Student contest

Below is the list of accepted papers for the student contest. Each finalist will be invited to give a 3 minutes talk during a dedicated “student contest” session.

  • # 10: Qinghui Liu, Michael Kampffmeyer, Robert Jenssen and Arnt-Børre Salberg DENSE DILATED CONVOLUTIONS MERGING NETWORK FOR SEMANTIC MAPPING OF REMOTE SENSING IMAGES.
  • # 11: Yuansheng Hua, Lichao Mou and Xiao Xiang Zhu Multi-label Aerial Image Classification using A Bidirectional Class-wise Attention Networ
  • # 17: Yao Shen, Huanfeng Shen, Qing Cheng, Liwen Huang and Liangpei ZhangUrban Expansion Trajectories in China’s 36 Major Cities
  • # 18: Ahmed Nassar, Sébastien Lefèvre, Jan Wegner and Nico Lang Learning geometric soft constraints for multi-view instance matching across street-level panorama
  • # 22: Javiera Castillo-Navarro, Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux and Sébastien Lefèvre What Data are needed for Deep Learning in Earth Observation
  • # 26: Thomas Stark, Michael Wurm, Hannes Taubenböck and Xiao Xiang Zhu Slum Mapping in Imbalanced Remote Sensing Datasets Using Transfer Learned Deep Features
  • # 49: Xiangli Yang, Loïc Denis, Florence Tupin and Wen Yang SAR Image Despeckling Using Pre-trained Convolutional Neural Network Models
  • # 55: Chunping Qiu, Michael Schmitt, Hannes Taubenböck and Xiao Xiang Zhu Mapping Human Settlements with Sentinel-2 Imagery and Deep Neural Networks
  • # 58: Clément Rambour, Loïc Denis and Florence Tupin Urban surface recovery through graph-cuts iver SAR tomographic reconstruction
  • # 62: Younes Zegaoui, Marc Chaumont, Gérard Subsol, Philippe Borianne and Mustapha Derras Urban object classification with 3D Deep-Learning
  • # 63: Hossein Bagheri, Michael Schmitt and Xiao Xiang Zhu Towards the Reconstruction of Prismatic Building Models by SAR-Optical Stereogrammetry
  • # 68: Jiameng Lai, Wenfeng Zhan and Sida Jiang Forecasting of the Nighttime Surface Urban Heat Islands under Clear-sky
  • # 77: Matthew Gibson, Dhruv Kaushik and Arcot Sowmya Robust CNNs for detecting collapsed buildings with crowd-sourced data
  • # 102: Xiangtian Yuan, Jiaojiao Tian and Peter Reinartz Building Change Detection Based on Deep Learning and Belief Function
  • # 104: Mohamed Chelali, Camille Kurtz, Nicole Vincent and Anne Puissant Urban land cover analysis from satellite image time series based on temporal stability