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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

19 November 2019
Xiang Gao
Wei Hu
Guo-Jun Qi
    3DPC
ArXivPDFHTML

Papers citing "GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations"

11 / 11 papers shown
Title
Data Augmentation-free Unsupervised Learning for 3D Point Cloud
  Understanding
Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding
Guofeng Mei
Cristiano Saltori
Fabio Poiesi
Jian Zhang
Elisa Ricci
N. Sebe
Qiang Wu
3DPC
59
5
0
06 Oct 2022
Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled
  Primitives
Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled Primitives
Xinke Li
Henghui Ding
Zekun Tong
Yuwei Wu
Yeow Meng Chee
DD
40
4
0
25 May 2022
Upsampling Autoencoder for Self-Supervised Point Cloud Learning
Upsampling Autoencoder for Self-Supervised Point Cloud Learning
Cheng Zhang
Jian Shi
X. Deng
Zizhao Wu
3DPC
27
8
0
21 Mar 2022
Self-Supervised Representation Learning: Introduction, Advances and
  Challenges
Self-Supervised Representation Learning: Introduction, Advances and Challenges
Linus Ericsson
Henry Gouk
Chen Change Loy
Timothy M. Hospedales
SSL
OOD
AI4TS
34
273
0
18 Oct 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
15
81
0
05 Jul 2021
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations
Xiang Gao
Wei Hu
Guo-Jun Qi
29
6
0
01 Mar 2021
Differentiable Manifold Reconstruction for Point Cloud Denoising
Differentiable Manifold Reconstruction for Point Cloud Denoising
Shitong Luo
Wei Hu
3DPC
27
131
0
27 Jul 2020
TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly
  Representations
TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations
Jiahao Pang
Duanshun Li
Dong Tian
3DPC
13
40
0
17 Jun 2020
A Graph-CNN for 3D Point Cloud Classification
A Graph-CNN for 3D Point Cloud Classification
Yingxue Zhang
Michael G. Rabbat
3DPC
118
158
0
28 Nov 2018
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
259
3,240
0
24 Nov 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
180
1,941
0
24 Oct 2016
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