Convolutional Networks for Spherical Signals

14 September 2017

Papers citing "Convolutional Networks for Spherical Signals"

37 / 37 papers shown

Title
Differentiable and accelerated spherical harmonic and Wigner transforms Matthew Alexander Price Jason D. McEwen 26 6 0 24 Nov 2023
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras Tzu-Yuan Lin Minghan Zhu Maani Ghaffari 40 1 0 06 Oct 2023
Higher Order Gauge Equivariant CNNs on Riemannian Manifolds and Applications Gianfranco Cortés Yue Yu R. Chen Melissa S. Armstrong David E Vaillancourt B. Vemuri 32 1 0 26 May 2023
Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution Zixiang Zhao Jiangshe Zhang X. Gu Chengli Tan Shuang Xu Yulun Zhang Radu Timofte Luc Van Gool 16 29 0 15 Mar 2023
SphNet: A Spherical Network for Semantic Pointcloud Segmentation Lukas Bernreiter Lionel Ott Roland Siegwart César Cadena 3DPC 25 1 0 24 Oct 2022
E2PN: Efficient SE(3)-Equivariant Point Network Minghan Zhu Maani Ghaffari W. A. Clark Huei Peng 3DPC 19 18 0 11 Jun 2022
ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation Chuanqing Zhuang Zhengda Lu Yiqun Wang Jun Xiao Ying Wang MDE 15 55 0 29 Dec 2021
Applying VertexShuffle Toward 360-Degree Video Super-Resolution on Focused-Icosahedral-Mesh Na Li Yao Liu 28 0 0 21 Jun 2021
VolterraNet: A higher order convolutional network with group equivariance for homogeneous manifolds Monami Banerjee Rudrasis Chakraborty Jose J. Bouza B. Vemuri 28 11 0 05 Jun 2021
DISCO: accurate Discrete Scale Convolutions Ivan Sosnovik A. Moskalev A. Smeulders 20 31 0 04 Jun 2021
ChaRRNets: Channel Robust Representation Networks for RF Fingerprinting Carter Brown Enrico Mattei Andrew Draganov 11 9 0 08 May 2021
Spherical Multi-Modal Place Recognition for Heterogeneous Sensor Systems Lukas Bernreiter Lionel Ott Juan I. Nieto Roland Siegwart César Cadena 3DPC 19 17 0 17 Apr 2021
Diffusion Earth Mover's Distance and Distribution Embeddings Alexander Tong G. Huguet A. Natik Kincaid MacDonald Manik Kuchroo Ronald R. Coifman Guy Wolf Smita Krishnaswamy MedIm 11 29 0 25 Feb 2021
Rotation-Equivariant Deep Learning for Diffusion MRI Philip Muller Vladimir Golkov V. Tomassini Daniel Cremers DiffM MedIm 17 28 0 13 Feb 2021
Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs Jason D. McEwen C. Wallis Augustine N. Mavor-Parker 31 22 0 04 Feb 2021
PCLs: Geometry-aware Neural Reconstruction of 3D Pose with Perspective Crop Layers Frank Yu Mathieu Salzmann Pascal Fua Helge Rhodin 3DV 19 18 0 27 Nov 2020
ODE-CNN: Omnidirectional Depth Extension Networks Xinjing Cheng Peng Wang Yanqi Zhou Chenye Guan Ruigang Yang MDE 11 25 0 03 Jul 2020
Tangent Images for Mitigating Spherical Distortion Marc Eder Mykhailo Shvets John Lim Jan-Michael Frahm 16 105 0 19 Dec 2019
An "augmentation-free" rotation invariant classification scheme on point-cloud and its application to neuroimaging Liu Yang Rudrasis Chakraborty 3DPC 19 1 0 05 Nov 2019
POIRot: A rotation invariant omni-directional pointnet Liu Yang Rudrasis Chakraborty Stella X. Yu 3DPC 11 0 0 29 Oct 2019
SurReal: Complex-Valued Learning as Principled Transformations on a Scaling and Rotation Manifold Rudrasis Chakraborty Yifei Xing Stella X. Yu 22 8 0 18 Oct 2019
Scale-Equivariant Steerable Networks Li Xiao Michal Szmaja A. Smeulders 8 149 0 14 Oct 2019
Powerset Convolutional Neural Networks Chris Wendler Dan Alistarh Markus Püschel GNN 18 19 0 05 Sep 2019
Pano Popups: Indoor 3D Reconstruction with a Plane-Aware Network Marc Eder Pierre Moulon Li Guan 23 50 0 01 Jul 2019
Mapped Convolutions Marc Eder True Price Thanh Vu Akash Bapat Jan-Michael Frahm 4 28 0 26 Jun 2019
Convolutions on Spherical Images Marc Eder Jan-Michael Frahm 11 32 0 21 May 2019
Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation C. Jiang Dequan Wang Jingwei Huang P. Marcus Matthias Nießner 3DPC 17 16 0 07 Jan 2019
Learning to Reconstruct Shapes from Unseen Classes Xiuming Zhang Zhoutong Zhang Chengkai Zhang J. Tenenbaum Bill Freeman Jiajun Wu 3DV 22 155 0 28 Dec 2018
Multi-Dimensional Scaling on Groups Mark Blumstein Henry Kvinge 14 3 0 08 Dec 2018
Kernel Transformer Networks for Compact Spherical Convolution Yu-Chuan Su Kristen Grauman ViT 30 124 0 07 Dec 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
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 9 4 0 03 Aug 2018
OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas N. Zioulis Antonis Karakottas D. Zarpalas P. Daras MDE 17 210 0 25 Jul 2018
Transformationally Identical and Invariant Convolutional Neural Networks through Symmetric Element Operators S. Lo M. Freedman S. Mun Shuo Gu 11 5 0 10 Jun 2018
A CNN for homogneous Riemannian manifolds with applications to Neuroimaging Rudrasis Chakraborty Monami Banerjee B. Vemuri 21 9 0 14 May 2018
Spherical CNNs Taco S. Cohen Mario Geiger Jonas Köhler Max Welling 42 892 0 30 Jan 2018
Learning Compressible 360° Video Isomers Yu-Chuan Su Kristen Grauman 11 20 0 12 Dec 2017