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Learning SO(3) Equivariant Representations with Spherical CNNs

Learning SO(3) Equivariant Representations with Spherical CNNs

17 November 2017
Carlos Esteves
Christine Allen-Blanchette
A. Makadia
Kostas Daniilidis
ArXivPDFHTML

Papers citing "Learning SO(3) Equivariant Representations with Spherical CNNs"

50 / 299 papers shown
Title
Capacity of Group-invariant Linear Readouts from Equivariant
  Representations: How Many Objects can be Linearly Classified Under All
  Possible Views?
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?
M. Farrell
Blake Bordelon
Shubhendu Trivedi
C. Pehlevan
18
5
0
14 Oct 2021
Implicit Bias of Linear Equivariant Networks
Implicit Bias of Linear Equivariant Networks
Hannah Lawrence
Kristian Georgiev
A. Dienes
B. Kiani
AI4CE
40
14
0
12 Oct 2021
Equivariant Subgraph Aggregation Networks
Equivariant Subgraph Aggregation Networks
Beatrice Bevilacqua
Fabrizio Frasca
Derek Lim
Balasubramaniam Srinivasan
Chen Cai
G. Balamurugan
M. Bronstein
Haggai Maron
53
175
0
06 Oct 2021
You Only Hypothesize Once: Point Cloud Registration with
  Rotation-equivariant Descriptors
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors
Haiping Wang
Yuan Liu
Zhen Dong
Wenping Wang
3DPC
27
124
0
01 Sep 2021
RPR-Net: A Point Cloud-based Rotation-aware Large Scale Place
  Recognition Network
RPR-Net: A Point Cloud-based Rotation-aware Large Scale Place Recognition Network
Zhaoxin Fan
Zhenbo Song
Wenping Zhang
Hongyan Liu
Jun He
Xiaoyong Du
3DPC
29
9
0
29 Aug 2021
Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object
  Point Clouds
Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point Clouds
Longkun Zou
Hui Tang
Ke Chen
Kui Jia
3DPC
20
62
0
20 Aug 2021
Neural TMDlayer: Modeling Instantaneous flow of features via SDE
  Generators
Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators
Zihang Meng
Vikas Singh
Sathya Ravi
37
1
0
19 Aug 2021
WSDesc: Weakly Supervised 3D Local Descriptor Learning for Point Cloud
  Registration
WSDesc: Weakly Supervised 3D Local Descriptor Learning for Point Cloud Registration
Lei Li
Hongbo Fu
M. Ovsjanikov
3DPC
13
21
0
05 Aug 2021
PSE-Match: A Viewpoint-free Place Recognition Method with Parallel
  Semantic Embedding
PSE-Match: A Viewpoint-free Place Recognition Method with Parallel Semantic Embedding
Peng Yin
Lingyun Xu
Ziyue Feng
A. Egorov
Bing Li
3DPC
16
18
0
01 Aug 2021
ASOD60K: An Audio-Induced Salient Object Detection Dataset for Panoramic
  Videos
ASOD60K: An Audio-Induced Salient Object Detection Dataset for Panoramic Videos
Yi Zhang
21
7
0
24 Jul 2021
Correspondence-Free Point Cloud Registration with SO(3)-Equivariant
  Implicit Shape Representations
Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations
Minghan Zhu
Maani Ghaffari
H. Peng
3DPC
35
36
0
21 Jul 2021
OSLO: On-the-Sphere Learning for Omnidirectional images and its
  application to 360-degree image compression
OSLO: On-the-Sphere Learning for Omnidirectional images and its application to 360-degree image compression
Navid Mahmoudian Bidgoli
Roberto G. de A. Azevedo
Thomas Maugey
A. Roumy
P. Frossard
31
13
0
19 Jul 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
24
3
0
21 Jun 2021
Equivariant Networks for Pixelized Spheres
Equivariant Networks for Pixelized Spheres
Mehran Shakerinava
Siamak Ravanbakhsh
3DPC
31
19
0
12 Jun 2021
Group Equivariant Subsampling
Group Equivariant Subsampling
Jin Xu
Hyunjik Kim
Tom Rainforth
Yee Whye Teh
26
21
0
10 Jun 2021
Encoding Involutory Invariances in Neural Networks
Encoding Involutory Invariances in Neural Networks
Anwesh Bhattacharya
M. Mattheakis
P. Protopapas
33
1
0
07 Jun 2021
Wide-Baseline Relative Camera Pose Estimation with Directional Learning
Wide-Baseline Relative Camera Pose Estimation with Directional Learning
Kefan Chen
Noah Snavely
A. Makadia
3DH
29
57
0
07 Jun 2021
VolterraNet: A higher order convolutional network with group
  equivariance for homogeneous manifolds
VolterraNet: A higher order convolutional network with group equivariance for homogeneous manifolds
Monami Banerjee
Rudrasis Chakraborty
Jose J. Bouza
B. Vemuri
33
11
0
05 Jun 2021
DISCO: accurate Discrete Scale Convolutions
DISCO: accurate Discrete Scale Convolutions
Ivan Sosnovik
A. Moskalev
A. Smeulders
26
31
0
04 Jun 2021
GemNet: Universal Directional Graph Neural Networks for Molecules
GemNet: Universal Directional Graph Neural Networks for Molecules
Johannes Klicpera
Florian Becker
Stephan Günnemann
AI4CE
39
435
0
02 Jun 2021
Deep Learning on Monocular Object Pose Detection and Tracking: A
  Comprehensive Overview
Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview
Zhaoxin Fan
Yazhi Zhu
Yulin He
Qi Sun
Hongyan Liu
Jun He
28
82
0
29 May 2021
Geometric Deep Learning and Equivariant Neural Networks
Geometric Deep Learning and Equivariant Neural Networks
Jan E. Gerken
J. Aronsson
Oscar Carlsson
H. Linander
F. Ohlsson
Christoffer Petersson
Daniel Persson
MLT
13
66
0
28 May 2021
Homogeneous vector bundles and $G$-equivariant convolutional neural
  networks
Homogeneous vector bundles and GGG-equivariant convolutional neural networks
J. Aronsson
27
24
0
12 May 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Congyue Deng
Or Litany
Yueqi Duan
A. Poulenard
Andrea Tagliasacchi
Leonidas J. Guibas
3DPC
111
316
0
25 Apr 2021
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet
  Scattering Transforms
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms
A. Saydjari
D. Finkbeiner
33
20
0
22 Apr 2021
Spherical Multi-Modal Place Recognition for Heterogeneous Sensor Systems
Spherical Multi-Modal Place Recognition for Heterogeneous Sensor Systems
Lukas Bernreiter
Lionel Ott
Juan I. Nieto
Roland Siegwart
Cesar Cadena
3DPC
19
17
0
17 Apr 2021
Deep Permutation Equivariant Structure from Motion
Deep Permutation Equivariant Structure from Motion
Dror Moran
Hodaya Koslowsky
Yoni Kasten
Haggai Maron
Meirav Galun
Ronen Basri
3DPC
23
17
0
14 Apr 2021
Autoequivariant Network Search via Group Decomposition
Autoequivariant Network Search via Group Decomposition
Sourya Basu
A. Magesh
Harshit Yadav
L. Varshney
27
6
0
10 Apr 2021
PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical
  CNNs
PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs
Zhengyang Shen
Tiancheng Shen
Zhouchen Lin
Jinwen Ma
16
18
0
08 Apr 2021
LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth
  Rendering
LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Rendering
Fu-En Wang
Yu-Hsuan Yeh
Min Sun
Wei-Chen Chiu
Yi-Hsuan Tsai
MDE
3DV
19
49
0
01 Apr 2021
Recognizing Actions in Videos from Unseen Viewpoints
Recognizing Actions in Videos from Unseen Viewpoints
A. Piergiovanni
Michael S. Ryoo
19
25
0
30 Mar 2021
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding
Sheng Deng
Xun Xu
Chaozheng Wu
Ke Chen
Kui Jia
9
112
0
30 Mar 2021
Equivariant Point Network for 3D Point Cloud Analysis
Equivariant Point Network for 3D Point Cloud Analysis
Haiwei Chen
Shichen Liu
Weikai Chen
Hao Li
3DPC
19
99
0
25 Mar 2021
Concentric Spherical GNN for 3D Representation Learning
Concentric Spherical GNN for 3D Representation Learning
James Fox
Bo-Lu Zhao
S. Rajamanickam
R. Ramprasad
Le Song
3DPC
18
4
0
18 Mar 2021
Towards physically consistent data-driven weather forecasting:
  Integrating data assimilation with equivariance-preserving deep spatial
  transformers
Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers
A. Chattopadhyay
M. Mustafa
P. Hassanzadeh
Eviatar Bach
K. Kashinath
AI4CE
18
25
0
16 Mar 2021
CORSAIR: Convolutional Object Retrieval and Symmetry-AIded Registration
CORSAIR: Convolutional Object Retrieval and Symmetry-AIded Registration
Tianyu Zhao
Qiaojun Feng
Sai Jadhav
Nikolay Atanasov
3DPC
28
8
0
11 Mar 2021
DualPoseNet: Category-level 6D Object Pose and Size Estimation Using
  Dual Pose Network with Refined Learning of Pose Consistency
DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency
Jiehong Lin
Zewei Wei
Zhihao Li
Songcen Xu
Kui Jia
Yuanqing Li
3DPC
30
129
0
11 Mar 2021
Perceiver: General Perception with Iterative Attention
Perceiver: General Perception with Iterative Attention
Andrew Jaegle
Felix Gimeno
Andrew Brock
Andrew Zisserman
Oriol Vinyals
João Carreira
VLM
ViT
MDE
85
973
0
04 Mar 2021
EllipsoidNet: Ellipsoid Representation for Point Cloud Classification
  and Segmentation
EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and Segmentation
Yecheng Lyu
Xinming Huang
Ziming Zhang
3DPC
22
9
0
03 Mar 2021
Model-Based Domain Generalization
Model-Based Domain Generalization
Alexander Robey
George J. Pappas
Hamed Hassani
OOD
45
129
0
23 Feb 2021
Rotation-Equivariant Deep Learning for Diffusion MRI
Rotation-Equivariant Deep Learning for Diffusion MRI
Philip Muller
Vladimir Golkov
V. Tomassini
Daniel Cremers
DiffM
MedIm
19
28
0
13 Feb 2021
Generative Models as Distributions of Functions
Generative Models as Distributions of Functions
Emilien Dupont
Yee Whye Teh
Arnaud Doucet
22
103
0
09 Feb 2021
Single-Shot Cuboids: Geodesics-based End-to-end Manhattan Aligned Layout
  Estimation from Spherical Panoramas
Single-Shot Cuboids: Geodesics-based End-to-end Manhattan Aligned Layout Estimation from Spherical Panoramas
N. Zioulis
Federico Álvarez
D. Zarpalas
P. Daras
3DV
16
12
0
07 Feb 2021
Scattering Networks on the Sphere for Scalable and Rotationally
  Equivariant Spherical CNNs
Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs
Jason D. McEwen
C. Wallis
Augustine N. Mavor-Parker
31
22
0
04 Feb 2021
Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes
Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes
Keyang Zhou
Bharat Lal Bhatnagar
Bernt Schiele
Gerard Pons-Moll
3DPC
24
5
0
01 Feb 2021
Towards glass-box CNNs
Towards glass-box CNNs
Manaswini Piduguralla
Jignesh S. Bhatt
27
3
0
11 Jan 2021
Spherical Transformer: Adapting Spherical Signal to CNNs
Spherical Transformer: Adapting Spherical Signal to CNNs
Haikuan Du
H. Cao
Junchi Yan
Shen Cai
ViT
20
4
0
11 Jan 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
126
268
0
07 Jan 2021
Conditional Local Convolution for Spatio-temporal Meteorological
  Forecasting
Conditional Local Convolution for Spatio-temporal Meteorological Forecasting
Haitao Lin
Zhangyang Gao
Yongjie Xu
Lirong Wu
Ling Li
Stan. Z. Li
AI4TS
130
72
0
04 Jan 2021
Learning Rotation-Invariant Representations of Point Clouds Using
  Aligned Edge Convolutional Neural Networks
Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks
Junming Zhang
Ming-Yuan Yu
Ram Vasudevan
Matthew Johnson-Roberson
3DPC
34
24
0
02 Jan 2021
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