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Przemyslaw Polewski
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2020 – today
- 2024
- [i4]Przemyslaw Polewski, Jacquelyn Shelton, Wei Yao, Marco Heurich:
Segmenting objects with Bayesian fusion of active contour models and convnet priors. CoRR abs/2410.07421 (2024) - 2021
- [i3]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 abs/2105.01998 (2021) - [i2]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 abs/2105.02406 (2021) - [i1]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 abs/2112.02725 (2021) - 2020
- [c2]Jacquelyn Shelton, Przemyslaw Polewski, Wei Yao:
U-net for learning and inference of dense representation of multiple air pollutants from satellite imagery. CI 2020: 128-133
2010 – 2019
- 2018
- [j2]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): 1403 (2018) - 2016
- [j1]Przemyslaw Polewski, Wei Yao
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): 2910-2922 (2016) - 2015
- [c1]Przemyslaw Polewski, Wei Yao
Active learning approach to detecting standing dead trees from ALS point clouds combined with aerial infrared imagery. CVPR Workshops 2015: 10-18
Coauthor Index
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