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Unsupervised Point Cloud Representation Learning with Deep Neural
  Networks: A Survey

Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey

28 February 2022
Aoran Xiao
Jiaxing Huang
Dayan Guan
Xiaoqin Zhang
Shijian Lu
Ling Shao
    3DPC
ArXivPDFHTML

Papers citing "Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey"

22 / 22 papers shown
Title
Incorporating Inductive Biases to Energy-based Generative Models
Incorporating Inductive Biases to Energy-based Generative Models
Yukun Li
Li-Ping Liu
50
0
0
02 May 2025
Deep Learning on 3D Semantic Segmentation: A Detailed Review
Deep Learning on 3D Semantic Segmentation: A Detailed Review
Thodoris Betsas
Andreas Georgopoulos
Anastasios Doulamis
Pierre Grussenmeyer
3DV
3DPC
28
1
0
04 Nov 2024
Training-Free Point Cloud Recognition Based on Geometric and Semantic Information Fusion
Training-Free Point Cloud Recognition Based on Geometric and Semantic Information Fusion
Yan Chen
Di Huang
Zhichao Liao
Xi Cheng
Xinghui Li
Lone Zeng
3DPC
46
1
0
07 Sep 2024
GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D
GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D
Ali Bahri
Moslem Yazdanpanah
Mehrdad Noori
Milad Cheraghalikhani
G. A. V. Hakim
David Osowiechi
Farzad Beizaee
Ismail Ben Ayed
Christian Desrosiers
3DPC
70
1
0
20 May 2024
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
Lingdong Kong
Xiang Xu
Jun Cen
Wenwei Zhang
Liang Pan
Kai-xiang Chen
Ziwei Liu
47
5
0
25 Mar 2024
MaskLRF: Self-supervised Pretraining via Masked Autoencoding of Local
  Reference Frames for Rotation-invariant 3D Point Set Analysis
MaskLRF: Self-supervised Pretraining via Masked Autoencoding of Local Reference Frames for Rotation-invariant 3D Point Set Analysis
Takahiko Furuya
3DPC
43
2
0
01 Mar 2024
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A
  Survey
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey
Hanieh Naderi
Ivan V. Bajić
3DPC
28
7
0
01 Jul 2023
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
Aoran Xiao
Xiaoqin Zhang
Ling Shao
Shijian Lu
3DPC
29
18
0
31 May 2023
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud
  Pre-training
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
Renrui Zhang
Ziyu Guo
Rongyao Fang
Bingyan Zhao
Dong Wang
Yu Qiao
Hongsheng Li
Peng Gao
3DPC
171
244
0
28 May 2022
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D
  Scene Understanding
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding
Yujin Chen
Matthias Nießner
Angela Dai
3DPC
105
58
0
06 Dec 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
302
7,434
0
11 Nov 2021
DPC: Unsupervised Deep Point Correspondence via Cross and Self
  Construction
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction
Itai Lang
Dvir Ginzburg
S. Avidan
D. Raviv
3DPC
37
32
0
16 Oct 2021
Sampling Network Guided Cross-Entropy Method for Unsupervised Point
  Cloud Registration
Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration
Haobo Jiang
Yaqi Shen
Jin Xie
Jun Li
J. Qian
Jian Yang
3DPC
43
39
0
14 Sep 2021
Pri3D: Can 3D Priors Help 2D Representation Learning?
Pri3D: Can 3D Priors Help 2D Representation Learning?
Ji Hou
Saining Xie
Benjamin Graham
Angela Dai
Matthias Nießner
SSL
3DPC
MDE
77
79
0
22 Apr 2021
FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point
  Cloud Segmentation
FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation
Aoran Xiao
Xiaofei Yang
Shijian Lu
Dayan Guan
Jiaxing Huang
3DPC
27
48
0
01 Mar 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Zaiwei Zhang
Rohit Girdhar
Armand Joulin
Ishan Misra
3DPC
124
268
0
07 Jan 2021
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for
  3D Point Clouds
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds
Yiming Zeng
Y. Qian
Zhiyu Zhu
Junhui Hou
Hui Yuan
Ying He
3DPC
102
66
0
31 Dec 2020
PointContrast: Unsupervised Pre-training for 3D Point Cloud
  Understanding
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Saining Xie
Jiatao Gu
Demi Guo
C. Qi
Leonidas J. Guibas
Or Litany
3DPC
141
622
0
21 Jul 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
255
3,369
0
09 Mar 2020
Unsupervised Multi-Task Feature Learning on Point Clouds
Unsupervised Multi-Task Feature Learning on Point Clouds
Kaveh Hassani
Mike Haley
SSL
3DPC
114
193
0
18 Oct 2019
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 J. Guibas
3DH
3DPC
3DV
PINN
222
14,099
0
02 Dec 2016
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
168
1,940
0
24 Oct 2016
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