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EcoVisionETH
Machine Learning for ecological purposes
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Zan Gojcic
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EcoVisionETH
Mar 31, 2021
Overlap is key to a good point cloud alignment.
Aligning 3D point clouds by deep overlap attention.
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10
Jan Dirk Wegner
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EcoVisionETH
Jun 10, 2020
Automating Tree Health Monitoring from Images with Machine Learning
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133
Mehmet Özgür Türkoğlu
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EcoVisionETH
May 8, 2020
Deep Multi-layer RNNs That Can Be Trained
Recurrent Neural Networks (RNNs) have established…
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24
Ahmed Nassar
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EcoVisionETH
Sep 17, 2020
How to Monitor Trees in a City Using Graph Neural Networks?
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79
Nikolai Kalischek
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EcoVisionETH
Jul 7, 2021
Everyone can be an artist — deep learning for Neural Style Transfer and how to improve it.
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24
Priyanka Chaudhary
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EcoVisionETH
Feb 13, 2020
Flood Water Level Estimation from Social Media Using Machine Learning
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77
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Nico Lang
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EcoVisionETH
Aug 14, 2019
Deep learning reconstructs forests in 3D using only satellite images
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50
Daniel Laumer
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EcoVisionETH
Aug 6, 2020
Towards Large-Scale Tree Mortality Studies in Cities with Deep Learning & Street View Images
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59
Riccardo de Lutio
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EcoVisionETH
Jan 10, 2020
Guided Super-Resolution as Pixel-to-Pixel Transformation
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62
Yujia Liu
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EcoVisionETH
Jul 29, 2021
Learning to connect the dots
Reconstruct 3D wireframes from point clouds with PC2WF.
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37
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About
EcoVisionETH
Here we collect stories from our research lab at the frontier of machine learning, computer vision, and remote sensing to solve ecological questions.
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