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Representation Learning on Unit Ball with 3D Roto-Translational
  Equivariance

Representation Learning on Unit Ball with 3D Roto-Translational Equivariance

30 November 2019
Sameera Ramasinghe
Salman Khan
Nick Barnes
Stephen Gould
ArXivPDFHTML

Papers citing "Representation Learning on Unit Ball with 3D Roto-Translational Equivariance"

11 / 11 papers shown
Title
Enabling equivariance for arbitrary Lie groups
Enabling equivariance for arbitrary Lie groups
L. MacDonald
Sameera Ramasinghe
Simon Lucey
AAML
11
25
0
16 Nov 2021
Robust Pooling through the Data Mode
Robust Pooling through the Data Mode
Ayman Mukhaimar
Ruwan Tennakoon
Chow Yin Lai
R. Hoseinnezhad
A. Bab-Hadiashar
3DPC
3DV
OOD
8
3
0
21 Jun 2021
Conditional Generative Modeling via Learning the Latent Space
Conditional Generative Modeling via Learning the Latent Space
Sameera Ramasinghe
Kanchana Ranasinghe
Salman Khan
Nick Barnes
Stephen Gould
BDL
23
9
0
07 Oct 2020
Robust Object Classification Approach using Spherical Harmonics
Robust Object Classification Approach using Spherical Harmonics
Ayman Mukhaimar
Ruwan Tennakoon
Chow Yin Lai
R. Hoseinnezhad
A. Bab-Hadiashar
3DPC
11
6
0
02 Sep 2020
Transductive Zero-Shot Learning for 3D Point Cloud Classification
Transductive Zero-Shot Learning for 3D Point Cloud Classification
A. Cheraghian
Shafin Rahman
Dylan Campbell
L. Petersson
3DPC
4
56
0
16 Dec 2019
Spectral-GANs for High-Resolution 3D Point-cloud Generation
Spectral-GANs for High-Resolution 3D Point-cloud Generation
Sameera Ramasinghe
Salman Khan
Nick Barnes
Stephen Gould
3DPC
11
36
0
04 Dec 2019
Blended Convolution and Synthesis for Efficient Discrimination of 3D
  Shapes
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes
Sameera Ramasinghe
Salman Khan
Nick Barnes
Stephen Gould
3DPC
9
4
0
24 Aug 2019
A General Theory of Equivariant CNNs on Homogeneous Spaces
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco S. Cohen
Mario Geiger
Maurice Weiler
MLT
AI4CE
149
308
0
05 Nov 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
234
1,811
0
25 Nov 2016
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
236
3,234
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
164
1,940
0
24 Oct 2016
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