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Kelvins Day

11 September 2019
ESTEC
Europe/Amsterdam timezone

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Contribution List

14 out of 14 displayed
  1. 1. Kelvins Day Welcome note: Challenges in Space
    Marcus Märtens (ESA), Dario Izzo (ACT)
    11/09/2019, 09:30

    Official opening of the Kelvins day.

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  2. 3. Satellite Pose Estimation Challenge: Analysis and Results
    Mate Kisantal (ESA Advanced Concepts Team)
    11/09/2019, 09:50
  3. 2. High-Fidelity Validation and Training of Advanced Distributed Space Systems
    Jeff Park (Stanford University)
    11/09/2019, 10:10
  4. 4. Proba-V Super-resolution: Analysis and Results
    Marcus Märtens
    11/09/2019, 11:00
  5. 13. Proba-V: Mission and Spacecraft Overview
    Stefano Santandrea (ESA)
    11/09/2019, 11:15
  6. 5. The Vegetation Instrument: a miniaturized high performance payload for daily global vegetation monitoring - a design overview
    Jorg Versluys
    11/09/2019, 11:30
  7. 6. The Proba-V operational processing system, serving daily updates on global vegetation
    Stefan Livens (VITO)
    11/09/2019, 11:45
  8. 7. Deep learning and Unreal Engine for Spacecraft Pose Estimation (3rd place)
    Pedro F. Proença (Surrey Space Centre)
    11/09/2019, 13:00
  9. 8. Segmentation-driven Satellite Pose Estimation (2nd place)
    Kyle Gerard (EPFL)
    11/09/2019, 13:25
  10. 9. Combining Machine Learning and Geometric Optimisation to solve Pose Estimation (1st place)
    Tat-Jun Chin (University of Adelaide)
    11/09/2019, 13:50
  11. 14. ESRGAN approach for earth imaging super resolution
    Alexander Aroyo (Italian Institute of Technology), Elisa Maiettini (Italian Institute of Technology)
    11/09/2019, 14:45
  12. 10. Proba-V: A Short Summary of my Odyssey (3rd place)
    Matteo Taccola (European Space Agency)
    11/09/2019, 15:00
  13. 11. HighRes-net: Deep MFSR by recursive fusion (2nd place)
    Michel Deudon (Element AI), Zhichao Lin (Element AI), Freddie Kalaitzis (Element AI)
    11/09/2019, 15:25
  14. 12. DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (1st place)
    Andrea Bordone Molini (Politecnico di Torino)
    11/09/2019, 15:50