Erik Rozi — accepted AI-conference papers

2022

SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery

Yezhen Cong, Samar Khanna, Chenlin Meng, Patrick Liu, Erik Rozi, Yutong He +3

NeurIPS 2022accept

Unsupervised pre-training methods for large vision models have shown to enhance performance on downstream supervised tasks. Developing similar techniques for satellite imagery presents significant opportunities as unlabelled data is plentiful and the inherent temporal and multi-spectral structure pr…

Cited by 306 Source ↗PDF ↗code ↗Scholar ↗

2021

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

Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu +4

NeurIPS 2021poster

Progress toward the United Nations Sustainable Development Goals (SDGs) has been hindered by a lack of data on key environmental and socioeconomic indicators, which historically have come from ground surveys with sparse temporal and spatial coverage. Recent advances in machine learning have made it…

Cited by 74 Source ↗code ↗Scholar ↗