Spherical CNNs

30 January 2018

Papers citing "Spherical CNNs"

50 / 178 papers shown

Title
Commutative Lie Group VAE for Disentanglement Learning Xinqi Zhu Chang Xu Dacheng Tao CoGe DRL 27 22 0 07 Jun 2021
VolterraNet: A higher order convolutional network with group equivariance for homogeneous manifolds Monami Banerjee Rudrasis Chakraborty Jose J. Bouza B. Vemuri 25 11 0 05 Jun 2021
GemNet: Universal Directional Graph Neural Networks for Molecules Johannes Klicpera Florian Becker Stephan Günnemann AI4CE 19 433 0 02 Jun 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Congyue Deng Or Litany Yueqi Duan A. Poulenard Andrea Tagliasacchi Leonidas J. Guibas 3DPC 108 315 0 25 Apr 2021
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms A. Saydjari D. Finkbeiner 25 20 0 22 Apr 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 73 185 0 19 Apr 2021
Semi-supervised Viewpoint Estimation with Geometry-aware Conditional Generation Octave Mariotti Hakan Bilen GAN 21 8 0 02 Apr 2021
Near-field Perception for Low-Speed Vehicle Automation using Surround-view Fisheye Cameras Ciarán Eising Jonathan Horgan S. Yogamani 11 45 0 31 Mar 2021
Beyond Visual Attractiveness: Physically Plausible Single Image HDR Reconstruction for Spherical Panoramas Wei Wei Li Guan Yue Liu Hao Kang Haoxiang Li Ying Nian Wu G. Hua 3DV 16 3 0 24 Mar 2021
DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency Jiehong Lin Zewei Wei Zhihao Li Songcen Xu K. Jia Yuanqing Li 3DPC 16 129 0 11 Mar 2021
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 12 241 0 09 Jan 2021
Rotation-Invariant Autoencoders for Signals on Spheres Suhas Lohit Shubhendu Trivedi MDE 22 5 0 08 Dec 2020
Image Generators with Conditionally-Independent Pixel Synthesis Ivan Anokhin K. Demochkin Taras Khakhulin Gleb Sterkin Victor Lempitsky Denis Korzhenkov 22 156 0 27 Nov 2020
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes P. Holderrieth M. Hutchinson Yee Whye Teh BDL 20 30 0 25 Nov 2020
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration Sheng Ao Qingyong Hu Bo Yang Andrew Markham Yulan Guo 3DPC OOD 28 272 0 24 Nov 2020
HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features Cheng Sun Min Sun Hwann-Tzong Chen 3DV 13 131 0 23 Nov 2020
Spherical convolutions on molecular graphs for protein model quality assessment Ilia Igashov Nikita Pavlichenko Sergei Grudinin 14 14 0 16 Nov 2020
Learning to Orient Surfaces by Self-supervised Spherical CNNs Riccardo Spezialetti Federico Stella M. Marcon Luciano Silva Samuele Salti Luigi Di Stefano 6 40 0 06 Nov 2020
Neural Star Domain as Primitive Representation Yuki Kawana Yusuke Mukuta Tatsuya Harada 3DV 11 25 0 21 Oct 2020
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels Leon Lang Maurice Weiler 24 53 0 21 Oct 2020
Conditional Generative Modeling via Learning the Latent Space Sameera Ramasinghe Kanchana Ranasinghe Salman Khan Nick Barnes Stephen Gould BDL 29 9 0 07 Oct 2020
On the Universality of Rotation Equivariant Point Cloud Networks Nadav Dym Haggai Maron 3DPC 27 78 0 06 Oct 2020
A curvature and density-based generative representation of shapes Zi Ye Nobuyuki Umetani Takeo Igarashi T. Hoffmann 25 5 0 05 Sep 2020
Robust Object Classification Approach using Spherical Harmonics Ayman Mukhaimar Ruwan Tennakoon Chow Yin Lai R. Hoseinnezhad A. Bab-Hadiashar 3DPC 16 6 0 02 Sep 2020
Distortion-Adaptive Grape Bunch Counting for Omnidirectional Images R. Akai Yuzuko Utsumi Y. Miwa Masakazu Iwamura K. Kise 16 4 0 28 Aug 2020
$360$^\circ$ Depth Estimation from Multiple Fisheye Images with Origami Crown Representation of Icosahedron$ 360 $^\circ$ Depth Estimation from Multiple Fisheye Images with Origami Crown Representation of Icosahedron Ren Komatsu Hiromitsu Fujii Y. Tamura Atsushi Yamashita Hajime Asama MDE 24 21 0 14 Jul 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks F. Fuchs Daniel E. Worrall Volker Fischer Max Welling 3DPC 45 664 0 18 Jun 2020
Robust Sound Source Tracking Using SRP-PHAT and 3D Convolutional Neural Networks David Diaz-Guerra A. Miguel J. R. Beltrán 11 87 0 16 Jun 2020
Lorentz Group Equivariant Neural Network for Particle Physics A. Bogatskiy Brandon M. Anderson Jan T. Offermann M. Roussi David W. Miller Risi Kondor AI4CE 13 136 0 08 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features R. Wiersma E. Eisemann Klaus Hildebrandt 15 69 0 02 Jun 2020
Theoretical Aspects of Group Equivariant Neural Networks Carlos Esteves 19 41 0 10 Apr 2020
Cortical surface registration using unsupervised learning Jieyu Cheng Adrian V. Dalca Bruce Fischl Lilla Zöllei 13 33 0 09 Apr 2020
LayoutMP3D: Layout Annotation of Matterport3D Fu-En Wang Yu-Hsuan Yeh Min Sun Wei-Chen Chiu Yi-Hsuan Tsai 3DV 3DPC MDE 15 8 0 30 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 35 120 0 26 Mar 2020
Local Rotation Invariance in 3D CNNs Vincent Andrearczyk Julien Fageot Valentin Oreiller X. Montet A. Depeursinge 32 23 0 19 Mar 2020
A Rotation-Invariant Framework for Deep Point Cloud Analysis Xianzhi Li Ruihui Li Guangyong Chen Chi-Wing Fu Daniel Cohen-Or Pheng-Ann Heng 3DPC 114 109 0 16 Mar 2020
Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere Jonathan A. Weyn Dale Durran R. Caruana AI4Cl 24 256 0 15 Mar 2020
Directional Message Passing for Molecular Graphs Johannes Klicpera Janek Groß Stephan Günnemann 25 846 0 06 Mar 2020
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis Maxime W. Lafarge Erik J. Bekkers J. Pluim R. Duits M. Veta MedIm 13 74 0 20 Feb 2020
On Learning Sets of Symmetric Elements Haggai Maron Or Litany Gal Chechik Ethan Fetaya 22 132 0 20 Feb 2020
Universal Equivariant Multilayer Perceptrons Siamak Ravanbakhsh 98 48 0 07 Feb 2020
Attentive Group Equivariant Convolutional Networks David W. Romero Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 16 89 0 07 Feb 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds Yongheng Zhao Tolga Birdal J. E. Lenssen Emanuele Menegatti Leonidas J. Guibas Federico Tombari 3DPC 20 88 0 27 Dec 2019
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance Sameera Ramasinghe Salman Khan Nick Barnes Stephen Gould 13 8 0 30 Nov 2019
3D Shape Completion with Multi-view Consistent Inference T. Hu Zhizhong Han Matthias Zwicker 3DPC 3DV 19 51 0 28 Nov 2019
360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume Ning-Hsu Wang Bolivar Solarte Yi-Hsuan Tsai Wei-Chen Chiu Min Sun 3DPC MDE 19 65 0 11 Nov 2019
Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods Luca Della Libera Vladimir Golkov Yue Zhu Arman Mielke Daniel Cremers 3DH 3DPC 17 4 0 31 Oct 2019
B-Spline CNNs on Lie Groups Erik J. Bekkers AI4CE 15 129 0 26 Sep 2019
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds Huan Lei Naveed Akhtar Ajmal Saeed Mian 3DPC 19 166 0 20 Sep 2019
SurReal: Fréchet Mean and Distance Transform for Complex-Valued Deep Learning Rudrasis Chakraborty Jiayun Wang Stella X. Yu 14 15 0 24 Jun 2019