ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1803.04249
  4. Cited By
SO-Net: Self-Organizing Network for Point Cloud Analysis

SO-Net: Self-Organizing Network for Point Cloud Analysis

12 March 2018
Jiaxin Li
Ben M. Chen
Gim Hee Lee
    3DPC
ArXivPDFHTML

Papers citing "SO-Net: Self-Organizing Network for Point Cloud Analysis"

34 / 134 papers shown
Title
Point2SpatialCapsule: Aggregating Features and Spatial Relationships of
  Local Regions on Point Clouds using Spatial-aware Capsules
Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds using Spatial-aware Capsules
Xin Wen
Zhizhong Han
Xinhai Liu
Yu-Shen Liu
3DPC
13
38
0
29 Aug 2019
Directionally Constrained Fully Convolutional Neural Network For
  Airborne Lidar Point Cloud Classification
Directionally Constrained Fully Convolutional Neural Network For Airborne Lidar Point Cloud Classification
Congcong Wen
Lina Yang
Ling Peng
Xiang Li
T. Chi
3DPC
15
99
0
19 Aug 2019
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning
Zhiyuan Zhang
Binh-Son Hua
D. Rosen
Sai-Kit Yeung
3DPC
13
167
0
17 Aug 2019
ShellNet: Efficient Point Cloud Convolutional Neural Networks using
  Concentric Shells Statistics
ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics
Zhiyuan Zhang
Binh-Son Hua
Sai-Kit Yeung
3DPC
8
346
0
17 Aug 2019
Revisiting Point Cloud Classification: A New Benchmark Dataset and
  Classification Model on Real-World Data
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data
Mikaela Angelina Uy
Quang-Cuong Pham
Binh-Son Hua
D. Nguyen
Sai-Kit Yeung
3DV
3DPC
40
762
0
13 Aug 2019
Point Cloud Super Resolution with Adversarial Residual Graph Networks
Point Cloud Super Resolution with Adversarial Residual Graph Networks
Huikai Wu
Junge Zhang
Kaiqi Huang
3DPC
6
47
0
06 Aug 2019
L2G Auto-encoder: Understanding Point Clouds by Local-to-Global
  Reconstruction with Hierarchical Self-Attention
L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention
Xinhai Liu
Zhizhong Han
Xin Wen
Yu-Shen Liu
Matthias Zwicker
3DPC
17
85
0
02 Aug 2019
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point
  Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half
  Prediction
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction
Zhizhong Han
Xiyang Wang
Yu-Shen Liu
Matthias Zwicker
3DPC
18
143
0
30 Jul 2019
STD: Sparse-to-Dense 3D Object Detector for Point Cloud
STD: Sparse-to-Dense 3D Object Detector for Point Cloud
Zetong Yang
Yanan Sun
Shu-Lin Liu
Xiaoyong Shen
Jiaya Jia
3DPC
6
734
0
22 Jul 2019
A review on deep learning techniques for 3D sensed data classification
A review on deep learning techniques for 3D sensed data classification
David J. Griffiths
Jan Boehm
3DPC
3DV
25
164
0
09 Jul 2019
Point-Voxel CNN for Efficient 3D Deep Learning
Point-Voxel CNN for Efficient 3D Deep Learning
Zhijian Liu
Haotian Tang
Yujun Lin
Song Han
3DPC
15
659
0
08 Jul 2019
A Convolutional Decoder for Point Clouds using Adaptive Instance
  Normalization
A Convolutional Decoder for Point Clouds using Adaptive Instance Normalization
I. Lim
Moritz Ibing
Leif Kobbelt
3DPC
3DV
22
15
0
27 Jun 2019
Spatial Transformer for 3D Point Clouds
Spatial Transformer for 3D Point Clouds
Jiayun Wang
Rudrasis Chakraborty
Stella X. Yu
3DPC
17
14
0
26 Jun 2019
Learning Object Bounding Boxes for 3D Instance Segmentation on Point
  Clouds
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
Bo Yang
Jianan Wang
R. Clark
Qingyong Hu
Sen Wang
Andrew Markham
A. Trigoni
3DPC
25
323
0
04 Jun 2019
Point Clouds Learning with Attention-based Graph Convolution Networks
Point Clouds Learning with Attention-based Graph Convolution Networks
Zhuyang Xie
Junzhou Chen
B. Peng
3DPC
11
53
0
31 May 2019
SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud
  Processing
SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud Processing
Chaitanya Kaul
Nick E. Pears
S. Manandhar
3DPC
11
14
0
18 May 2019
LSANet: Feature Learning on Point Sets by Local Spatial Aware Layer
LSANet: Feature Learning on Point Sets by Local Spatial Aware Layer
Lin-Zhuo Chen
Xuan-Yi Li
Deng-Ping Fan
Kai Wang
Shao-Ping Lu
Ming-Ming Cheng
3DPC
6
34
0
14 May 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
29
71
0
11 May 2019
RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for
  Real-Time Point Cloud Shape Completion
RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion
M. Sarmad
H. J. Lee
Y. Kim
3DPC
15
180
0
28 Apr 2019
Adaptive Hierarchical Down-Sampling for Point Cloud Classification
Adaptive Hierarchical Down-Sampling for Point Cloud Classification
E. Nezhadarya
E. Taghavi
Ryan Razani
Bingbing Liu
Jun-Jie Luo
3DPC
17
107
0
11 Apr 2019
ConvPoint: Continuous Convolutions for Point Cloud Processing
ConvPoint: Continuous Convolutions for Point Cloud Processing
Alexandre Boulch
3DPC
14
239
0
04 Apr 2019
Rep the Set: Neural Networks for Learning Set Representations
Rep the Set: Neural Networks for Learning Set Representations
Konstantinos Skianis
Giannis Nikolentzos
Stratis Limnios
Michalis Vazirgiannis
OCL
11
45
0
03 Apr 2019
Discrete Rotation Equivariance for Point Cloud Recognition
Discrete Rotation Equivariance for Point Cloud Recognition
Jiaxin Li
Yingcai Bi
Gim Hee Lee
3DPC
13
24
0
31 Mar 2019
Octree guided CNN with Spherical Kernels for 3D Point Clouds
Octree guided CNN with Spherical Kernels for 3D Point Clouds
Huan Lei
Naveed Akhtar
Ajmal Saeed Mian
3DPC
6
141
0
28 Feb 2019
Adversarial Attack and Defense on Point Sets
Adversarial Attack and Defense on Point Sets
Jiancheng Yang
Qiang Zhang
Rongyao Fang
Bingbing Ni
Jinxian Liu
Qi Tian
3DPC
16
122
0
28 Feb 2019
Zero-shot Learning of 3D Point Cloud Objects
Zero-shot Learning of 3D Point Cloud Objects
A. Cheraghian
Shafin Rahman
L. Petersson
3DPC
8
56
0
27 Feb 2019
IPOD: Intensive Point-based Object Detector for Point Cloud
IPOD: Intensive Point-based Object Detector for Point Cloud
Zetong Yang
Yanan Sun
Shu-Lin Liu
Xiaoyong Shen
Jiaya Jia
3DPC
14
158
0
13 Dec 2018
MeshNet: Mesh Neural Network for 3D Shape Representation
MeshNet: Mesh Neural Network for 3D Shape Representation
Yutong Feng
Yifan Feng
Haoxuan You
Xibin Zhao
Yue Gao
3DV
3DH
13
299
0
28 Nov 2018
3DCapsule: Extending the Capsule Architecture to Classify 3D Point
  Clouds
3DCapsule: Extending the Capsule Architecture to Classify 3D Point Clouds
Fei Yang
C. Zheng
3DPC
25
41
0
06 Nov 2018
PointNetGPD: Detecting Grasp Configurations from Point Sets
PointNetGPD: Detecting Grasp Configurations from Point Sets
Hongzhuo Liang
Xiaojian Ma
Shuang Li
Michael Görner
Song Tang
Bin Fang
F. Sun
Jianwei Zhang
3DPC
18
333
0
17 Sep 2018
PointCNN: Convolution On $\mathcal{X}$-Transformed Points
PointCNN: Convolution On X\mathcal{X}X-Transformed Points
Yangyan Li
Rui Bu
Mingchao Sun
Wei Yu Wu
Xinhan Di
Baoquan Chen
3DPC
34
2,418
0
23 Jan 2018
Learning SO(3) Equivariant Representations with Spherical CNNs
Learning SO(3) Equivariant Representations with Spherical CNNs
Carlos Esteves
Christine Allen-Blanchette
A. Makadia
Kostas Daniilidis
42
508
0
17 Nov 2017
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Iro Armeni
S. Sax
Amir Zamir
Silvio Savarese
3DV
3DPC
113
875
0
03 Feb 2017
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient
  Convolutional Neural Networks
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks
Martin Engelcke
Dushyant Rao
Dominic Zeng Wang
Chi Hay Tong
Ingmar Posner
3DPC
190
520
0
21 Sep 2016
Previous
123