CVPR 2026 Open Access Repository

EarthVision: Large Scale Computer Vision for Remote Sensing Imagery

THOR: A Versatile Foundation Model for Earth Observation Climate and Society Applications: Theodor Forgaard,

Jarle Reksten,

Anders Waldeland,

Valerio Marsocci,

Nicolas Longepe,

Michael Kampffmeyer,

Arnt-Borre Salberg; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Forgaard_2026_CVPR, author = {Forgaard, Theodor and Reksten, Jarle and Waldeland, Anders and Marsocci, Valerio and Longepe, Nicolas and Kampffmeyer, Michael and Salberg, Arnt-Borre}, title = {THOR: A Versatile Foundation Model for Earth Observation Climate and Society Applications}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7899-7908} }
Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns: Baris Sarper Tezcan,

Hrishikesh Viswanath,

Rubab Saher,

Daniel Aliaga; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tezcan_2026_CVPR, author = {Tezcan, Baris Sarper and Viswanath, Hrishikesh and Saher, Rubab and Aliaga, Daniel}, title = {Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {8053-8062} }
Enabling Training-Free Text-Based Remote Sensing Segmentation: Jose Sosa,

Danila Rukhovich,

Anis Kacem,

Djamila Aouada; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sosa_2026_CVPR, author = {Sosa, Jose and Rukhovich, Danila and Kacem, Anis and Aouada, Djamila}, title = {Enabling Training-Free Text-Based Remote Sensing Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {8041-8052} }
Pretrain Where? Investigating How Pretraining Data Diversity Impacts Geospatial Foundation Model Performance: Amandeep Kaur,

Mirali Purohit,

Gedeon Muhawenayo,

Esther Rolf,

Hannah Kerner; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kaur_2026_CVPR, author = {Kaur, Amandeep and Purohit, Mirali and Muhawenayo, Gedeon and Rolf, Esther and Kerner, Hannah}, title = {Pretrain Where? Investigating How Pretraining Data Diversity Impacts Geospatial Foundation Model Performance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7949-7959} }
Covariance Meets Context: Transformer-Based SAR Covariance Prediction Across Frequencies and Time: Nikita Basargin,

Alberto Alonso-González,

Irena Hajnsek; [pdf]
[bibtex]
@InProceedings{Basargin_2026_CVPR, author = {Basargin, Nikita and Alonso-Gonz\'alez, Alberto and Hajnsek, Irena}, title = {Covariance Meets Context: Transformer-Based SAR Covariance Prediction Across Frequencies and Time}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7857-7867} }
MIRANDA: MId-feature RANk-adversarial Domain Adaptation toward climate change-robust ecological forecasting with deep learning: Yuchang Jiang,

Jan Dirk Wegner,

Vivien Sainte Fare Garnot; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jiang_2026_CVPR, author = {Jiang, Yuchang and Wegner, Jan Dirk and Garnot, Vivien Sainte Fare}, title = {MIRANDA: MId-feature RANk-adversarial Domain Adaptation toward climate change-robust ecological forecasting with deep learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7939-7948} }
GeoGS: Geospatial Gaussian Splatting for Robust 3D Reconstruction from Sparse Satellite Imagery: Han-Gyeol Kim,

Seonghyeon Yun,

JaeWan Park,

Darongsae Kwon; [pdf] [supp]
[bibtex]
@InProceedings{Kim_2026_CVPR, author = {Kim, Han-Gyeol and Yun, Seonghyeon and Park, JaeWan and Kwon, Darongsae}, title = {GeoGS: Geospatial Gaussian Splatting for Robust 3D Reconstruction from Sparse Satellite Imagery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7980-7989} }
Location Is All You Need: Continuous Spatiotemporal Neural Representations of Earth Observation Data: Mojgan Madadikhaljan,

Jonathan Prexl,

Isabelle Wittmann,

Conrad M Albrecht,

Michael Schmitt; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Madadikhaljan_2026_CVPR, author = {Madadikhaljan, Mojgan and Prexl, Jonathan and Wittmann, Isabelle and Albrecht, Conrad M and Schmitt, Michael}, title = {Location Is All You Need: Continuous Spatiotemporal Neural Representations of Earth Observation Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {8000-8010} }
CAFOSat: A Strongly Annotated Dataset for Infrastructure-Aware CAFO Mapping Using High-Resolution Imagery: Oishee Bintey Hoque,

Nibir Chandra Mandal,

Mandy Wilson,

Samarth Swarup,

Madhav Marathe,

Abhijin Adiga; [pdf] [supp]
[bibtex]
@InProceedings{Hoque_2026_CVPR, author = {Hoque, Oishee Bintey and Mandal, Nibir Chandra and Wilson, Mandy and Swarup, Samarth and Marathe, Madhav and Adiga, Abhijin}, title = {CAFOSat: A Strongly Annotated Dataset for Infrastructure-Aware CAFO Mapping Using High-Resolution Imagery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7929-7938} }
CraterBench-R: Instance-Level Crater Retrieval for Planetary Scale: Jichao Fang,

Lei Zhang,

Michael Phillips,

Wei Luo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Fang_2026_CVPR, author = {Fang, Jichao and Zhang, Lei and Phillips, Michael and Luo, Wei}, title = {CraterBench-R: Instance-Level Crater Retrieval for Planetary Scale}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7889-7898} }
How to Embed Matters: Evaluation of EO Embedding Design Choices: Luis Gilch,

Isabelle Wittmann,

Maximilian Nitsche,

Johannes Jakubik,

Arne Ewald,

Thomas Brunschwiler; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gilch_2026_CVPR, author = {Gilch, Luis and Wittmann, Isabelle and Nitsche, Maximilian and Jakubik, Johannes and Ewald, Arne and Brunschwiler, Thomas}, title = {How to Embed Matters: Evaluation of EO Embedding Design Choices}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7909-7918} }
Beyond Conditional Diffusion: A Physics-Guided Diffusion Framework for Joint Forecasting of Physical Drivers and Multispectral Satellite Data: Francesca De Falco,

Francesco Mauro,

Andrea Ceschini,

Alessandro Sebastianelli,

Paolo Gamba,

Silvia Liberata Ullo,

Gabriele Meoni,

Massimo Panella,

Lorenzo Papa; [pdf]
[bibtex]
@InProceedings{De_Falco_2026_CVPR, author = {De Falco, Francesca and Mauro, Francesco and Ceschini, Andrea and Sebastianelli, Alessandro and Gamba, Paolo and Ullo, Silvia Liberata and Meoni, Gabriele and Panella, Massimo and Papa, Lorenzo}, title = {Beyond Conditional Diffusion: A Physics-Guided Diffusion Framework for Joint Forecasting of Physical Drivers and Multispectral Satellite Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7878-7888} }
Rethinking Language Models for Building Outline Extraction from Remote Sensing Imagery: Kuanren Qian,

Yang He,

Mohamed Moustafa; [pdf] [supp]
[bibtex]
@InProceedings{Qian_2026_CVPR, author = {Qian, Kuanren and He, Yang and Moustafa, Mohamed}, title = {Rethinking Language Models for Building Outline Extraction from Remote Sensing Imagery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {8031-8040} }
Low-Data Supervised Adaptation Outperforms Prompting for Cloud Segmentation Under Domain Shift: Harshith Kethavath,

Weiming Hu; [pdf] [arXiv]
[bibtex]
@InProceedings{Kethavath_2026_CVPR, author = {Kethavath, Harshith and Hu, Weiming}, title = {Low-Data Supervised Adaptation Outperforms Prompting for Cloud Segmentation Under Domain Shift}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7960-7969} }
GlaSpectra: Data-Driven Spectral Learning for Ice Calving Front Forecasting: Rohan Putatunda,

Sanjay Purushotham,

Ratnaksha Lele,

Vandana P. Janeja; [pdf]
[bibtex]
@InProceedings{Putatunda_2026_CVPR, author = {Putatunda, Rohan and Purushotham, Sanjay and Lele, Ratnaksha and Janeja, Vandana P.}, title = {GlaSpectra: Data-Driven Spectral Learning for Ice Calving Front Forecasting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {8021-8030} }
50 Cities to visit before you classify - A world-wide multi-modal dataset for semantic segmentation of remote sensing imagery: Kenneth Weitzel,

Bruno Zabielski,

Johannes Heinrich,

Ronny Hänsch; [pdf] [supp]
[bibtex]
@InProceedings{Weitzel_2026_CVPR, author = {Weitzel, Kenneth and Zabielski, Bruno and Heinrich, Johannes and H\"ansch, Ronny}, title = {50 Cities to visit before you classify - A world-wide multi-modal dataset for semantic segmentation of remote sensing imagery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {8085-8094} }
SHRUG-FM: Reliability-Aware Foundation Models for Earth Observation: Maria Gonzalez-Calabuig,

Kai-Hendrik Cohrs,

Vishal Nedungadi,

Zuzanna Osika,

Ruben Cartuyvels,

Steffen Knoblauch,

Joppe Massant,

Shruti Nath,

Patrick Ebel,

Vasileios Sitokonstantinou; [pdf] [supp]
[bibtex]
@InProceedings{Gonzalez-Calabuig_2026_CVPR, author = {Gonzalez-Calabuig, Maria and Cohrs, Kai-Hendrik and Nedungadi, Vishal and Osika, Zuzanna and Cartuyvels, Ruben and Knoblauch, Steffen and Massant, Joppe and Nath, Shruti and Ebel, Patrick and Sitokonstantinou, Vasileios}, title = {SHRUG-FM: Reliability-Aware Foundation Models for Earth Observation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7919-7928} }
Where Do Vision-Language Models Fail? World Scale Analysis for Image Country Geolocalization.: Siddhant Bharadwaj,

Ashish Vashist,

Fahimul Aleem,

Shruti Vyas; [pdf] [supp]
[bibtex]
@InProceedings{Bharadwaj_2026_CVPR, author = {Bharadwaj, Siddhant and Vashist, Ashish and Aleem, Fahimul and Vyas, Shruti}, title = {Where Do Vision-Language Models Fail? World Scale Analysis for Image Country Geolocalization.}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7868-7877} }
Sat2Sound: A Unified Framework for Zero-Shot Soundscape Mapping: Subash Khanal,

Srikumar Sastry,

Aayush Dhakal,

Adeel Ahmad,

Abby Stylianou,

Nathan Jacobs; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Khanal_2026_CVPR, author = {Khanal, Subash and Sastry, Srikumar and Dhakal, Aayush and Ahmad, Adeel and Stylianou, Abby and Jacobs, Nathan}, title = {Sat2Sound: A Unified Framework for Zero-Shot Soundscape Mapping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7970-7979} }
NeuCo-Bench: A Novel Benchmark Framework for Neural Embeddings in Earth Observation: Rikard Vinge,

Isabelle Wittmann,

Jannik Schneider,

Michael Marszalek,

Luis Gilch,

Thomas Brunschwiler,

Conrad M Albrecht; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Vinge_2026_CVPR, author = {Vinge, Rikard and Wittmann, Isabelle and Schneider, Jannik and Marszalek, Michael and Gilch, Luis and Brunschwiler, Thomas and Albrecht, Conrad M}, title = {NeuCo-Bench: A Novel Benchmark Framework for Neural Embeddings in Earth Observation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {8063-8074} }
UniGeoCLIP: Unified Geospatial Contrastive Learning: Guillaume Astruc,

Eduard Trulls,

Jan Hosang,

Loic Landrieu,

Paul-Edouard Sarlin; [pdf] [arXiv]
[bibtex]
@InProceedings{Astruc_2026_CVPR, author = {Astruc, Guillaume and Trulls, Eduard and Hosang, Jan and Landrieu, Loic and Sarlin, Paul-Edouard}, title = {UniGeoCLIP: Unified Geospatial Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7847-7856} }
Sub-Meter Canopy Height Models from Sentinel-2 via Generative Flow Matching: Kiarie Ndegwa; [pdf]
[bibtex]
@InProceedings{Ndegwa_2026_CVPR, author = {Ndegwa, Kiarie}, title = {Sub-Meter Canopy Height Models from Sentinel-2 via Generative Flow Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {8011-8020} }
A Proxy Consistency Loss for Grounded Fusion of Earth Observation and Location Encoders: Zhongying Wang,

Kevin Lane,

Levi Cai,

Morteza Karimzadeh,

Esther Rolf; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2026_CVPR, author = {Wang, Zhongying and Lane, Kevin and Cai, Levi and Karimzadeh, Morteza and Rolf, Esther}, title = {A Proxy Consistency Loss for Grounded Fusion of Earth Observation and Location Encoders}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {8075-8084} }
SatUnreal: A High-Precision Synthetic Dataset for Satellite Stereo Matching via Unreal Engine: Han-Gyeol Kim,

JaeWan Park,

Junmin Park,

Darongsae Kwon; [pdf] [supp]
[bibtex]
@InProceedings{Kim_2026_CVPR, author = {Kim, Han-Gyeol and Park, JaeWan and Park, Junmin and Kwon, Darongsae}, title = {SatUnreal: A High-Precision Synthetic Dataset for Satellite Stereo Matching via Unreal Engine}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7990-7999} }