Steerable CNNs

27 December 2016

Papers citing "Steerable CNNs"

50 / 143 papers shown

Title
BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework Dian Wang Colin Kohler Xu Zhu Ming Jia Robert W. Platt 29 9 0 28 May 2022
Self-Supervised Equivariant Learning for Oriented Keypoint Detection Jongmin Lee Byung-soo Kim Minsu Cho 3DPC 37 35 0 19 Apr 2022
Shape-Pose Disentanglement using SE(3)-equivariant Vector Neurons Oren Katzir Dani Lischinski Daniel Cohen-Or 3DPC 40 14 0 03 Apr 2022
Dimensionless machine learning: Imposing exact units equivariance Soledad Villar Weichi Yao D. Hogg Ben Blum-Smith Bianca Dumitrascu 23 26 0 02 Apr 2022
3D Equivariant Graph Implicit Functions Yunlu Chen Basura Fernando Hakan Bilen Matthias Nießner E. Gavves 3DPC 27 23 0 31 Mar 2022
Reflection and Rotation Symmetry Detection via Equivariant Learning Ahyun Seo Byungjin Kim Suha Kwak Minsu Cho 32 15 0 31 Mar 2022
Symmetry Group Equivariant Architectures for Physics A. Bogatskiy S. Ganguly Thomas Kipf Risi Kondor David W. Miller ... Jan T. Offermann M. Pettee P. Shanahan C. Shimmin S. Thais AI4CE 27 27 0 11 Mar 2022
ReF -- Rotation Equivariant Features for Local Feature Matching Abhishek Peri K. Mehta Avneesh Mishra Michael Milford Sourav Garg K. M. Krishna 27 5 0 10 Mar 2022
On-Robot Learning With Equivariant Models Dian Wang Ming Jia Xu Zhu Robin Walters Robert W. Platt OffRL SSL 30 36 0 09 Mar 2022
$$\mathrm{SO}(2)$-Equivariant Reinforcement Learning$ $\mathrm{SO}(2)$ -Equivariant Reinforcement Learning Dian Wang Robin Walters Robert W. Platt 30 78 0 08 Mar 2022
RRL:Regional Rotation Layer in Convolutional Neural Networks Zongbo Hao Tao Zhang MingWang Chen Kaixuan Zhou 21 2 0 25 Feb 2022
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks Y. Yasuda R. Onishi 27 6 0 22 Feb 2022
Equivariant Transporter Network Hao-zhe Huang Dian Wang Robin Walters Robert W. Platt 76 53 0 18 Feb 2022
Unsupervised Learning of Group Invariant and Equivariant Representations R. Winter Marco Bertolini Tuan Le Frank Noé Djork-Arné Clevert 36 41 0 15 Feb 2022
Frame Averaging for Equivariant Shape Space Learning Matan Atzmon Koki Nagano Sanja Fidler S. Khamis Y. Lipman FedML 38 13 0 03 Dec 2021
Implicit Equivariance in Convolutional Networks Naman Khetan Tushar Arora S. U. Rehman D. K. Gupta 31 4 0 28 Nov 2021
Deformation Robust Roto-Scale-Translation Equivariant CNNs Liyao (Mars) Gao Guang Lin Wei-wei Zhu 27 8 0 22 Nov 2021
Enabling equivariance for arbitrary Lie groups L. MacDonald Sameera Ramasinghe Simon Lucey AAML 27 25 0 16 Nov 2021
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking O. Ganea Xinyuan Huang Charlotte Bunne Yatao Bian Regina Barzilay Tommi Jaakkola Andreas Krause 36 152 0 15 Nov 2021
Equivariant $Q$ Learning in Spatial Action Spaces Dian Wang Robin Walters Xu Zhu Robert W. Platt 27 73 0 28 Oct 2021
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems Miltiadis Kofinas N. S. Nagaraja E. Gavves AI4CE 21 32 0 28 Oct 2021
Rotation Equivariant Deforestation Segmentation and Driver Classification Joshua Mitton Roderick Murray-Smith 19 7 0 25 Oct 2021
Multi-Agent MDP Homomorphic Networks Elise van der Pol H. V. Hoof F. Oliehoek Max Welling AI4CE 46 28 0 09 Oct 2021
Geometric and Physical Quantities Improve E(3) Equivariant Message Passing Johannes Brandstetter Rob D. Hesselink Elise van der Pol Erik J. Bekkers Max Welling 44 231 0 06 Oct 2021
Nonlinearities in Steerable SO(2)-Equivariant CNNs Daniel Franzen Michael Wand 38 3 0 14 Sep 2021
Topographic VAEs learn Equivariant Capsules Thomas Anderson Keller Max Welling BDL 46 38 0 03 Sep 2021
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors Haiping Wang Yuan Liu Zhen Dong Wenping Wang 3DPC 41 124 0 01 Sep 2021
Terabyte-scale supervised 3D training and benchmarking dataset of the mouse kidney W. Kuo D. Rossinelli G. Schulz R. Wenger S. Hieber B. Müller V. Kurtcuoglu 21 8 0 04 Aug 2021
Circular-Symmetric Correlation Layer based on FFT Bahar Azari Deniz Erdogmus 36 1 0 26 Jul 2021
Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations Minghan Zhu Maani Ghaffari H. Peng 3DPC 37 36 0 21 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 46 65 0 02 Jul 2021
Steerable Partial Differential Operators for Equivariant Neural Networks Erik Jenner Maurice Weiler 25 28 0 18 Jun 2021
Equivariant Networks for Pixelized Spheres Mehran Shakerinava Siamak Ravanbakhsh 3DPC 31 19 0 12 Jun 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 13 23 0 11 Jun 2021
DISCO: accurate Discrete Scale Convolutions Ivan Sosnovik A. Moskalev A. Smeulders 26 31 0 04 Jun 2021
Rotation Equivariant Feature Image Pyramid Network for Object Detection in Optical Remote Sensing Imagery Pourya Shamsolmoali Masoumeh Zareapoor Jocelyn Chanussot Huiyu Zhou Jie Yang ObjD 19 35 0 02 Jun 2021
E(n) Equivariant Normalizing Flows Victor Garcia Satorras Emiel Hoogeboom F. Fuchs Ingmar Posner Max Welling BDL 37 170 0 19 May 2021
Protein sequence-to-structure learning: Is this the end(-to-end revolution)? É. Laine Stephan Eismann A. Elofsson Sergei Grudinin OOD 3DV 23 34 0 16 May 2021
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms A. Saydjari D. Finkbeiner 33 20 0 22 Apr 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 79 186 0 19 Apr 2021
Equivariant Point Network for 3D Point Cloud Analysis Haiwei Chen Shichen Liu Weikai Chen Hao Li 3DPC 19 99 0 25 Mar 2021
Autobahn: Automorphism-based Graph Neural Nets Erik H. Thiede Wenda Zhou Risi Kondor GNN AI4CE 26 48 0 02 Mar 2021
E(n) Equivariant Graph Neural Networks Victor Garcia Satorras Emiel Hoogeboom Max Welling 35 980 0 19 Feb 2021
LieTransformer: Equivariant self-attention for Lie Groups M. Hutchinson Charline Le Lan Sheheryar Zaidi Emilien Dupont Yee Whye Teh Hyunjik Kim 31 111 0 20 Dec 2020
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes P. Holderrieth M. Hutchinson Yee Whye Teh BDL 38 30 0 25 Nov 2020
Trajectory Prediction using Equivariant Continuous Convolution Robin Walters Jinxi Li Rose Yu 26 43 0 21 Oct 2020
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels Leon Lang Maurice Weiler 35 53 0 21 Oct 2020
Probabilistic Numeric Convolutional Neural Networks Marc Finzi Roberto Bondesan Max Welling BDL AI4TS 31 13 0 21 Oct 2020
PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions Zhengyang Shen Lingshen He Zhouchen Lin Jinwen Ma 11 44 0 20 Jul 2020
Group Equivariant Deep Reinforcement Learning Arnab Kumar Mondal Pratheeksha Nair Kaleem Siddiqi 19 31 0 01 Jul 2020