Spin-Weighted Spherical CNNs

18 June 2020

Papers citing "Spin-Weighted Spherical CNNs"

50 / 54 papers shown

Title
Attention on the Sphere Boris Bonev Max Rietmann Andrea Paris Alberto Carpentieri Thorsten Kurth 29 0 0 16 May 2025
Position: Beyond Euclidean -- Foundation Models Should Embrace Non-Euclidean Geometries Neil He Jiahong Liu Buze Zhang N. Bui Ali Maatouk Menglin Yang Irwin King Melanie Weber Rex Ying 29 0 0 11 Apr 2025
SO(3)-Equivariant Neural Networks for Learning Vector Fields on Spheres Francesco Ballerin Nello Blaser E. Grong 64 0 0 13 Mar 2025
$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation Yinshuang Xu Dian Chen Katherine Liu Sergey Zakharov Rares Andrei Ambrus Kostas Daniilidis Vitor Campagnolo Guizilini MDE 35 0 0 11 Nov 2024
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction Jongmin Lee Minsu Cho 46 1 0 01 Nov 2024
Elite360M: Efficient 360 Multi-task Learning via Bi-projection Fusion and Cross-task Collaboration Hao Ai Lin Wang 35 0 0 18 Aug 2024
EqNIO: Subequivariant Neural Inertial Odometry Royina Karegoudra Jayanth Yinshuang Xu Ziyun Wang Evangelos Chatzipantazis Daniel Gehrig Kostas Daniilidis 48 3 0 12 Aug 2024
Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency Yuchao Lin Jacob Helwig Shurui Gui Shuiwang Ji 42 7 0 11 Jun 2024
Neural Isometries: Taming Transformations for Equivariant ML Thomas W. Mitchel Michael Taylor Vincent Sitzmann 30 0 0 29 May 2024
HRTF Interpolation using a Spherical Neural Process Meta-Learner Etienne Thuillier Craig T. Jin Vesa Valimaki 24 2 0 20 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
Learning from Pixels with Expert Observations M. Hoang Long Dinh Hai V. Nguyen OffRL 32 2 0 24 Jun 2023
Scaling Spherical CNNs Carlos Esteves Jean-Jacques E. Slotine A. Makadia GNN LRM 27 14 0 08 Jun 2023
SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation Xuewei Li Tao Wu Zhongang Qi Gaoang Wang Ying Shan Xi Li ViT 3DPC MDE 24 13 0 06 Jun 2023
Learning Linear Groups in Neural Networks Emmanouil Theodosis Karim Helwani Demba E. Ba AI4CE 15 0 0 29 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 42 1 0 26 May 2023
360BEV: Panoramic Semantic Mapping for Indoor Bird's-Eye View Zhifeng Teng Jiaming Zhang Kailun Yang Kunyu Peng Haowen Shi Simon Reiß Ke Cao Rainer Stiefelhagen MDE 29 12 0 21 Mar 2023
Deep Neural Networks with Efficient Guaranteed Invariances M. Rath A. P. Condurache 16 4 0 02 Mar 2023
Equivariant Light Field Convolution and Transformer Yinshuang Xu Jiahui Lei Kostas Daniilidis ViT 27 0 0 30 Dec 2022
Accidental Turntables: Learning 3D Pose by Watching Objects Turn Zezhou Cheng Matheus Gadelha Subhransu Maji 3DPC 21 1 0 13 Dec 2022
Learning unfolded networks with a cyclic group structure Emmanouil Theodosis Demba E. Ba 19 0 0 16 Nov 2022
Equivariant Networks for Crystal Structures Sekouba Kaba Siamak Ravanbakhsh AI4CE 48 23 0 15 Nov 2022
SphNet: A Spherical Network for Semantic Pointcloud Segmentation Lukas Bernreiter Lionel Ott Roland Siegwart Cesar Cadena 3DPC 32 1 0 24 Oct 2022
Holographic-(V)AE: an end-to-end SO(3)-Equivariant (Variational) Autoencoder in Fourier Space Gian Marco Visani Michael N. Pun Arman Angaji Armita Nourmohammad BDL 24 3 0 30 Sep 2022
Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions Jeremy Ocampo Matthew Alexander Price Jason D. McEwen 29 14 0 27 Sep 2022
PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs Zhengyang Shen T. Hong Qi She Jinwen Ma Zhouchen Lin MedIm 13 7 0 07 Aug 2022
Complementary Bi-directional Feature Compression for Indoor 360° Semantic Segmentation with Self-distillation Zishuo Zheng Chunyu Lin Lang Nie K. Liao Zhijie Shen Yao Zhao MDE 47 13 0 06 Jul 2022
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces Yinshuang Xu Jiahui Lei Yan Sun Kostas Daniilidis 23 19 0 16 Jun 2022
Hierarchical Spherical CNNs with Lifting-based Adaptive Wavelets for Pooling and Unpooling Mingxing Xu Chenglin Li Wenrui Dai Siheng Chen Junni Zou P. Frossard H. Xiong 34 2 0 31 May 2022
Unsupervised Learning of Group Invariant and Equivariant Representations R. Winter Marco Bertolini Tuan Le Frank Noé Djork-Arné Clevert 25 40 0 15 Feb 2022
Equivariance versus Augmentation for Spherical Images Jan E. Gerken Oscar Carlsson H. Linander F. Ohlsson Christoffer Petersson Daniel Persson 3DPC 33 14 0 08 Feb 2022
Rigidity Preserving Image Transformations and Equivariance in Perspective Lucas Brynte Georg Bökman Axel Flinth Fredrik Kahl 40 3 0 31 Jan 2022
Möbius Convolutions for Spherical CNNs Thomas W. Mitchel Noam Aigerman Vladimir G. Kim Michael Kazhdan 25 11 0 28 Jan 2022
SE(3) Equivariant Graph Neural Networks with Complete Local Frames Weitao Du He Zhang Yuanqi Du Qi Meng Wei Chen Bin Shao Tie-Yan Liu 56 79 0 26 Oct 2021
Learning Partial Equivariances from Data David W. Romero Suhas Lohit 21 27 0 19 Oct 2021
Inferring dark matter substructure with astrometric lensing beyond the power spectrum S. Mishra-Sharma 43 11 0 04 Oct 2021
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors Haiping Wang Yuan Liu Zhen Dong Wenping Wang 3DPC 27 124 0 01 Sep 2021
OSLO: On-the-Sphere Learning for Omnidirectional images and its application to 360-degree image compression Navid Mahmoudian Bidgoli Roberto G. de A. Azevedo Thomas Maugey A. Roumy P. Frossard 33 13 0 19 Jul 2021
Equivariant Networks for Pixelized Spheres Mehran Shakerinava Siamak Ravanbakhsh 3DPC 31 19 0 12 Jun 2021
Group Equivariant Subsampling Jin Xu Hyunjik Kim Tom Rainforth Yee Whye Teh 26 21 0 10 Jun 2021
GemNet: Universal Directional Graph Neural Networks for Molecules Johannes Klicpera Florian Becker Stephan Günnemann AI4CE 39 435 0 02 Jun 2021
Geometric Deep Learning and Equivariant Neural Networks Jan E. Gerken J. Aronsson Oscar Carlsson H. Linander F. Ohlsson Christoffer Petersson Daniel Persson MLT 13 66 0 28 May 2021
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms A. Saydjari D. Finkbeiner 33 20 0 22 Apr 2021
Autoequivariant Network Search via Group Decomposition Sourya Basu A. Magesh Harshit Yadav L. Varshney 27 6 0 10 Apr 2021
Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs Jason D. McEwen C. Wallis Augustine N. Mavor-Parker 31 22 0 04 Feb 2021
LieTransformer: Equivariant self-attention for Lie Groups M. Hutchinson Charline Le Lan Sheheryar Zaidi Emilien Dupont Yee Whye Teh Hyunjik Kim 26 111 0 20 Dec 2020
Rotation-Invariant Autoencoders for Signals on Spheres Suhas Lohit Shubhendu Trivedi MDE 22 5 0 08 Dec 2020
Learning Equivariant Representations Carlos Esteves BDL 26 0 0 04 Dec 2020
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes P. Holderrieth M. Hutchinson Yee Whye Teh BDL 36 30 0 25 Nov 2020
Structured Visual Search via Composition-aware Learning Mert Kilickaya A. Smeulders CoGe 17 5 0 27 Oct 2020