Gabriel Tseng

According to our database, Gabriel Tseng authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

High-Resolution Live Fuel Moisture Content (LFMC) Maps for Wildfire Risk from Multimodal Earth Observation Data.

Patrick Alan Johnson, Gabriel Tseng, Yawen Zhang, Heather Heward, Virginia Sjahli, Favyen Bastani, Joseph Redmon, Patrick Beukema

CoRR, June, 2025

DataS^3: Dataset Subset Selection for Specialization.

Neha Hulkund, Alaa Maalouf, Levi Cai, Daniel Yang, Tsun-Hsuan Wang, Abigail O'Neil, Timm Haucke, Sandeep Mukherjee, Vikram Ramaswamy, Judy Hansen Shen, Gabriel Tseng, Mike Walmsley, Daniela Rus, Ken Goldberg, Hannah Kerner, Irene Chen, Yogesh A. Girdhar, Sara Beery

CoRR, April, 2025

Galileo: Learning Global and Local Features in Pretrained Remote Sensing Models.

Gabriel Tseng, Anthony Fuller, Marlena Reil, Henry Herzog, Patrick Beukema, Favyen Bastani, James R. Green, Evan Shelhamer, Hannah Kerner, David Rolnick

CoRR, February, 2025

Task-Informed Meta-Learning for Remote Sensing.

Gabriel Tseng, Hannah Kerner, David Rolnick

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Classification Drives Geographic Bias in Street Scene Segmentation.

Rahul Nair, Bhanu Tokas, Gabriel Tseng, Esther Rolf, Hannah Kerner

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2023

How accurate are existing land cover maps for agriculture in Sub-Saharan Africa?

Hannah Kerner, Catherine Nakalembe, Adam Yang, Ivan Zvonkov, Ryan McWeeny, Gabriel Tseng, Inbal Becker-Reshef

CoRR, 2023

Lightweight, Pre-trained Transformers for Remote Sensing Timeseries.

Gabriel Tseng, Ivan Zvonkov, Mirali Purohit, David Rolnick, Hannah Kerner

CoRR, 2023

OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data.

Ivan Zvonkov, Gabriel Tseng, Catherine Nakalembe, Hannah Kerner

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Deep Learning for Vegetation Health Forecasting: A Case Study in Kenya.

Thomas Lees, Gabriel Tseng, Clement Atzberger, Steven Reece, Simon J. Dadson

Remote. Sens., 2022

TIML: Task-Informed Meta-Learning for Agriculture.

Gabriel Tseng, Hannah Kerner, David Rolnick

CoRR, 2022

2021

CropHarvest: A global dataset for crop-type classification.

Gabriel Tseng, Ivan Zvonkov, Catherine Nakalembe, Hannah Kerner

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Learning To Predict Crop Type From Heterogeneous Sparse Labels Using Meta-Learning.

Gabriel Tseng, Hannah Kerner, Catherine Nakalembe, Inbal Becker-Reshef

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Rapid Response Crop Maps in Data Sparse Regions.

Hannah Kerner, Gabriel Tseng, Inbal Becker-Reshef, Catherine Nakalembe, Brian Barker, Blake Munshell, Madhava Paliyam, Mehdi Hosseini

CoRR, 2020