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. 1906.04117
  4. Cited By
Fast Hierarchical Neural Network for Feature Learning on Point Cloud

Fast Hierarchical Neural Network for Feature Learning on Point Cloud

10 June 2019
Can Chen
L. Z. Fragonara
Antonios Tsourdos
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Fast Hierarchical Neural Network for Feature Learning on Point Cloud"

20 / 20 papers shown
Title
Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition
Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition
Chu Wang
Marcello Pelillo
Kaleem Siddiqi
3DV3DPC
66
183
0
04 Jun 2019
A Graph-CNN for 3D Point Cloud Classification
A Graph-CNN for 3D Point Cloud Classification
Yingxue Zhang
Michael G. Rabbat
3DPC
187
158
0
28 Nov 2018
Point2Sequence: Learning the Shape Representation of 3D Point Clouds
  with an Attention-based Sequence to Sequence Network
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network
Xinhai Liu
Mohamed Morchid
Yu-Shen Liu
Matthias Zwicker
3DPC
64
321
0
06 Nov 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN3DPC
260
6,177
0
24 Jan 2018
PointCNN: Convolution On $\mathcal{X}$-Transformed Points
PointCNN: Convolution On X\mathcal{X}X-Transformed Points
Yangyan Li
Rui Bu
Mingchao Sun
Wei Wu
Xinhan Di
Baoquan Chen
3DPC
258
2,451
0
23 Jan 2018
Joint 3D Proposal Generation and Object Detection from View Aggregation
Joint 3D Proposal Generation and Object Detection from View Aggregation
Jason Ku
Melissa Mozifian
Jungwook Lee
Ali Harakeh
Steven Waslander
3DPC
88
1,399
0
06 Dec 2017
Frustum PointNets for 3D Object Detection from RGB-D Data
Frustum PointNets for 3D Object Detection from RGB-D Data
C. Qi
Wen Liu
Chenxia Wu
Hao Su
Leonidas Guibas
3DPC
156
2,271
0
22 Nov 2017
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Yin Zhou
Oncel Tuzel
3DPC
118
3,731
0
17 Nov 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric
  Space
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
C. Qi
L. Yi
Hao Su
Leonidas Guibas
3DPC3DV
366
11,154
0
07 Jun 2017
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point
  Cloud Models
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models
Roman Klokov
Victor Lempitsky
3DV
76
984
0
04 Apr 2017
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 Guibas
3DH3DPC3DVPINN
493
14,371
0
02 Dec 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
813
3,298
0
24 Nov 2016
OctNet: Learning Deep 3D Representations at High Resolutions
OctNet: Learning Deep 3D Representations at High Resolutions
Gernot Riegler
Ali O. Ulusoy
Andreas Geiger
3DV3DPC
230
1,481
0
15 Nov 2016
Target-driven Visual Navigation in Indoor Scenes using Deep
  Reinforcement Learning
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning
Yuke Zhu
Roozbeh Mottaghi
Eric Kolve
Joseph J. Lim
Abhinav Gupta
Li Fei-Fei
Ali Farhadi
VGen
73
1,527
0
16 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
365
7,681
0
30 Jun 2016
Volumetric and Multi-View CNNs for Object Classification on 3D Data
Volumetric and Multi-View CNNs for Object Classification on 3D Data
C. Qi
Hao Su
Matthias Niessner
Angela Dai
Mengyuan Yan
Leonidas Guibas
3DPC3DV
244
1,567
0
12 Apr 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
578
27,338
0
01 Sep 2014
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
230
4,884
0
21 Dec 2013
The Emerging Field of Signal Processing on Graphs: Extending
  High-Dimensional Data Analysis to Networks and Other Irregular Domains
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains
D. Shuman
S. K. Narang
P. Frossard
Antonio Ortega
P. Vandergheynst
138
3,984
0
31 Oct 2012
1