Deep Unsupervised Learning of 3D Point Clouds via Graph Topology
Inference and Filtering

Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering

11 May 2019

Papers citing "Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering"

10 / 10 papers shown

Title
FlexPara: Flexible Neural Surface Parameterization Yuming Zhao Qijian Zhang Junhui Hou Jiazhi Xia Wenping Wang Ying He AI4CE 26 0 0 27 Apr 2025
GQE-Net: A Graph-based Quality Enhancement Network for Point Cloud Color Attribute Jinrui Xing Hui Yuan R. Hamzaoui Hao Liu Junhui Hou 3DPC 14 35 0 24 Mar 2023
Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding Guofeng Mei Cristiano Saltori Fabio Poiesi Jian Andrew Zhang Elisa Ricci N. Sebe Qiang Wu 3DPC 34 5 0 06 Oct 2022
Graph signal processing for machine learning: A review and new perspectives Xiaowen Dong D. Thanou Laura Toni M. Bronstein P. Frossard 11 151 0 31 Jul 2020
Self-Supervised Learning for Domain Adaptation on Point-Clouds Idan Achituve Haggai Maron Gal Chechik 3DPC 6 160 0 29 Mar 2020
A Graph-CNN for 3D Point Cloud Classification Yingxue Zhang Michael G. Rabbat 3DPC 100 144 0 28 Nov 2018
Convolutional Neural Network Architectures for Signals Supported on Graphs Fernando Gama A. Marques G. Leus Alejandro Ribeiro 114 284 0 01 May 2018
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 142 760 0 30 Mar 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 228 3,202 0 24 Nov 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 161 1,926 0 24 Oct 2016