EarthVision: Large Scale Computer Vision for Remote Sensing Imagery
Self-Supervised Multi-Image Super-Resolution for Push-Frame Satellite Images-
[pdf]
[supp]
[bibtex]@InProceedings{Nguyen_2021_CVPR, author = {Nguyen, Ngoc Long and Anger, Jeremy and Davy, Axel and Arias, Pablo and Facciolo, Gabriele}, title = {Self-Supervised Multi-Image Super-Resolution for Push-Frame Satellite Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1121-1131} }
Towards Indirect Top-Down Road Transport Emissions Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Mukherjee_2021_CVPR, author = {Mukherjee, Ryan and Rollend, Derek and Christie, Gordon and Hadzic, Armin and Matson, Sally and Saksena, Anshu and Hughes, Marisa}, title = {Towards Indirect Top-Down Road Transport Emissions Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1092-1101} }
Training Domain-Invariant Object Detector Faster With Feature Replay and Slow Learner-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lee_2021_CVPR, author = {Lee, Chaehyeon and Seo, Junghoon and Jung, Heechul}, title = {Training Domain-Invariant Object Detector Faster With Feature Replay and Slow Learner}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1172-1181} }
LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands, Water and Roads From Aerial Imagery-
[pdf]
[bibtex]@InProceedings{Boguszewski_2021_CVPR, author = {Boguszewski, Adrian and Batorski, Dominik and Ziemba-Jankowska, Natalia and Dziedzic, Tomasz and Zambrzycka, Anna}, title = {LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands, Water and Roads From Aerial Imagery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1102-1110} }
OpenGF: An Ultra-Large-Scale Ground Filtering Dataset Built Upon Open ALS Point Clouds Around the World-
[pdf]
[arXiv]
[bibtex]@InProceedings{Qin_2021_CVPR, author = {Qin, Nannan and Tan, Weikai and Ma, Lingfei and Zhang, Dedong and Li, Jonathan}, title = {OpenGF: An Ultra-Large-Scale Ground Filtering Dataset Built Upon Open ALS Point Clouds Around the World}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1082-1091} }
Addressing Visual Search in Open and Closed Set Settings-
[pdf]
[arXiv]
[bibtex]@InProceedings{Drenkow_2021_CVPR, author = {Drenkow, Nathan and Burlina, Philippe and Fendley, Neil and Odoemene, Onyekachi and Markowitz, Jared}, title = {Addressing Visual Search in Open and Closed Set Settings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1143-1151} }
QFabric: Multi-Task Change Detection Dataset-
[pdf]
[bibtex]@InProceedings{Verma_2021_CVPR, author = {Verma, Sagar and Panigrahi, Akash and Gupta, Siddharth}, title = {QFabric: Multi-Task Change Detection Dataset}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1052-1061} }
Shadow Neural Radiance Fields for Multi-View Satellite Photogrammetry-
[pdf]
[arXiv]
[bibtex]@InProceedings{Derksen_2021_CVPR, author = {Derksen, Dawa and Izzo, Dario}, title = {Shadow Neural Radiance Fields for Multi-View Satellite Photogrammetry}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1152-1161} }
Point2color: 3D Point Cloud Colorization Using a Conditional Generative Network and Differentiable Rendering for Airborne LiDAR-
[pdf]
[bibtex]@InProceedings{Shinohara_2021_CVPR, author = {Shinohara, Takayuki and Xiu, Haoyi and Matsuoka, Masashi}, title = {Point2color: 3D Point Cloud Colorization Using a Conditional Generative Network and Differentiable Rendering for Airborne LiDAR}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1062-1071} }
Combining Remotely Sensed Imagery With Survival Models for Outage Risk Estimation of the Power Grid-
[pdf]
[bibtex]@InProceedings{Jain_2021_CVPR, author = {Jain, Arpit and Shah, Tapan and Yousefhussien, Mohammed and Pandey, Achalesh}, title = {Combining Remotely Sensed Imagery With Survival Models for Outage Risk Estimation of the Power Grid}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1202-1211} }
EarthNet2021: A Large-Scale Dataset and Challenge for Earth Surface Forecasting as a Guided Video Prediction Task.-
[pdf]
[supp]
[bibtex]@InProceedings{Requena-Mesa_2021_CVPR, author = {Requena-Mesa, Christian and Benson, Vitus and Reichstein, Markus and Runge, Jakob and Denzler, Joachim}, title = {EarthNet2021: A Large-Scale Dataset and Challenge for Earth Surface Forecasting as a Guided Video Prediction Task.}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1132-1142} }
Dot Distance for Tiny Object Detection in Aerial Images-
[pdf]
[bibtex]@InProceedings{Xu_2021_CVPR, author = {Xu, Chang and Wang, Jinwang and Yang, Wen and Yu, Lei}, title = {Dot Distance for Tiny Object Detection in Aerial Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1192-1201} }
Machine-Learned 3D Building Vectorization From Satellite Imagery-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2021_CVPR, author = {Wang, Yi and Zorzi, Stefano and Bittner, Ksenia}, title = {Machine-Learned 3D Building Vectorization From Satellite Imagery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1072-1081} }
Single View Geocentric Pose in the Wild-
[pdf]
[arXiv]
[bibtex]@InProceedings{Christie_2021_CVPR, author = {Christie, Gordon and Foster, Kevin and Hagstrom, Shea and Hager, Gregory D. and Brown, Myron Z.}, title = {Single View Geocentric Pose in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1162-1171} }
Learning To Predict Crop Type From Heterogeneous Sparse Labels Using Meta-Learning-
[pdf]
[bibtex]@InProceedings{Tseng_2021_CVPR, author = {Tseng, Gabriel and Kerner, Hannah and Nakalembe, Catherine and Becker-Reshef, Inbal}, title = {Learning To Predict Crop Type From Heterogeneous Sparse Labels Using Meta-Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1111-1120} }
Self-Supervised Learning of Remote Sensing Scene Representations Using Contrastive Multiview Coding-
[pdf]
[arXiv]
[bibtex]@InProceedings{Stojnic_2021_CVPR, author = {Stojnic, Vladan and Risojevic, Vladimir}, title = {Self-Supervised Learning of Remote Sensing Scene Representations Using Contrastive Multiview Coding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1182-1191} }