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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Title
Attentive Group Equivariant Convolutional Networks David W. Romero Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 22 91 0 07 Feb 2020
PDE-based Group Equivariant Convolutional Neural Networks B. Smets J. Portegies Erik J. Bekkers R. Duits AI4CE 21 53 0 24 Jan 2020
Harmonic Convolutional Networks based on Discrete Cosine Transform Matej Ulicny V. Krylov Rozenn Dahyot 27 34 0 18 Jan 2020
RSL-Net: Localising in Satellite Images From a Radar on the Ground T. Y. Tang Daniele De Martini Dan Barnes Paul Newman 17 64 0 09 Jan 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds Yongheng Zhao Tolga Birdal J. E. Lenssen Emanuele Menegatti Leonidas J. Guibas Federico Tombari 3DPC 26 88 0 27 Dec 2019
Naive Gabor Networks for Hyperspectral Image Classification Chenying Liu Jun Li Lin He Antonio J. Plaza Shutao Li Bo Li 39 45 0 09 Dec 2019
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance Sameera Ramasinghe Salman Khan Nick Barnes Stephen Gould 16 8 0 30 Nov 2019
Motion Equivariance OF Event-based Camera Data with the Temporal Normalization Transform ZiYun Wang 39 0 0 28 Nov 2019
General $E(2)$ -Equivariant Steerable CNNs Maurice Weiler Gabriele Cesa 45 506 0 19 Nov 2019
Affine Self Convolution Nichita Diaconu Daniel E. Worrall 18 3 0 18 Nov 2019
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data David W. Romero Mark Hoogendoorn 29 24 0 18 Nov 2019
RotationOut as a Regularization Method for Neural Network Kaiqin Hu Barnabás Póczós 39 1 0 18 Nov 2019
GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs Yuan Liu Zehong Shen Zhixuan Lin Sida Peng Hujun Bao Xiaowei Zhou 24 94 0 14 Nov 2019
Learning Non-Parametric Invariances from Data with Permanent Random Connectomes Dipan K. Pal Akshay Chawla Marios Savvides 21 1 0 13 Nov 2019
Chirality Nets for Human Pose Regression Raymond A. Yeh Yuan-Ting Hu Alex Schwing 3DH 22 48 0 31 Oct 2019
Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods Luca Della Libera Vladimir Golkov Yue Zhu Arman Mielke Daniel Cremers 3DH 3DPC 25 4 0 31 Oct 2019
SurReal: Complex-Valued Learning as Principled Transformations on a Scaling and Rotation Manifold Rudrasis Chakraborty Yifei Xing Stella X. Yu 27 8 0 18 Oct 2019
Scale-Equivariant Steerable Networks Li Xiao Michal Szmaja A. Smeulders 16 149 0 14 Oct 2019
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation Hang Gao Xizhou Zhu Steve Lin Jifeng Dai 21 64 0 07 Oct 2019
B-Spline CNNs on Lie Groups Erik J. Bekkers AI4CE 40 129 0 26 Sep 2019
Towards Learning Affine-Invariant Representations via Data-Efficient CNNs Xenju Xu Guanghui Wang Alan Sullivan Ziming Zhang 33 23 0 31 Aug 2019
LiDARTag: A Real-Time Fiducial Tag System for Point Clouds Jiunn-Kai Huang R. Hartley Lu Gan J. Grizzle 29 6 0 23 Aug 2019
Unsupervised Learning Framework of Interest Point Via Properties Optimization Pei Yan Yihua Tan Yuan Xiao Yuan Tai Caizhen Wen 30 2 0 26 Jul 2019
A Group-Theoretic Framework for Data Augmentation Shuxiao Chen Edgar Dobriban Jane Lee FedML 28 38 0 25 Jul 2019
Interaction-and-Aggregation Network for Person Re-identification Rui Hou Bingpeng Ma Hong Chang Xinqian Gu Shiguang Shan Xilin Chen 3DPC 45 340 0 19 Jul 2019
Learning Complex Basis Functions for Invariant Representations of Audio Stefan Lattner M. Dörfler A. Arzt 30 13 0 13 Jul 2019
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness Fanny Yang Zuowen Wang C. Heinze-Deml 28 42 0 26 Jun 2019
SurReal: Fréchet Mean and Distance Transform for Complex-Valued Deep Learning Rudrasis Chakraborty Jiayun Wang Stella X. Yu 19 15 0 24 Jun 2019
Scale Steerable Filters for Locally Scale-Invariant Convolutional Neural Networks Rohan Ghosh A. Gupta 22 45 0 10 Jun 2019
A Closed-Form Learned Pooling for Deep Classification Networks Vighnesh Birodkar H. Mobahi Dilip Krishnan Samy Bengio 31 0 0 10 Jun 2019
Covariance in Physics and Convolutional Neural Networks Miranda C. N. Cheng V. Anagiannis Maurice Weiler P. D. Haan Taco S. Cohen Max Welling 51 18 0 06 Jun 2019
Invariant Feature Coding using Tensor Product Representation Yusuke Mukuta Tatsuya Harada 24 0 0 05 Jun 2019
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade T. Lindeberg 27 19 0 29 May 2019
Deep Scale-spaces: Equivariance Over Scale Daniel E. Worrall Max Welling BDL 24 166 0 28 May 2019
Learning to Convolve: A Generalized Weight-Tying Approach Nichita Diaconu Daniel E. Worrall MLT 33 20 0 12 May 2019
Harmonic Networks with Limited Training Samples Matej Ulicny V. Krylov Rozenn Dahyot 30 17 0 30 Apr 2019
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 3DH DRL 3DV 35 40 0 26 Apr 2019
Making Convolutional Networks Shift-Invariant Again Richard Y. Zhang OOD 45 789 0 25 Apr 2019
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 27 74 0 01 Apr 2019
Equivariant Multi-View Networks Carlos Esteves Yinshuang Xu Christine Allen-Blanchette Kostas Daniilidis 3DPC 19 98 0 01 Apr 2019
Discrete Rotation Equivariance for Point Cloud Recognition Jiaxin Li Yingcai Bi Gim Hee Lee 3DPC 30 24 0 31 Mar 2019
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 39 626 0 29 Mar 2019
Equivariant Entity-Relationship Networks Devon R. Graham Junhao Wang Siamak Ravanbakhsh 16 8 0 21 Mar 2019
A Learnable ScatterNet: Locally Invariant Convolutional Layers Fergal Cotter N. Kingsbury 23 22 0 07 Mar 2019
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 26 379 0 28 Feb 2019
Motion Equivariant Networks for Event Cameras with the Temporal Normalization Transform A. Z. Zhu Ziyun Wang Kostas Daniilidis ViT 3DPC 28 7 0 18 Feb 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 61 404 0 11 Feb 2019
A Push-Pull Layer Improves Robustness of Convolutional Neural Networks N. Strisciuglio Manuel López-Antequera N. Petkov 11 4 0 29 Jan 2019
Equivariant Transformer Networks Kai Sheng Tai Peter Bailis Gregory Valiant ViT 19 69 0 25 Jan 2019
Towards a topological-geometrical theory of group equivariant non-expansive operators for data analysis and machine learning M. Bergomi Patrizio Frosini D. Giorgi Nicola Quercioli AI4CE 27 48 0 31 Dec 2018