Burke, Marshall

15 publications

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

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

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

NeurIPSW 2023 A Table Is Worth a Thousand Pictures: Multi-Modal Contrastive Learning in House Burning Classification in Wildfire Events Iván Higuera-Mendieta, Jeff Wen, Marshall Burke

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

NeurIPS 2022 SatMAE: Pre-Training Transformers for Temporal and Multi-Spectral Satellite Imagery Yezhen Cong, Samar Khanna, Chenlin Meng, Patrick Liu, Erik Rozi, Yutong He, Marshall Burke, David 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

ICCV 2021 Geography-Aware Self-Supervised Learning Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David 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

NeurIPS 2021 Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis Yutong He, Dingjie Wang, Nicholas Lai, William Zhang, Chenlin Meng, Marshall Burke, David 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

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