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Hannah Kerner
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2020 – today
- 2024
- [c12]Aayush Dhakal, Adeel Ahmad, Subash Khanal, Srikumar Sastry, Hannah Kerner, Nathan Jacobs:
Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images. CVPR Workshops 2024: 533-542 - [c11]Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner:
Position: Mission Critical - Satellite Data is a Distinct Modality in Machine Learning. ICML 2024 - [c10]David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White:
Position: Application-Driven Innovation in Machine Learning. ICML 2024 - [c9]Mirali Purohit, Jacob B. Adler, Hannah Kerner:
ConeQuest: A Benchmark for Cone Segmentation on Mars. WACV 2024: 6014-6023 - [i22]Nils C. Prieur, Brian Amaro, Emiliano Gonzalez, Hannah Kerner, Sergei Medvedev, Lior Rubanenko, Stephanie C. Werner, Zhiyong Xiao, Dmitry Zastrozhnov, Mathieu G. A. Lapôtre:
Automatic characterization of boulders on planetary surfaces from high-resolution satellite images. CoRR abs/2401.07528 (2024) - [i21]Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner:
Mission Critical - Satellite Data is a Distinct Modality in Machine Learning. CoRR abs/2402.01444 (2024) - [i20]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 abs/2403.17381 (2024) - [i19]Hannah Kerner, Saketh Sundar, Mathan Satish:
Multi-Region Transfer Learning for Segmentation of Crop Field Boundaries in Satellite Images with Limited Labels. CoRR abs/2404.00179 (2024) - [i18]Chenwei Cui, Zehao Yan, Gedeon Muhawenayo, Hannah Kerner:
An All-MLP Sequence Modeling Architecture That Excels at Copying. CoRR abs/2406.16168 (2024) - [i17]Vasileios Sitokonstantinou, Emiliano Díaz Salas Porras, Jordi Cerdà-Bautista, Maria Piles, Ioannis Athanasiadis, Hannah Kerner, Giulia Martini, Lily-belle Sweet, Ilias Tsoumas, Jakob Zscheischler, Gustau Camps-Valls:
Causal machine learning for sustainable agroecosystems. CoRR abs/2408.13155 (2024) - [i16]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:
Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation. CoRR abs/2409.16252 (2024) - [i15]Bhanu Tokas, Rahul Nair, Hannah Kerner:
Making Bias Amplification in Balanced Datasets Directional and Interpretable. CoRR abs/2412.11060 (2024) - [i14]Rahul Nair, Gabriel Tseng, Esther Rolf, Bhanu Tokas, Hannah Kerner:
Classification Drives Geographic Bias in Street Scene Segmentation. CoRR abs/2412.11061 (2024) - 2023
- [c8]Ivan Zvonkov, Gabriel Tseng, Catherine Nakalembe, Hannah Kerner:
OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data. AAAI 2023: 14655-14663 - [c7]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: 110-120 - [c6]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 - [i13]Gabriel Tseng, Ivan Zvonkov, Mirali Purohit, David Rolnick, Hannah Kerner:
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries. CoRR abs/2304.14065 (2023) - [i12]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 abs/2306.03831 (2023) - [i11]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 abs/2307.02575 (2023) - [i10]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 abs/2307.08774 (2023) - [i9]Mirali Purohit, Jacob B. Adler, Hannah Kerner:
ConeQuest: A Benchmark for Cone Segmentation on Mars. CoRR abs/2311.08657 (2023) - [i8]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 abs/2312.10819 (2023) - 2022
- [j8]Madeleine R. Manheim, Megan R. Henriksen, Mark S. Robinson, Hannah Rae Kerner, Bradley A. Karas
, Kris J. Becker
, Matthew Chojnacki, Sarah S. Sutton
, David T. Blewett:
High-Resolution Regional Digital Elevation Models and Derived Products from MESSENGER MDIS Images. Remote. Sens. 14(15): 3564 (2022) - [c5]Hannah Rae Kerner, Jacob B. Adler:
Guiding Field Exploration on Earth and Mars with Outlier Detection. IGARSS 2022: 5333-5336 - [i7]Gabriel Tseng, Hannah Kerner, David Rolnick:
TIML: Task-Informed Meta-Learning for Agriculture. CoRR abs/2202.02124 (2022) - 2021
- [j7]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): 2430 (2021) - [j6]Patrick C. Gray
, Diego F. Chamorro
, Justin T. Ridge
, Hannah Rae Kerner
, Emily A. Ury
, David W. Johnston
:
Temporally Generalizable Land Cover Classification: A Recurrent Convolutional Neural Network Unveils Major Coastal Change through Time. Remote. Sens. 13(19): 3953 (2021) - [c4]Gabriel Tseng, Hannah Kerner, Catherine Nakalembe
, Inbal Becker-Reshef
:
Learning To Predict Crop Type From Heterogeneous Sparse Labels Using Meta-Learning. CVPR Workshops 2021: 1111-1120 - [c3]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: 1567-1570 - [c2]Gabriel Tseng, Ivan Zvonkov, Catherine Nakalembe, Hannah Kerner:
CropHarvest: A global dataset for crop-type classification. NeurIPS Datasets and Benchmarks 2021 - [i6]Paul Horton, Hannah Rae Kerner, Samantha Jacob, Ernest Cisneros, Kiri L. Wagstaff, James F. Bell:
Integrating Novelty Detection Capabilities with MSL Mastcam Operations to Enhance Data Analysis. CoRR abs/2103.12815 (2021) - [i5]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 abs/2107.14372 (2021) - [i4]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 abs/2112.00570 (2021) - 2020
- [j5]Hannah Rae Kerner
, Kiri L. Wagstaff, Brian D. Bue, Danika F. Wellington, Samantha Jacob, Paul Horton, James F. Bell, Chiman Kwan
, Heni Ben Amor:
Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions. Data Min. Knowl. Discov. 34(6): 1642-1675 (2020) - [j4]Mehdi Hosseini, Hannah Rae Kerner
, Ritvik Sahajpal
, Estefania Puricelli, Yu-Hsiang Lu, Afolarin Fahd Lawal
, Michael L. Humber, Mary Mitkish, Seth Meyer, Inbal Becker-Reshef
:
Evaluating the Impact of the 2020 Iowa Derecho on Corn and Soybean Fields Using Synthetic Aperture Radar. Remote. Sens. 12(23): 3878 (2020) - [i3]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 abs/2004.03023 (2020) - [i2]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 abs/2006.16866 (2020) - [i1]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 abs/2009.10189 (2020)
2010 – 2019
- 2019
- [b1]Hannah Rae Kerner:
Machine Learning on Mars: A New Lens on Data from Planetary Exploration Missions. Arizona State University, Tempe, USA, 2019 - [j3]Hannah Rae Kerner
, Kiri L. Wagstaff
, Brian D. Bue
, Patrick C. Gray
, James F. Bell III
, Heni Ben Amor
:
Toward Generalized Change Detection on Planetary Surfaces With Convolutional Autoencoders and Transfer Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(10): 3900-3918 (2019) - [c1]Hannah Rae Kerner, Danika F. Wellington, Kiri L. Wagstaff, James F. Bell, Chiman Kwan, Heni Ben Amor:
Novelty Detection for Multispectral Images with Application to Planetary Exploration. AAAI 2019: 9484-9491 - 2018
- [j2]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: 109-121 (2018) - [j1]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): 749-756 (2018)
Coauthor Index

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last updated on 2025-01-22 21:33 CET by the dblp team
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