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Piper Wolters


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I am currently a research engineer at the Allen Institute for AI where I am working on applying deep learning models to large amounts of remote sensing imagery, in an effort to make the information in public satellite imagery easily accessible to both researchers and non-ML experts. Prior to this, I received my B.S. and M.S. degrees in Computer Science at Western Washington University, where my research ranged from few-shot learning for audio classification and event detection, to emulating climate data with generative adversarial networks, to detecting archeological features from aerial lidar data.


Zooming Out on Zooming In: Super-Resolution for Remote Sensing. Piper Wolters, Favyen Bastani, Aniruddha Kembhavi. 2023. [arxiv] [code] [website]

Satellite Imagery and AI: A New Era in Ocean Conservation, from Research to Deployment and Impact. Patrick Beukema, Favyen Bastani, Piper Wolters, Henry Herzog, Joseph George Ferdinando. NeurIPS CompSust 2023 Best Paper. [arxiv]

Satlas: Open Geospatial Data Generated by AI. Favyen Bastani, Piper Wolters, Aniruddha Kembhavi. [website]

SatlasPretrain: A Large-Scale, Multi-Task Dataset for Remote Sensing Image Understanding. Favyen Bastani, Piper Wolters, Ritwik Gupta, Joe Ferdinando, Aniruddha Kembhavi. ICCV 2023. [arxiv]

Using a long-term database of bottlenose dolphin signature whistles to develop automated signature whistle classification algorithms. Frants Jensen, Piper Wolters, Louisa van Zeeland, Gracie Ermi, Scott Smith, Sam McKennoch, Vincent Janik, Evan Morrison, Peter Tyack, Randall Wells. International Conference on the Effects of Noise on Aquatic Life 2022. [pdf] [code] [gui]

Vessel Detection in Sentinel-1 Imagery; US First Place in xView3 Competition. Favyen Bastani, Piper Wolters, Rose Hendrix, Joseph Ferdinando, Aniruddha Kembhavi. xView3 Competition 2022. [pdf] [code]

Conditional Emulation of Global Precipitation with Generative Adversarial Networks. Alex Ayala, Chris Drazic, Seth Bassetti, Eric Slyman, Brenna Nieva, Piper Wolters, Kyle Bittner, Claudia Tebaldi, Ben Kravitz, Brian Hutchinson. ICLR AI4EarthScience Workshop 2022. [pdf]

Conditioned Emulation of Global Climate Models With Generative Adversarial Networks. Alex Ayala, Chris Drazic, Eric Slyman, Piper Wolters, Brenna Nieva, Brian Hutchinson, Claudia Tebaldi, Ben Kravitz. 3rd NOAA Workshop on Leveraging AI in Environmental Sciences 2021.

Proposal-based Few-shot Sound Event Detection for Speech and Environmental Sounds with Perceivers. Piper Wolters, Chris Daw, Brian Hutchinson, Lauren Phillips. 2021. [arxiv]

A Study of Few-Shot Audio Classification. Piper Wolters, Chris Careaga, Brian Hutchinson, Lauren Phillips. Grace Hopper Celebration of Women in Computing 2020. [arxiv] [poster]