Przemyslaw Polewski

According to our database, Przemyslaw Polewski authored at least 8 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Segmenting objects with Bayesian fusion of active contour models and convnet priors.

Przemyslaw Polewski, Jacquelyn Shelton, Wei Yao, Marco Heurich

CoRR, 2024

2021

A hybrid convolutional neural network/active contour approach to segmenting dead trees in aerial imagery.

Jacquelyn A. Shelton, Przemyslaw Polewski, Wei Yao, Marco Heurich

CoRR, 2021

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

CoRR, 2021

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, Marco Heurich

CoRR, 2021

2020

U-net for learning and inference of dense representation of multiple air pollutants from satellite imagery.

Jacquelyn Shelton, Przemyslaw Polewski, Wei Yao

Proceedings of the CI 2020: 10th International Conference on Climate Informatics, 2020

2018

Mapping Individual Tree Species and Vitality along Urban Road Corridors with LiDAR and Imaging Sensors: Point Density versus View Perspective.

Jianwei Wu, Wei Yao, Przemyslaw Polewski

Remote. Sens., 2018

2016

Combining Active and Semisupervised Learning of Remote Sensing Data Within a Renyi Entropy Regularization Framework.

Przemyslaw Polewski, Wei Yao, Marco Heurich, Peter Krzystek, Uwe Stilla

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

2015

Active learning approach to detecting standing dead trees from ALS point clouds combined with aerial infrared imagery.

Przemyslaw Polewski, Wei Yao, Marco Heurich, Peter Krzystek, Uwe Stilla

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015