Spherical CNNs on Unstructured Grids

7 January 2019

Chiyu “Max”

Jingwei Huang

K. Kashinath

Lawrence Berkeley Nat’l Lab

P. Marcus

Matthias Niessner

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Papers citing "Spherical CNNs on Unstructured Grids"

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Title
EDM: Equirectangular Projection-Oriented Dense Kernelized Feature Matching Dongki Jung Jaehoon Choi Yonghan Lee Somi Jeong T. Lee Dinesh Manocha Suyong Yeon 73 1 0 28 Feb 2025
$3D Scene Geometry Estimation from 360$^\circ$ Imagery: A Survey$ 3D Scene Geometry Estimation from 360 $^\circ$ Imagery: A Survey T. L. T. D. Silveira Paulo G. L. Pinto Jeffri Murrugarra-Llerena C. R. Jung MDE 26 33 0 17 Jan 2024
Zero-shot Learning of Individualized Task Contrast Prediction from Resting-state Functional Connectomes Minh Nguyen G. Ngo M. Sabuncu 24 2 0 21 Oct 2023
HEAL-SWIN: A Vision Transformer On The Sphere Oscar Carlsson Jan E. Gerken H. Linander Heiner Spiess F. Ohlsson Christoffer Petersson Daniel Persson ViT MedIm 29 6 0 14 Jul 2023
Scaling Spherical CNNs Carlos Esteves Jean-Jacques E. Slotine A. Makadia GNN LRM 27 14 0 08 Jun 2023
WinDB: HMD-free and Distortion-free Panoptic Video Fixation Learning Guotao Wang Chenglizhao Chen Aimin Hao Hong Qin Deng-Ping Fan 32 0 0 23 May 2023
Transcending Grids: Point Clouds and Surface Representations Powering Neurological Processing Kishore Babu Nampalle Pradeep Singh Vivek Narayan Uppala Sumit Gangwar Raj S Negi Balasubramanian Raman 21 1 0 17 May 2023
Scanpath Prediction in Panoramic Videos via Expected Code Length Minimization Mu Li Kanglong Fan Kede Ma 37 4 0 04 May 2023
Unsupervised Discovery of Extreme Weather Events Using Universal Representations of Emergent Organization Adam T. Rupe K. Kashinath Nalini Kumar James P. Crutchfield 19 0 0 25 Apr 2023
Densely Connected $G$ -invariant Deep Neural Networks with Signed Permutation Representations Devanshu Agrawal James Ostrowski AI4CE 36 0 0 08 Mar 2023
Deep Neural Networks with Efficient Guaranteed Invariances M. Rath A. P. Condurache 18 4 0 02 Mar 2023
Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud Analysis Qijian Zhang Junhui Hou Y. Qian Yiming Zeng Juyong Zhang Ying He 3DPC 48 24 0 17 Dec 2022
Decoding natural image stimuli from fMRI data with a surface-based convolutional network Zijin Gu K. Jamison Amy Kuceyeski M. Sabuncu 23 44 0 05 Dec 2022
Interpolated SelectionConv for Spherical Images and Surfaces David Hart Michael Whitney B. Morse 3DH 26 2 0 18 Oct 2022
SphereDepth: Panorama Depth Estimation from Spherical Domain Q. Yan Qiang-qiang Wang Kaiyong Zhao Bo Li X. Chu F. Deng MDE 34 2 0 29 Aug 2022
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation Jiaming Zhang Kailun Yang Haowen Shi Simon Reiß Kunyu Peng Chaoxiang Ma Haodong Fu Philip H. S. Torr Kaiwei Wang Rainer Stiefelhagen ViT MDE 31 36 0 25 Jul 2022
SelectionConv: Convolutional Neural Networks for Non-rectilinear Image Data David Hart Michael Whitney B. Morse 45 2 0 18 Jul 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 44 57 0 31 Mar 2022
Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis Simon Dahan Abdulah Fawaz Logan Z. J. Williams Chunhui Yang Timothy S. Coalson M. Glasser A. Edwards Daniel Rueckert E. C. Robinson MedIm ViT 40 20 0 30 Mar 2022
Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation Jiaming Zhang Kailun Yang Chaoxiang Ma Simon Reiß Kunyu Peng Rainer Stiefelhagen ViT 35 74 0 02 Mar 2022
A Survey on Graph-Based Deep Learning for Computational Histopathology David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson GNN AI4CE 19 108 0 01 Jul 2021
Equivariant Networks for Pixelized Spheres Mehran Shakerinava Siamak Ravanbakhsh 3DPC 31 19 0 12 Jun 2021
Shape As Points: A Differentiable Poisson Solver Songyou Peng C. Jiang Yiyi Liao Michael Niemeyer Marc Pollefeys Andreas Geiger 3DPC 21 233 0 07 Jun 2021
Equivariant Point Network for 3D Point Cloud Analysis Haiwei Chen Shichen Liu Weikai Chen Hao Li 3DPC 19 99 0 25 Mar 2021
Conditional Local Convolution for Spatio-temporal Meteorological Forecasting Haitao Lin Zhangyang Gao Yongjie Xu Lirong Wu Ling Li Stan. Z. Li AI4TS 132 72 0 04 Jan 2021
HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features Cheng Sun Min Sun Hwann-Tzong Chen 3DV 24 131 0 23 Nov 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 34 21 0 14 Jul 2020
Spin-Weighted Spherical CNNs Carlos Esteves A. Makadia Kostas Daniilidis 30 69 0 18 Jun 2020
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data using Unstructured Spatial Discretizations John Tencer Kevin Potter AI4CE 18 13 0 11 Jun 2020
Cortical surface registration using unsupervised learning Jieyu Cheng Adrian V. Dalca Bruce Fischl Lilla Zöllei 24 33 0 09 Apr 2020
Local Implicit Grid Representations for 3D Scenes C. Jiang Avneesh Sud A. Makadia Jingwei Huang Matthias Nießner Thomas Funkhouser 3DPC 240 558 0 19 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 29 256 0 15 Mar 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi Samuel Stanton Pavel Izmailov A. Wilson 28 316 0 25 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 26 88 0 27 Dec 2019
DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems Adam T. Rupe Nalini Kumar V. Epifanov K. Kashinath O. Pavlyk ... M. Patwary Sergey Maidanov Victor W. Lee M. Prabhat James P. Crutchfield AI4CE 22 19 0 25 Sep 2019
DeepSphere: towards an equivariant graph-based spherical CNN M. Defferrard Nathanael Perraudin T. Kacprzak R. Sgier GNN 31 24 0 08 Apr 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 61 402 0 11 Feb 2019
DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals C. Jiang Dana Lynn Ona Lansigan P. Marcus Matthias Nießner 11 11 0 30 Jan 2019
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data Yinhao Zhu N. Zabaras P. Koutsourelakis P. Perdikaris PINN AI4CE 46 854 0 18 Jan 2019
Surface Networks via General Covers Niv Haim Nimrod Segol Heli Ben-Hamu Haggai Maron Y. Lipman 3DPC 22 49 0 27 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
Joint 2D-3D-Semantic Data for Indoor Scene Understanding Iro Armeni S. Sax Amir Zamir Silvio Savarese 3DV 3DPC 115 877 0 03 Feb 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,240 0 24 Nov 2016