Spherical CNNs

30 January 2018

Papers citing "Spherical CNNs"

50 / 178 papers shown

Title
Equivariant Networks for Crystal Structures Sekouba Kaba Siamak Ravanbakhsh AI4CE 39 23 0 15 Nov 2022
Robustcaps: a transformation-robust capsule network for image classification Saindhavi Venkataraman S. Balasubramanian R. R. Sarma 13 2 0 20 Oct 2022
Interpolated SelectionConv for Spherical Images and Surfaces David Hart Michael Whitney B. Morse 3DH 18 2 0 18 Oct 2022
A tradeoff between universality of equivariant models and learnability of symmetries Vasco Portilheiro 25 2 0 17 Oct 2022
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels Nicholas Roberts Xintong Li Tzu-Heng Huang Dyah Adila Spencer Schoenberg Chengao Liu Lauren Pick Haotian Ma Aws Albarghouthi Frederic Sala UQCV 22 7 0 30 Aug 2022
SphereDepth: Panorama Depth Estimation from Spherical Domain Q. Yan Qiang-qiang Wang Kaiyong Zhao Bo Li X. Chu F. Deng MDE 23 2 0 29 Aug 2022
Neural Contourlet Network for Monocular 360 Depth Estimation Zhijie Shen Chunyu Lin Lang Nie K. Liao Yao Zhao MDE 47 10 0 03 Aug 2022
e3nn: Euclidean Neural Networks Mario Geiger Tess E. Smidt 35 173 0 18 Jul 2022
$Image to Icosahedral Projection for $\mathrm{SO}(3)$ Object Reasoning from Single-View Images$ Image to Icosahedral Projection for $\mathrm{SO}(3)$ Object Reasoning from Single-View Images David M. Klee Ondrej Biza Robert W. Platt Robin G. Walters 18 4 0 18 Jul 2022
On the Strong Correlation Between Model Invariance and Generalization Weijian Deng Stephen Gould Liang Zheng OOD 32 16 0 14 Jul 2022
Equivariant Representation Learning via Class-Pose Decomposition G. Marchetti Gustaf Tegnér Anastasiia Varava Danica Kragic DRL 29 14 0 07 Jul 2022
SphereVLAD++: Attention-based and Signal-enhanced Viewpoint Invariant Descriptor Shiqi Zhao Peng Yin Ge Yi S. Scherer 14 19 0 06 Jul 2022
How can spherical CNNs benefit ML-based diffusion MRI parameter estimation? Tobias Goodwin-Allcock Jason D. McEwen Robert J. Gray P. Nachev Hui Zhang DiffM MedIm 17 9 0 01 Jul 2022
Integrating Symmetry into Differentiable Planning with Steerable Convolutions Linfeng Zhao Xu Zhu Lingzhi Kong Robin G. Walters Lawson L. S. Wong 20 7 0 08 Jun 2022
Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior James A. D. Gardner Bernhard Egger W. Smith 18 13 0 07 Jun 2022
Learning with Capsules: A Survey Fabio De Sousa Ribeiro Kevin Duarte Miles Everett Georgios Leontidis M. Shah 3DPC MedIm 18 19 0 06 Jun 2022
Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics Alexander Henkes Henning Wessels 3DV MedIm AI4CE 15 38 0 31 May 2022
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction Beliz Gunel Arda Sahiner Arjun D Desai Akshay S. Chaudhari S. Vasanawala Mert Pilanci John M. Pauly MedIm 9 7 0 21 Apr 2022
Relaxing Equivariance Constraints with Non-stationary Continuous Filters Tycho F. A. van der Ouderaa David W. Romero Mark van der Wilk 24 33 0 14 Apr 2022
OmniPD: One-Step Person Detection in Top-View Omnidirectional Indoor Scenes Jingrui Yu Roman Seidel G. Hirtz ObjD 13 8 0 14 Apr 2022
Shape-Pose Disentanglement using SE(3)-equivariant Vector Neurons Oren Katzir Dani Lischinski Daniel Cohen-Or 3DPC 30 14 0 03 Apr 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 34 55 0 31 Mar 2022
Distortion-Tolerant Monocular Depth Estimation On Omnidirectional Images Using Dual-cubemap Zhijie Shen Chunyu Lin Lang Nie K. Liao Yao Zhao MDE 38 15 0 18 Mar 2022
Symmetry-Based Representations for Artificial and Biological General Intelligence I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 24 44 0 17 Mar 2022
RRL:Regional Rotation Layer in Convolutional Neural Networks Zongbo Hao Tao Zhang MingWang Chen Kaixuan Zhou 14 2 0 25 Feb 2022
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis Hanieh Naderi Kimia Noorbakhsh Arian Etemadi S. Kasaei AAML 14 12 0 23 Feb 2022
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations Alexander Immer Tycho F. A. van der Ouderaa Gunnar Rätsch Vincent Fortuin Mark van der Wilk BDL 26 44 0 22 Feb 2022
Spherical Transformer Sungmin Cho Raehyuk Jung Junseok Kwon ViT 8 9 0 10 Feb 2022
Field-of-View IoU for Object Detection in 360° Images Miao Cao Satoshi Ikehata Kiyoharu Aizawa 17 15 0 07 Feb 2022
GLPanoDepth: Global-to-Local Panoramic Depth Estimation Jia-Chi Bai Shuichang Lai Haoyu Qin Jie Guo Yanwen Guo ViT MDE 63 21 0 06 Feb 2022
Spherical Convolution empowered FoV Prediction in 360-degree Video Multicast with Limited FoV Feedback Jie Li Ling Han Cong Zhang Qiyue Li Zhi Liu 16 2 0 29 Jan 2022
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices Mikolaj Malkiñski Jacek Mañdziuk 120 41 0 28 Jan 2022
Revisiting LiDAR Registration and Reconstruction: A Range Image Perspective W. Dong Kwonyoung Ryu Michael Kaess Jaesik Park 3DV 30 5 0 06 Dec 2021
Frame Averaging for Equivariant Shape Space Learning Matan Atzmon Koki Nagano Sanja Fidler S. Khamis Y. Lipman FedML 28 13 0 03 Dec 2021
Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks Jianbo Jiao João F. Henriques BDL OOD MQ 13 2 0 25 Nov 2021
Deformation Robust Roto-Scale-Translation Equivariant CNNs Liyao (Mars) Gao Guang Lin Wei-wei Zhu 15 8 0 22 Nov 2021
Self-Supervised Learning Disentangled Group Representation as Feature Tan Wang Zhongqi Yue Jianqiang Huang Qianru Sun Hanwang Zhang OOD 29 67 0 28 Oct 2021
Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science Charlotte Loh T. Christensen Rumen Dangovski Samuel Kim Marin Soljacic 24 16 0 15 Oct 2021
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation Mohsen Yavartanoo Shih-Hsuan Hung Reyhaneh Neshatavar Yue Zhang Kyoung Mu Lee 19 15 0 15 Oct 2021
Implicit Bias of Linear Equivariant Networks Hannah Lawrence Kristian Georgiev A. Dienes B. Kiani AI4CE 32 14 0 12 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 17 229 0 06 Oct 2021
Frequency Pooling: Shift-Equivalent and Anti-Aliasing Downsampling Zhendong Zhang OOD 11 5 0 24 Sep 2021
Automatic Symmetry Discovery with Lie Algebra Convolutional Network Nima Dehmamy Robin G. Walters Yanchen Liu Dashun Wang Rose Yu AI4CE 78 81 0 15 Sep 2021
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors Haiping Wang Yuan-Bin Liu Zhen Dong Wenping Wang 3DPC 27 124 0 01 Sep 2021
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods Tobias Alt Karl Schrader Joachim Weickert Pascal Peter M. Augustin 19 4 0 31 Aug 2021
SpectGRASP: Robotic Grasping by Spectral Correlation Maxime Adjigble Cristiana Miranda de Farias Rustam Stolkin Naresh Marturi 10 7 0 26 Jul 2021
Circular-Symmetric Correlation Layer based on FFT Bahar Azari Deniz Erdogmus 34 1 0 26 Jul 2021
Large-scale graph representation learning with very deep GNNs and self-supervision Ravichandra Addanki Peter W. Battaglia David Budden Andreea Deac Jonathan Godwin ... Wai Lok Sibon Li Alvaro Sanchez-Gonzalez Jacklynn Stott S. Thakoor Petar Velivcković SSL AI4CE 24 25 0 20 Jul 2021
Equivariant Networks for Pixelized Spheres Mehran Shakerinava Siamak Ravanbakhsh 3DPC 23 19 0 12 Jun 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 11 23 0 11 Jun 2021