About me

I am a PhD student in the Photogrammetry and Remote Sensing Lab, ETH Zürich My supervisors are Prof. Konrad Schindler and Prof. Devis Tuia.

My research work combines theoretical advancements with practical applications, contributing to fields such as population mapping. As a researcher, I specialize in computer vision and remote sensing, with a focus on super-resolution techniques. I developed POMELO, a system for super-resolving African population census data and have also innovatively combined deep learning with anisotropic diffusion to enhance monocular depth images. In my earlier works, I employed neural ordinary differential equations to model the satellite time series for crop classification.

Download my CV here.

Education

  1. ETH Zürich

    Sep. 2021 - present

    PhD student at the Photogrammetry and Remote Sensing Lab, ETH Zürich

  2. ETH Zürich

    2016 - 2021

    Bachelor's and Master's degree in Geomatics

What i'm doing

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    Interests

    Computer Vision
    Guided Super-Resolution
    Population Mapping
    Time Series Analysis

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    Leisure

    Photography
    Hiking
    Floorball
    Running

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Publications

  • Guided Depth Super-Resolution by Deep Anisotropic Diffusion
    Nando Metzger, Rodrigo Caye Daudt, Konrad Schindler
    CVPR 2023
    paper

  • Fine-grained Population Mapping from Coarse Census Counts and Open Geodata
    Nando Metzger, John E Vargas-Muñoz, Rodrigo Caye Daudt, Benjamin Kellenberger, Thao Ton-That Whelan, Ferda Ofli, Muhammad Imran, Konrad Schindler, Devis Tuia
    Scientific Reports - Nature
    paper

  • Forecasting Urban Development from Satellite Images
    Nando Metzger
    Wissenschaftlich-Technische Jahrestagung der DGPF, 2022
    1st Price at the Karl-Kraus Award paper

  • Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations
    Nando Metzger, Mehmet Ozgur Turkoglu, Stefano D’Aronco, Jan Dirk Wegner, Konrad Schindler IEEE TGRS 2021
    paper

  • DSM Refinement with Deep Encoder-Decoder Networks
    Nando Metzger
    Wissenschaftlich-​Technische Jahrestagung der DGPF, 2020
    3rd Price at the Karl-Kraus Award paper

Project

Publication

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