jacquelyn A. Shelton, Jan Gasthaus, Zhenwen Dai +2
We propose a nonparametric procedure to achieve fast inference in generative graphical models when the number of latent states is very large. The approach is based on iterative lat…
A Truncated EM Approach for Spike-and-Slab Sparse Coding
Abdul-Saboor Sheikh, Jacquelyn A. Shelton, Jörg Lücke
We study inference and learning based on a sparse coding model with `spike-and-slab' prior. As in standard sparse coding, the model used assumes independent latent sources that lin…