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

Guo-Jun Qi

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

7 / 7 papers shown

Title
Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding Guofeng Mei Cristiano Saltori Fabio Poiesi Jian Andrew Zhang Elisa Ricci N. Sebe Qiang Wu 3DPC 42 5 0 06 Oct 2022
Upsampling Autoencoder for Self-Supervised Point Cloud Learning Cheng Zhang Jian Shi X. Deng Zizhao Wu 3DPC 22 8 0 21 Mar 2022
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning Bianli Du Xiang Gao Wei Hu Xin Li 3DPC SSL 8 81 0 05 Jul 2021
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations Xiang Gao Wei Hu Guo-Jun Qi 21 6 0 01 Mar 2021
A Graph-CNN for 3D Point Cloud Classification Yingxue Zhang Michael G. Rabbat 3DPC 105 158 0 28 Nov 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,202 0 24 Nov 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 164 1,926 0 24 Oct 2016