Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for David Lobell

Geography-Aware Self-Supervised Learning


Dec 02, 2020
Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David Lobell, Stefano Ermon


  Access Paper or Ask Questions

Predicting Livelihood Indicators from Crowdsourced Street Level Images


Jun 27, 2020
Jihyeon Janel Lee, Dylan Grosz, Sicheng Zeng, Burak Uzkent, Marshall Burke, David Lobell, Stefano Ermon


  Access Paper or Ask Questions

Efficient Poverty Mapping using Deep Reinforcement Learning


Jun 07, 2020
Kumar Ayush, Burak Uzkent, Marshall Burke, David Lobell, Stefano Ermon


  Access Paper or Ask Questions

Meta-Learning for Few-Shot Land Cover Classification


Apr 28, 2020
Marc Rußwurm, Sherrie Wang, Marco Körner, David Lobell

* accepted to the CVPR 2020 EarthVision Workshop 

  Access Paper or Ask Questions

Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks


Apr 20, 2020
Han Lin Aung, Burak Uzkent, Marshall Burke, David Lobell, Stefano Ermon


  Access Paper or Ask Questions

Generating Interpretable Poverty Maps using Object Detection in Satellite Images


Feb 18, 2020
Kumar Ayush, Burak Uzkent, Marshall Burke, David Lobell, Stefano Ermon


  Access Paper or Ask Questions

Predicting Economic Development using Geolocated Wikipedia Articles


May 11, 2019
Evan Sheehan, Chenlin Meng, Matthew Tan, Burak Uzkent, Neal Jean, David Lobell, Marshall Burke, Stefano Ermon

* Accepted to KDD 2019 

  Access Paper or Ask Questions

Learning to Interpret Satellite Images in Global Scale Using Wikipedia


May 11, 2019
Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David Lobell, Stefano Ermon

* Accepted to IJCAI 2019 

  Access Paper or Ask Questions

Mapping Missing Population in Rural India: A Deep Learning Approach with Satellite Imagery


May 04, 2019
Wenjie Hu, Jay Harshadbhai Patel, Zoe-Alanah Robert, Paul Novosad, Samuel Asher, Zhongyi Tang, Marshall Burke, David Lobell, Stefano Ermon

* AAAI/ACM Conference on AI, Ethics, and Society (AIES '19), January 27-28, 2019, Honolulu, HI, USA 
* 7 pages 

  Access Paper or Ask Questions

Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty


Feb 13, 2019
Anthony Perez, Swetava Ganguli, Stefano Ermon, George Azzari, Marshall Burke, David Lobell

* This project was recognized as the best two-person project during the Spring 2017 offering of CS 231N Convolutional Neural Networks for Visual Recognition. Final report of research project conducted by the authors as part of the Sustainability and Artificial Intelligence Laboratory at Stanford University and as part of the Spring 2017 offering of CS 231N Convolutional Neural Networks for Visual Recognition 

  Access Paper or Ask Questions

Learning to Interpret Satellite Images Using Wikipedia


Sep 19, 2018
Evan Sheehan, Burak Uzkent, Chenlin Meng, Zhongyi Tang, Marshall Burke, David Lobell, Stefano Ermon


  Access Paper or Ask Questions

Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning


Jun 03, 2018
Barak Oshri, Annie Hu, Peter Adelson, Xiao Chen, Pascaline Dupas, Jeremy Weinstein, Marshall Burke, David Lobell, Stefano Ermon

* KDD 2018 Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 

  Access Paper or Ask Questions

Tile2Vec: Unsupervised representation learning for spatially distributed data


May 30, 2018
Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David Lobell, Stefano Ermon

* 8 pages, 4 figures in main text; 9 pages, 11 figures in appendix 

  Access Paper or Ask Questions

Hierarchical Modeling of Seed Variety Yields and Decision Making for Future Planting Plans


Nov 15, 2017
Huaiyang Zhong, Xiaocheng Li, David Lobell, Stefano Ermon, Margaret L. Brandeau


  Access Paper or Ask Questions

Poverty Prediction with Public Landsat 7 Satellite Imagery and Machine Learning


Nov 10, 2017
Anthony Perez, Christopher Yeh, George Azzari, Marshall Burke, David Lobell, Stefano Ermon

* Presented at NIPS 2017 Workshop on Machine Learning for the Developing World 

  Access Paper or Ask Questions

Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping


Feb 27, 2016
Michael Xie, Neal Jean, Marshall Burke, David Lobell, Stefano Ermon

* In Proc. 30th AAAI Conference on Artificial Intelligence 

  Access Paper or Ask Questions