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HPGNN: Using Hierarchical Graph Neural Networks for Outdoor Point Cloud
  Processing

HPGNN: Using Hierarchical Graph Neural Networks for Outdoor Point Cloud Processing

5 June 2022
A. Thieshanthan
Amashi Niwarthana
Pamuditha Somarathne
Tharindu Wickremasinghe
Ranga Rodrigo
    3DPC
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Papers citing "HPGNN: Using Hierarchical Graph Neural Networks for Outdoor Point Cloud Processing"

5 / 5 papers shown
Title
PointMT: Efficient Point Cloud Analysis with Hybrid MLP-Transformer
  Architecture
PointMT: Efficient Point Cloud Analysis with Hybrid MLP-Transformer Architecture
Qiang Zheng
Chao Zhang
Jian Sun
30
1
0
10 Aug 2024
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection
  for Sparse Semantic Segmentation Network
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network
Ran Cheng
Ryan Razani
E. Taghavi
Enxu Li
Bingbing Liu
3DPC
153
240
0
08 Feb 2021
AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic
  Segmentation
AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation
Venice Erin Liong
Thi Ngoc Tho Nguyen
S. Widjaja
Dhananjai Sharma
Z. J. Chong
3DPC
132
109
0
09 Dec 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Weijing Shi
Ragunathan
R. Rajkumar
3DPC
139
731
0
02 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,047
0
02 Dec 2016
1