Han-wen Kuo | DeepAI

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∙ 09/26/2019

Compressed Sensing Microscopy with Scanning Line Probes

In applications of scanning probe microscopy, images are acquired by ras...

10 Han-wen Kuo, et al. ∙

∙ 08/28/2019

Short-and-Sparse Deconvolution -- A Geometric Approach

Short-and-sparse deconvolution (SaSD) is the problem of extracting local...

7 Yenson Lau, et al. ∙

∙ 01/07/2019

On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution

Blind deconvolution is the problem of recovering a convolutional kernel ...

0 Yuqian Zhang, et al. ∙

∙ 01/02/2019

Geometry and Symmetry in Short-and-Sparse Deconvolution

We study the Short-and-Sparse (SaS) deconvolution problem of recovering ...

0 Han-wen Kuo, et al. ∙

∙ 06/01/2018

Structured Local Optima in Sparse Blind Deconvolution

Blind deconvolution is a ubiquitous problem of recovering two unknown si...

0 Yuqian Zhang, et al. ∙

∙ 07/04/2013

Toward Guaranteed Illumination Models for Non-Convex Objects

Illumination variation remains a central challenge in object detection a...

0 Yuqian Zhang, et al. ∙

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