TU1.R8: Big Machine Learning III |
Session Type: Oral |
Time: Tuesday, July 24, 08:30 - 10:10 |
Location: Room 4F |
Session Chair: Devis Tuia, Wageningen
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TU1.R8.1: EARTH SCIENCE DEEP LEARNING: APPLICATIONS AND LESSONS LEARNED |
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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TU1.R8.2: EDDYNET: A DEEP NEURAL NETWORK FOR PIXEL-WISE CLASSIFICATION OF OCEANIC EDDIES |
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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TU1.R8.3: PREDICTING LANDSCAPES AS SEEN FROM SPACE FROM ENVIRONMENTAL CONDITIONS |
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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TU1.R8.4: CLOUD-GAN: CLOUD REMOVAL FOR SENTINEL-2 IMAGERY USING A CYCLIC CONSISTENT GENERATIVE ADVERSARIAL NETWORKS |
Praveer Singh; Ecole des Ponts ParisTech |
Nikos Komodakis; Ecole des Ponts ParisTech |
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