MPG ETH CLS Student Projects


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Using machine learning to detect and predict changes of land use from aerial imagery

The ability to understand the evolution of land use (e.g. construction, change of land type) is crucial in fields such as urban planning, agriculture, natural resources management, and even autonomous flight. We will develop a Bayesian Recurrent Neural Network approach.

Bayesian Deep Learning Recurrent Neural Networks Remote Sensing Agriculture Environmental Sciences Computer Vision

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Image - Semantics Consistency

In this project we will exploit generative models (e.g. GANs) to provide introspection to semantic segmentation networks in open-world settings as faced by mobile robots.

Deep Learning Generative models Semantic Segmentation Robotics Scene Understanding

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Machine Learning-based Lake Ice Monitoring using UAVs

This thesis will focus on an inter-disciplinary (intersection of artificial intelligence and climate change) research topic. This work is part of the project “Integrated lake ice monitoring and generation of sustainable, reliable, long time series”.

Lake Ice Detection Few-Shot Learning Deep Learning Random Forests Remote Sensing Computer Vision Image Analysis Climate Change Drone Image Processing UAV

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Machine Learning-based Lake Ice Detection from Space

This thesis will focus on an inter-disciplinary (intersection of artificial intelligence and climate change) research topic. This work is part of the project “Integrated lake ice monitoring and generation of sustainable, reliable, long time series”.

Lake Ice Detection Few-Shot Learning Deep Learning Remote Sensing Computer Vision Satellite Image Analysis Climate Change NASA Landsat 8 ESA Sentinel 2

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