activity
20192026
most citedA Machine Learning Dataset Prepared From the NASA Solar Dynamics Observatory Mission

87 citations · 152 across the 9 of their papers we have counts for

collaborators

11 papers

astro-ph.SR2026

MAGiDiff: Sampling the Photospheric Vector Field from UV/EUV Filtergrams

Ruoyu Wang, David Fouhey

Photospheric vector magnetic fields are foundational to modeling, understanding, and forecasting solar activity. These data are usually produced by inverting and disambiguating the…

cs.LG2025

Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme

Rudy Morel, Francesco Pio Ramunno, Jeff Shen +18

Conditional diffusion models provide a natural framework for probabilistic prediction of dynamical systems and have been successfully applied to fluid dynamics and weather predicti…

astro-ph.SR2025

Learning to Estimate Photospheric Vector Fields from Line-of-Sight Magnetograms

David Fouhey, KD Leka

Solar photospheric line-of-sight magnetograms are easier to estimate than full vector magnetograms since the line-of-sight component (Blos) can be obtained from total intensity and…

cs.CV2024

LookUp3D: Data-Driven 3D Scanning

Giancarlo Pereira, Yidan Gao, Yurii Piadyk +3

High speed, high-resolution, and accurate 3D scanning would open doors to many new applications in graphics, robotics, science, and medicine by enabling the accurate scanning of de…

cs.CV2023★ 6 cited

EPIC Fields: Marrying 3D Geometry and Video Understanding

Vadim Tschernezki, Ahmad Darkhalil, Zhifan Zhu +5

Neural rendering is fuelling a unification of learning, 3D geometry and video understanding that has been waiting for more than two decades. Progress, however, is still hampered by…

astro-ph.SR2022★ 9 cited

Large-Scale Spatial Cross-Calibration of Hinode/SOT-SP and SDO/HMI

David F. Fouhey, Richard E. L. Higgins, Spiro K. Antiochos +7

We investigate the cross-calibration of the Hinode/SOT-SP and SDO/HMI instrument meta-data, specifically the correspondence of the scaling and pointing information. Accurate calibr…

cs.CV2022★ 24 cited

EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations

Ahmad Darkhalil, Dandan Shan, Bin Zhu +6

We introduce VISOR, a new dataset of pixel annotations and a benchmark suite for segmenting hands and active objects in egocentric video. VISOR annotates videos from EPIC-KITCHENS,…

astro-ph.IM2021★ 18 cited

SynthIA: A Synthetic Inversion Approximation for the Stokes Vector Fusing SDO and Hinode into a Virtual Observatory

Richard E. L. Higgins, David F. Fouhey, Spiro K. Antiochos +7

Both NASA's Solar Dynamics Observatory (SDO) and the JAXA/NASA Hinode mission include spectropolarimetric instruments designed to measure the photospheric magnetic field. SDO's Hel…

astro-ph.SR2021★ 1 cited

Fast and Accurate Emulation of the SDO/HMI Stokes Inversion with Uncertainty Quantification

Richard E. L. Higgins, David F. Fouhey, Dichang Zhang +7

The Helioseismic and Magnetic Imager (HMI) onboard NASA's Solar Dynamics Observatory (SDO) produces estimates of the photospheric magnetic field which are a critical input to many…

cs.CV2020★ 7 cited

Understanding Human Hands in Contact at Internet Scale

Dandan Shan, Jiaqi Geng, Michelle Shu +1

Hands are the central means by which humans manipulate their world and being able to reliably extract hand state information from Internet videos of humans engaged in their hands h…

astro-ph.SR2019★ 87 cited

A Machine Learning Dataset Prepared From the NASA Solar Dynamics Observatory Mission

Richard Galvez, David F. Fouhey, Meng Jin +8

In this paper we present a curated dataset from the NASA Solar Dynamics Observatory (SDO) mission in a format suitable for machine learning research. Beginning from level 1 scienti…