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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
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 139 414 0 11 Feb 2019
A Push-Pull Layer Improves Robustness of Convolutional Neural Networks N. Strisciuglio Manuel López-Antequera N. Petkov 13 4 0 29 Jan 2019
Equivariant Transformer Networks Kai Sheng Tai Peter Bailis Gregory Valiant ViT 104 71 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 66 49 0 31 Dec 2018
Retinal vessel segmentation based on Fully Convolutional Neural Networks Américo Oliveira Sérgio Pereira Carlos Alberto Silva MedIm 66 266 0 18 Dec 2018
Harmonic Networks: Integrating Spectral Information into CNNs Matej Ulicny V. Krylov Rozenn Dahyot 97 7 0 07 Dec 2018
Cross-Domain 3D Equivariant Image Embeddings Carlos Esteves Avneesh Sud Zhengyi Luo Kostas Daniilidis A. Makadia 3DPC 78 22 0 06 Dec 2018
Integrating Multiple Receptive Fields through Grouped Active Convolution Yunho Jeon Junmo Kim 47 3 0 11 Nov 2018
VV-Net: Voxel VAE Net with Group Convolutions for Point Cloud Segmentation Hsien-Yu Meng Lin Gao Yu-kun Lai Tianyi Zhou 3DPC DRL 68 227 0 11 Nov 2018
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 255 316 0 05 Nov 2018
DeepSymmetry : Using 3D convolutional networks for identification of tandem repeats and internal symmetries in protein structures Guillaume Pagès Sergei Grudinin 110 8 0 29 Oct 2018
Rotational 3D Texture Classification Using Group Equivariant CNNs Vincent Andrearczyk Adrien Depeursinge 76 12 0 16 Oct 2018
Monitoring spatial sustainable development: Semi-automated analysis of satellite and aerial images for energy transition and sustainability indicators R. L. Curier Tim De Jong K. Strauch Katharina Cramer Natalie Rosenski Clara Schartner M. Debusschere Hannah Ziemons Deniz Iren Stefano Bromuri 103 15 0 11 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon A. Serban E. Poll Joost Visser SILM AAML 102 49 0 02 Oct 2018
A rotation-equivariant convolutional neural network model of primary visual cortex Alexander S. Ecker Fabian H. Sinz E. Froudarakis Paul G. Fahey Santiago A. Cadena Edgar Y. Walker Erick Cobos Jacob Reimer A. Tolias Matthias Bethge 69 54 0 27 Sep 2018
3D Human Pose Estimation with Siamese Equivariant Embedding M. Véges Viktor Varga András Lőrincz 83 29 0 19 Sep 2018
ManifoldNet: A Deep Network Framework for Manifold-valued Data Rudrasis Chakraborty Jose J. Bouza J. Manton B. Vemuri 52 16 0 11 Sep 2018
Deep Learning for Generic Object Detection: A Survey Li Liu Wanli Ouyang Xiaogang Wang Paul Fieguth Jie Chen Xinwang Liu M. Pietikäinen ObjD VLM OOD 240 2,469 0 06 Sep 2018
Discriminative Learning of Similarity and Group Equivariant Representations Shubhendu Trivedi 41 1 0 30 Aug 2018
Isometric Transformation Invariant Graph-based Deep Neural Network Renata Khasanova P. Frossard 44 3 0 21 Aug 2018
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model Xiaomeng Li Lequan Yu Hao Chen Chi-Wing Fu Pheng-Ann Heng MedIm 68 136 0 12 Aug 2018
Using Machine Learning Safely in Automotive Software: An Assessment and Adaption of Software Process Requirements in ISO 26262 Rick Salay Krzysztof Czarnecki 104 70 0 05 Aug 2018
Geared Rotationally Identical and Invariant Convolutional Neural Network Systems ShihChung B. Lo Ph. D. M. Freedman M. D. S. Mun Ph. D. H. Chan Ph. D 35 4 0 03 Aug 2018
Scale equivariance in CNNs with vector fields Diego Marcos B. Kellenberger Sylvain Lobry D. Tuia 89 56 0 31 Jul 2018
Transformationally Identical and Invariant Convolutional Neural Networks by Combining Symmetric Operations or Input Vectors S. Lo M. Freedman S. Mun 62 3 0 30 Jul 2018
Explorations in Homeomorphic Variational Auto-Encoding Luca Falorsi P. D. Haan Tim R. Davidson Nicola De Cao Maurice Weiler Patrick Forré Taco S. Cohen BDL DRL 107 115 0 12 Jul 2018
DeSTNet: Densely Fused Spatial Transformer Networks R. Annunziata Christos Sagonas Jacques Calì 46 6 0 11 Jul 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data Maurice Weiler Mario Geiger Max Welling Wouter Boomsma Taco S. Cohen 3DPC 148 508 0 06 Jul 2018
Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks J. Linmans Jim Winkens Bastiaan S. Veeling Taco S. Cohen Max Welling MedIm 90 26 0 02 Jul 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network Risi Kondor Zhen Lin Shubhendu Trivedi 95 272 0 24 Jun 2018
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance Zhixin Shu M. Sahasrabudhe R. Güler Dimitris Samaras Nikos Paragios Iasonas Kokkinos CVBM 121 201 0 18 Jun 2018
Group Equivariant Capsule Networks J. E. Lenssen Matthias Fey Pascal Libuschewski 101 109 0 13 Jun 2018
Transformationally Identical and Invariant Convolutional Neural Networks through Symmetric Element Operators S. Lo M. Freedman S. Mun Shuo Gu 54 5 0 10 Jun 2018
Rotation Equivariant CNNs for Digital Pathology Bastiaan S. Veeling J. Linmans Jim Winkens Taco S. Cohen Max Welling 125 586 0 08 Jun 2018
Rotation Equivariance and Invariance in Convolutional Neural Networks Benjamin Chidester Minh Do Jian Ma 64 35 0 31 May 2018
Why do deep convolutional networks generalize so poorly to small image transformations? Aharon Azulay Yair Weiss 108 563 0 30 May 2018
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks Xiuyuan Cheng Qiang Qiu Robert Calderbank Guillermo Sapiro 58 43 0 17 May 2018
A CNN for homogneous Riemannian manifolds with applications to Neuroimaging Rudrasis Chakraborty Monami Banerjee B. Vemuri 45 10 0 14 May 2018
Learning on the Edge: Explicit Boundary Handling in CNNs Carlo Innamorati Tobias Ritschel Tim Weyrich Niloy J. Mitra 50 21 0 08 May 2018
CubeNet: Equivariance to 3D Rotation and Translation Daniel E. Worrall Gabriel J. Brostow 3DPC 96 143 0 12 Apr 2018
3D G-CNNs for Pulmonary Nodule Detection M. Winkels Taco S. Cohen MedIm 3DPC 82 107 0 12 Apr 2018
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis Erik J. Bekkers Maxime W. Lafarge M. Veta K. Eppenhof J. Pluim R. Duits MedIm 82 174 0 10 Apr 2018
Intertwiners between Induced Representations (with Applications to the Theory of Equivariant Neural Networks) Taco S. Cohen Mario Geiger Maurice Weiler 74 47 0 28 Mar 2018
What Do We Understand About Convolutional Networks? Isma Hadji Richard P. Wildes FAtt 66 99 0 23 Mar 2018
Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models Diego Marcos Michele Volpi B. Kellenberger D. Tuia 125 237 0 16 Mar 2018
HexaConv Emiel Hoogeboom Jorn W. T. Peters Taco S. Cohen Max Welling 83 58 0 06 Mar 2018
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds Nathaniel Thomas Tess E. Smidt S. Kearnes Lusann Yang Li Li Kai Kohlhoff Patrick F. Riley 3DPC 152 980 0 22 Feb 2018
Robustness of Rotation-Equivariant Networks to Adversarial Perturbations Beranger Dumont Simona Maggio Pablo Montalvo AAML 69 24 0 19 Feb 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups Risi Kondor Shubhendu Trivedi MLT 174 500 0 11 Feb 2018
Spherical CNNs Taco S. Cohen Mario Geiger Jonas Köhler Max Welling 190 908 0 30 Jan 2018