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Large-scale 3D point cloud representations via graph inception networks
  with applications to autonomous driving

Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving

26 June 2019
Siheng Chen
Sufeng Niu
Tian Lan
Baoan Liu
    GNN3DPC
ArXiv (abs)PDFHTML

Papers citing "Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving"

9 / 9 papers shown
Title
3D Point Cloud Compression with Recurrent Neural Network and Image
  Compression Methods
3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods
Till Beemelmanns
Yucheng Tao
Bastian Lampe
Lennart Reiher
Raphael van Kempen
Timo Woopen
L. Eckstein
28
8
0
18 Feb 2024
CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point
  Clouds
CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds
Eric-Tuan Lê
Minhyuk Sung
Duygu Ceylan
R. Měch
T. Boubekeur
Niloy J. Mitra
3DPC
85
33
0
31 Aug 2021
DRINet: A Dual-Representation Iterative Learning Network for Point Cloud
  Segmentation
DRINet: A Dual-Representation Iterative Learning Network for Point Cloud Segmentation
Maosheng Ye
Shuangjie Xu
Tongyi Cao
Qifeng Chen
3DPC
126
38
0
09 Aug 2021
Learning Semantic Segmentation of Large-Scale Point Clouds with Random
  Sampling
Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling
Qingyong Hu
Bo Yang
Linhai Xie
Stefano Rosa
Yulan Guo
Zhihua Wang
Niki Trigoni
Andrew Markham
3DPC
88
184
0
06 Jul 2021
Learning to Reconstruct and Segment 3D Objects
Learning to Reconstruct and Segment 3D Objects
Bo Yang
3DPC
58
1
0
19 Oct 2020
Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks
Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks
T. Fujihashi
T. Koike-Akino
Siheng Chen
Takashi Watanabe
3DPC
39
14
0
17 Jun 2020
3D Point Cloud Processing and Learning for Autonomous Driving
3D Point Cloud Processing and Learning for Autonomous Driving
Siheng Chen
Baoan Liu
Chen Feng
Carlos Vallespi-Gonzalez
Carl K. Wellington
3DPC
100
169
0
01 Mar 2020
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
Qingyong Hu
Bo Yang
Linhai Xie
Stefano Rosa
Yulan Guo
Zhihua Wang
A. Trigoni
Andrew Markham
3DPC
112
1,519
0
25 Nov 2019
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
Siheng Chen
Chaojing Duan
Yaoqing Yang
Duanshun Li
Chen Feng
Dong Tian
3DPC
101
73
0
11 May 2019
1