Lobell, David B.

19 publications

ICML 2025 ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers Under Domain Shifts Samar Khanna, Medhanie Irgau, David B. Lobell, Stefano Ermon

ICLR 2024 DiffusionSat: A Generative Foundation Model for Satellite Imagery Samar Khanna, Patrick Liu, Linqi Zhou, Chenlin Meng, Robin Rombach, Marshall Burke, David B. Lobell, Stefano Ermon

ICMLW 2024 ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers Under Domain Shifts Samar Khanna, Medhanie Irgau, David B. Lobell, Stefano Ermon

ICLR 2024 GeoLLM: Extracting Geospatial Knowledge from Large Language Models Rohin Manvi, Samar Khanna, Gengchen Mai, Marshall Burke, David B. Lobell, Stefano Ermon

AAAI 2024 HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing Jonathan Xu, Amna Elmustafa, Liya Weldegebriel, Emnet Negash, Richard Lee, Chenlin Meng, Stefano Ermon, David B. Lobell

CVPRW 2024 HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing Jonathan Xu, Amna Elmustafa, Liya Weldegebriel, Emnet Negash, Richard Lee, Chenlin Meng, Stefano Ermon, David B. Lobell

ICML 2024 Large Language Models Are Geographically Biased Rohin Manvi, Samar Khanna, Marshall Burke, David B. Lobell, Stefano Ermon

AAAI 2022 IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling Chenlin Meng, Enci Liu, Willie Neiswanger, Jiaming Song, Marshall Burke, David B. Lobell, Stefano Ermon

AAAI 2021 Efficient Poverty Mapping from High Resolution Remote Sensing Images Kumar Ayush, Burak Uzkent, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon

AAAI 2021 Predicting Livelihood Indicators from Community-Generated Street-Level Imagery Jihyeon Janel Lee, Dylan Grosz, Burak Uzkent, Sicheng Zeng, Marshall Burke, David B. Lobell, Stefano Ermon

CVPRW 2020 Farm Parcel Delineation Using Spatio-Temporal Convolutional Networks Han Lin Aung, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon

IJCAI 2020 Generating Interpretable Poverty Maps Using Object Detection in Satellite Images Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon

CVPRW 2020 Meta-Learning for Few-Shot Land Cover Classification Marc Rußwurm, Sherrie Wang, Marco Körner, David B. Lobell

IJCAI 2019 Learning to Interpret Satellite Images Using Wikipedia Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon

CVPRW 2019 Semantic Segmentation of Crop Type in Africa: A Novel Dataset and Analysis of Deep Learning Methods Rose M. Rustowicz, Robin Cheong, Lijing Wang, Stefano Ermon, Marshall Burke, David B. Lobell

AAAI 2019 Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David B. Lobell, Stefano Ermon

AAAI 2017 Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data Jiaxuan You, Xiaocheng Li, Melvin Low, David B. Lobell, Stefano Ermon

CVPRW 2017 Monitoring Ethiopian Wheat Fungus with Satellite Imagery and Deep Feature Learning Reid Pryzant, Stefano Ermon, David B. Lobell

AAAI 2016 Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping Sang Michael Xie, Neal Jean, Marshall Burke, David B. Lobell, Stefano Ermon