2 citations · 4 across the 4 of their papers we have counts for
6 papers
Convex Shape Representation with Binary Labels for Image Segmentation: Models and Fast Algorithms
Shousheng Luo, Xue-Cheng Tai, Yang Wang
We present a novel and effective binary representation for convex shapes. We show the equivalence between the shape convexity and some properties of the associated indicator functi…
Data-driven Method for 3D Axis-symmetric Object Reconstruction from Single Cone-beam Projection Data
Shousheng Luo, Ruyue Meng, Suhua Wei +3
In this paper we consider 3D axis-symmetric (AS) object reconstruction from single cone-beam x-ray projection data. Traditional x-ray CT fails to capture fleeting state of material…
Phase retrieval for sub-Gaussian measurements
Bing Gao, Haixia Liu, Yang Wang
Generally, phase retrieval problem can be viewed as the reconstruction of a function/signal from only the magnitude of the linear measurements. These measurements can be, for examp…
Almost Everywhere Generalized Phase Retrieval
Meng Huang, Yi Rong, Yang Wang +1
The aim of generalized phase retrieval is to recover from the quadratic measurements , wher…
Multiscale High-Dimensional Sparse Fourier Algorithms for Noisy Data
Bosu Choi, Andrew Christlieb, Yang Wang
We develop an efficient and robust high-dimensional sparse Fourier algorithm for noisy samples. Earlier in the paper ``Multi-dimensional sublinear sparse Fourier algorithm" (2016),…
Generalized phase retrieval : measurement number, matrix recovery and beyond
Yang Wang, Zhiqiang Xu
In this paper, we develop a framework of generalized phase retrieval in which one aims to reconstruct a vector in or through quadratic…