Caleb Robinson

Caleb Robinson

Principal Research Scientist at Microsoft's AI for Good Lab - Geospatial ML center

PRUE: A Practical Recipe for Field Boundary Segmentation at Scale

Gedeon Muhawenayo, Caleb Robinson, Subash Khanal, Zhanpei Fang, Isaac Corley, Alexander Wollam, Tianyi Gao, Leonard Strnad, Ryan Avery, Lyndon Estes, Ana Tarano, Nathan Jacobs, Hannah Kerner. "PRUE: A Practical Recipe for Field Boundary Segmentation at Scale." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.

Paper / arXiv

Cite as:

@inproceedings{muhawenayo2026prue,
    author = "Muhawenayo, Gedeon and Robinson, Caleb and Khanal, Subash and Fang, Zhanpei and Corley, Isaac and Wollam, Alexander and Gao, Tianyi and Strnad, Leonard and Avery, Ryan and Estes, Lyndon and T{\'a}rano, Ana and Jacobs, Nathan and Kerner, Hannah",
    title = "PRUE: A Practical Recipe for Field Boundary Segmentation at Scale",
    booktitle = "Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
    pages = "6484--6495",
    year = "2026",
    url = "https://openaccess.thecvf.com/content/CVPR2026/html/Muhawenayo_PRUE_A_Practical_Recipe_for_Field_Boundary_Segmentation_at_Scale_CVPR_2026_paper.html"
}