Hannah Kerner

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 27

Top Topics

Nearest Neighbor

Quality Assessment

Machine Learning

Top Venues

GeoAI@SIGSPATIAL

Signal Image Video Process.

Publications

Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
Mission Critical - Satellite Data is a Distinct Modality in Machine Learning. CoRR (2024)
Chenwei Cui, Zehao Yan, Gedeon Muhawenayo, Hannah Kerner
An All-MLP Sequence Modeling Architecture That Excels at Copying. CoRR (2024)
Mirali Purohit, Jacob B. Adler, Hannah Kerner
ConeQuest: A Benchmark for Cone Segmentation on Mars. WACV (2024)
Hannah Kerner, Saketh Sundar, Mathan Satish
Multi-Region Transfer Learning for Segmentation of Crop Field Boundaries in Satellite Images with Limited Labels. CoRR (2024)
David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White
Application-Driven Innovation in Machine Learning. CoRR (2024)
Nils C. Prieur, Brian Amaro, Emiliano Gonzalez, Hannah Kerner, Sergei Medvedev, Lior Rubanenko, Stephanie C. Werner, Zhiyong Xiao8, Dmitry Zastrozhnov, Mathieu G. A. Lapôtre
Automatic characterization of boulders on planetary surfaces from high-resolution satellite images. CoRR (2024)
Shrey Malvi, Hitansh Shah, Niketan Chandarana, Mirali Purohit, Jacob B. Adler, Hannah Kerner
Automated Multi-class Crater Segmentation in Mars Orbital Images. GeoAI@SIGSPATIAL (2023)
Alexandre Lacoste, Nils Lehmann, Pau Rodríguez, Evan David Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Andrew Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vázquez, Dava Newman, Yoshua Bengio, Stefano Ermon, Xiao Xiang Zhu
GEO-Bench: Toward Foundation Models for Earth Monitoring. CoRR (2023)
Hannah Kerner, Catherine Nakalembe, Benjamin Yeh, Ivan Zvonkov, Sergii Skakun, Inbal Becker-Reshef, Amy McNally
Satellite Data Shows Resilience of Tigrayan Farmers in Crop Cultivation During Civil War. CoRR (2023)
Ivan Zvonkov, Gabriel Tseng, Catherine Nakalembe, Hannah Kerner
OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data. AAAI (2023)
Mirali Purohit, Jacob B. Adler, Hannah Kerner
ConeQuest: A Benchmark for Cone Segmentation on Mars. CoRR (2023)
Hannah Kerner, Catherine Nakalembe, Adam Yang, Ivan Zvonkov, Ryan McWeeny, Gabriel Tseng, Inbal Becker-Reshef
How accurate are existing land cover maps for agriculture in Sub-Saharan Africa? CoRR (2023)
Gabriel Tseng, Ivan Zvonkov, Mirali Purohit, David Rolnick, Hannah Kerner
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries. CoRR (2023)
Lily Xu, Esther Rolf, Sara Beery, Joseph R. Bennett, Tanya Y. Berger-Wolf, Tanya Birch, Elizabeth Bondi-Kelly, Justin Brashares, Melissa S. Chapman, Anthony Corso, Andrew Davies, Nikhil Garg, Angela Gaylard, Robert Heilmayr, Hannah Kerner, Konstantin Klemmer, Vipin Kumar, Lester Mackey, Claire Monteleoni, Paul Moorcroft, Jonathan Palmer, Andrew Perrault, David Thau, Milind Tambe
Reflections from the Workshop on AI-Assisted Decision Making for Conservation. CoRR (2023)
Alexandre Lacoste, Nils Lehmann, Pau Rodríguez, Evan D. Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vázquez, Dava Newman, Yoshua Bengio, Stefano Ermon, Xiaoxiang Zhu
GEO-Bench: Toward Foundation Models for Earth Monitoring. NeurIPS (2023)
Gabriel Tseng, Hannah Kerner, David Rolnick
TIML: Task-Informed Meta-Learning for Agriculture. CoRR (2022)
Gabriel Tseng, Hannah Kerner, Catherine Nakalembe, Inbal Becker-Reshef
Learning To Predict Crop Type From Heterogeneous Sparse Labels Using Meta-Learning. CVPR Workshops (2021)
Afolarin Fahd Lawal, Hannah Kerner, Inbal Becker-Reshef, Seth Meyer
Mapping the Location and Extent of 2019 Prevent Planting Acres in South Dakota Using Remote Sensing Techniques. Remote. Sens. 13 (13) (2021)
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
COIVD-19 Impact Monitoring for Agriculutre. IGARSS (2021)
Gabriel Tseng, Ivan Zvonkov, Catherine Nakalembe, Hannah Kerner
CropHarvest: A global dataset for crop-type classification. NeurIPS Datasets and Benchmarks (2021)
Alexandre Lacoste, Evan David Sherwin, Hannah Kerner, Hamed Alemohammad, Björn Lütjens, Jeremy Irvin, David Dao, Alex Chang, Mehmet Gunturkun, Alexandre Drouin, Pau Rodríguez, David Vázquez
Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark. CoRR (2021)
Robert Huppertz, Catherine Nakalembe, Hannah Kerner, Ramani Lachyan, Maxime Rischard
Using transfer learning to study burned area dynamics: A case study of refugee settlements in West Nile, Northern Uganda. CoRR (2021)
Hannah Kerner, Gabriel Tseng, Inbal Becker-Reshef, Catherine Nakalembe, Brian Barker, Blake Munshell, Madhava Paliyam, Mehdi Hosseini
Rapid Response Crop Maps in Data Sparse Regions. CoRR (2020)
Hannah Kerner, Ritvik Sahajpal, Sergii Skakun, Inbal Becker-Reshef, Brian Barker, Mehdi Hosseini, Estefania Puricelli, Patrick C. Gray
Resilient In-Season Crop Type Classification in Multispectral Satellite Observations using Growth Stage Normalization. CoRR (2020)
Hannah Kerner, Catherine Nakalembe, Inbal Becker-Reshef
Field-Level Crop Type Classification with k Nearest Neighbors: A Baseline for a New Kenya Smallholder Dataset. CoRR (2020)
Chiman Kwan, Bryan Chou, Li-Yun Martin Kwan, Jude Larkin, Bulent Ayhan, James F. Bell III, Hannah Kerner
Demosaicing enhancement using pixel-level fusion. Signal Image Video Process. 12 (4) (2018)
Hannah Kerner, James F. Bell III, Heni Ben Amor
Context-dependent image quality assessment of JPEG compressed Mars Science Laboratory Mastcam images using convolutional neural networks. Comput. Geosci. 118 (2018)