July 28 - August 2, 2019 • Yokohama, Japan

Pacifico Yokohama

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My IGARSS 2019 Schedule

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Session Detail

Session Title WE1.R4: Deep Learning for Multispectral Image Analysis I
Presentation Mode Oral
Session Time Wednesday, 31 July, 08:00 - 09:40
Location Room 313-314
Session ChairsMatthieu Molinier, VTT Technical Research Centre of Finland Ltd and Devis Tuia, Wageningen
  WE1.R4.1: IMAGE REGISTRATION OF SATELLITE IMAGERY WITH DEEP CONVOLUTIONAL NEURAL NETWORKS
         Maria Vakalopoulou; CentraleSupélec
         Stergios Christodoulidis; University of Bern
         Mihir Sahasrabudhe; CentraleSupélec
         Stavroula Mougiakakou; University of Bern
         Nikos Paragios; Therapanacea
  WE1.R4.2: CONTINUAL LEARNING FOR DENSE LABELING OF SATELLITE IMAGES
         Onur Tasar; INRIA
         Yuliya Tarabalka; INRIA
         Pierre Alliez; INRIA
  WE1.R4.3: CROSS-DOMAIN-CLASSIFICATION OF TSUNAMI DAMAGE VIA DATA SIMULATION AND RESIDUAL-NETWORK-DERIVED FEATURES FROM MULTI-SOURCE IMAGES
         Bruno Adriano; RIKEN Center for Advanced Intelligence Project
         Naoto Yokoya; RIKEN Center for Advanced Intelligence Project
         Junshi Xia; RIKEN Center for Advanced Intelligence Project
         Gerald Baier; RIKEN Center for Advanced Intelligence Project
         Shunichi Koshimura; International Research Institute of Disaster Science, Tohoku University
  WE1.R4.4: VISUAL QUESTION ANSWERING FROM REMOTE SENSING IMAGES
         Sylvain Lobry; Wageningen University and Research
         Jesse Murray; Wageningen University and Research
         Diego Marcos; Wageningen University and Research
         Devis Tuia; Wageningen University and Research
  WE1.R4.5: LARGE SCALE UNSUPERVISED DOMAIN ADAPTATION OF SEGMENTATION NETWORKS WITH ADVERSARIAL LEARNING
         Xueqing Deng; University of California, Merced
         Hsiuhan Lexie Yang; Oak Ridge National Laboratory
         Nikhil Makkar; Oak Ridge National Laboratory
         Dalton Lunga; Oak Ridge National Laboratory