Graph Signal Processing for Geometric Data and Beyond: Theory and
Applications

Graph Signal Processing for Geometric Data and Beyond: Theory and Applications

5 August 2020

Papers citing "Graph Signal Processing for Geometric Data and Beyond: Theory and Applications"

12 / 12 papers shown

Title
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 37 2 0 28 Oct 2024
StarNet: Style-Aware 3D Point Cloud Generation Yunfan Zhang Hao Wang Guosheng Lin Vun Chan Hua Nicholas Zhiqi Shen C. Miao 3DPC 3DV 20 1 0 28 Mar 2023
A Survey on Spectral Graph Neural Networks Deyu Bo Xiao Wang Yang Liu Yuan Fang Yawen Li Chuan Shi 31 24 0 11 Feb 2023
Dynamic Point Cloud Denoising via Gradient Fields Q. Hu Wei Hu 3DPC DiffM 8 2 0 19 Apr 2022
Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency E. Pavez 13 4 0 31 Oct 2021
Score-Based Point Cloud Denoising Shitong Luo Wei Hu DiffM 11 155 0 23 Jul 2021
Differentiable Manifold Reconstruction for Point Cloud Denoising Shitong Luo Wei Hu 3DPC 11 130 0 27 Jul 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud Weijing Shi Ragunathan R. Rajkumar 3DPC 139 736 0 02 Mar 2020
Unsupervised Multi-Task Feature Learning on Point Clouds Kaveh Hassani Mike Haley SSL 3DPC 109 193 0 18 Oct 2019
A Graph-CNN for 3D Point Cloud Classification Yingxue Zhang Michael G. Rabbat 3DPC 107 158 0 28 Nov 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 236 3,234 0 24 Nov 2016