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  4. Cited By
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local
  Descriptors

PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors

30 August 2018
Haowen Deng
Tolga Birdal
Slobodan Ilic
    3DPC
ArXivPDFHTML

Papers citing "PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors"

32 / 82 papers shown
Title
Robust Neural Routing Through Space Partitions for Camera Relocalization
  in Dynamic Indoor Environments
Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments
Siyan Dong
Qingnan Fan
He Wang
Ji Shi
Li Yi
Thomas Funkhouser
Baoquan Chen
Leonidas J. Guibas
3DV
3DPC
18
27
0
08 Dec 2020
PREDATOR: Registration of 3D Point Clouds with Low Overlap
PREDATOR: Registration of 3D Point Clouds with Low Overlap
Shengyu Huang
Zan Gojcic
Mikhail (Misha) Usvyatsov
A. Wieser
Konrad Schindler
3DPC
23
470
0
25 Nov 2020
SOE-Net: A Self-Attention and Orientation Encoding Network for Point
  Cloud based Place Recognition
SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition
Yan Xia
Yusheng Xu
Shuang Li
Rui Wang
Juan Du
Daniel Cremers
Uwe Stilla
3DPC
11
146
0
24 Nov 2020
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud
  Registration
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
Sheng Ao
Qingyong Hu
Bo Yang
Andrew Markham
Yulan Guo
3DPC
OOD
42
273
0
24 Nov 2020
Deep Positional and Relational Feature Learning for Rotation-Invariant
  Point Cloud Analysis
Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis
Ruixuan Yu
Xin Wei
Federico Tombari
Jian Sun
3DPC
27
37
0
18 Nov 2020
Learning to Orient Surfaces by Self-supervised Spherical CNNs
Learning to Orient Surfaces by Self-supervised Spherical CNNs
Riccardo Spezialetti
Federico Stella
M. Marcon
Luciano Silva
Samuele Salti
Luigi Di Stefano
11
40
0
06 Nov 2020
Graphite: GRAPH-Induced feaTure Extraction for Point Cloud Registration
Graphite: GRAPH-Induced feaTure Extraction for Point Cloud Registration
Mahdi Saleh
Shervin Dehghani
Benjamin Busam
Nassir Navab
Federico Tombari
3DPC
38
14
0
18 Oct 2020
Mapping of Sparse 3D Data using Alternating Projection
Mapping of Sparse 3D Data using Alternating Projection
Siddhant Ranade
Xin Yu
S. Kakkar
Pedro Miraldo
Srikumar Ramalingam
3DPC
43
2
0
04 Oct 2020
Global Context Aware Convolutions for 3D Point Cloud Understanding
Global Context Aware Convolutions for 3D Point Cloud Understanding
Zhiyuan Zhang
Binh-Son Hua
Wei Chen
Yibin Tian
Sai-Kit Yeung
3DPC
10
41
0
07 Aug 2020
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance
  Discrimination
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination
Peng-Shuai Wang
Yuqi Yang
Qian-Fang Zou
Zhirong Wu
Yang Liu
Xin Tong
3DPC
34
53
0
03 Aug 2020
DNF-Net: a Deep Normal Filtering Network for Mesh Denoising
DNF-Net: a Deep Normal Filtering Network for Mesh Denoising
Xianzhi Li
Ruihui Li
Lei Zhu
Chi-Wing Fu
Pheng-Ann Heng
AI4CE
33
49
0
28 Jun 2020
Info3D: Representation Learning on 3D Objects using Mutual Information
  Maximization and Contrastive Learning
Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning
Aditya Sanghi
3DPC
SSL
11
101
0
04 Jun 2020
Global-Local Bidirectional Reasoning for Unsupervised Representation
  Learning of 3D Point Clouds
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
Yongming Rao
Jiwen Lu
Jie Zhou
3DPC
33
131
0
29 Mar 2020
A Rotation-Invariant Framework for Deep Point Cloud Analysis
A Rotation-Invariant Framework for Deep Point Cloud Analysis
Xianzhi Li
Ruihui Li
Guangyong Chen
Chi-Wing Fu
Daniel Cohen-Or
Pheng-Ann Heng
3DPC
120
109
0
16 Mar 2020
End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds
End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds
Lei Li
Siyu Zhu
Hongbo Fu
P. Tan
Chiew-Lan Tai
3DPC
39
105
0
12 Mar 2020
Self-supervised Point Set Local Descriptors for Point Cloud Registration
Self-supervised Point Set Local Descriptors for Point Cloud Registration
Yijun Yuan
Jiawei Hou
A. Nüchter
Sören Schwertfeger
3DPC
25
26
0
11 Mar 2020
Continuous Geodesic Convolutions for Learning on 3D Shapes
Continuous Geodesic Convolutions for Learning on 3D Shapes
Zhangsihao Yang
Or Litany
Tolga Birdal
Srinath Sridhar
Leonidas J. Guibas
3DH
3DPC
3DV
18
29
0
06 Feb 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds
Quaternion Equivariant Capsule Networks for 3D Point Clouds
Yongheng Zhao
Tolga Birdal
J. E. Lenssen
Emanuele Menegatti
Leonidas J. Guibas
Federico Tombari
3DPC
26
88
0
27 Dec 2019
LCD: Learned Cross-Domain Descriptors for 2D-3D Matching
LCD: Learned Cross-Domain Descriptors for 2D-3D Matching
Quang Pham
Mikaela Angelina Uy
Binh-Son Hua
D. Nguyen
Gemma Roig
Sai-Kit Yeung
3DPC
3DV
21
73
0
21 Nov 2019
Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods
Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods
Luca Della Libera
Vladimir Golkov
Yue Zhu
Arman Mielke
Daniel Cremers
3DH
3DPC
25
4
0
31 Oct 2019
Unsupervised Multi-Task Feature Learning on Point Clouds
Unsupervised Multi-Task Feature Learning on Point Clouds
Kaveh Hassani
Mike Haley
SSL
3DPC
117
194
0
18 Oct 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
27
167
0
17 Aug 2019
Adversarial shape perturbations on 3D point clouds
Adversarial shape perturbations on 3D point clouds
Daniel Liu
Ronald Yu
Hao Su
3DPC
33
12
0
16 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
22
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
27
144
0
30 Jul 2019
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
11
270
0
10 May 2019
Probabilistic Permutation Synchronization using the Riemannian Structure
  of the Birkhoff Polytope
Probabilistic Permutation Synchronization using the Riemannian Structure of the Birkhoff Polytope
Tolga Birdal
Umut Simsekli
30
37
0
11 Apr 2019
PointWise: An Unsupervised Point-wise Feature Learning Network
PointWise: An Unsupervised Point-wise Feature Learning Network
Matan Shoef
Sharon Fogel
Daniel Cohen-Or
3DPC
14
10
0
14 Jan 2019
Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud
  Classifiers
Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers
Daniel Liu
Ronald Yu
Hao Su
3DPC
34
165
0
10 Jan 2019
Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric
  Fits
Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits
Tolga Birdal
Benjamin Busam
Nassir Navab
Slobodan Ilic
P. Sturm
3DPC
17
23
0
04 Jan 2019
The Perfect Match: 3D Point Cloud Matching with Smoothed Densities
The Perfect Match: 3D Point Cloud Matching with Smoothed Densities
Zan Gojcic
Caifa Zhou
Jan Dirk Wegner
A. Wieser
3DPC
3DV
44
453
0
16 Nov 2018
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
189
1,942
0
24 Oct 2016
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