Hannah Kerner
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
5
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | A Woman with a Knife or A Knife with a Woman? Measuring Directional Bias Amplification in Image Captions. | Rahul Nair, Bhanu Tokas, Hannah Kerner |
| 2025 | AAAI | Data Augmentation Approaches for Satellite Imagery. | Laurel M. Hopkins, Weng-Keen Wong, Hannah Kerner, Fuxin Li, Rebecca A. Hutchinson |
| 2025 | AAAI | 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 |
| 2025 | AAAI | Hotspotter: A Generalizable Pipeline for Automated Detection of Subtle Volcanic Thermal Features in Satellite Images. | Aditya Mohan, Andie Gomez-Patron, Matthew Pritchard, Hannah Kerner |
| 2025 | CVPR | Classification Drives Geographic Bias in Street Scene Segmentation. | Rahul Nair, Bhanu Tokas, Gabriel Tseng, Esther Rolf, Hannah Kerner |
| 2025 | CVPR | Task-Informed Meta-Learning for Remote Sensing. | Gabriel Tseng, Hannah Kerner, David Rolnick |
| 2025 | ICML | Deploying Geospatial Foundation Models in the Real World: Lessons from WorldCereal. | Christina Butsko, Gabriel Tseng, Kristof Van Tricht, Giorgia Milli, David Rolnick, Ruben Cartuyvels, Inbal Becker-Reshef, Zoltan Szantoi, Hannah Kerner |
| 2025 | ICML | 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 |
| 2024 | CVPR | Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images. | Aayush Dhakal, Adeel Ahmad, Subash Khanal, Srikumar Sastry, Hannah Kerner, Nathan Jacobs |
| 2024 | ICML | Position: Mission Critical - Satellite Data is a Distinct Modality in Machine Learning. | Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner |
| 2024 | ICML | Position: Application-Driven Innovation in Machine Learning. | David Rolnick, Aln Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White |
| 2024 | WACV | ConeQuest: A Benchmark for Cone Segmentation on Mars. | Mirali Purohit, Jacob B. Adler, Hannah Kerner |
| 2023 | AAAI | OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data. | Ivan Zvonkov, Gabriel Tseng, Catherine Nakalembe, Hannah Kerner |
| 2021 | CVPR | Learning To Predict Crop Type From Heterogeneous Sparse Labels Using Meta-Learning. | Gabriel Tseng, Hannah Kerner, Catherine Nakalembe, Inbal Becker-Reshef |
| 2021 | IGARSS | COIVD-19 Impact Monitoring for Agriculutre. | Benjamin Koetz, Bradley Doorn, Shin-ichi Sobue, Inbal Becker-Reshef, Pierre Defourny, Sophie Bontemps, Philippe Malcorps, Pierre Houdmont, Brian Barker, Christina Justice, Hannah Kerner, Gabriel Tseng, Kei Oyoshi, Yoshinobu Sasaki, Keishiro Nakamoto, Olaf Veerman |