TU1.R8: Big Machine Learning III |
Session Type: Oral
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Time: Tuesday, July 24, 08:30 - 10:10
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Location: Room 4F
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Session Chair: Devis Tuia, Wageningen
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08:30 - 08:50 |
TU1.R8.1: EARTH SCIENCE DEEP LEARNING: APPLICATIONS AND LESSONS LEARNED
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Manil Maskey; NASA Marshall Space Flight Center |
Rahul Ramachandran; NASA Marshall Space Flight Center |
J.J. Miller; University of Alabama in Huntsville |
Jia Zhang; Carnegie Mellon University |
Iksha Gurung; University of Alabama in Huntsville |
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08:50 - 09:10 |
TU1.R8.2: EDDYNET: A DEEP NEURAL NETWORK FOR PIXEL-WISE CLASSIFICATION OF OCEANIC EDDIES
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Redouane Lguensat; Université Grenoble Alpes |
Miao Sun; Key Laboratory of Digital Ocean |
Ronan Fablet; IMT Atlantique |
Evan Mason; Mediterranean Institute for Advanced Studies |
Pierre Tandeo; IMT Atlantique |
Ge Chen; Ocean University of China |
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09:10 - 09:30 |
TU1.R8.3: PREDICTING LANDSCAPES AS SEEN FROM SPACE FROM ENVIRONMENTAL CONDITIONS
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Christian Requena-Mesa; Computer Vision Group, Computer Science, FSU Jena, Germany |
Markus Reichstein; Department of Biogeochemical Integration, Max-Planck-Institute for Biogeochemistry |
Miguel Mahecha; Department of Biogeochemical Integration, Max-Planck-Institute for Biogeochemistry |
Basil Kraft; Department of Biogeochemical Integration, Max-Planck-Institute for Biogeochemistry |
Joachim Denzler; Computer Vision Group, Computer Science, FSU Jena, Germany |
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09:30 - 09:50 |
TU1.R8.4: CLOUD-GAN: CLOUD REMOVAL FOR SENTINEL-2 IMAGERY USING A CYCLIC CONSISTENT GENERATIVE ADVERSARIAL NETWORKS
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Praveer Singh; Ecole des Ponts ParisTech |
Nikos Komodakis; Ecole des Ponts ParisTech |
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