Gabriel Tseng

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 9

Top Topics

Top Venues

NeurIPS Datasets and Benchmarks

Publications

Ivan Zvonkov, Gabriel Tseng, Catherine Nakalembe, Hannah Kerner
OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data. AAAI (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)
Gabriel Tseng, Hannah Kerner, David Rolnick
TIML: Task-Informed Meta-Learning for Agriculture. CoRR (2022)
Thomas Lees, Gabriel Tseng, Clement Atzberger, Steven Reece, Simon J. Dadson
Deep Learning for Vegetation Health Forecasting: A Case Study in Kenya. Remote. Sens. 14 (3) (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)
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)
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)