activity
20202022
most citedLearning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery

298 citations · 321 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 1 cited

Nondestructive Quality Control in Powder Metallurgy using Hyperspectral Imaging

Yijun Yan, Jinchang Ren, He Sun

Measuring the purity in the metal powder is critical for preserving the quality of additive manufacturing products. Contamination is one of the most headache problems which can be…

eess.IV2021★ 5 cited

End-to-End Sequential Sampling and Reconstruction for MRI

Tianwei Yin, Zihui Wu, He Sun +3

Accelerated MRI shortens acquisition time by subsampling in the measurement -space. Recovering a high-fidelity anatomical image from subsampled measurements requires close coope…

cs.LG2020★ 16 cited

Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging

He Sun, Katherine L. Bouman

Computational image reconstruction algorithms generally produce a single image without any measure of uncertainty or confidence. Regularized Maximum Likelihood (RML) and feed-forwa…

eess.IV2020★ 298 cited

Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery

Junjun Jiang, He Sun, Xianming Liu +1

Recently, single gray/RGB image super-resolution reconstruction task has been extensively studied and made significant progress by leveraging the advanced machine learning techniqu…

eess.IV2020★ 1 cited

NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image

Boaz Arad, Radu Timofte, Ohad Ben-Shahar +4

This paper reviews the second challenge on spectral reconstruction from RGB images, i.e., the recovery of whole-scene hyperspectral (HS) information from a 3-channel RGB image. As…