Jie Shan, Professor of Civil Engineering, along with Purdue researchers Bo Xu and Zhixin Li, have received the best paper award at the 2019 Computer Vision and Pattern Recognition (CVPR) Workshop EarthVision for their work entitled, "Urban Semantic 3D Reconstruction from Multiview Satellite imagery." Co-authors of the paper include Matt Leotta (Kitware, Inc.), Chengjiang Long (Kitware, Inc.), Bastien Jacquet (Kitware, Inc.), Matthieu Zins (Kitware, Inc.), Dan Lipsa (Kitware, Inc.), Xu Zhang (Columbia University), Shih-Fu Chang (Columbia University), Matthew Purri (Rutgers University), Jia Xue (Rutgers University), and Kristin Dana (Rutgers University).

This Workshop, held at the CVPR 2019 Conference, aims at fostering collaboration between the computer vision and Earth observation communities to boost automated interpretation of remotely sensed data and to raise awareness inside the vision community for this highly challenging and quickly evolving field of research with a big impact on human society, economy, industry, and the planet.

The event is jointly organized by the Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society (GRSS) and by the ISPRS Commission II "Photogrammetry" and is sponsored by IEEE-GRSS.