Sherrie Wang

According to our database, Sherrie Wang authored at least 16 papers between 2019 and 2024.

Collaborative distances:

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

2024

Multi-modal graph neural networks for localized off-grid weather forecasting.

Qidong Yang, Jonathan Giezendanner, Daniel Salles Civitarese, Johannes Jakubik, Eric Schmitt, Anirban Chandra, Jeremy Vila, Detlef Hohl, Christopher Hill, Campbell D. Watson, Sherrie Wang

CoRR, 2024

Taking it further: Leveraging pseudo-labels for field delineation across label-scarce smallholder regions.

Philippe Rufin, Sherrie Wang, Sá Nogueira Lisboa, Jan Hemmerling, Mirela G. Tulbure, Patrick Meyfroidt

Int. J. Appl. Earth Obs. Geoinformation, 2024

Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data.

Chenhui Zhang, Sherrie Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Combining Deep Learning and Street View Imagery to Map Smallholder Crop Types.

Jordi Laguarta Soler, Thomas Friedel, Sherrie Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Annual Field-Scale Maps of Tall and Short Crops at the Global Scale Using GEDI and Sentinel-2.

Stefania Di Tommaso, Sherrie Wang, Vivek Vajipey, Noel Gorelick, Rob Strey, David B. Lobell

Remote. Sens., September, 2023

2022

Unlocking Large-Scale Crop Field Delineation in Smallholder Farming Systems with Transfer Learning and Weak Supervision.

Sherrie Wang, François Waldner, David B. Lobell

Remote. Sens., 2022

Mapping Sugarcane in Central India with Smartphone Crowdsourcing.

Ju Young Lee, Sherrie Wang, Anjuli Jain Figueroa, Rob Strey, David B. Lobell, Rosamond L. Naylor, Steven M. Gorelick

Remote. Sens., 2022

Humans are Poor Few-Shot Classifiers for Sentinel-2 Land Cover.

Marc Rußwurm, Sherrie Wang, Devis Tuia

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops.

Stefania Di Tommaso, Sherrie Wang, David B. Lobell

CoRR, 2021

Two Shifts for Crop Mapping: Leveraging Aggregate Crop Statistics to Improve Satellite-based Maps in New Regions.

Dan M. Kluger, Sherrie Wang, David B. Lobell

CoRR, 2021

SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning.

Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Janel Lee, Marshall Burke, David B. Lobell, Stefano Ermon

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

2020

Mapping Crop Types in Southeast India with Smartphone Crowdsourcing and Deep Learning.

Sherrie Wang, Stefania Di Tommaso, Joey Faulkner, Thomas Friedel, Alexander Kennepohl, Rob Strey, David B. Lobell

Remote. Sens., 2020

Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery.

Sherrie Wang, William Chen, Sang Michael Xie, George Azzari, David B. Lobell

Remote. Sens., 2020

Landsat-Based Reconstruction of Corn and Soybean Yield Histories in the United States Since 1999.

David B. Lobell, Walter T. Dado, Jillian M. Deines, Stefania Di Tommaso, Sherrie Wang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Meta-Learning for Few-Shot Land Cover Classification.

Marc Rußwurm, Sherrie Wang, Marco Körner, David B. Lobell

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data.

Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David B. Lobell, Stefano Ermon

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019