Spherical CNNs

30 January 2018

Papers citing "Spherical CNNs"

50 / 178 papers shown

Title
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Ali Alawieh Alexandru P. Condurache 3DPC 53 0 0 07 May 2025
Monocular visual simultaneous localization and mapping: (r)evolution from geometry to deep learning-based pipelines Olaya Álvarez-Tunón Yury Brodskiy Erdal Kayacan 73 6 0 04 Mar 2025
EDM: Equirectangular Projection-Oriented Dense Kernelized Feature Matching Dongki Jung Jaehoon Choi Yonghan Lee Somi Jeong T. Lee Dinesh Manocha Suyong Yeon 68 1 0 28 Feb 2025
Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Rongzhao He Weihao Zheng Leilei Zhao Ying Wang Dalin Zhu Dan Wu Bin Hu Mamba 95 0 0 21 Feb 2025
Equivariant Masked Position Prediction for Efficient Molecular Representation Junyi An C. Qu Yun-Fei Shi XinHao Liu Qianwei Tang Fenglei Cao Yuan Qi 35 0 0 12 Feb 2025
EqNIO: Subequivariant Neural Inertial Odometry Royina Karegoudra Jayanth Yinshuang Xu Ziyun Wang Evangelos Chatzipantazis Daniel Gehrig Kostas Daniilidis 40 3 0 12 Aug 2024
Sampling Foundational Transformer: A Theoretical Perspective Viet Anh Nguyen Minh Lenhat Khoa Nguyen Duong Duc Hieu Dao Huu Hung Truong Son-Hy 42 0 0 11 Aug 2024
The Harmonic Exponential Filter for Nonparametric Estimation on Motion Groups Miguel A. Saavedra-Ruiz Steven A. Parkison Ria Arora James Richard Forbes Liam Paull 18 0 0 01 Aug 2024
360VFI: A Dataset and Benchmark for Omnidirectional Video Frame Interpolation Wenxuan Lu Mengshun Hu Yansheng Qiu Liang Liao Zheng Wang 39 0 0 19 Jul 2024
Frequency and Generalisation of Periodic Activation Functions in Reinforcement Learning Augustine N. Mavor-Parker Matthew J. Sargent Caswell Barry Lewis D. Griffin Clare Lyle 37 2 0 09 Jul 2024
Molecule Graph Networks with Many-body Equivariant Interactions Zetian Mao Jiawen Li Chen Liang Diptesh Das Masato Sumita Koji Tsuda Kelin Xia Koji Tsuda 35 1 0 19 Jun 2024
FSH3D: 3D Representation via Fibonacci Spherical Harmonics Zikuan Li Anyi Huang Wenru Jia Qiaoyun Wu Mingqiang Wei Jun Wang 35 0 0 12 Jun 2024
Equivariant Neural Tangent Kernels Philipp Misof Pan Kessel Jan E. Gerken 50 0 0 10 Jun 2024
Steerable Transformers Soumyabrata Kundu Risi Kondor ViT LLMSV 30 1 0 24 May 2024
Graph as Point Set Xiyuan Wang Pan Li Muhan Zhang GNN 3DPC PINN 40 4 0 05 May 2024
On the Fourier analysis in the SO(3) space : EquiLoPO Network Dmitrii Zhemchuzhnikov Sergei Grudinin 30 0 0 24 Apr 2024
Adapting CNNs for Fisheye Cameras without Retraining Ryan-Rhys Griffiths D. Dansereau 27 0 0 12 Apr 2024
Hybrid Neural Representations for Spherical Data Hyomin Kim Yunhui Jang Jaeho Lee Sungsoo Ahn 32 3 0 05 Feb 2024
Equivariant Symmetry Breaking Sets YuQing Xie Tess E. Smidt 22 4 0 05 Feb 2024
FoVA-Depth: Field-of-View Agnostic Depth Estimation for Cross-Dataset Generalization Daniel Lichy Hang Su Abhishek Badki Jan Kautz Orazio Gallo MDE 38 2 0 24 Jan 2024
Equivariant Graph Neural Operator for Modeling 3D Dynamics Minkai Xu Jiaqi Han Aaron Lou Jean Kossaifi Arvind Ramanathan Kamyar Azizzadenesheli J. Leskovec Stefano Ermon A. Anandkumar AI4CE 26 16 0 19 Jan 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 21 32 0 17 Jan 2024
360 Layout Estimation via Orthogonal Planes Disentanglement and Multi-view Geometric Consistency Perception Zhijie Shen Chunyu Lin Junsong Zhang Lang Nie K. Liao Yao Zhao 28 5 0 26 Dec 2023
Affine Invariance in Continuous-Domain Convolutional Neural Networks A. Mohaddes Johannes Lederer 13 1 0 13 Nov 2023
Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks F. Quiroga Franco Ronchetti Laura Lanzarini A. F. Bariviera 19 33 0 12 Oct 2023
Neural Discovery of Permutation Subgroups Pavan Karjol Rohan Kashyap A. Prathosh 26 3 0 11 Sep 2023
PanoSwin: a Pano-style Swin Transformer for Panorama Understanding Zhixin Ling Zhen Xing Xiangdong Zhou Manliang Cao G. Zhou ViT 23 17 0 28 Aug 2023
Entropy Transformer Networks: A Learning Approach via Tangent Bundle Data Manifold Pourya Shamsolmoali Masoumeh Zareapoor 25 1 0 24 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
Learning Lie Group Symmetry Transformations with Neural Networks Alex Gabel Victoria G Klein Riccardo Valperga J. Lamb K. Webster Rick Quax E. Gavves 20 5 0 04 Jul 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey Hanieh Naderi Ivan V. Bajić 3DPC 31 7 0 01 Jul 2023
Hyperbolic Convolution via Kernel Point Aggregation Eric Qu Dongmian Zou 45 3 0 15 Jun 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 26 1 0 26 May 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
DarSwin: Distortion Aware Radial Swin Transformer Akshay Athwale Ichrak Shili Émile Bergeron Arman Afrasiyabi Justin Lague Ola Ahmad Jean-François Lalonde 21 6 0 19 Apr 2023
$$E(3) \times SO(3)$-Equivariant Networks for Spherical Deconvolution in Diffusion MRI$ $E(3) \times SO(3)$ -Equivariant Networks for Spherical Deconvolution in Diffusion MRI Axel Elaldi Guido Gerig Neel Dey MedIm 14 3 0 12 Apr 2023
Learning Energy-Based Representations of Quantum Many-Body States Abhijith Jayakumar Marc Vuffray A. Lokhov AI4CE 24 3 0 08 Apr 2023
CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference Frame Yujing Lou Zelin Ye Yang You Nianjuan Jiang Jiangbo Lu Weiming Wang Lizhuang Ma Cewu Lu 3DPC 42 7 0 06 Mar 2023
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction David M. Klee Ondrej Biza Robert W. Platt Robin G. Walters 21 18 0 27 Feb 2023
Invariant Representations of Embedded Simplicial Complexes Taejin Paik 21 1 0 27 Feb 2023
Unsupervised OmniMVS: Efficient Omnidirectional Depth Inference via Establishing Pseudo-Stereo Supervision Zisong Chen Chunyu Lin Nie Lang K. Liao Yao Zhao MDE 52 7 0 20 Feb 2023
General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment Liang Xie Yibo Yang Wenxiao Wang Binbin Lin Deng Cai Xiaofei He Ronghua Liang 3DPC 16 2 0 20 Feb 2023
Self-supervised learning of Split Invariant Equivariant representations Q. Garrido Laurent Najman Yann LeCun SSL 19 32 0 14 Feb 2023
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs Saro Passaro C. L. Zitnick 3DPC 23 79 0 07 Feb 2023
Equivariant Architectures for Learning in Deep Weight Spaces Aviv Navon Aviv Shamsian Idan Achituve Ethan Fetaya Gal Chechik Haggai Maron 30 63 0 30 Jan 2023
Brauer's Group Equivariant Neural Networks Edward Pearce-Crump AI4CE 13 15 0 16 Dec 2022
Attention-Enhanced Cross-modal Localization Between 360 Images and Point Clouds Zhipeng Zhao Huai Yu Chenwei Lyv Wen Yang S. Scherer 3DPC 20 3 0 06 Dec 2022
Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields Rohith Agaram Shaurya Dewan Rahul Sajnani A. Poulenard Madhava Krishna Srinath Sridhar 28 6 0 05 Dec 2022
Equivalence Between SE(3) Equivariant Networks via Steerable Kernels and Group Convolution A. Poulenard M. Ovsjanikov Leonidas J. Guibas 3DPC 30 2 0 29 Nov 2022
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization Sanae Lotfi Marc Finzi Sanyam Kapoor Andres Potapczynski Micah Goldblum A. Wilson BDL MLT AI4CE 19 51 0 24 Nov 2022