Piper Wolters

piperw@allenai.org

I am a Research Engineer at PRIOR, the Computer Vision team at the Allen Institute for Artificial Intelligence, where I have had the pleasure of collaborating with Tanmay Gupta, Ani Kembhavi, and Favyen Bastani. I received my B.S. and M.S. degrees in Computer Science at Western Washington University, where I was advised by Brian Hutchinson.

Research

I enjoy employing AI to tackle important problems and ensuring that all of my work is openly available.

OlmoEarth v1.1 & v1.2: A more efficient family of OlmoEarth models
Team OlmoEarth
2026.
[v1.1] [v1.2]

MolmoWeb: Open Visual Web Agent and Open Data for the Open Web
Tanmay Gupta*, Piper Wolters*, Zixian Ma*, Peter Sushko*, et. al.
*Equal contribution.
ECCV 2026.
[blog] [tech report]

MolmoBot: Large-Scale Simulation Enables Zero-Shot Manipulation
Abhay Deshpande, Maya Guru, Rose Hendrix, Snehal Jauhri, ..., Piper Wolters, et. al.
In submission, 2026.
Best Paper Award at the Synthetic Data for Robot Learning (SDRL), VLA Pipeline, and Beyond Teleoperation workshops at ICRA 2026.
[blog] [arxiv]

MolmoSpaces: A Large-Scale Open Ecosystem for Robot Navigation and Manipulation
Yejin Kim, Wilbert Pumacay, Omar Rayyan, Max Argus, ..., Piper Wolters, et. al.
RSS 2026.
[blog] [arxiv]

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data
Paul Seulchan Han, Raymond Yu, Josh Myers-Dean, Piper Wolters, Favyen Bastani.
WACV 2025.
[paper]

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models
Matt Deitke, Christopher Clark, ..., Piper Wolters, et. al.
CVPR, Best Paper Honorable Mention, 2025.
[blog] [demo] [paper]

On the Generalizability of Foundation Models for Crop Type Mapping
Yi-Chia Chang, Adam J Stewart, Favyen Bastani, Piper Wolters, et. al.
IGARSS 2025.
[arxiv]

Zooming Out on Zooming In: Advancing 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 Award.
[arxiv]

Satlas: Creating Accurate, Global Geospatial Data Products with Large-scale Pre-training.
Favyen Bastani, Piper Wolters, Aniruddha Kembhavi.
AGU Fall Meeting Abstracts 2023.
[abstract] [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]

Automatic Deep-Learning-Based Classification of Bottlenose Dolphin Signature Whistles.
Frants Jensen, Piper Wolters, et. al.
International Conference on the Effects of Noise on Aquatic Life 2022.
[code] [gui] [pdf]

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

Conditional Emulation of Global Precipitation with Generative Adversarial Networks.
Alex Ayala, Chris Drazic, Seth Bassetti, Eric Slyman, Brenna Nieva, Piper Wolters, et. al.
ICLR AI4EarthScience Workshop 2022.
[pdf]

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]