Kerner, Hannah

15 publications

CVPRW 2025 Classification Drives Geographic Bias in Street Scene Segmentation Rahul Nair, Bhanu Tokas, Gabriel Tseng, Esther Rolf, Hannah Kerner

NeurIPS 2025 DPA: A One-Stop Metric to Measure Bias Amplification in Classification Datasets Bhanu Tokas, Rahul Nair, Hannah Kerner

AAAI 2025 Data Augmentation Approaches for Satellite Imagery Laurel M. Hopkins, Weng-Keen Wong, Hannah Kerner, Fuxin Li, Rebecca A. Hutchinson

AAAI 2025 Fields of the World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus

ICML 2025 Galileo: Learning Global & Local Features of Many Remote Sensing Modalities Gabriel Tseng, Anthony Fuller, Marlena Reil, Henry Herzog, Patrick Beukema, Favyen Bastani, James R Green, Evan Shelhamer, Hannah Kerner, David Rolnick

AAAI 2025 Hotspotter: A Generalizable Pipeline for Automated Detection of Subtle Volcanic Thermal Features in Satellite Images Aditya Mohan, Andie Gomez-Patron, Matthew Pritchard, Hannah Kerner

NeurIPS 2025 Mars-Bench: A Benchmark for Evaluating Foundation Models for Mars Science Tasks Mirali Purohit, Bimal Gajera, Vatsal Malaviya, Irish Mehta, Kunal Sunil Kasodekar, Jacob Adler, Steven Lu, Umaa Rebbapragada, Hannah Kerner

CVPRW 2025 Task-Informed Meta-Learning for Remote Sensing Gabriel Tseng, Hannah Kerner, David Rolnick

WACV 2024 ConeQuest: A Benchmark for Cone Segmentation on Mars Mirali Purohit, Jacob Adler, Hannah Kerner

ICML 2024 Position: Application-Driven Innovation in Machine Learning David Rolnick, Alan Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White

ICML 2024 Position: Mission Critical – Satellite Data Is a Distinct Modality in Machine Learning Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner

CVPRW 2024 Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images Aayush Dhakal, Adeel Ahmad, Subash Khanal, Srikumar Sastry, Hannah Kerner, Nathan Jacobs

NeurIPS 2023 GEO-Bench: Toward Foundation Models for Earth Monitoring Alexandre Lacoste, Nils Lehmann, Pau Rodriguez, Evan Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vazquez, Dava Newman, Yoshua Bengio, Stefano Ermon, Xiaoxiang Zhu

AAAI 2023 OpenMapFlow: A Library for Rapid mAP Creation with Machine Learning and Remote Sensing Data Ivan Zvonkov, Gabriel Tseng, Catherine Nakalembe, Hannah Kerner

CVPRW 2021 Learning to Predict Crop Type from Heterogeneous Sparse Labels Using Meta-Learning Gabriel Tseng, Hannah Kerner, Catherine Nakalembe, Inbal Becker-Reshef