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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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Title
REST: Performance Improvement of a Black Box Model via RL-based Spatial Transformation Jae Myung Kim Hyungjin Kim Chanwoo Park Jungwook Lee OOD 34 0 0 16 Feb 2020
Recurrent Attention Model with Log-Polar Mapping is Robust against Adversarial Attacks Taro Kiritani Koji Ono AAML 36 3 0 13 Feb 2020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang Robin Walters Rose Yu AI4CE 149 177 0 08 Feb 2020
Universal Equivariant Multilayer Perceptrons Siamak Ravanbakhsh 164 51 0 07 Feb 2020
Attentive Group Equivariant Convolutional Networks David W. Romero Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 115 91 0 07 Feb 2020
PDE-based Group Equivariant Convolutional Neural Networks B. Smets J. Portegies Erik J. Bekkers R. Duits AI4CE 105 54 0 24 Jan 2020
Harmonic Convolutional Networks based on Discrete Cosine Transform Matej Ulicny V. Krylov Rozenn Dahyot 56 36 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 76 64 0 09 Jan 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds Yongheng Zhao Tolga Birdal J. E. Lenssen Emanuele Menegatti Leonidas Guibas Federico Tombari 3DPC 148 89 0 27 Dec 2019
Naive Gabor Networks for Hyperspectral Image Classification Chenying Liu Jun Li Lin He Antonio J. Plaza Shutao Li Bo Li 75 45 0 09 Dec 2019
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance Sameera Ramasinghe Salman Khan Nick Barnes Stephen Gould 64 8 0 30 Nov 2019
Motion Equivariance OF Event-based Camera Data with the Temporal Normalization Transform ZiYun Wang 41 0 0 28 Nov 2019
General $E(2)$ -Equivariant Steerable CNNs Maurice Weiler Gabriele Cesa 126 526 0 19 Nov 2019
Affine Self Convolution Nichita Diaconu Daniel E. Worrall 35 3 0 18 Nov 2019
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data David W. Romero Mark Hoogendoorn 68 24 0 18 Nov 2019
RotationOut as a Regularization Method for Neural Network Kaiqin Hu Barnabás Póczós 45 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 80 96 0 14 Nov 2019
Learning Non-Parametric Invariances from Data with Permanent Random Connectomes Dipan K. Pal Akshay Chawla Marios Savvides 43 1 0 13 Nov 2019
Chirality Nets for Human Pose Regression Raymond A. Yeh Yuan-Ting Hu Alex Schwing 3DH 66 50 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 Zorah Lähner 3DH 3DPC 95 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 59 8 0 18 Oct 2019
Scale-Equivariant Steerable Networks Li Xiao Michal Szmaja A. Smeulders 129 149 0 14 Oct 2019
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation Hang Gao Xizhou Zhu Steve Lin Jifeng Dai 130 65 0 07 Oct 2019
B-Spline CNNs on Lie Groups Erik J. Bekkers AI4CE 103 131 0 26 Sep 2019
Towards Learning Affine-Invariant Representations via Data-Efficient CNNs Xenju Xu Guanghui Wang Alan Sullivan Ziming Zhang 65 23 0 31 Aug 2019
LiDARTag: A Real-Time Fiducial Tag System for Point Clouds Jiunn-Kai Huang R. Hartley Lu Gan J. Grizzle 76 6 0 23 Aug 2019
Unsupervised Learning Framework of Interest Point Via Properties Optimization Pei Yan Yihua Tan Yuan Xiao Yuan Tai Caizhen Wen 42 2 0 26 Jul 2019
A Group-Theoretic Framework for Data Augmentation Shuxiao Chen Edgar Dobriban Jane Lee FedML 80 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 132 342 0 19 Jul 2019
Learning Complex Basis Functions for Invariant Representations of Audio Stefan Lattner M. Dörfler A. Arzt 54 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 133 42 0 26 Jun 2019
SurReal: Fréchet Mean and Distance Transform for Complex-Valued Deep Learning Rudrasis Chakraborty Jiayun Wang Stella X. Yu 42 15 0 24 Jun 2019
Scale Steerable Filters for Locally Scale-Invariant Convolutional Neural Networks Rohan Ghosh A. Gupta 60 45 0 10 Jun 2019
A Closed-Form Learned Pooling for Deep Classification Networks Vighnesh Birodkar H. Mobahi Dilip Krishnan Samy Bengio 39 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 111 18 0 06 Jun 2019
Invariant Feature Coding using Tensor Product Representation Yusuke Mukuta Tatsuya Harada 54 0 0 05 Jun 2019
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade T. Lindeberg 80 19 0 29 May 2019
Deep Scale-spaces: Equivariance Over Scale Daniel E. Worrall Max Welling BDL 80 167 0 28 May 2019
Learning to Convolve: A Generalized Weight-Tying Approach Nichita Diaconu Daniel E. Worrall MLT 66 20 0 12 May 2019
Harmonic Networks with Limited Training Samples Matej Ulicny V. Krylov Rozenn Dahyot 85 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 67 41 0 26 Apr 2019
Making Convolutional Networks Shift-Invariant Again Richard Y. Zhang OOD 105 799 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 67 75 0 01 Apr 2019
Equivariant Multi-View Networks Carlos Esteves Yinshuang Xu Christine Allen-Blanchette Kostas Daniilidis 3DPC 84 99 0 01 Apr 2019
Discrete Rotation Equivariance for Point Cloud Recognition Jiaxin Li Yingcai Bi Gim Hee Lee 3DPC 89 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 157 654 0 29 Mar 2019
Equivariant Entity-Relationship Networks Devon R. Graham Junhao Wang Siamak Ravanbakhsh 62 8 0 21 Mar 2019
A Learnable ScatterNet: Locally Invariant Convolutional Layers Fergal Cotter N. Kingsbury 54 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 92 393 0 28 Feb 2019
Motion Equivariant Networks for Event Cameras with the Temporal Normalization Transform A. Z. Zhu Ziyun Wang Kostas Daniilidis ViT 3DPC 52 7 0 18 Feb 2019