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Harmonic Networks: Deep Translation and Rotation Equivariance
v1v2 (latest)

Harmonic Networks: Deep Translation and Rotation Equivariance

14 December 2016
Daniel E. Worrall
Stephan J. Garbin
Daniyar Turmukhambetov
Gabriel J. Brostow
ArXiv (abs)PDFHTML

Papers citing "Harmonic Networks: Deep Translation and Rotation Equivariance"

50 / 419 papers shown
Title
REST: Performance Improvement of a Black Box Model via RL-based Spatial
  Transformation
REST: Performance Improvement of a Black Box Model via RL-based Spatial Transformation
Jae Myung Kim
Hyungjin Kim
Chanwoo Park
Jungwook Lee
OOD
34
0
0
16 Feb 2020
Recurrent Attention Model with Log-Polar Mapping is Robust against
  Adversarial Attacks
Recurrent Attention Model with Log-Polar Mapping is Robust against Adversarial Attacks
Taro Kiritani
Koji Ono
AAML
36
3
0
13 Feb 2020
Incorporating Symmetry into Deep Dynamics Models for Improved
  Generalization
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization
Rui Wang
Robin Walters
Rose Yu
AI4CE
149
177
0
08 Feb 2020
Universal Equivariant Multilayer Perceptrons
Universal Equivariant Multilayer Perceptrons
Siamak Ravanbakhsh
164
51
0
07 Feb 2020
Attentive Group Equivariant Convolutional Networks
Attentive Group Equivariant Convolutional Networks
David W. Romero
Erik J. Bekkers
Jakub M. Tomczak
Mark Hoogendoorn
115
91
0
07 Feb 2020
PDE-based Group Equivariant Convolutional Neural Networks
PDE-based Group Equivariant Convolutional Neural Networks
B. Smets
J. Portegies
Erik J. Bekkers
R. Duits
AI4CE
105
54
0
24 Jan 2020
Harmonic Convolutional Networks based on Discrete Cosine Transform
Harmonic Convolutional Networks based on Discrete Cosine Transform
Matej Ulicny
V. Krylov
Rozenn Dahyot
56
36
0
18 Jan 2020
RSL-Net: Localising in Satellite Images From a Radar on the Ground
RSL-Net: Localising in Satellite Images From a Radar on the Ground
T. Y. Tang
Daniele De Martini
Dan Barnes
Paul Newman
76
64
0
09 Jan 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds
Quaternion Equivariant Capsule Networks for 3D Point Clouds
Yongheng Zhao
Tolga Birdal
J. E. Lenssen
Emanuele Menegatti
Leonidas Guibas
Federico Tombari
3DPC
148
89
0
27 Dec 2019
Naive Gabor Networks for Hyperspectral Image Classification
Naive Gabor Networks for Hyperspectral Image Classification
Chenying Liu
Jun Li
Lin He
Antonio J. Plaza
Shutao Li
Bo Li
75
45
0
09 Dec 2019
Representation Learning on Unit Ball with 3D Roto-Translational
  Equivariance
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance
Sameera Ramasinghe
Salman Khan
Nick Barnes
Stephen Gould
64
8
0
30 Nov 2019
Motion Equivariance OF Event-based Camera Data with the Temporal
  Normalization Transform
Motion Equivariance OF Event-based Camera Data with the Temporal Normalization Transform
ZiYun Wang
41
0
0
28 Nov 2019
General $E(2)$-Equivariant Steerable CNNs
General E(2)E(2)E(2)-Equivariant Steerable CNNs
Maurice Weiler
Gabriele Cesa
126
526
0
19 Nov 2019
Affine Self Convolution
Affine Self Convolution
Nichita Diaconu
Daniel E. Worrall
35
3
0
18 Nov 2019
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On
  Transformations Co-Occurring In Data
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data
David W. Romero
Mark Hoogendoorn
68
24
0
18 Nov 2019
RotationOut as a Regularization Method for Neural Network
RotationOut as a Regularization Method for Neural Network
Kaiqin Hu
Barnabás Póczós
45
1
0
18 Nov 2019
GIFT: Learning Transformation-Invariant Dense Visual Descriptors via
  Group CNNs
GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs
Yuan Liu
Zehong Shen
Zhixuan Lin
Sida Peng
Hujun Bao
Xiaowei Zhou
80
96
0
14 Nov 2019
Learning Non-Parametric Invariances from Data with Permanent Random
  Connectomes
Learning Non-Parametric Invariances from Data with Permanent Random Connectomes
Dipan K. Pal
Akshay Chawla
Marios Savvides
43
1
0
13 Nov 2019
Chirality Nets for Human Pose Regression
Chirality Nets for Human Pose Regression
Raymond A. Yeh
Yuan-Ting Hu
Alex Schwing
3DH
66
50
0
31 Oct 2019
Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods
Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods
Luca Della Libera
Vladimir Golkov
Yue Zhu
Arman Mielke
Zorah Lähner
3DH3DPC
95
4
0
31 Oct 2019
SurReal: Complex-Valued Learning as Principled Transformations on a
  Scaling and Rotation Manifold
SurReal: Complex-Valued Learning as Principled Transformations on a Scaling and Rotation Manifold
Rudrasis Chakraborty
Yifei Xing
Stella X. Yu
59
8
0
18 Oct 2019
Scale-Equivariant Steerable Networks
Scale-Equivariant Steerable Networks
Li Xiao
Michal Szmaja
A. Smeulders
129
149
0
14 Oct 2019
Deformable Kernels: Adapting Effective Receptive Fields for Object
  Deformation
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation
Hang Gao
Xizhou Zhu
Steve Lin
Jifeng Dai
130
65
0
07 Oct 2019
B-Spline CNNs on Lie Groups
B-Spline CNNs on Lie Groups
Erik J. Bekkers
AI4CE
103
131
0
26 Sep 2019
Towards Learning Affine-Invariant Representations via Data-Efficient
  CNNs
Towards Learning Affine-Invariant Representations via Data-Efficient CNNs
Xenju Xu
Guanghui Wang
Alan Sullivan
Ziming Zhang
65
23
0
31 Aug 2019
LiDARTag: A Real-Time Fiducial Tag System for Point Clouds
LiDARTag: A Real-Time Fiducial Tag System for Point Clouds
Jiunn-Kai Huang
R. Hartley
Lu Gan
J. Grizzle
76
6
0
23 Aug 2019
Unsupervised Learning Framework of Interest Point Via Properties
  Optimization
Unsupervised Learning Framework of Interest Point Via Properties Optimization
Pei Yan
Yihua Tan
Yuan Xiao
Yuan Tai
Caizhen Wen
42
2
0
26 Jul 2019
A Group-Theoretic Framework for Data Augmentation
A Group-Theoretic Framework for Data Augmentation
Shuxiao Chen
Edgar Dobriban
Jane Lee
FedML
80
38
0
25 Jul 2019
Interaction-and-Aggregation Network for Person Re-identification
Interaction-and-Aggregation Network for Person Re-identification
Rui Hou
Bingpeng Ma
Hong Chang
Xinqian Gu
Shiguang Shan
Xilin Chen
3DPC
132
342
0
19 Jul 2019
Learning Complex Basis Functions for Invariant Representations of Audio
Learning Complex Basis Functions for Invariant Representations of Audio
Stefan Lattner
M. Dörfler
A. Arzt
54
13
0
13 Jul 2019
Invariance-inducing regularization using worst-case transformations
  suffices to boost accuracy and spatial robustness
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness
Fanny Yang
Zuowen Wang
C. Heinze-Deml
128
42
0
26 Jun 2019
SurReal: Fréchet Mean and Distance Transform for Complex-Valued Deep
  Learning
SurReal: Fréchet Mean and Distance Transform for Complex-Valued Deep Learning
Rudrasis Chakraborty
Jiayun Wang
Stella X. Yu
42
15
0
24 Jun 2019
Scale Steerable Filters for Locally Scale-Invariant Convolutional Neural
  Networks
Scale Steerable Filters for Locally Scale-Invariant Convolutional Neural Networks
Rohan Ghosh
A. Gupta
60
45
0
10 Jun 2019
A Closed-Form Learned Pooling for Deep Classification Networks
A Closed-Form Learned Pooling for Deep Classification Networks
Vighnesh Birodkar
H. Mobahi
Dilip Krishnan
Samy Bengio
39
0
0
10 Jun 2019
Covariance in Physics and Convolutional Neural Networks
Covariance in Physics and Convolutional Neural Networks
Miranda C. N. Cheng
V. Anagiannis
Maurice Weiler
P. D. Haan
Taco S. Cohen
Max Welling
111
18
0
06 Jun 2019
Invariant Feature Coding using Tensor Product Representation
Invariant Feature Coding using Tensor Product Representation
Yusuke Mukuta
Tatsuya Harada
54
0
0
05 Jun 2019
Provably scale-covariant continuous hierarchical networks based on
  scale-normalized differential expressions coupled in cascade
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade
T. Lindeberg
80
19
0
29 May 2019
Deep Scale-spaces: Equivariance Over Scale
Deep Scale-spaces: Equivariance Over Scale
Daniel E. Worrall
Max Welling
BDL
80
167
0
28 May 2019
Learning to Convolve: A Generalized Weight-Tying Approach
Learning to Convolve: A Generalized Weight-Tying Approach
Nichita Diaconu
Daniel E. Worrall
MLT
66
20
0
12 May 2019
Harmonic Networks with Limited Training Samples
Harmonic Networks with Limited Training Samples
Matej Ulicny
V. Krylov
Rozenn Dahyot
85
17
0
30 Apr 2019
Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D
  Morphable Model using Deep Non-Rigid Structure from Motion
Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model using Deep Non-Rigid Structure from Motion
M. Sahasrabudhe
Zhixin Shu
Edward Bartrum
R. Güler
Dimitris Samaras
Iasonas Kokkinos
3DHDRL3DV
67
41
0
26 Apr 2019
Making Convolutional Networks Shift-Invariant Again
Making Convolutional Networks Shift-Invariant Again
Richard Y. Zhang
OOD
105
799
0
25 Apr 2019
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for
  2D Radial Cine MRI with Limited Data
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data
A. Kofler
M. Dewey
T. Schaeffter
Christian Wald
C. Kolbitsch
3DPC
67
75
0
01 Apr 2019
Equivariant Multi-View Networks
Equivariant Multi-View Networks
Carlos Esteves
Yinshuang Xu
Christine Allen-Blanchette
Kostas Daniilidis
3DPC
84
99
0
01 Apr 2019
Discrete Rotation Equivariance for Point Cloud Recognition
Discrete Rotation Equivariance for Point Cloud Recognition
Jiaxin Li
Yingcai Bi
Gim Hee Lee
3DPC
89
24
0
31 Mar 2019
Informed Machine Learning -- A Taxonomy and Survey of Integrating
  Knowledge into Learning Systems
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems
Laura von Rueden
S. Mayer
Katharina Beckh
B. Georgiev
Sven Giesselbach
...
Rajkumar Ramamurthy
Michal Walczak
Jochen Garcke
Christian Bauckhage
Jannis Schuecker
157
654
0
29 Mar 2019
Equivariant Entity-Relationship Networks
Equivariant Entity-Relationship Networks
Devon R. Graham
Junhao Wang
Siamak Ravanbakhsh
62
8
0
21 Mar 2019
A Learnable ScatterNet: Locally Invariant Convolutional Layers
A Learnable ScatterNet: Locally Invariant Convolutional Layers
Fergal Cotter
N. Kingsbury
54
22
0
07 Mar 2019
Transformation Consistent Self-ensembling Model for Semi-supervised
  Medical Image Segmentation
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation
Xuelong Li
Lequan Yu
Hao Chen
Chi-Wing Fu
Lei Xing
Pheng-Ann Heng
MedIm
92
393
0
28 Feb 2019
Motion Equivariant Networks for Event Cameras with the Temporal
  Normalization Transform
Motion Equivariant Networks for Event Cameras with the Temporal Normalization Transform
A. Z. Zhu
Ziyun Wang
Kostas Daniilidis
ViT3DPC
52
7
0
18 Feb 2019
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