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Linked Dynamic Graph CNN: Learning on Point Cloud via Linking
  Hierarchical Features

Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features

22 April 2019
Kuangen Zhang
M. Hao
Jing Wang
Clarence W. de Silva
Chenglong Fu
    3DPC
ArXivPDFHTML

Papers citing "Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features"

14 / 14 papers shown
Title
Efficient Point Clouds Upsampling via Flow Matching
Z. Liu
Chenhang He
Lei Li
44
1
0
28 Jan 2025
Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance
Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance
Yiming Cui
Lecheng Ruan
Hang Dong
Qiang Li
Zhongming Wu
T. Zeng
Fengyu Fan
3DPC
35
0
0
13 May 2023
MLGCN: An Ultra Efficient Graph Convolution Neural Model For 3D Point
  Cloud Analysis
MLGCN: An Ultra Efficient Graph Convolution Neural Model For 3D Point Cloud Analysis
Mohammad Khodadad
Morteza Rezanejad
Ali Shiraee Kasmaee
K. Siddiqi
Dirk Bernhardt-Walther
H. Mahyar
3DPC
19
1
0
31 Mar 2023
Depth Completion using Geometry-Aware Embedding
Depth Completion using Geometry-Aware Embedding
Wenchao Du
Hu Chen
Hong-ling Yang
Yan Zhang
3DV
3DPC
MDE
35
30
0
21 Mar 2022
Structure-Aware Multi-Hop Graph Convolution for Graph Neural Networks
Structure-Aware Multi-Hop Graph Convolution for Graph Neural Networks
Yang Li
Yuichi Tanaka
21
3
0
03 Dec 2021
PatchFormer: An Efficient Point Transformer with Patch Attention
PatchFormer: An Efficient Point Transformer with Patch Attention
Zhang Cheng
Haocheng Wan
Xinyi Shen
Zizhao Wu
3DPC
16
65
0
30 Oct 2021
Robust Pooling through the Data Mode
Robust Pooling through the Data Mode
Ayman Mukhaimar
Ruwan Tennakoon
Chow Yin Lai
R. Hoseinnezhad
A. Bab-Hadiashar
3DPC
3DV
OOD
24
3
0
21 Jun 2021
Revisiting Point Cloud Shape Classification with a Simple and Effective
  Baseline
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline
Ankit Goyal
Hei Law
Bowei Liu
Alejandro Newell
Jia Deng
3DPC
35
229
0
09 Jun 2021
Exploiting Local Geometry for Feature and Graph Construction for Better
  3D Point Cloud Processing with Graph Neural Networks
Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks
Siddharth Srivastava
Gaurav Sharma
3DPC
27
15
0
28 Mar 2021
Learning to Orient Surfaces by Self-supervised Spherical CNNs
Learning to Orient Surfaces by Self-supervised Spherical CNNs
Riccardo Spezialetti
Federico Stella
M. Marcon
Luciano Silva
Samuele Salti
Luigi Di Stefano
11
40
0
06 Nov 2020
Triangle-Net: Towards Robustness in Point Cloud Learning
Triangle-Net: Towards Robustness in Point Cloud Learning
Chenxi Xiao
J. Wachs
3DH
3DPC
31
34
0
27 Feb 2020
Residual Attention Net for Superior Cross-Domain Time Sequence Modeling
Residual Attention Net for Superior Cross-Domain Time Sequence Modeling
Seth H. Huang
Lingjie Xu
Congwei Jiang
AI4TS
29
10
0
13 Jan 2020
Grid-GCN for Fast and Scalable Point Cloud Learning
Grid-GCN for Fast and Scalable Point Cloud Learning
Qiangeng Xu
Xudong Sun
Cho-Ying Wu
Panqu Wang
Ulrich Neumann
3DPC
GNN
31
244
0
06 Dec 2019
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional
  Filters
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
3DV
3DPC
152
769
0
30 Mar 2018
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