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
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 37 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 36 0 0 28 Nov 2019
General $E(2)$ -Equivariant Steerable CNNs Maurice Weiler Gabriele Cesa 45 503 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 23 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 16 94 0 14 Nov 2019
Learning Non-Parametric Invariances from Data with Permanent Random Connectomes Dipan K. Pal Akshay Chawla Marios Savvides 16 1 0 13 Nov 2019
Chirality Nets for Human Pose Regression Raymond A. Yeh Yuan-Ting Hu A. Schwing 3DH 16 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 24 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 35 129 0 26 Sep 2019
Towards Learning Affine-Invariant Representations via Data-Efficient CNNs Xenju Xu Guanghui Wang Alan Sullivan Ziming Zhang 30 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 19 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 14 45 0 10 Jun 2019
A Closed-Form Learned Pooling for Deep Classification Networks Vighnesh Birodkar H. Mobahi Dilip Krishnan Samy Bengio 23 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 15 166 0 28 May 2019
Learning to Convolve: A Generalized Weight-Tying Approach Nichita Diaconu Daniel E. Worrall MLT 30 20 0 12 May 2019
Harmonic Networks with Limited Training Samples Matej Ulicny V. Krylov Rozenn Dahyot 16 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 30 40 0 26 Apr 2019
Making Convolutional Networks Shift-Invariant Again Richard Y. Zhang OOD 19 788 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 11 98 0 01 Apr 2019
Discrete Rotation Equivariance for Point Cloud Recognition Jiaxin Li Yingcai Bi Gim Hee Lee 3DPC 27 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 34 626 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 17 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 19 377 0 28 Feb 2019
Motion Equivariant Networks for Event Cameras with the Temporal Normalization Transform A. Z. Zhu Ziyun Wang Kostas Daniilidis ViT 3DPC 20 7 0 18 Feb 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 61 402 0 11 Feb 2019
A Push-Pull Layer Improves Robustness of Convolutional Neural Networks N. Strisciuglio Manuel López-Antequera N. Petkov 6 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 17 47 0 31 Dec 2018
Retinal vessel segmentation based on Fully Convolutional Neural Networks Américo Oliveira Sérgio Pereira Carlos Alberto Silva MedIm 11 262 0 18 Dec 2018
Harmonic Networks: Integrating Spectral Information into CNNs Matej Ulicny V. Krylov Rozenn Dahyot 23 7 0 07 Dec 2018