8 citations · 18 across the 5 of their papers we have counts for
6 papers
Short-and-Sparse Deconvolution -- A Geometric Approach
Yenson Lau, Qing Qu, Han-Wen Kuo +3
Short-and-sparse deconvolution (SaSD) is the problem of extracting localized, recurring motifs in signals with spatial or temporal structure. Variants of this problem arise in appl…
Compressed Sensing Microscopy with Scanning Line Probes
Han-Wen Kuo, Anna E. Dorfi, Daniel V. Esposito +1
In applications of scanning probe microscopy, images are acquired by raster scanning a point probe across a sample. Viewed from the perspective of compressed sensing (CS), this poi…
On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution
Yuqian Zhang, Yenson Lau, Han-Wen Kuo +3
Blind deconvolution is the problem of recovering a convolutional kernel and an activation signal from their convolution $\boldsymbol y = \boldsy…
Geometry and Symmetry in Short-and-Sparse Deconvolution
Han-Wen Kuo, Yenson Lau, Yuqian Zhang +1
We study the problem of recovering a short signal and a sparse signal from their convolution. We propose…
Structured Local Optima in Sparse Blind Deconvolution
Yuqian Zhang, Han-Wen Kuo, John Wright
Blind deconvolution is a ubiquitous problem of recovering two unknown signals from their convolution. Unfortunately, this is an ill-posed problem in general. This paper focuses on…
Toward Guaranteed Illumination Models for Non-Convex Objects
Yuqian Zhang, Cun Mu, Han-wen Kuo +1
Illumination variation remains a central challenge in object detection and recognition. Existing analyses of illumination variation typically pertain to convex, Lambertian objects,…