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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Learning (Approximately) Equivariant Networks via Constrained Optimization Andrei Manolache Luiz F.O. Chamon Mathias Niepert 4 0 0 19 May 2025
Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Fuyao Chen Yuexi Du Tal Zeevi Nicha Dvornek John Onofrey 28 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 53 0 0 03 Apr 2025
On Symmetries in Convolutional Weights B. Alsallakh Timothy Wroge Vivek Miglani Narine Kokhlikyan 58 0 0 24 Mar 2025
Permutation Equivariant Neural Networks for Symmetric Tensors Edward Pearce-Crump 53 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 60 0 0 14 Mar 2025
Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion Vinh Tong Trung-Dung Hoang Anji Liu Guy Van den Broeck Mathias Niepert DiffM 84 0 0 14 Feb 2025
SRE-Conv: Symmetric Rotation Equivariant Convolution for Biomedical Image Classification Yuexi Du Jiazhen Zhang Tal Zeevi Nicha Dvornek J. Onofrey 61 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 Zihan Wang KELM 51 1 0 03 Jan 2025
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory Andrea Perin Stéphane Deny 95 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 70 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 35 0 0 11 Nov 2024
Harmformer: Harmonic Networks Meet Transformers for Continuous Roto-Translation Equivariance Tomáš Karella Adam Harmanec J. Kotera Jan Blažek F. Šroubek 50 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 37 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 67 0 0 03 Nov 2024
Unsupervised Representation Learning from Sparse Transformation Analysis Yue Song Thomas Anderson Keller Yisong Yue Pietro Perona Max Welling DRL 36 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 23 0 0 24 Sep 2024
Adaptive Sampling for Continuous Group Equivariant Neural Networks Berfin Inal Gabriele Cesa 35 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 27 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 50 3 0 10 Sep 2024
EqNIO: Subequivariant Neural Inertial Odometry Royina Karegoudra Jayanth Yinshuang Xu Ziyun Wang Evangelos Chatzipantazis Daniel Gehrig Kostas Daniilidis 48 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 52 1 0 17 Jul 2024
Understanding the Role of Invariance in Transfer Learning Till Speicher Vedant Nanda Krishna P. Gummadi SSL OOD 48 1 0 05 Jul 2024
Learning Color Equivariant Representations Felix O'Mahony Yulong Yang Christine Allen-Blanchette 28 1 0 13 Jun 2024
A novel approach to graph distinction through GENEOs and permutants Giovanni Bocchi Massimo Ferri Patrizio Frosini 33 2 0 12 Jun 2024
CoNO: Complex Neural Operator for Continous Dynamical Physical Systems Karn Tiwari N. M. A. Krishnan P. PrathoshA 35 0 0 01 Jun 2024
Flexible SE(2) graph neural networks with applications to PDE surrogates Maria Bånkestad Olof Mogren Aleksis Pirinen 59 1 0 30 May 2024
Neural Isometries: Taming Transformations for Equivariant ML Thomas W. Mitchel Michael Taylor Vincent Sitzmann 30 1 0 29 May 2024
Steerable Transformers Soumyabrata Kundu Risi Kondor ViT LLMSV 42 1 0 24 May 2024
Graph as Point Set Xiyuan Wang Pan Li Muhan Zhang GNN 3DPC PINN 44 4 0 05 May 2024
Multi-view Action Recognition via Directed Gromov-Wasserstein Discrepancy Hoang-Quan Nguyen Thanh-Dat Truong Khoa Luu 34 1 0 02 May 2024
Achieving Rotation Invariance in Convolution Operations: Shifting from Data-Driven to Mechanism-Assured Hanlin Mo Guoying Zhao OOD 43 0 0 17 Apr 2024
Equivariant graph convolutional neural networks for the representation of homogenized anisotropic microstructural mechanical response Ravi G. Patel C. Safta Reese E. Jones AI4CE 43 1 0 05 Apr 2024
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving Steffen Hagedorn Marcel Milich A. P. Condurache 50 4 0 17 Mar 2024
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets Lorenzo Brigato Stavroula Mougiakakou 45 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 39 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 42 0 0 23 Feb 2024
Approximately Piecewise E(3) Equivariant Point Networks Matan Atzmon Jiahui Huang Francis Williams Or Litany 3DPC 34 1 0 13 Feb 2024
Social Physics Informed Diffusion Model for Crowd Simulation Hongyi Chen Jingtao Ding Yong Li Yue Wang Xiao-Ping Zhang AI4CE 41 13 0 08 Feb 2024
Deep Continuous Networks Nergis Tomen S. Pintea Jan van Gemert 94 14 0 02 Feb 2024
A Characterization Theorem for Equivariant Networks with Point-wise Activations Marco Pacini Xiaowen Dong Bruno Lepri G. Santin 44 2 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 43 0 0 26 Dec 2023
Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration J. Fu Qi Xie Deyu Meng Zongben Xu 21 4 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 25 6 0 21 Dec 2023
Steerers: A framework for rotation equivariant keypoint descriptors Georg Bökman Johan Edstedt Michael Felsberg Fredrik Kahl LLMSV 31 10 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 56 2 0 03 Dec 2023
A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks Roy T. Forestano Marçal Comajoan Cara Gopal Ramesh Dahale Zhongtian Dong S. Gleyzer ... Kyoungchul Kong Tom Magorsch Konstantin T. Matchev Katia Matcheva Eyup B. Unlu GNN 37 8 0 30 Nov 2023
H-Packer: Holographic Rotationally Equivariant Convolutional Neural Network for Protein Side-Chain Packing Gian Marco Visani William Galvin Michael N. Pun Armita Nourmohammad 30 6 0 15 Nov 2023
Efficient Rotation Invariance in Deep Neural Networks through Artificial Mental Rotation Lukas Tuggener Thilo Stadelmann Jürgen Schmidhuber OOD 21 1 0 14 Nov 2023
Affine Invariance in Continuous-Domain Convolutional Neural Networks A. Mohaddes Johannes Lederer 23 1 0 13 Nov 2023