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Harmonic Networks: Deep Translation and Rotation Equivariance
14 December 2016
Daniel E. Worrall
Stephan J. Garbin
Daniyar Turmukhambetov
Gabriel J. Brostow
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Papers citing
"Harmonic Networks: Deep Translation and Rotation Equivariance"
50 / 419 papers shown
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DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction
Yuliang Zhu
Jing Cheng
Qi Xie
Zhuo-Xu Cui
Qingyong Zhu
Yuanyuan Liu
Xin Liu
Jianfeng Ren
Chengbo Wang
Dong Liang
117
0
0
12 Jun 2025
Moment kernels: a simple and scalable approach for equivariance to rotations and reflections in deep convolutional networks
Zachary Schlamowitz
Andrew Bennecke
Daniel J. Tward
34
0
0
27 May 2025
Rotation-Equivariant Self-Supervised Method in Image Denoising
Hanze Liu
J. Fu
Qi Xie
Deyu Meng
SSL
54
0
0
26 May 2025
A Regularization-Guided Equivariant Approach for Image Restoration
Yulu Bai
J. Fu
Qi Xie
Deyu Meng
40
0
0
26 May 2025
Learning (Approximately) Equivariant Networks via Constrained Optimization
Andrei Manolache
Luiz F.O. Chamon
Mathias Niepert
126
0
0
19 May 2025
Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology
Fuyao Chen
Yuexi Du
Tal Zeevi
Nicha Dvornek
John Onofrey
57
0
0
08 May 2025
GMR-Conv: An Efficient Rotation and Reflection Equivariant Convolution Kernel Using Gaussian Mixture Rings
Yuexi Du
Jiazhen Zhang
Nicha Dvornek
J. Onofrey
AAML
129
0
0
03 Apr 2025
On Symmetries in Convolutional Weights
B. Alsallakh
Timothy Wroge
Vivek Miglani
Narine Kokhlikyan
197
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24 Mar 2025
Permutation Equivariant Neural Networks for Symmetric Tensors
Edward Pearce-Crump
208
1
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14 Mar 2025
Rethinking Rotation-Invariant Recognition of Fine-grained Shapes from the Perspective of Contour Points
Yanjie Xu
Handing Xu
Tianmu Wang
Yaguan Li
Yunzhi Chen
Zhenguo Nie
3DPC
138
0
0
14 Mar 2025
SRE-Conv: Symmetric Rotation Equivariant Convolution for Biomedical Image Classification
Yuexi Du
Jiazhen Zhang
Tal Zeevi
Nicha Dvornek
J. Onofrey
70
1
0
17 Jan 2025
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Jiajun Zhu
Peihao Wang
Ruisi Cai
Jason D. Lee
Pan Li
Ziyi Wang
KELM
112
1
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03 Jan 2025
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory
Andrea Perin
Stéphane Deny
138
2
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16 Dec 2024
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Robin Ghyselinck
Valentin Delchevalerie
Bruno Dumas
Benoit Frénay
191
0
0
12 Dec 2024
S
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3
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SE(3)
SE
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Yinshuang Xu
Dian Chen
Katherine Liu
Sergey Zakharov
Rares Andrei Ambrus
Kostas Daniilidis
Vitor Campagnolo Guizilini
MDE
66
1
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11 Nov 2024
Harmformer: Harmonic Networks Meet Transformers for Continuous Roto-Translation Equivariance
Tomáš Karella
Adam Harmanec
J. Kotera
Jan Blažek
F. Šroubek
74
1
0
06 Nov 2024
Approximate Equivariance in Reinforcement Learning
Jung Yeon Park
Sujay Bhatt
Sihan Zeng
Lawson L. S. Wong
Alec Koppel
Sumitra Ganesh
Robin Walters
98
1
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06 Nov 2024
PreCM: The Padding-based Rotation Equivariant Convolution Mode for Semantic Segmentation
Xinyu Xu
Huazhen Liu
Huilin Xiong
Wenhao Yu
Tao Zhang
228
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Convolutional Filtering with RKHS Algebras
Alejandro Parada-Mayorga
Leopoldo Agorio
Alejandro Ribeiro
J. Bazerque
81
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02 Nov 2024
Unsupervised Representation Learning from Sparse Transformation Analysis
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Thomas Anderson Keller
Yisong Yue
Pietro Perona
Max Welling
DRL
76
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07 Oct 2024
Machine learning approaches for automatic defect detection in photovoltaic systems
Swayam Rajat Mohanty
Moin Uddin Maruf
Vaibhav Singh
Zeeshan Ahmad
33
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24 Sep 2024
Adaptive Sampling for Continuous Group Equivariant Neural Networks
Berfin Inal
Gabriele Cesa
62
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13 Sep 2024
Attention Down-Sampling Transformer, Relative Ranking and Self-Consistency for Blind Image Quality Assessment
Mohammed Alsaafin
Musab Alsheikh
Saeed Anwar
Muhammad Usman
ViT
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11 Sep 2024
Weakly-supervised Camera Localization by Ground-to-satellite Image Registration
Yujiao Shi
Hongdong Li
Akhil Perincherry
Ankit Vora
SSL
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132
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10 Sep 2024
EqNIO: Subequivariant Neural Inertial Odometry
Royina Karegoudra Jayanth
Yinshuang Xu
Ziyun Wang
Evangelos Chatzipantazis
Daniel Gehrig
Kostas Daniilidis
102
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12 Aug 2024
Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments
Runfa Chen
Ling Wang
Yu Du
Tianrui Xue
Gang Hua
Jianwei Zhang
Wenbing Huang
OffRL
103
1
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17 Jul 2024
Understanding the Role of Invariance in Transfer Learning
Till Speicher
Vedant Nanda
Krishna P. Gummadi
SSL
OOD
85
1
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05 Jul 2024
Learning Color Equivariant Representations
Felix O'Mahony
Yulong Yang
Christine Allen-Blanchette
73
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13 Jun 2024
A novel approach to graph distinction through GENEOs and permutants
Giovanni Bocchi
Massimo Ferri
Patrizio Frosini
128
2
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12 Jun 2024
CoNO: Complex Neural Operator for Continous Dynamical Physical Systems
Karn Tiwari
N. M. A. Krishnan
P. PrathoshA
108
1
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01 Jun 2024
Flexible SE(2) graph neural networks with applications to PDE surrogates
Maria Bånkestad
Olof Mogren
Aleksis Pirinen
96
1
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30 May 2024
Neural Isometries: Taming Transformations for Equivariant ML
Thomas W. Mitchel
Michael Taylor
Vincent Sitzmann
66
1
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29 May 2024
Steerable Transformers for Volumetric Data
Soumyabrata Kundu
Risi Kondor
LLMSV
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116
1
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24 May 2024
Graph as Point Set
Xiyuan Wang
Pan Li
Muhan Zhang
GNN
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87
4
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05 May 2024
Multi-view Action Recognition via Directed Gromov-Wasserstein Discrepancy
Hoang-Quan Nguyen
Thanh-Dat Truong
Khoa Luu
89
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02 May 2024
Achieving Rotation Invariance in Convolution Operations: Shifting from Data-Driven to Mechanism-Assured
Hanlin Mo
Guoying Zhao
OOD
71
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17 Apr 2024
Equivariant graph convolutional neural networks for the representation of homogenized anisotropic microstructural mechanical response
Ravi G. Patel
Cosmin Safta
Reese E. Jones
AI4CE
70
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Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving
Steffen Hagedorn
Marcel Milich
Alexandru Paul Condurache
127
4
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17 Mar 2024
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets
Lorenzo Brigato
Stavroula Mougiakakou
69
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08 Mar 2024
Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales
Shuren Qi
Yushu Zhang
Chao Wang
Zhihua Xia
Xiaochun Cao
Jian Weng
63
1
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23 Feb 2024
G-RepsNet: A Fast and General Construction of Equivariant Networks for Arbitrary Matrix Groups
Sourya Basu
Suhas Lohit
Matthew Brand
70
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23 Feb 2024
Approximately Piecewise E(3) Equivariant Point Networks
Matan Atzmon
Jiahui Huang
Francis Williams
Or Litany
3DPC
64
2
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13 Feb 2024
Social Physics Informed Diffusion Model for Crowd Simulation
Hongyi Chen
Jingtao Ding
Yong Li
Yue Wang
Xiao-Ping Zhang
AI4CE
76
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08 Feb 2024
Deep Continuous Networks
Nergis Tomen
S. Pintea
Jan van Gemert
149
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A Characterization Theorem for Equivariant Networks with Point-wise Activations
Marco Pacini
Xiaowen Dong
Bruno Lepri
G. Santin
70
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17 Jan 2024
Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Polyp Segmentation
Yunqi Gu
Tao Zhou
Yizhe Zhang
Yi Zhou
Kelei He
Chen Gong
Huazhu Fu
117
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26 Dec 2023
Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration
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Qi Xie
Deyu Meng
Zongben Xu
94
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SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI
Benjamin Billot
Neel Dey
Daniel Moyer
M. Hoffmann
Esra Abaci Turk
B. Gagoski
Ellen Grant
Polina Golland
3DPC
115
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Steerers: A framework for rotation equivariant keypoint descriptors
Georg Bökman
Johan Edstedt
Michael Felsberg
Fredrik Kahl
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Few-shot Shape Recognition by Learning Deep Shape-aware Features
Wenlong Shi
Changsheng Lu
Ming Shao
Yinjie Zhang
Si-Yu Xia
Piotr Koniusz
88
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03 Dec 2023
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