Feature Graph Learning for 3D Point Cloud Denoising

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Feature Graph Learning for 3D Point Cloud Denoising

22 July 2019

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Papers citing "Feature Graph Learning for 3D Point Cloud Denoising"

11 / 11 papers shown

Title
Learning graphs from data: A signal representation perspective Xiaowen Dong D. Thanou Michael G. Rabbat P. Frossard 120 382 0 03 Jun 2018
3D Point Cloud Denoising using Graph Laplacian Regularization of a Low Dimensional Manifold Model Jin Zeng Gene Cheung Michael Kwok-Po Ng Jiahao Pang Cheng Yang 3DV 74 155 0 20 Mar 2018
Graph-Based Blind Image Deblurring From a Single Photograph Yuanchao Bai Gene Cheung Xianming Liu Wen Gao 51 154 0 22 Feb 2018
Graph Learning from Data under Structural and Laplacian Constraints Hilmi E. Egilmez Eduardo Pavez Antonio Ortega 64 42 0 16 Nov 2016
Random Walk Graph Laplacian based Smoothness Prior for Soft Decoding of JPEG Images Xianming Liu Gene Cheung Xiaolin Wu Debin Zhao 57 127 0 07 Jul 2016
How to learn a graph from smooth signals Vassilis Kalofolias 84 516 0 11 Jan 2016
Graph-based denoising for time-varying point clouds Y. Schoenenberger Johan Paratte P. Vandergheynst 3DPC 48 59 0 16 Nov 2015
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains D. Shuman S. K. Narang P. Frossard Antonio Ortega P. Vandergheynst 138 3,984 0 31 Oct 2012
The Graphical Lasso: New Insights and Alternatives Rahul Mazumder Trevor Hastie 103 289 0 23 Nov 2011
Exact covariance thresholding into connected components for large-scale Graphical Lasso Rahul Mazumder Trevor Hastie 104 232 0 18 Aug 2011
$High-dimensional covariance estimation by minimizing $\ell_1$-penalized log-determinant divergence$ High-dimensional covariance estimation by minimizing $\ell_1$ -penalized log-determinant divergence Pradeep Ravikumar Martin J. Wainwright Garvesh Raskutti Bin Yu 253 873 0 21 Nov 2008

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