EarthVision


When a Few Clicks Make All the Difference: Improving Weakly-Supervised Wildlife Detection in UAV Images
Benjamin Kellenberger,
Diego Marcos,
Devis Tuia
[pdf]
[bibtex]
@InProceedings{Kellenberger_2019_CVPR_Workshops,
author = {Kellenberger, Benjamin and Marcos, Diego and Tuia, Devis},
title = {When a Few Clicks Make All the Difference: Improving Weakly-Supervised Wildlife Detection in UAV Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Intrinsic Scene Properties From Hyperspectral Images and LiDAR
Xudong Jin,
Yanfeng Gu
[pdf]
[bibtex]
@InProceedings{Jin_2019_CVPR_Workshops,
author = {Jin, Xudong and Gu, Yanfeng},
title = {Intrinsic Scene Properties From Hyperspectral Images and LiDAR},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

The Effects of Super-Resolution on Object Detection Performance in Satellite Imagery
Jacob Shermeyer,
Adam Van Etten
[pdf]
[bibtex]
@InProceedings{Shermeyer_2019_CVPR_Workshops,
author = {Shermeyer, Jacob and Van Etten, Adam},
title = {The Effects of Super-Resolution on Object Detection Performance in Satellite Imagery},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Large-Scale DTM Generation From Satellite Data
Liuyun Duan,
Mathieu Desbrun,
Anne Giraud,
Frederic Trastour,
Lionel Laurore
[pdf]
[bibtex]
@InProceedings{Duan_2019_CVPR_Workshops,
author = {Duan, Liuyun and Desbrun, Mathieu and Giraud, Anne and Trastour, Frederic and Laurore, Lionel},
title = {Large-Scale DTM Generation From Satellite Data},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Urban Semantic 3D Reconstruction From Multiview Satellite Imagery
Matthew J. Leotta,
Chengjiang Long,
Bastien Jacquet,
Matthieu Zins,
Dan Lipsa,
Jie Shan,
Bo Xu,
Zhixin Li,
Xu Zhang,
Shih-Fu Chang,
Matthew Purri,
Jia Xue,
Kristin Dana
[pdf]
[bibtex]
@InProceedings{Leotta_2019_CVPR_Workshops,
author = {Leotta, Matthew J. and Long, Chengjiang and Jacquet, Bastien and Zins, Matthieu and Lipsa, Dan and Shan, Jie and Xu, Bo and Li, Zhixin and Zhang, Xu and Chang, Shih-Fu and Purri, Matthew and Xue, Jia and Dana, Kristin},
title = {Urban Semantic 3D Reconstruction From Multiview Satellite Imagery},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection
Rodrigo Caye Daudt,
Bertrand Le Saux,
Alexandre Boulch,
Yann Gousseau
[pdf]
[bibtex]
@InProceedings{Daudt_2019_CVPR_Workshops,
author = {Caye Daudt, Rodrigo and Le Saux, Bertrand and Boulch, Alexandre and Gousseau, Yann},
title = {Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Late or Earlier Information Fusion From Depth and Spectral Data? Large-Scale Digital Surface Model Refinement by Hybrid-CGAN
Ksenia Bittner,
Peter Reinartz,
Marco Korner
[pdf]
[bibtex]
@InProceedings{Bittner_2019_CVPR_Workshops,
author = {Bittner, Ksenia and Reinartz, Peter and Korner, Marco},
title = {Late or Earlier Information Fusion From Depth and Spectral Data? Large-Scale Digital Surface Model Refinement by Hybrid-CGAN},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Weakly Supervised Fusion of Multiple Overhead Images
Muhammad Usman Rafique,
Hunter Blanton,
Nathan Jacobs
[pdf]
[bibtex]
@InProceedings{Rafique_2019_CVPR_Workshops,
author = {Usman Rafique, Muhammad and Blanton, Hunter and Jacobs, Nathan},
title = {Weakly Supervised Fusion of Multiple Overhead Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}