EarthVision: Large Scale Computer Vision for Remote Sensing Imagery
Fast Building Segmentation From Satellite Imagery and Few Local Labels-
[pdf]
[bibtex]@InProceedings{Robinson_2022_CVPR, author = {Robinson, Caleb and Ortiz, Anthony and Park, Hogeun and Lozano, Nancy and Kaw, Jon Kher and Sederholm, Tina and Dodhia, Rahul and Ferres, Juan M. Lavista}, title = {Fast Building Segmentation From Satellite Imagery and Few Local Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1463-1471} }
Sat-NeRF: Learning Multi-View Satellite Photogrammetry With Transient Objects and Shadow Modeling Using RPC Cameras-
[pdf]
[bibtex]@InProceedings{Mari_2022_CVPR, author = {Mar{\'\i}, Roger and Facciolo, Gabriele and Ehret, Thibaud}, title = {Sat-NeRF: Learning Multi-View Satellite Photogrammetry With Transient Objects and Shadow Modeling Using RPC Cameras}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1311-1321} }
Single-Shot End-to-End Road Graph Extraction-
[pdf]
[supp]
[bibtex]@InProceedings{Bahl_2022_CVPR, author = {Bahl, Gaetan and Bahri, Mehdi and Lafarge, Florent}, title = {Single-Shot End-to-End Road Graph Extraction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1403-1412} }
Self-Supervised Vision Transformers for Land-Cover Segmentation and Classification-
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[bibtex]@InProceedings{Scheibenreif_2022_CVPR, author = {Scheibenreif, Linus and Hanna, Jo\"elle and Mommert, Michael and Borth, Damian}, title = {Self-Supervised Vision Transformers for Land-Cover Segmentation and Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1422-1431} }
Urban Building Classification (UBC) - A Dataset for Individual Building Detection and Classification From Satellite Imagery-
[pdf]
[bibtex]@InProceedings{Huang_2022_CVPR, author = {Huang, Xingliang and Ren, Libo and Liu, Chenglong and Wang, Yixuan and Yu, Hongfeng and Schmitt, Michael and H\"ansch, Ronny and Sun, Xian and Huang, Hai and Mayer, Helmut}, title = {Urban Building Classification (UBC) - A Dataset for Individual Building Detection and Classification From Satellite Imagery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1413-1421} }
Generalized Classification of Satellite Image Time Series With Thermal Positional Encoding-
[pdf]
[arXiv]
[bibtex]@InProceedings{Nyborg_2022_CVPR, author = {Nyborg, Joachim and Pelletier, Charlotte and Assent, Ira}, title = {Generalized Classification of Satellite Image Time Series With Thermal Positional Encoding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1392-1402} }
Cross-Dataset Learning for Generalizable Land Use Scene Classification-
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[bibtex]@InProceedings{Gominski_2022_CVPR, author = {Gominski, Dimitri and Gouet-Brunet, Val\'erie and Chen, Liming}, title = {Cross-Dataset Learning for Generalizable Land Use Scene Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1382-1391} }
Self-Supervised Learning To Guide Scientifically Relevant Categorization of Martian Terrain Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Panambur_2022_CVPR, author = {Panambur, Tejas and Chakraborty, Deep and Meyer, Melissa and Milliken, Ralph and Learned-Miller, Erik and Parente, Mario}, title = {Self-Supervised Learning To Guide Scientifically Relevant Categorization of Martian Terrain Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1322-1332} }
Multi-Layer Modeling of Dense Vegetation From Aerial LiDAR Scans-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kalinicheva_2022_CVPR, author = {Kalinicheva, Ekaterina and Landrieu, Loic and Mallet, Cl\'ement and Chehata, Nesrine}, title = {Multi-Layer Modeling of Dense Vegetation From Aerial LiDAR Scans}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1342-1351} }
Prompt-RSVQA: Prompting Visual Context to a Language Model for Remote Sensing Visual Question Answering-
[pdf]
[bibtex]@InProceedings{Chappuis_2022_CVPR, author = {Chappuis, Christel and Zermatten, Val\'erie and Lobry, Sylvain and Le Saux, Bertrand and Tuia, Devis}, title = {Prompt-RSVQA: Prompting Visual Context to a Language Model for Remote Sensing Visual Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1372-1381} }
OpenSentinelMap: A Large-Scale Land Use Dataset Using OpenStreetMap and Sentinel-2 Imagery-
[pdf]
[bibtex]@InProceedings{Johnson_2022_CVPR, author = {Johnson, Noah and Treible, Wayne and Crispell, Daniel}, title = {OpenSentinelMap: A Large-Scale Land Use Dataset Using OpenStreetMap and Sentinel-2 Imagery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1333-1341} }
Transforming Temporal Embeddings to Keypoint Heatmaps for Detection of Tiny Vehicles in Wide Area Motion Imagery (WAMI) Sequences-
[pdf]
[bibtex]@InProceedings{Negin_2022_CVPR, author = {Negin, Farhood and Tabejamaat, Mohsen and Fraisse, Renaud and Bremond, Francois}, title = {Transforming Temporal Embeddings to Keypoint Heatmaps for Detection of Tiny Vehicles in Wide Area Motion Imagery (WAMI) Sequences}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1432-1441} }
Hephaestus: A Large Scale Multitask Dataset Towards InSAR Understanding-
[pdf]
[arXiv]
[bibtex]@InProceedings{Bountos_2022_CVPR, author = {Bountos, Nikolaos Ioannis and Papoutsis, Ioannis and Michail, Dimitrios and Karavias, Andreas and Elias, Panagiotis and Parcharidis, Isaak}, title = {Hephaestus: A Large Scale Multitask Dataset Towards InSAR Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1453-1462} }
Towards Assessing Agricultural Land Suitability With Causal Machine Learning-
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[arXiv]
[bibtex]@InProceedings{Giannarakis_2022_CVPR, author = {Giannarakis, Georgios and Sitokonstantinou, Vasileios and Lorilla, Roxanne Suzette and Kontoes, Charalampos}, title = {Towards Assessing Agricultural Land Suitability With Causal Machine Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1442-1452} }
SpaceNet 8 - The Detection of Flooded Roads and Buildings-
[pdf]
[bibtex]@InProceedings{Hansch_2022_CVPR, author = {H\"ansch, Ronny and Arndt, Jacob and Lunga, Dalton and Gibb, Matthew and Pedelose, Tyler and Boedihardjo, Arnold and Petrie, Desiree and Bacastow, Todd M.}, title = {SpaceNet 8 - The Detection of Flooded Roads and Buildings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1472-1480} }
Unsupervised Change Detection Based on Image Reconstruction Loss-
[pdf]
[arXiv]
[bibtex]@InProceedings{Noh_2022_CVPR, author = {Noh, Hyeoncheol and Ju, Jingi and Seo, Minseok and Park, Jongchan and Choi, Dong-Geol}, title = {Unsupervised Change Detection Based on Image Reconstruction Loss}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1352-1361} }
Understanding the Role of Weather Data for Earth Surface Forecasting Using a ConvLSTM-Based Model-
[pdf]
[bibtex]@InProceedings{Diaconu_2022_CVPR, author = {Diaconu, Codruț-Andrei and Saha, Sudipan and G\"unnemann, Stephan and Zhu, Xiao Xiang}, title = {Understanding the Role of Weather Data for Earth Surface Forecasting Using a ConvLSTM-Based Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1362-1371} }