3 citations · 5 across the 8 of their papers we have counts for
8 papers
Semi-sparsity Generalization for Variational Mesh Denoising
Junqing Huang, Haihui Wang, Michael Ruzhansky
In this paper, we propose a new variational framework for 3D surface denoising over triangulated meshes, which is inspired by the success of semi-sparse regularization in image pro…
PointExplainer: Towards Transparent Parkinson's Disease Diagnosis
Xuechao Wang, Sven Nomm, Junqing Huang +3
Deep neural networks have shown potential in analyzing digitized hand-drawn signals for early diagnosis of Parkinson's disease. However, the lack of clear interpretability in exist…
LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis
Xuechao Wang, Junqing Huang, Sven Nomm +4
Background and objectives: Dynamic handwriting analysis, due to its non-invasive and readily accessible nature, has recently emerged as a vital adjunctive method for the early diag…
Optimal Image Transport on Sparse Dictionaries
Junqing Huang, Haihui Wang, Andreas Weiermann +1
In this paper, we derive a novel optimal image transport algorithm over sparse dictionaries by taking advantage of Sparse Representation (SR) and Optimal Transport (OT). Concisely,…
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…
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…
Hardy and Rellich inequalities with Bessel pairs
Michael Ruzhansky, Bolys Sabitbek
In this paper, we establish suitable characterisations for a pair of functions on a bounded, connected domain in order to have the following H…
Fourier multipliers for Hardy spaces on graded Lie groups
Qing Hong, Guorong Hu, Michael Ruzhansky
In this paper, we investigate the , , boundedness of multiplier operators defined via group Fourier transform on a graded Lie group , whe…