Sherrie Wang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Remote Sensing Imagery

Weakly Supervised

Land Cover Classification

Top Venues

Publications

Chenhui Zhang, Sherrie Wang
Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data. CoRR (2024)
Jordi Laguarta Soler, Thomas Friedel, Sherrie Wang
Combining Deep Learning and Street View Imagery to Map Smallholder Crop Types. AAAI (2024)
Stefania Di Tommaso, Sherrie Wang, Vivek Vajipey, Noel Gorelick, Rob Strey, David B. Lobell
Annual Field-Scale Maps of Tall and Short Crops at the Global Scale Using GEDI and Sentinel-2. Remote. Sens. 15 (17) (2023)
Jordi Laguarta, Thomas Friedel, Sherrie Wang
Combining deep learning and street view imagery to map smallholder crop types. CoRR (2023)
Philippe Rufin, Sherrie Wang, Sá Nogueira Lisboa, Jan Hemmerling, Mirela G. Tulbure, Patrick Meyfroidt
Taking it further: leveraging pseudo labels for field delineation across label-scarce smallholder regions. CoRR (2023)
Sherrie Wang, François Waldner, David B. Lobell
Unlocking Large-Scale Crop Field Delineation in Smallholder Farming Systems with Transfer Learning and Weak Supervision. Remote. Sens. 14 (22) (2022)
Stefania Di Tommaso, Sherrie Wang, Vivek Vajipey, Noel Gorelick, Rob Strey, David B. Lobell
Annual field-scale maps of tall and short crops at the global scale using GEDI and Sentinel-2. CoRR (2022)
Sherrie Wang, François Waldner, David B. Lobell
Unlocking large-scale crop field delineation in smallholder farming systems with transfer learning and weak supervision. CoRR (2022)
Ju Young Lee, Sherrie Wang, Anjuli Jain Figueroa, Rob Strey, David B. Lobell, Rosamond L. Naylor, Steven M. Gorelick
Mapping Sugarcane in Central India with Smartphone Crowdsourcing. Remote. Sens. 14 (3) (2022)
Marc Rußwurm, Sherrie Wang, Devis Tuia
Humans are Poor Few-Shot Classifiers for Sentinel-2 Land Cover. IGARSS (2022)
Dan M. Kluger, Sherrie Wang, David B. Lobell
Two Shifts for Crop Mapping: Leveraging Aggregate Crop Statistics to Improve Satellite-based Maps in New Regions. CoRR (2021)
Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Janel Lee, Marshall Burke, David B. Lobell, Stefano Ermon
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning. NeurIPS Datasets and Benchmarks (2021)
Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Janel Lee, Marshall Burke, David B. Lobell, Stefano Ermon
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning. CoRR (2021)
Stefania Di Tommaso, Sherrie Wang, David B. Lobell
Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops. CoRR (2021)
Sherrie Wang, William Chen, Sang Michael Xie, George Azzari, David B. Lobell
Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery. Remote. Sens. 12 (2) (2020)
Marc Rußwurm, Sherrie Wang, Marco Körner, David B. Lobell
Meta-Learning for Few-Shot Land Cover Classification. CVPR Workshops (2020)
Marc Rußwurm, Sherrie Wang, Marco Körner, David B. Lobell
Meta-Learning for Few-Shot Land Cover Classification. CoRR (2020)
David B. Lobell, Walter T. Dado, Jillian M. Deines, Stefania Di Tommaso, Sherrie Wang
Landsat-Based Reconstruction of Corn and Soybean Yield Histories in the United States Since 1999. IGARSS (2020)
Sherrie Wang, Stefania Di Tommaso, Joey Faulkner, Thomas Friedel, Alexander Kennepohl, Rob Strey, David B. Lobell
Mapping Crop Types in Southeast India with Smartphone Crowdsourcing and Deep Learning. Remote. Sens. 12 (18) (2020)
Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David B. Lobell, Stefano Ermon
Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data. AAAI (2019)
Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David B. Lobell, Stefano Ermon
Tile2Vec: Unsupervised representation learning for spatially distributed data. CoRR (2018)