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
 
08:30 - 08:50
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
 
08:50 - 09:10
TU1.R8.2: EDDYNET: A DEEP NEURAL NETWORK FOR PIXEL-WISE CLASSIFICATION OF OCEANIC EDDIES
         Redouane Lguensat; Universit√© 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
 
09:10 - 09:30
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
 
09:30 - 09:50
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