25 citations · 28 across the 6 of their papers we have counts for
6 papers
Comparison of One- Two- and Three- Dimensional CNN models for Drawing-Test-Based Diagnostics of the Parkinson's Disease
Xuechao Wang, Junqing Huang, Marianna Chatzakou +6
Subject: In this article, convolutional networks of one, two, and three dimensions are compared with respect to their ability to distinguish between the drawing tests produced by P…
Semi-sparsity Priors for Image Structure Analysis and Extraction
Junqing Huang, Haihui Wang, Michael Ruzhansky
Image structure-texture decomposition is a long-standing and fundamental problem in both image processing and computer vision fields. In this paper, we propose a generalized semi-s…
Semi-sparsity on Piecewise Constant Function Spaces for Triangular Mesh Denoising
Junqing Huang, Haihui Wang, Michael Ruzhansky
We present a semi-sparsity model for 3D triangular mesh denoising, which is motivated by the success of semi-sparsity regularization in image processing applications. We demonstrat…
A Light-weight CNN Model for Efficient Parkinson's Disease Diagnostics
Xuechao Wang, Junqing Huang, Marianna Chatzakou +5
In recent years, deep learning methods have achieved great success in various fields due to their strong performance in practical applications. In this paper, we present a light-we…
Intrinsic Image Transfer for Illumination Manipulation
Junqing Huang, Michael Ruzhansky, Qianying Zhang +1
This paper presents a novel intrinsic image transfer (IIT) algorithm for illumination manipulation, which creates a local image translation between two illumination surfaces. This…
Semi-Sparsity for Smoothing Filters
Junqing Huang, Haihui Wang, Xuechao Wang +1
In this paper, we propose an interesting semi-sparsity smoothing algorithm based on a novel sparsity-inducing optimization framework. This method is derived from the multiple obser…