Sara M Beery — accepted AI-conference papers

2024

Tree-D Fusion: Simulation-Ready Tree Dataset from Single Images with Diffusion Priors

Jae Joong Lee, Bosheng Li, Sara M Beery, Jonathan Huang, Songlin Fei, Raymond A. Yeh +1

ECCV 2024poster

"We introduce , featuring the first collection of 600,000 environmentally aware, 3D simulation-ready tree models generated through Diffusion priors. Each reconstructed 3D tree model corresponds to an image from Google’s Auto Arborist Dataset, comprising street view images and associated genus labels…

Cited by 4 Source ↗PDF ↗Scholar ↗

2021

WILDS: A Benchmark of in-the-Wild Distribution Shifts

Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani +17

ICML 2021oral

Distribution shifts—where the training distribution differs from the test distribution—can substantially degrade the accuracy of machine learning (ML) systems deployed in the wild. Despite their ubiquity in the real-world deployments, these distribution shifts are under-represented in the datasets w…

Cited by 1715 Source ↗PDF ↗code ↗Scholar ↗