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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"

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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 0 0 24 Mar 2025
Permutation Equivariant Neural Networks for Symmetric Tensors Edward Pearce-Crump 208 1 0 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
Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding Jiajun Zhu Peihao Wang Ruisi Cai Jason D. Lee Pan Li Ziyi Wang KELM 112 1 0 03 Jan 2025
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory Andrea Perin Stéphane Deny 138 2 0 16 Dec 2024
On the effectiveness of Rotation-Equivariance in U-Net: A Benchmark for Image Segmentation Robin Ghyselinck Valentin Delchevalerie Bruno Dumas Benoit Frénay 191 0 0 12 Dec 2024
$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation Yinshuang Xu Dian Chen Katherine Liu Sergey Zakharov Rares Andrei Ambrus Kostas Daniilidis Vitor Campagnolo Guizilini MDE 66 1 0 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 0 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 0 0 03 Nov 2024
Convolutional Filtering with RKHS Algebras Alejandro Parada-Mayorga Leopoldo Agorio Alejandro Ribeiro J. Bazerque 81 0 0 02 Nov 2024
Unsupervised Representation Learning from Sparse Transformation Analysis Yue Song Thomas Anderson Keller Yisong Yue Pietro Perona Max Welling DRL 76 0 0 07 Oct 2024
Machine learning approaches for automatic defect detection in photovoltaic systems Swayam Rajat Mohanty Moin Uddin Maruf Vaibhav Singh Zeeshan Ahmad 33 0 0 24 Sep 2024
Adaptive Sampling for Continuous Group Equivariant Neural Networks Berfin Inal Gabriele Cesa 62 0 0 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 57 1 0 11 Sep 2024
Weakly-supervised Camera Localization by Ground-to-satellite Image Registration Yujiao Shi Hongdong Li Akhil Perincherry Ankit Vora SSL WSOL 132 5 0 10 Sep 2024
EqNIO: Subequivariant Neural Inertial Odometry Royina Karegoudra Jayanth Yinshuang Xu Ziyun Wang Evangelos Chatzipantazis Daniel Gehrig Kostas Daniilidis 102 4 0 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 0 17 Jul 2024
Understanding the Role of Invariance in Transfer Learning Till Speicher Vedant Nanda Krishna P. Gummadi SSL OOD 85 1 0 05 Jul 2024
Learning Color Equivariant Representations Felix O'Mahony Yulong Yang Christine Allen-Blanchette 73 0 0 13 Jun 2024
A novel approach to graph distinction through GENEOs and permutants Giovanni Bocchi Massimo Ferri Patrizio Frosini 128 2 0 12 Jun 2024
CoNO: Complex Neural Operator for Continous Dynamical Physical Systems Karn Tiwari N. M. A. Krishnan P. PrathoshA 108 1 0 01 Jun 2024
Flexible SE(2) graph neural networks with applications to PDE surrogates Maria Bånkestad Olof Mogren Aleksis Pirinen 96 1 0 30 May 2024
Neural Isometries: Taming Transformations for Equivariant ML Thomas W. Mitchel Michael Taylor Vincent Sitzmann 66 1 0 29 May 2024
Steerable Transformers for Volumetric Data Soumyabrata Kundu Risi Kondor LLMSV ViT 116 1 0 24 May 2024
Graph as Point Set Xiyuan Wang Pan Li Muhan Zhang GNN 3DPC PINN 87 4 0 05 May 2024
Multi-view Action Recognition via Directed Gromov-Wasserstein Discrepancy Hoang-Quan Nguyen Thanh-Dat Truong Khoa Luu 89 1 0 02 May 2024
Achieving Rotation Invariance in Convolution Operations: Shifting from Data-Driven to Mechanism-Assured Hanlin Mo Guoying Zhao OOD 71 0 0 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 1 0 05 Apr 2024
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving Steffen Hagedorn Marcel Milich Alexandru Paul Condurache 127 4 0 17 Mar 2024
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets Lorenzo Brigato Stavroula Mougiakakou 69 0 0 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 0 23 Feb 2024
G-RepsNet: A Fast and General Construction of Equivariant Networks for Arbitrary Matrix Groups Sourya Basu Suhas Lohit Matthew Brand 70 0 0 23 Feb 2024
Approximately Piecewise E(3) Equivariant Point Networks Matan Atzmon Jiahui Huang Francis Williams Or Litany 3DPC 64 2 0 13 Feb 2024
Social Physics Informed Diffusion Model for Crowd Simulation Hongyi Chen Jingtao Ding Yong Li Yue Wang Xiao-Ping Zhang AI4CE 76 15 0 08 Feb 2024
Deep Continuous Networks Nergis Tomen S. Pintea Jan van Gemert 149 14 0 02 Feb 2024
A Characterization Theorem for Equivariant Networks with Point-wise Activations Marco Pacini Xiaowen Dong Bruno Lepri G. Santin 70 4 0 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 5 0 26 Dec 2023
Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration J. Fu Qi Xie Deyu Meng Zongben Xu 94 8 0 25 Dec 2023
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 6 0 21 Dec 2023
Steerers: A framework for rotation equivariant keypoint descriptors Georg Bökman Johan Edstedt Michael Felsberg Fredrik Kahl LLMSV 75 12 0 04 Dec 2023
Few-shot Shape Recognition by Learning Deep Shape-aware Features Wenlong Shi Changsheng Lu Ming Shao Yinjie Zhang Si-Yu Xia Piotr Koniusz 88 2 0 03 Dec 2023