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
Cross-Domain 3D Equivariant Image Embeddings Carlos Esteves Avneesh Sud Zhengyi Luo Kostas Daniilidis A. Makadia 3DPC 31 22 0 06 Dec 2018
Integrating Multiple Receptive Fields through Grouped Active Convolution Yunho Jeon Junmo Kim 19 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 27 223 0 11 Nov 2018
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 165 308 0 05 Nov 2018
DeepSymmetry : Using 3D convolutional networks for identification of tandem repeats and internal symmetries in protein structures Guillaume Pagès Sergei Grudinin 27 8 0 29 Oct 2018
Rotational 3D Texture Classification Using Group Equivariant CNNs Vincent Andrearczyk Adrien Depeursinge 15 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 17 15 0 11 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon A. Serban E. Poll Joost Visser SILM AAML 30 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 16 53 0 27 Sep 2018
3D Human Pose Estimation with Siamese Equivariant Embedding M. Véges Viktor Varga András Lőrincz 27 29 0 19 Sep 2018
ManifoldNet: A Deep Network Framework for Manifold-valued Data Rudrasis Chakraborty Jose J. Bouza J. Manton B. Vemuri 24 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 74 2,420 0 06 Sep 2018
Discriminative Learning of Similarity and Group Equivariant Representations Shubhendu Trivedi 27 1 0 30 Aug 2018
Isometric Transformation Invariant Graph-based Deep Neural Network Renata Khasanova P. Frossard 33 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 17 133 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 25 69 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 16 4 0 03 Aug 2018
Scale equivariance in CNNs with vector fields Diego Marcos B. Kellenberger Sylvain Lobry D. Tuia 23 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 10 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 30 116 0 12 Jul 2018
DeSTNet: Densely Fused Spatial Transformer Networks R. Annunziata Christos Sagonas Jacques Calì 17 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 45 494 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 30 24 0 02 Jul 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network Risi Kondor Zhen Lin Shubhendu Trivedi 54 264 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 22 199 0 18 Jun 2018
Group Equivariant Capsule Networks J. E. Lenssen Matthias Fey Pascal Libuschewski 14 109 0 13 Jun 2018
Transformationally Identical and Invariant Convolutional Neural Networks through Symmetric Element Operators S. Lo M. Freedman S. Mun Shuo Gu 13 5 0 10 Jun 2018
Rotation Equivariant CNNs for Digital Pathology Bastiaan S. Veeling J. Linmans Jim Winkens Taco S. Cohen Max Welling 22 564 0 08 Jun 2018
Rotation Equivariance and Invariance in Convolutional Neural Networks Benjamin Chidester Minh Do Jian Ma 18 35 0 31 May 2018
Why do deep convolutional networks generalize so poorly to small image transformations? Aharon Azulay Yair Weiss 37 557 0 30 May 2018
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks Xiuyuan Cheng Qiang Qiu Robert Calderbank Guillermo Sapiro 30 43 0 17 May 2018
A CNN for homogneous Riemannian manifolds with applications to Neuroimaging Rudrasis Chakraborty Monami Banerjee B. Vemuri 21 9 0 14 May 2018
Learning on the Edge: Explicit Boundary Handling in CNNs Carlo Innamorati Tobias Ritschel Tim Weyrich Niloy J. Mitra 19 20 0 08 May 2018
CubeNet: Equivariance to 3D Rotation and Translation Daniel E. Worrall Gabriel J. Brostow 3DPC 26 141 0 12 Apr 2018
3D G-CNNs for Pulmonary Nodule Detection M. Winkels Taco S. Cohen MedIm 3DPC 33 107 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 17 170 0 10 Apr 2018
Intertwiners between Induced Representations (with Applications to the Theory of Equivariant Neural Networks) Taco S. Cohen Mario Geiger Maurice Weiler 41 46 0 28 Mar 2018
What Do We Understand About Convolutional Networks? Isma Hadji Richard P. Wildes FAtt 19 98 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 25 235 0 16 Mar 2018
HexaConv Emiel Hoogeboom Jorn W. T. Peters Taco S. Cohen Max Welling 12 56 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 44 942 0 22 Feb 2018
Robustness of Rotation-Equivariant Networks to Adversarial Perturbations Beranger Dumont Simona Maggio Pablo Montalvo AAML 13 23 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 62 487 0 11 Feb 2018
Spherical CNNs Taco S. Cohen Mario Geiger Jonas Köhler Max Welling 42 892 0 30 Jan 2018
Non-Parametric Transformation Networks Dipan K. Pal Marios Savvides 8 7 0 14 Jan 2018
Covariant Compositional Networks For Learning Graphs Risi Kondor H. Son Horace Pan Brandon M. Anderson Shubhendu Trivedi GNN 33 165 0 07 Jan 2018
Towards dense object tracking in a 2D honeybee hive Katarzyna Bozek Laetitia Hebert A. Mikheyev G. Stephens VOT 32 47 0 22 Dec 2017
Learning Steerable Filters for Rotation Equivariant CNNs Maurice Weiler Fred Hamprecht M. Storath 16 381 0 20 Nov 2017
Learning SO(3) Equivariant Representations with Spherical CNNs Carlos Esteves Christine Allen-Blanchette A. Makadia Kostas Daniilidis 65 509 0 17 Nov 2017
Interpretable Transformations with Encoder-Decoder Networks Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel J. Brostow DRL 14 101 0 19 Oct 2017