Paul Hand

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20152026

most citedA Provably Convergent Scheme for Compressive Sensing under Random Generative Priors

17 citations · 30 across the 9 of their papers we have counts for

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3 papers · 1 filter

cs.CV2021★ 1 cited

Generator Surgery for Compressed Sensing

Niklas Smedemark-Margulies, Jung Yeon Park, Max Daniels +3

Image recovery from compressive measurements requires a signal prior for the images being reconstructed. Recent work has explored the use of deep generative models with low latent…

cs.CV2018

Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks

Reinhard Heckel, Paul Hand

Deep neural networks, in particular convolutional neural networks, have become highly effective tools for compressing images and solving inverse problems including denoising, inpai…

cs.CV2015

ShapeFit: Exact location recovery from corrupted pairwise directions

Paul Hand, Choongbum Lee, Vladislav Voroninski

Let $t_{1}, \dots, t_{n} \in R^{d}$ and consider the location recovery problem: given a subset of pairwise direction observations $\{(t_i - t_j) / \|t_i - t_j\|_2\}_{i<j \in [n]…