Spherical CNNs

30 January 2018

Papers citing "Spherical CNNs"

50 / 544 papers shown

Title
Generative Models as Distributions of Functions Emilien Dupont Yee Whye Teh Arnaud Doucet 24 103 0 09 Feb 2021
Single-Shot Cuboids: Geodesics-based End-to-end Manhattan Aligned Layout Estimation from Spherical Panoramas N. Zioulis Federico Álvarez D. Zarpalas P. Daras 3DV 24 12 0 07 Feb 2021
Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs Jason D. McEwen C. Wallis Augustine N. Mavor-Parker 33 23 0 04 Feb 2021
Kähler Geometry of Quiver Varieties and Machine Learning G. Jeffreys Siu-Cheong Lau 21 5 0 27 Jan 2021
Spherical Transformer: Adapting Spherical Signal to CNNs Haikuan Du H. Cao Junchi Yan Shen Cai ViT 20 4 0 11 Jan 2021
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 24 243 0 09 Jan 2021
Conditional Local Convolution for Spatio-temporal Meteorological Forecasting Haitao Lin Zhangyang Gao Yongjie Xu Lirong Wu Ling Li Stan. Z. Li AI4TS 135 73 0 04 Jan 2021
DeepSphere: a graph-based spherical CNN M. Defferrard Martino Milani Frédérick Gusset Nathanael Perraudin GNN 3DPC 23 85 0 30 Dec 2020
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
Classification of Single-View Object Point Clouds Zelin Xu Ke Chen Kangjun Liu Changxing Ding Yaowei Wang Kui Jia 3DPC 20 8 0 18 Dec 2020
Disentangling images with Lie group transformations and sparse coding Ho Yin Chau Frank Qiu Yubei Chen Bruno A. Olshausen 30 12 0 11 Dec 2020
Rotation-Invariant Autoencoders for Signals on Spheres Suhas Lohit Shubhendu Trivedi MDE 22 5 0 08 Dec 2020
Learning Equivariant Representations Carlos Esteves BDL 32 0 0 04 Dec 2020
Image Generators with Conditionally-Independent Pixel Synthesis Ivan Anokhin K. Demochkin Taras Khakhulin Gleb Sterkin Victor Lempitsky Denis Korzhenkov 36 156 0 27 Nov 2020
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes P. Holderrieth M. Hutchinson Yee Whye Teh BDL 41 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 47 273 0 24 Nov 2020
Learnable Gabor modulated complex-valued networks for orientation robustness Felix Richards A. Paiement Xianghua Xie Elisabeth Sola Pierre-Alain Duc 19 2 0 23 Nov 2020
HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features Cheng Sun Min Sun Hwann-Tzong Chen 3DV 24 131 0 23 Nov 2020
Spherical convolutions on molecular graphs for protein model quality assessment Ilia Igashov Nikita Pavlichenko Sergei Grudinin 24 14 0 16 Nov 2020
Learning from THEODORE: A Synthetic Omnidirectional Top-View Indoor Dataset for Deep Transfer Learning Tobias Scheck Roman Seidel G. Hirtz 27 22 0 11 Nov 2020
Learning to Orient Surfaces by Self-supervised Spherical CNNs Riccardo Spezialetti Federico Stella M. Marcon Luciano Silva Samuele Salti Luigi Di Stefano 11 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 35 53 0 21 Oct 2020
Improving Transformation Invariance in Contrastive Representation Learning Adam Foster Rattana Pukdee Tom Rainforth 55 23 0 19 Oct 2020
Revisiting Optical Flow Estimation in 360 Videos Keshav Bhandari Ziliang Zong Yan Yan 3DPC 14 16 0 15 Oct 2020
Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video with Applications for Virtual Reality Alisha Sharma Ryan Nett Jonathan Ventura MDE 34 16 0 14 Oct 2020
Spherical Convolutional Neural Networks: Stability to Perturbations in SO(3) Zhan Gao Fernando Gama Alejandro Ribeiro AAML MLT 26 0 0 12 Oct 2020
Efficient Generalized Spherical CNNs Oliver Cobb C. Wallis Augustine N. Mavor-Parker Augustin Marignier Matthew Alexander Price Mayeul dÁvezac Jason D. McEwen 32 34 0 09 Oct 2020
Simplicial Neural Networks Stefania Ebli M. Defferrard Gard Spreemann GNN 19 125 0 07 Oct 2020
Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud Seohyun Kim Jaeyoo Park Bohyung Han 3DPC 29 75 0 07 Oct 2020
Conditional Generative Modeling via Learning the Latent Space Sameera Ramasinghe Kanchana Ranasinghe Salman Khan Nick Barnes Stephen Gould BDL 31 9 0 07 Oct 2020
On the Universality of Rotation Equivariant Point Cloud Networks Nadav Dym Haggai Maron 3DPC 38 79 0 06 Oct 2020
Group Equivariant Stand-Alone Self-Attention For Vision David W. Romero Jean-Baptiste Cordonnier MDE 26 58 0 02 Oct 2020
RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval Rao Fu Jie Yang Jiawei Sun Fang-Lue Zhang Yu-Kun Lai Lin Gao 3DV 3DPC 3DH 34 2 0 02 Oct 2020
A Robust and Reliable Point Cloud Recognition Network Under Rigid Transformation Dongrui Liu Chuanchuan Chen Changqing Xu Qi Cai Lei Chu F. Wen Robert C. Qiu 3DPC 22 15 0 15 Sep 2020
A curvature and density-based generative representation of shapes Zi Ye Nobuyuki Umetani Takeo Igarashi T. Hoffmann 25 5 0 05 Sep 2020
Computational Analysis of Deformable Manifolds: from Geometric Modelling to Deep Learning Stefan C. Schonsheck 24 0 0 03 Sep 2020
Robust Object Classification Approach using Spherical Harmonics Ayman Mukhaimar Ruwan Tennakoon Chow Yin Lai R. Hoseinnezhad A. Bab-Hadiashar 3DPC 18 6 0 02 Sep 2020
Distortion-Adaptive Grape Bunch Counting for Omnidirectional Images R. Akai Yuzuko Utsumi Y. Miwa Masakazu Iwamura K. Kise 18 4 0 28 Aug 2020
Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology Maxime W. Lafarge J. Pluim M. Veta DRL 24 8 0 26 Aug 2020
MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere Images Benjamin Attal Selena Ling Aaron Gokaslan Christian Richardt James Tompkin 30 105 0 14 Aug 2020
Graph Convolution with Low-rank Learnable Local Filters Xiuyuan Cheng Zichen Miao Qiang Qiu GNN 16 0 0 04 Aug 2020
When and how CNNs generalize to out-of-distribution category-viewpoint combinations Spandan Madan Timothy M. Henry Jamell Dozier Helen Ho Nishchal Bhandari Tomotake Sasaki F. Durand Hanspeter Pfister Xavier Boix OOD 41 24 0 15 Jul 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 39 21 0 14 Jul 2020
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning Bailin Li Bowen Wu Jiang Su Guangrun Wang Liang Lin 30 174 0 06 Jul 2020
Simplicial Complex based Point Correspondence between Images warped onto Manifolds Charu Sharma Manohar Kaul 6 0 0 05 Jul 2020
ODE-CNN: Omnidirectional Depth Extension Networks Xinjing Cheng Peng Wang Yanqi Zhou Chenye Guan Ruigang Yang MDE 18 25 0 03 Jul 2020
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey M. Rath Alexandru Paul Condurache ViT AI4CE 42 9 0 30 Jun 2020
Disentangling by Subspace Diffusion David Pfau I. Higgins Aleksandar Botev S. Racanière DiffM DRL 27 36 0 23 Jun 2020
Spin-Weighted Spherical CNNs Carlos Esteves A. Makadia Kostas Daniilidis 30 69 0 18 Jun 2020