DeepSphere: a graph-based spherical CNN

30 December 2020

Papers citing "DeepSphere: a graph-based spherical CNN"

22 / 22 papers shown

Title
Hybrid Neural Representations for Spherical Data Hyomin Kim Yunhui Jang Jaeho Lee Sungsoo Ahn 38 3 0 05 Feb 2024
$3D Scene Geometry Estimation from 360$^\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 32 0 17 Jan 2024
PanoSwin: a Pano-style Swin Transformer for Panorama Understanding Zhixin Ling Zhen Xing Xiangdong Zhou Manliang Cao G. Zhou ViT 26 17 0 28 Aug 2023
360VOT: A New Benchmark Dataset for Omnidirectional Visual Object Tracking Huajian Huang Yin Xu Yingshu Chen Sai-Kit Yeung 22 6 0 27 Jul 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
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
Connectivity Optimized Nested Graph Networks for Crystal Structures R. Ruff Patrick Reiser Jan Stuhmer Pascal Friederich GNN 28 11 0 27 Feb 2023
Invariant Representations of Embedded Simplicial Complexes Taejin Paik 21 1 0 27 Feb 2023
Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations Xun Zhu Yutong Xiong Ming Wu Gaozhen Nie Bin Zhang Ziheng Yang AI4TS 26 17 0 21 Feb 2023
Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles S. K. Kim Kalai Ramea Salva Rühling Cachay H. Hirasawa Subhashis Hazarika D. Hingmire Peetak Mitra P. Rasch Hansi K. A. Singh AI4CE 27 0 0 07 Feb 2023
Extracting the gamma-ray source-count distribution below the Fermi-LAT detection limit with deep learning Aurelio Amerio A. Cuoco N. Fornengo 27 4 0 03 Feb 2023
A PAC-Bayesian Generalization Bound for Equivariant Networks Arash Behboodi Gabriele Cesa Taco S. Cohen 53 17 0 24 Oct 2022
Deep Learning for Omnidirectional Vision: A Survey and New Perspectives Hao Ai Zidong Cao Jin Zhu Haotian Bai Yucheng Chen Ling Wang 35 35 0 21 May 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 39 55 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 37 20 0 30 Mar 2022
Spherical Transformer Sungmin Cho Raehyuk Jung Junseok Kwon ViT 8 10 0 10 Feb 2022
Deformation Robust Roto-Scale-Translation Equivariant CNNs Liyao (Mars) Gao Guang Lin Wei-wei Zhu 20 8 0 22 Nov 2021
Equivariant Networks for Pixelized Spheres Mehran Shakerinava Siamak Ravanbakhsh 3DPC 23 19 0 12 Jun 2021
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms A. Saydjari D. Finkbeiner 33 20 0 22 Apr 2021
Conditional Local Convolution for Spatio-temporal Meteorological Forecasting Haitao Lin Zhangyang Gao Yongjie Xu Lirong Wu Ling Li Stan. Z. Li AI4TS 124 72 0 04 Jan 2021
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration Sheng Ao Qingyong Hu Bo Yang Andrew Markham Yulan Guo 3DPC OOD 42 272 0 24 Nov 2020
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning Sungyong Seo Chuizheng Meng Sirisha Rambhatla Yan Liu AI4CE 11 11 0 15 Jun 2020