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Upsampling Autoencoder for Self-Supervised Point Cloud Learning

Upsampling Autoencoder for Self-Supervised Point Cloud Learning

21 March 2022
Cheng Zhang
Jian Shi
X. Deng
Zizhao Wu
    3DPC
ArXivPDFHTML

Papers citing "Upsampling Autoencoder for Self-Supervised Point Cloud Learning"

50 / 55 papers shown
Title
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
366
7,600
0
11 Nov 2021
Guided Point Contrastive Learning for Semi-supervised Point Cloud
  Semantic Segmentation
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation
Li Jiang
Shaoshuai Shi
Zhuotao Tian
Xin Lai
Shu Liu
Chi-Wing Fu
Jiaya Jia
SSL
3DPC
151
117
0
15 Oct 2021
Staying in Shape: Learning Invariant Shape Representations using
  Contrastive Learning
Staying in Shape: Learning Invariant Shape Representations using Contrastive Learning
Jeffrey Gu
Serena Yeung
45
5
0
08 Jul 2021
Self-Contrastive Learning with Hard Negative Sampling for
  Self-supervised Point Cloud Learning
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning
Bianli Du
Xiang Gao
Wei Hu
Xin Li
3DPC
SSL
29
82
0
05 Jul 2021
Point Cloud Upsampling via Disentangled Refinement
Point Cloud Upsampling via Disentangled Refinement
Ruihui Li
Xianzhi Li
Pheng-Ann Heng
Chi-Wing Fu
3DPC
95
125
0
09 Jun 2021
Semantic Segmentation for Real Point Cloud Scenes via Bilateral
  Augmentation and Adaptive Fusion
Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion
Shi Qiu
Saeed Anwar
Nick Barnes
3DPC
38
204
0
12 Mar 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
448
3,660
0
24 Feb 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
147
269
0
07 Jan 2021
PCT: Point cloud transformer
PCT: Point cloud transformer
Meng-Hao Guo
Junxiong Cai
Zheng-Ning Liu
Tai-Jiang Mu
Ralph Robert Martin
Shimin Hu
ViT
3DPC
112
1,599
0
17 Dec 2020
Point Transformer
Point Transformer
Nico Engel
Vasileios Belagiannis
Klaus C. J. Dietmayer
3DPC
142
1,972
0
02 Nov 2020
Unsupervised Point Cloud Pre-Training via Occlusion Completion
Unsupervised Point Cloud Pre-Training via Occlusion Completion
Hanchen Wang
Qi Liu
Xiangyu Yue
Joan Lasenby
Matt J. Kusner
3DPC
26
245
0
02 Oct 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
46
53
0
03 Aug 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 Guibas
Or Litany
3DPC
180
631
0
21 Jul 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
268
6,718
0
13 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
39
131
0
29 Mar 2020
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks
  with Adaptive Sampling
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling
Xu Yan
Chaoda Zheng
Zhuguo Li
Sheng Wang
Shuguang Cui
3DPC
71
549
0
01 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
208
18,607
0
13 Feb 2020
Grid-GCN for Fast and Scalable Point Cloud Learning
Grid-GCN for Fast and Scalable Point Cloud Learning
Qiangeng Xu
Xudong Sun
Cho-Ying Wu
Panqu Wang
Ulrich Neumann
3DPC
GNN
60
244
0
06 Dec 2019
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
Qingyong Hu
Bo Yang
Linhai Xie
Stefano Rosa
Yulan Guo
Zhihua Wang
A. Trigoni
Andrew Markham
3DPC
81
1,480
0
25 Nov 2019
GraphTER: Unsupervised Learning of Graph Transformation Equivariant
  Representations via Auto-Encoding Node-wise Transformations
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations
Xiang Gao
Wei Hu
Guo-Jun Qi
3DPC
53
43
0
19 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
109
12,007
0
13 Nov 2019
Unsupervised Multi-Task Feature Learning on Point Clouds
Unsupervised Multi-Task Feature Learning on Point Clouds
Kaveh Hassani
Mike Haley
SSL
3DPC
157
194
0
18 Oct 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
94
143
0
30 Jul 2019
PU-GAN: a Point Cloud Upsampling Adversarial Network
PU-GAN: a Point Cloud Upsampling Adversarial Network
Ruihui Li
Xianzhi Li
Chi-Wing Fu
Daniel Cohen-Or
Pheng-Ann Heng
3DPC
43
396
0
25 Jul 2019
Point-Voxel CNN for Efficient 3D Deep Learning
Point-Voxel CNN for Efficient 3D Deep Learning
Zhijian Liu
Haotian Tang
Chengyue Wu
Song Han
3DPC
93
669
0
08 Jul 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
129
2,385
0
13 Jun 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
90
888
0
16 Apr 2019
Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning
Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning
Loic Landrieu
Mohamed Boussaha
3DPC
54
151
0
03 Apr 2019
Patch-based Progressive 3D Point Set Upsampling
Patch-based Progressive 3D Point Set Upsampling
Yifan Wang
Shihao Wu
J. Herrmann
Daniel Cohen-Or
O. Sorkine-Hornung
3DPC
51
268
0
27 Nov 2018
PointConv: Deep Convolutional Networks on 3D Point Clouds
PointConv: Deep Convolutional Networks on 3D Point Clouds
Wenxuan Wu
Zhongang Qi
Fuxin Li
3DPC
103
1,552
0
17 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
37
319
0
06 Nov 2018
VoxSegNet: Volumetric CNNs for Semantic Part Segmentation of 3D Shapes
VoxSegNet: Volumetric CNNs for Semantic Part Segmentation of 3D Shapes
Zongji Wang
Feng Lu
3DPC
26
110
0
01 Sep 2018
Deep Clustering for Unsupervised Learning of Visual Features
Deep Clustering for Unsupervised Learning of Visual Features
Mathilde Caron
Piotr Bojanowski
Armand Joulin
Matthijs Douze
SSL
76
1,878
0
15 Jul 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
222
10,152
0
10 Jul 2018
Multiresolution Tree Networks for 3D Point Cloud Processing
Multiresolution Tree Networks for 3D Point Cloud Processing
Matheus Gadelha
Rui Wang
Subhransu Maji
3DV
3DPC
56
255
0
10 Jul 2018
RGCNN: Regularized Graph CNN for Point Cloud Segmentation
RGCNN: Regularized Graph CNN for Point Cloud Segmentation
Gusi Te
Wei Hu
Zongming Guo
Amin Zheng
3DPC
48
322
0
08 Jun 2018
Self-Attention Generative Adversarial Networks
Self-Attention Generative Adversarial Networks
Han Zhang
Ian Goodfellow
Dimitris N. Metaxas
Augustus Odena
GAN
109
3,710
0
21 May 2018
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
146
3,437
0
05 May 2018
Exploring the Limits of Weakly Supervised Pretraining
Exploring the Limits of Weakly Supervised Pretraining
D. Mahajan
Ross B. Girshick
Vignesh Ramanathan
Kaiming He
Manohar Paluri
Yixuan Li
Ashwin R. Bharambe
Laurens van der Maaten
VLM
162
1,362
0
02 May 2018
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional
  Filters
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
3DV
3DPC
198
769
0
30 Mar 2018
Point Convolutional Neural Networks by Extension Operators
Point Convolutional Neural Networks by Extension Operators
Matan Atzmon
Haggai Maron
Y. Lipman
3DPC
38
537
0
27 Mar 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
GNN
3DPC
223
6,076
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
198
2,429
0
23 Jan 2018
PU-Net: Point Cloud Upsampling Network
PU-Net: Point Cloud Upsampling Network
Lequan Yu
Xianzhi Li
Chi-Wing Fu
Daniel Cohen-Or
Pheng-Ann Heng
3DPC
63
575
0
21 Jan 2018
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
127
2,257
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
92
3,707
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
3DPC
3DV
256
11,000
0
07 Jun 2017
Unsupervised Learning by Predicting Noise
Unsupervised Learning by Predicting Noise
Piotr Bojanowski
Armand Joulin
OOD
SSL
45
295
0
18 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
58
982
0
04 Apr 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and
  Generative Adversarial Networks
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks
L. Mescheder
Sebastian Nowozin
Andreas Geiger
GAN
BDL
88
529
0
17 Jan 2017
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