Spherical CNNs

30 January 2018

Papers citing "Spherical CNNs"

50 / 544 papers shown

Title
A Deep Learning Approach to Multi-Fiber Parameter Estimation and Uncertainty Quantification in Diffusion MRI W. Consagra Lipeng Ning Yogesh Rathi MedIm DiffM 44 0 0 22 May 2024
One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation Xinyu Zhang Abdeslam Boularias 46 9 0 21 May 2024
Rotation Initialization and Stepwise Refinement for Universal LiDAR Calibration YiFan Duan Xinran Zhang Guoliang You Yilong Wu Xingchen Li ... Xiaomeng Chu Jie Peng Yu Zhang Jianmin Ji Yanyong Zhang 38 3 0 09 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 52 0 0 24 Apr 2024
Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform Chunghyun Park Seungwook Kim Jaesik Park Minsu Cho 3DPC 45 1 0 17 Apr 2024
Adapting CNNs for Fisheye Cameras without Retraining Ryan-Rhys Griffiths D. Dansereau 36 0 0 12 Apr 2024
Learned Scanpaths Aid Blind Panoramic Video Quality Assessment Kanglong Fan Wen Wen Mu Li Yifan Peng Kede Ma 40 1 0 30 Mar 2024
ILPO-NET: Network for the invariant recognition of arbitrary volumetric patterns in 3D Dmitrii Zhemchuzhnikov Sergei Grudinin 38 1 0 28 Mar 2024
Geometric Generative Models based on Morphological Equivariant PDEs and GANs El Hadji S. Diop Thierno Fall Alioune Mbengue Mohamed Daoudi GAN 41 1 0 22 Mar 2024
Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields Yi-Lun Liao Tess E. Smidt Abhishek Das DiffM AI4CE 45 12 0 14 Mar 2024
Pooling Image Datasets With Multiple Covariate Shift and Imbalance Sotirios Panagiotis Chytas Vishnu Suresh Lokhande Peiran Li Vikas Singh OOD 38 0 0 05 Mar 2024
Position: Categorical Deep Learning is an Algebraic Theory of All Architectures Bruno Gavranovic Paul Lessard Andrew Dudzik Tamara von Glehn J. G. Araújo Petar Velickovic 40 8 0 23 Feb 2024
Approximately Piecewise E(3) Equivariant Point Networks Matan Atzmon Jiahui Huang Francis Williams Or Litany 3DPC 39 1 0 13 Feb 2024
Universal Neural Functionals Allan Zhou Chelsea Finn James Harrison 35 12 0 07 Feb 2024
E(3)-Equivariant Mesh Neural Networks Thuan Trang Nhat-Khang Ngô Daniel Levy Thieu N. Vo Siamak Ravanbakhsh Truong-Son Hy MDE 49 3 0 07 Feb 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
Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates Rémi Leluc Aymeric Dieuleveut Franccois Portier Johan Segers Aigerim Zhuman 23 6 0 02 Feb 2024
Convolution kernel adaptation to calibrated fisheye Bruno Berenguel-Baeta Maria Santos-Villafranca J. Bermudez-Cameo Alejandro Pérez-Yus Jose J. Guerrero 26 1 0 02 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 33 33 0 17 Jan 2024
A Characterization Theorem for Equivariant Networks with Point-wise Activations Marco Pacini Xiaowen Dong Bruno Lepri G. Santin 46 2 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
$Learning Polynomial Problems with $SL(2,\mathbb{R})$ Equivariance$ Learning Polynomial Problems with $SL(2,\mathbb{R})$ Equivariance Hannah Lawrence Mitchell Tong Harris 32 1 0 04 Dec 2023
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor H. Loya L. Dudziak Abhinav Mehrotra Royson Lee Javier Fernandez-Marques Nicholas D. Lane Hongkai Wen OOD 38 0 0 30 Nov 2023
Identification of morphological fingerprint in perinatal brains using quasi-conformal mapping and contrastive learning Boyang Wang Weihao Zheng Ying Wang Zhe Zhang Yuchen Sheng Minmin Wang 27 1 0 25 Nov 2023
Unsupervised Multimodal Surface Registration with Geometric Deep Learning Mohamed A. Suliman Logan Z. J. Williams Abdulah Fawaz Emma C. Robinson 31 1 0 21 Nov 2023
Affine Invariance in Continuous-Domain Convolutional Neural Networks A. Mohaddes Johannes Lederer 23 1 0 13 Nov 2023
H-NeXt: The next step towards roto-translation invariant networks Tomáš Karella F. Šroubek J. Flusser Jan Blazek Vasek Kosik 29 1 0 02 Nov 2023
RePoseDM: Recurrent Pose Alignment and Gradient Guidance for Pose Guided Image Synthesis Anant Khandelwal DiffM 21 0 0 24 Oct 2023
Symmetry-preserving graph attention network to solve routing problems at multiple resolutions Cong Dao Tran Thong Bach Truong-Son Hy 31 0 0 24 Oct 2023
HRTF Interpolation using a Spherical Neural Process Meta-Learner Etienne Thuillier Craig T. Jin Vesa Valimaki 30 2 0 20 Oct 2023
Equivariant Matrix Function Neural Networks Ilyes Batatia Lars L. Schaaf Huajie Chen Gábor Csányi Christoph Ortner Felix A. Faber 42 5 0 16 Oct 2023
Riemannian Residual Neural Networks Isay Katsman Eric Chen Sidhanth Holalkere Anna Asch Aaron Lou Ser-Nam Lim Christopher De Sa 26 10 0 16 Oct 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 36 6 0 11 Oct 2023
Latent Space Symmetry Discovery Jianke Yang Nima Dehmamy Robin Walters Rose Yu 40 12 0 29 Sep 2023
Head-Related Transfer Function Interpolation with a Spherical CNN Xingyu Chen Fei Ma Yile Zhang Amy Bastine P. Samarasinghe 39 0 0 15 Sep 2023
Neural Discovery of Permutation Subgroups Pavan Karjol Rohan Kashyap A. Prathosh 34 3 0 11 Sep 2023
A Unified Framework for Discovering Discrete Symmetries Pavan Karjol Rohan Kashyap Aditya Gopalan Prathosh A.P. 21 2 0 06 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
Symmetric Models for Visual Force Policy Learning Colin Kohler A. S. Srikanth Eshan Arora Robert W. Platt 36 7 0 28 Aug 2023
Approximately Equivariant Graph Networks Ningyuan Huang Ron Levie Soledad Villar 45 18 0 21 Aug 2023
Semantic Equivariant Mixup Zongbo Han Tianchi Xie Bing Wu Qinghua Hu Changqing Zhang AAML 75 0 0 12 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