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SK-Net: Deep Learning on Point Cloud via End-to-end Discovery of Spatial
  Keypoints

SK-Net: Deep Learning on Point Cloud via End-to-end Discovery of Spatial Keypoints

31 March 2020
Weikun Wu
Yan Zhang
David Wang
Yunqi Lei
    3DPC
ArXivPDFHTML

Papers citing "SK-Net: Deep Learning on Point Cloud via End-to-end Discovery of Spatial Keypoints"

22 / 22 papers shown
Title
DeepICP: An End-to-End Deep Neural Network for 3D Point Cloud
  Registration
DeepICP: An End-to-End Deep Neural Network for 3D Point Cloud Registration
Weixin Lu
Guowei Wan
Yao Zhou
Xiangyu Fu
P. Yuan
Shiyu Song
3DPC
3DV
34
270
0
10 May 2019
2D3D-MatchNet: Learning to Match Keypoints Across 2D Image and 3D Point
  Cloud
2D3D-MatchNet: Learning to Match Keypoints Across 2D Image and 3D Point Cloud
Mengdan Feng
Sixing Hu
M. Ang
Gim Hee Lee
3DPC
3DV
58
119
0
22 Apr 2019
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
Yongcheng Liu
Bin Fan
Shiming Xiang
Chunhong Pan
3DPC
82
888
0
16 Apr 2019
Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN
Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN
Shiyi Lan
Ruichi Yu
Gang Yu
L. Davis
3DPC
36
140
0
19 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
30
319
0
06 Nov 2018
Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning
Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning
Supasorn Suwajanakorn
Noah Snavely
Jonathan Tompson
Mohammad Norouzi
3DPC
3DV
46
246
0
05 Jul 2018
PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic
  Segmentation
PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation
Mingyang Jiang
Yiran Wu
Tianqi Zhao
Zelin Zhao
Cewu Lu
3DPC
34
399
0
02 Jul 2018
Point Convolutional Neural Networks by Extension Operators
Point Convolutional Neural Networks by Extension Operators
Matan Atzmon
Haggai Maron
Y. Lipman
3DPC
27
537
0
27 Mar 2018
SO-Net: Self-Organizing Network for Point Cloud Analysis
SO-Net: Self-Organizing Network for Point Cloud Analysis
Jiaxin Li
Ben M. Chen
Gim Hee Lee
3DPC
52
936
0
12 Mar 2018
End-to-end learning of keypoint detector and descriptor for pose
  invariant 3D matching
End-to-end learning of keypoint detector and descriptor for pose invariant 3D matching
G. Georgakis
Srikrishna Karanam
Ziyan Wu
Jan Ernst
Jana Kosecka
3DPC
3DV
32
62
0
22 Feb 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
186
2,429
0
23 Jan 2018
Unsupervised Domain Adaptation for 3D Keypoint Estimation via View
  Consistency
Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency
Xingyi Zhou
Arjun Karpur
Chuang Gan
Linjie Luo
Qi-Xing Huang
3DPC
34
39
0
15 Dec 2017
Pointwise Convolutional Neural Networks
Pointwise Convolutional Neural Networks
Binh-Son Hua
Minh-Khoi Tran
Sai-Kit Yeung
3DPC
3DV
42
504
0
14 Dec 2017
DGCNN: Disordered Graph Convolutional Neural Network Based on the
  Gaussian Mixture Model
DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model
Bo Wu
Yang Liu
B. Lang
Lei Huang
33
69
0
10 Dec 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
3DPC
3DV
217
11,000
0
07 Jun 2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on
  Graphs
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
M. Simonovsky
N. Komodakis
GNN
97
1,223
0
10 Apr 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
53
981
0
04 Apr 2017
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
Angela Dai
Angel X. Chang
Manolis Savva
Maciej Halber
Thomas Funkhouser
Matthias Nießner
3DPC
3DV
169
4,001
0
14 Feb 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
3DH
3DPC
3DV
PINN
361
14,191
0
02 Dec 2016
OctNet: Learning Deep 3D Representations at High Resolutions
OctNet: Learning Deep 3D Representations at High Resolutions
Gernot Riegler
Ali O. Ulusoy
Andreas Geiger
3DV
3DPC
109
1,478
0
15 Nov 2016
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
80
18,534
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
316
149,474
0
22 Dec 2014
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