EarthVision: Large Scale Computer Vision for Remote Sensing Imagery
ResDepth: Learned Residual Stereo Reconstruction-
[pdf]
[bibtex]@InProceedings{Stucker_2020_CVPR_Workshops,
author = {Stucker, Corinne and Schindler, Konrad},
title = {ResDepth: Learned Residual Stereo Reconstruction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
DALES: A Large-Scale Aerial LiDAR Data Set for Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Varney_2020_CVPR_Workshops,
author = {Varney, Nina and Asari, Vijayan K. and Graehling, Quinn},
title = {DALES: A Large-Scale Aerial LiDAR Data Set for Semantic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
S2A: Wasserstein GAN With Spatio-Spectral Laplacian Attention for Multi-Spectral Band Synthesis-
[pdf]
[bibtex]@InProceedings{Rout_2020_CVPR_Workshops,
author = {Rout, Litu and Misra, Indranil and Moorthi, S Manthira and Dhar, Debajyoti},
title = {S2A: Wasserstein GAN With Spatio-Spectral Laplacian Attention for Multi-Spectral Band Synthesis},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
Density Map Guided Object Detection in Aerial Images-
[pdf]
[bibtex]@InProceedings{Li_2020_CVPR_Workshops,
author = {Li, Changlin and Yang, Taojiannan and Zhu, Sijie and Chen, Chen and Guan, Shanyue},
title = {Density Map Guided Object Detection in Aerial Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
StandardGAN: Multi-Source Domain Adaptation for Semantic Segmentation of Very High Resolution Satellite Images by Data Standardization-
[pdf]
[bibtex]@InProceedings{Tasar_2020_CVPR_Workshops,
author = {Tasar, Onur and Tarabalka, Yuliya and Giros, Alain and Alliez, Pierre and Clerc, Sebastien},
title = {StandardGAN: Multi-Source Domain Adaptation for Semantic Segmentation of Very High Resolution Satellite Images by Data Standardization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
Monte-Carlo Siamese Policy on Actor for Satellite Image Super Resolution-
[pdf]
[bibtex]@InProceedings{Rout_2020_CVPR_Workshops,
author = {Rout, Litu and Shah, Saumyaa and Moorthi, S Manthira and Dhar, Debajyoti},
title = {Monte-Carlo Siamese Policy on Actor for Satellite Image Super Resolution},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
SpaceNet 6: Multi-Sensor All Weather Mapping Dataset-
[pdf]
[bibtex]@InProceedings{Shermeyer_2020_CVPR_Workshops,
author = {Shermeyer, Jacob and Hogan, Daniel and Brown, Jason and Van Etten, Adam and Weir, Nicholas and Pacifici, Fabio and Hansch, Ronny and Bastidas, Alexei and Soenen, Scott and Bacastow, Todd and Lewis, Ryan},
title = {SpaceNet 6: Multi-Sensor All Weather Mapping Dataset},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
FGCN: Deep Feature-Based Graph Convolutional Network for Semantic Segmentation of Urban 3D Point Clouds-
[pdf]
[bibtex]@InProceedings{Khan_2020_CVPR_Workshops,
author = {Khan, Saqib Ali and Shi, Yilei and Shahzad, Muhammad and Zhu, Xiao Xiang},
title = {FGCN: Deep Feature-Based Graph Convolutional Network for Semantic Segmentation of Urban 3D Point Clouds},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
Meta-Learning for Few-Shot Land Cover Classification-
[pdf]
[bibtex]@InProceedings{Russwurm_2020_CVPR_Workshops,
author = {Russwurm, Marc and Wang, Sherrie and Korner, Marco and Lobell, David},
title = {Meta-Learning for Few-Shot Land Cover Classification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
Toronto-3D: A Large-Scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways-
[pdf]
[bibtex]@InProceedings{Tan_2020_CVPR_Workshops,
author = {Tan, Weikai and Qin, Nannan and Ma, Lingfei and Li, Ying and Du, Jing and Cai, Guorong and Yang, Ke and Li, Jonathan},
title = {Toronto-3D: A Large-Scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
Deep Regression for Imaging Solar Magnetograms Using Pyramid Generative Adversarial Networks-
[pdf]
[bibtex]@InProceedings{Alshehhi_2020_CVPR_Workshops,
author = {Alshehhi, Rasha},
title = {Deep Regression for Imaging Solar Magnetograms Using Pyramid Generative Adversarial Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
Multi-Image Super-Resolution for Remote Sensing Using Deep Recurrent Networks-
[pdf]
[bibtex]@InProceedings{Arefin_2020_CVPR_Workshops,
author = {Arefin, Md Rifat and Michalski, Vincent and St-Charles, Pierre-Luc and Kalaitzis, Alfredo and Kim, Sookyung and Kahou, Samira E. and Bengio, Yoshua},
title = {Multi-Image Super-Resolution for Remote Sensing Using Deep Recurrent Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
RasterNet: Modeling Free-Flow Speed Using LiDAR and Overhead Imagery-
[pdf]
[bibtex]@InProceedings{Hadzic_2020_CVPR_Workshops,
author = {Hadzic, Armin and Blanton, Hunter and Song, Weilian and Chen, Mei and Workman, Scott and Jacobs, Nathan},
title = {RasterNet: Modeling Free-Flow Speed Using LiDAR and Overhead Imagery},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
Sen1Floods11: A Georeferenced Dataset to Train and Test Deep Learning Flood Algorithms for Sentinel-1-
[pdf]
[bibtex]@InProceedings{Bonafilia_2020_CVPR_Workshops,
author = {Bonafilia, Derrick and Tellman, Beth and Anderson, Tyler and Issenberg, Erica},
title = {Sen1Floods11: A Georeferenced Dataset to Train and Test Deep Learning Flood Algorithms for Sentinel-1},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}