Gabriel Tseng

According to our database, Gabriel Tseng authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

2024

Classification Drives Geographic Bias in Street Scene Segmentation.

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

CoRR, 2024

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