activity
20182020
most citedDeep Convolutional Neural Networks with Spatial Regularization, Volume and Star-shape Priori for Image Segmentation

7 citations · 23 across the 11 of their papers we have counts for

collaborators

17 papers

math.OC2020

Variational Image Motion Estimation by Accelerated Dual Optimization

Hongpeng Sun, Xue-Cheng Tai, Jing Yuan

Estimating optical flows is one of the most interesting problems in computer vision, which estimates the essential information about pixel-wise displacements between two consecutiv…

math.NA2020

Overlapping Domain Decomposition Methods for Ptychographic Imaging

Huibin Chang, Roland Glowinski, Stefano Marchesini +3

In ptychography experiments, redundant scanning is usually required to guarantee the stable recovery, such that a huge amount of frames are generated, and thus it poses a great dem…

math.NA2020

Alternating minimization for a single step TV-Stokes model for image denoising

Bin Wu, Xue-Cheng Tai, Talal Rahman

The paper presents a fully coupled TV-Stokes model, and propose an algorithm based on alternating minimization of the objective functional whose first iteration is exactly the modi…

math.NA2020

Sparse-data based 3D surface reconstruction with vector matching

Bin Wu, Xue-Cheng Tai, Talal Rahman

Three dimensional surface reconstruction based on two dimensional sparse information in the form of only a small number of level lines of the surface with moderately complex struct…

math.NA2020

Multidimensional TV-Stokes for image processing

Bin Wu, Xue-Cheng Tai, Talal Rahman

A complete multidimential TV-Stokes model is proposed based on smoothing a gradient field in the first step and reconstruction of the multidimensional image from the gradient field…

math.NA2020

Iterative regularization algorithms for image denoising with the TV-Stokes model

Bin Wu, Leszek Marcinkowski, Xue-Cheng Tai +1

We propose a set of iterative regularization algorithms for the TV-Stokes model to restore images from noisy images with Gaussian noise. These are some extensions of the iterative…