Spherical CNNs

30 January 2018

Papers citing "Spherical CNNs"

50 / 238 papers shown

Title
Attention on the Sphere Boris Bonev Max Rietmann Andrea Paris Alberto Carpentieri Thorsten Kurth 34 0 0 16 May 2025
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Ali Alawieh Alexandru P. Condurache 3DPC 58 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 73 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 Chao Qu Yun-Fei Shi XinHao Liu Qianwei Tang Fenglei Cao Yuan Qi 45 0 0 12 Feb 2025
EqNIO: Subequivariant Neural Inertial Odometry Royina Karegoudra Jayanth Yinshuang Xu Ziyun Wang Evangelos Chatzipantazis Daniel Gehrig Kostas Daniilidis 48 4 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 46 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 28 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 56 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 47 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 45 1 0 19 Jun 2024
FSH3D: 3D Representation via Fibonacci Spherical Harmonics Zikuan Li Anyi Huang Wenru Jia Qiaoyun Wu Mingqiang Wei Jun Wang 37 0 0 12 Jun 2024
Equivariant Neural Tangent Kernels Philipp Misof Pan Kessel Jan E. Gerken 64 0 0 10 Jun 2024
Steerable Transformers Soumyabrata Kundu Risi Kondor ViT LLMSV 42 1 0 24 May 2024
Graph as Point Set Xiyuan Wang Pan Li Muhan Zhang GNN 3DPC PINN 49 4 0 05 May 2024
On the Fourier analysis in the SO(3) space : EquiLoPO Network Dmitrii Zhemchuzhnikov Sergei Grudinin 50 0 0 24 Apr 2024
Adapting CNNs for Fisheye Cameras without Retraining Ryan-Rhys Griffiths D. Dansereau 31 0 0 12 Apr 2024
Hybrid Neural Representations for Spherical Data Hyomin Kim Yunhui Jang Jaeho Lee Sungsoo Ahn 38 3 0 05 Feb 2024
Equivariant Symmetry Breaking Sets YuQing Xie Tess E. Smidt 43 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 53 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 42 17 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 26 33 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 23 1 0 13 Nov 2023
Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks F. Quiroga Franco Ronchetti Laura Lanzarini A. F. Bariviera 27 34 0 12 Oct 2023
Differentiable Euler Characteristic Transforms for Shape Classification Ernst Röell Bastian Alexander Rieck 31 6 0 11 Oct 2023
Latent Space Symmetry Discovery Jianke Yang Nima Dehmamy Robin Walters Rose Yu 40 12 0 29 Sep 2023
Neural Discovery of Permutation Subgroups Pavan Karjol Rohan Kashyap A. Prathosh 34 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 26 17 0 28 Aug 2023
Diffusion probabilistic models enhance variational autoencoder for crystal structure generative modeling T. Pakornchote Natthaphon Choomphon-anomakhun Sorrjit Arrerut C. Atthapak S. Khamkaeo Thiparat Chotibut T. Bovornratanaraks DiffM 37 17 0 04 Aug 2023
Rotation-Invariant Random Features Provide a Strong Baseline for Machine Learning on 3D Point Clouds O. Melia Eric Jonas Rebecca Willett OOD 3DPC 25 3 0 27 Jul 2023
Entropy Transformer Networks: A Learning Approach via Tangent Bundle Data Manifold Pourya Shamsolmoali Masoumeh Zareapoor 45 1 0 24 Jul 2023
HEAL-SWIN: A Vision Transformer On The Sphere Oscar Carlsson Jan E. Gerken Hampus 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 33 5 0 04 Jul 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey Hanieh Naderi Ivan V. Bajić 3DPC 38 7 0 01 Jul 2023
Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions Gengchen Mai Yao Xuan Wen-Hang Zuo Yutong He Jiaming Song Stefano Ermon K. Janowicz Ni Lao 29 39 0 30 Jun 2023
Hyperbolic Convolution via Kernel Point Aggregation Eric Qu Dongmian Zou 53 3 0 15 Jun 2023
Scaling Spherical CNNs Carlos Esteves Jean-Jacques E. Slotine A. Makadia GNN LRM 27 14 0 08 Jun 2023
SO(2)-Equivariant Downwash Models for Close Proximity Flight Henry Smith Ajay Shankar Jennifer Gielis J. Blumenkamp A. Prorok 33 7 0 30 May 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 45 1 0 26 May 2023
Making Vision Transformers Truly Shift-Equivariant Renan A. Rojas-Gomez Teck-Yian Lim Minh N. Do Raymond A. Yeh ViT 38 7 0 25 May 2023
WinDB: HMD-free and Distortion-free Panoptic Video Fixation Learning Guotao Wang Chenglizhao Chen Aimin Hao Hong Qin Deng-Ping Fan 37 0 0 23 May 2023
Scanpath Prediction in Panoramic Videos via Expected Code Length Minimization Mu Li Kanglong Fan Kede Ma 40 4 0 04 May 2023
DarSwin: Distortion Aware Radial Swin Transformer Akshay Athwale Ichrak Shili Émile Bergeron Arman Afrasiyabi Justin Lague Ola Ahmad Jean-François Lalonde 34 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 22 3 0 12 Apr 2023
Learning Energy-Based Representations of Quantum Many-Body States Abhijith Jayakumar Marc Vuffray A. Lokhov AI4CE 32 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 44 7 0 06 Mar 2023
Deep Neural Networks with Efficient Guaranteed Invariances M. Rath A. P. Condurache 18 4 0 02 Mar 2023
Permutation Equivariant Neural Functionals Allan Zhou Kaien Yang Kaylee Burns Adriano Cardace Yiding Jiang Samuel Sokota J. Zico Kolter Chelsea Finn 35 47 0 27 Feb 2023