CVPR 2024 Open Access Repository

EarthVision: Large Scale Computer Vision for Remote Sensing Imagery

Efficient Local Correlation Volume for Unsupervised Optical Flow Estimation on Small Moving Objects in Large Satellite Images: Sarra Khairi,

Etienne Meunier,

Renaud Fraisse,

Patrick Bouthemy; [pdf] [supp]
[bibtex]
@InProceedings{Khairi_2024_CVPR, author = {Khairi, Sarra and Meunier, Etienne and Fraisse, Renaud and Bouthemy, Patrick}, title = {Efficient Local Correlation Volume for Unsupervised Optical Flow Estimation on Small Moving Objects in Large Satellite Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {440-448} }
GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis: Srikumar Sastry,

Subash Khanal,

Aayush Dhakal,

Nathan Jacobs; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sastry_2024_CVPR, author = {Sastry, Srikumar and Khanal, Subash and Dhakal, Aayush and Jacobs, Nathan}, title = {GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {460-470} }
Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes: Ivica Obadic,

Alex Levering,

Lars Pennig,

Dario Oliveira,

Diego Marcos,

Xiaoxiang Zhu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Obadic_2024_CVPR, author = {Obadic, Ivica and Levering, Alex and Pennig, Lars and Oliveira, Dario and Marcos, Diego and Zhu, Xiaoxiang}, title = {Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {575-584} }
Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models: Georges Le Bellier,

Nicolas Audebert; [pdf] [arXiv]
[bibtex]
@InProceedings{Le_Bellier_2024_CVPR, author = {Le Bellier, Georges and Audebert, Nicolas}, title = {Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {481-491} }
Let Me Show You How It's Done - Cross-modal Knowledge Distillation as Pretext Task for Semantic Segmentation: Rudhishna Narayanan Nair,

Ronny Hänsch; [pdf]
[bibtex]
@InProceedings{Nair_2024_CVPR, author = {Nair, Rudhishna Narayanan and H\"ansch, Ronny}, title = {Let Me Show You How It's Done - Cross-modal Knowledge Distillation as Pretext Task for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {595-603} }
Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs: Jonathan Roberts,

Timo Lüddecke,

Rehan Sheikh,

Kai Han,

Samuel Albanie; [pdf] [supp]
[bibtex]
@InProceedings{Roberts_2024_CVPR, author = {Roberts, Jonathan and L\"uddecke, Timo and Sheikh, Rehan and Han, Kai and Albanie, Samuel}, title = {Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {554-563} }
SyntStereo2Real: Edge-Aware GAN for Remote Sensing Image-to-Image Translation while Maintaining Stereo Constraint: Vasudha Venkatesan,

Daniel Panangian,

Mario Fuentes Reyes,

Ksenia Bittner; [pdf] [arXiv]
[bibtex]
@InProceedings{Venkatesan_2024_CVPR, author = {Venkatesan, Vasudha and Panangian, Daniel and Reyes, Mario Fuentes and Bittner, Ksenia}, title = {SyntStereo2Real: Edge-Aware GAN for Remote Sensing Image-to-Image Translation while Maintaining Stereo Constraint}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {512-521} }
Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images: Aayush Dhakal,

Adeel Ahmad,

Subash Khanal,

Srikumar Sastry,

Hannah Kerner,

Nathan Jacobs; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Dhakal_2024_CVPR, author = {Dhakal, Aayush and Ahmad, Adeel and Khanal, Subash and Sastry, Srikumar and Kerner, Hannah and Jacobs, Nathan}, title = {Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {533-542} }
Unsupervised Domain Adaptation Architecture Search with Self-Training for Land Cover Mapping: Clifford Broni-Bediako,

Junshi Xia,

Naoto Yokoya; [pdf] [arXiv]
[bibtex]
@InProceedings{Broni-Bediako_2024_CVPR, author = {Broni-Bediako, Clifford and Xia, Junshi and Yokoya, Naoto}, title = {Unsupervised Domain Adaptation Architecture Search with Self-Training for Land Cover Mapping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {543-553} }
Implicit Assimilation of Sparse In Situ Data for Dense & Global Storm Surge Forecasting: Patrick Ebel,

Brandon Victor,

Peter Naylor,

Gabriele Meoni,

Federico Serva,

Rochelle Schneider; [pdf] [arXiv]
[bibtex]
@InProceedings{Ebel_2024_CVPR, author = {Ebel, Patrick and Victor, Brandon and Naylor, Peter and Meoni, Gabriele and Serva, Federico and Schneider, Rochelle}, title = {Implicit Assimilation of Sparse In Situ Data for Dense \& Global Storm Surge Forecasting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {471-480} }
SUNDIAL: 3D Satellite Understanding through Direct Ambient and Complex Lighting Decomposition: Nikhil Behari,

Akshat Dave,

Kushagra Tiwary,

William Yang,

Ramesh Raskar; [pdf] [arXiv]
[bibtex]
@InProceedings{Behari_2024_CVPR, author = {Behari, Nikhil and Dave, Akshat and Tiwary, Kushagra and Yang, William and Raskar, Ramesh}, title = {SUNDIAL: 3D Satellite Understanding through Direct Ambient and Complex Lighting Decomposition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {522-532} }
Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery: Xavier Bou,

Gabriele Facciolo,

Rafael Grompone Von Gioi,

Jean-Michel Morel,

Thibaud Ehret; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bou_2024_CVPR, author = {Bou, Xavier and Facciolo, Gabriele and Von Gioi, Rafael Grompone and Morel, Jean-Michel and Ehret, Thibaud}, title = {Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {430-439} }
Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series: Aimi Okabayashi,

Nicolas Audebert,

Simon Donike,

Charlotte Pelletier; [pdf]
[bibtex]
@InProceedings{Okabayashi_2024_CVPR, author = {Okabayashi, Aimi and Audebert, Nicolas and Donike, Simon and Pelletier, Charlotte}, title = {Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {502-511} }
(Street) Lights Will Guide You: Georeferencing Nighttime Astronaut Photography of Earth: Alex Stoken,

Peter Ilhardt,

Mark Lambert,

Kenton Fisher; [pdf] [supp]
[bibtex]
@InProceedings{Stoken_2024_CVPR, author = {Stoken, Alex and Ilhardt, Peter and Lambert, Mark and Fisher, Kenton}, title = {(Street) Lights Will Guide You: Georeferencing Nighttime Astronaut Photography of Earth}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {492-501} }
Radar Fields: An Extension of Radiance Fields to SAR: Thibaud Ehret,

Roger Mari,

Dawa Derksen,

Nicolas Gasnier,

Gabriele Facciolo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ehret_2024_CVPR, author = {Ehret, Thibaud and Mari, Roger and Derksen, Dawa and Gasnier, Nicolas and Facciolo, Gabriele}, title = {Radar Fields: An Extension of Radiance Fields to SAR}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {564-574} }
Deep Generative Data Assimilation in Multimodal Setting: Yongquan Qu,

Juan Nathaniel,

Shuolin Li,

Pierre Gentine; [pdf] [arXiv]
[bibtex]
@InProceedings{Qu_2024_CVPR, author = {Qu, Yongquan and Nathaniel, Juan and Li, Shuolin and Gentine, Pierre}, title = {Deep Generative Data Assimilation in Multimodal Setting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {449-459} }
GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilots: Simranjit Singh,

Michael Fore,

Dimitrios Stamoulis; [pdf]
[bibtex]
@InProceedings{Singh_2024_CVPR, author = {Singh, Simranjit and Fore, Michael and Stamoulis, Dimitrios}, title = {GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilots}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {585-594} }
UrbanSARFloods: Sentinel-1 SLC-Based Benchmark Dataset for Urban and Open-Area Flood Mapping: Jie Zhao,

Zhitong Xiong,

Xiao Xiang Zhu; [pdf]
[bibtex]
@InProceedings{Zhao_2024_CVPR, author = {Zhao, Jie and Xiong, Zhitong and Zhu, Xiao Xiang}, title = {UrbanSARFloods: Sentinel-1 SLC-Based Benchmark Dataset for Urban and Open-Area Flood Mapping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {419-429} }