Przemyslaw Polewski

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 7

Top Topics

Quantile Regression

Semisupervised Learning

Top Venues

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

Publications

Przemyslaw Polewski, Jacquelyn Shelton, Wei Yao, Marco Heurich
Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors. CoRR (2021)
Jacquelyn Shelton, Przemyslaw Polewski, Wei Yao
In the Danger Zone: U-Net Driven Quantile Regression can Predict High-risk SARS-CoV-2 Regions via Pollutant Particulate Matter and Satellite Imagery. CoRR (2021)
Jacquelyn A. Shelton, Przemyslaw Polewski, Wei Yao, Marco Heurich
A hybrid convolutional neural network/active contour approach to segmenting dead trees in aerial imagery. CoRR (2021)
Jacquelyn Shelton, Przemyslaw Polewski, Wei Yao
U-net for learning and inference of dense representation of multiple air pollutants from satellite imagery. CI (2020)
Jianwei Wu, Wei Yao, Przemyslaw Polewski
Mapping Individual Tree Species and Vitality along Urban Road Corridors with LiDAR and Imaging Sensors: Point Density versus View Perspective. Remote. Sens. 10 (9) (2018)
Przemyslaw Polewski, Wei Yao, Marco Heurich, Peter Krzystek, Uwe Stilla
Combining Active and Semisupervised Learning of Remote Sensing Data Within a Renyi Entropy Regularization Framework. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9 (7) (2016)
Przemyslaw Polewski, Wei Yao, Marco Heurich, Peter Krzystek, Uwe Stilla
Active learning approach to detecting standing dead trees from ALS point clouds combined with aerial infrared imagery. CVPR Workshops (2015)