The Second CVPR Workshop on Foundation and Large Vision Models in Remote Sensing (MORSE)
VP-GIS: Zero-Shot Spatiotemporal Land Cover Change Detection via Physical-Guided Visual Prompting-
[pdf]
[bibtex]@InProceedings{Putra_2026_CVPR, author = {Putra, Muhamad Iqbal Januadi and Gustini, Atika and Haris, Muhammad Chaidir and Irwansyah, Edy and Abdurrahman, Raka Admiral and Supriatna, Supriatna and Alexander, Vincent}, title = {VP-GIS: Zero-Shot Spatiotemporal Land Cover Change Detection via Physical-Guided Visual Prompting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7802-7810} }
Asynchronous Remote Sensing Time-Series Fusion for Cloud Removal and Anytime Reconstruction-
[pdf]
[bibtex]@InProceedings{Fallah_2026_CVPR, author = {Fallah, Forouzan and Hsu, Chia-Yu and Li, Wenwen and Liljedahl, Anna and Yang, Yezhou}, title = {Asynchronous Remote Sensing Time-Series Fusion for Cloud Removal and Anytime Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7772-7780} }
GeoMeld: Toward Semantically Grounded Foundation Models for Remote Sensing-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hasan_2026_CVPR, author = {Hasan, Maram and Hossain, Md Aminur and Roy, Savitra and Bhowmik, Souparna and Patel, Ayush V. and Singha, Mainak and Chaudhuri, Subhasis and Khan, Muhammad Haris and Banerjee, Biplab}, title = {GeoMeld: Toward Semantically Grounded Foundation Models for Remote Sensing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7792-7801} }
Geometry-Aware Coresets for Efficient Spatial Reasoning with Foundation Models in Low-Resource Remote Sensing-
[pdf]
[bibtex]@InProceedings{Shinde_2026_CVPR, author = {Shinde, Tushar}, title = {Geometry-Aware Coresets for Efficient Spatial Reasoning with Foundation Models in Low-Resource Remote Sensing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7829-7836} }
Open-Vocabulary Change Detection via Synthetic Examples and Grounded Visual Models-
[pdf]
[bibtex]@InProceedings{Saha_2026_CVPR, author = {Saha, Sudipan}, title = {Open-Vocabulary Change Detection via Synthetic Examples and Grounded Visual Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7811-7820} }
Effective-Dimension Control of b in Dirichlet b-VAE for Blind Hyperspectral Unmixing-
[pdf]
[bibtex]@InProceedings{Doutsas_2026_CVPR, author = {Doutsas, Delphine and Figliuzzi, Bruno}, title = {Effective-Dimension Control of b in Dirichlet b-VAE for Blind Hyperspectral Unmixing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7762-7771} }
DINO Soars: DINOv3 for Open-Vocabulary Semantic Segmentation of Remote Sensing Imagery-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Faulkenberry_2026_CVPR, author = {Faulkenberry, Ryan and Prasad, Saurabh}, title = {DINO Soars: DINOv3 for Open-Vocabulary 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 = {7781-7791} }
VegSAM: Vegetation-aware Adapter for Segment Anything Model in Urban Tree Segmentation-
[pdf]
[bibtex]@InProceedings{Wu_2026_CVPR, author = {Wu, Chenxiang and Li, Chenyu and Hong, Danfeng}, title = {VegSAM: Vegetation-aware Adapter for Segment Anything Model in Urban Tree Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7837-7846} }
Improving Visual Grounding in Remote Sensing Via Cluster-Guided Refinement and Model Ensemble Voting-
[pdf]
[bibtex]@InProceedings{Shah_2026_CVPR, author = {Shah, Panav and Sethi, Geet and Gandhe, Ashutosh}, title = {Improving Visual Grounding in Remote Sensing Via Cluster-Guided Refinement and Model Ensemble Voting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7821-7828} }

