Learning SO(3) Equivariant Representations with Spherical CNNs

17 November 2017

Carlos Esteves

Christine Allen-Blanchette

A. Makadia

Kostas Daniilidis

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Papers citing "Learning SO(3) Equivariant Representations with Spherical CNNs"

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Title
A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI Lik Hang Kenny Wong Xueyang Kang Kaixin Bai Jianwei Zhang 52 0 0 01 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
Equivariant Spherical CNNs for Accurate Fiber Orientation Distribution Estimation in Neonatal Diffusion MRI with Reduced Acquisition Time Haykel Snoussi Davood Karimi DiffM MedIm 35 0 0 02 Apr 2025
Permutation Equivariant Neural Networks for Symmetric Tensors Edward Pearce-Crump 48 0 0 14 Mar 2025
SO(3)-Equivariant Neural Networks for Learning Vector Fields on Spheres Francesco Ballerin Nello Blaser E. Grong 57 0 0 13 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
Fast Omni-Directional Image Super-Resolution: Adapting the Implicit Image Function with Pixel and Semantic-Wise Spherical Geometric Priors Xuelin Shen Y. Wang Silin Zheng Kang Xiao Wenhan Yang Xu Wang SupR 82 0 0 09 Feb 2025
Level-Set Parameters: Novel Representation for 3D Shape Analysis Huan Lei Hongdong Li Andreas Geiger Anthony Dick 69 0 0 18 Dec 2024
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction Jongmin Lee Minsu Cho 44 1 0 01 Nov 2024
SOE: SO(3)-Equivariant 3D MRI Encoding Shizhe He Magdalini Paschali J. Ouyang Adnan Masood Akshay S. Chaudhari Ehsan Adeli 24 1 0 15 Oct 2024
Decomposition of Equivariant Maps via Invariant Maps: Application to Universal Approximation under Symmetry Akiyoshi Sannai Yuuki Takai Matthieu Cordonnier 145 0 0 25 Sep 2024
PseudoNeg-MAE: Self-Supervised Point Cloud Learning using Conditional Pseudo-Negative Embeddings Sutharsan Mahendren Saimunur Rahman Piotr Koniusz Tharindu Fernando S. Sridharan Clinton Fookes Peyman Moghadam 3DPC 31 0 0 24 Sep 2024
Adaptive Sampling for Continuous Group Equivariant Neural Networks Berfin Inal Gabriele Cesa 30 0 0 13 Sep 2024
RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning Kunming Su Qiuxia Wu Panpan Cai Xiaogang Zhu Xuequan Lu Zhiyong Wang Kun Hu 3DPC 34 2 0 31 Aug 2024
3D Point Cloud Network Pruning: When Some Weights Do not Matter Amrijit Biswas M. Hossain M. M. L. Elahi A. Cheraghian Fuad Rahman Nabeel Mohammed Shafin Rahman 3DPC 20 1 0 26 Aug 2024
Improving Equivariant Model Training via Constraint Relaxation Stefanos Pertigkiozoglou Evangelos Chatzipantazis Shubhendu Trivedi Kostas Daniilidis 37 4 0 23 Aug 2024
EqNIO: Subequivariant Neural Inertial Odometry Royina Karegoudra Jayanth Yinshuang Xu Ziyun Wang Evangelos Chatzipantazis Daniel Gehrig Kostas Daniilidis 40 3 0 12 Aug 2024
RISurConv: Rotation Invariant Surface Attention-Augmented Convolutions for 3D Point Cloud Classification and Segmentation Zhiyuan Zhang Licheng Yang Zhiyu Xiang 3DPC 3DH 21 1 0 12 Aug 2024
Spherical World-Locking for Audio-Visual Localization in Egocentric Videos Heeseung Yun Ruohan Gao Ishwarya Ananthabhotla Anurag Kumar Jacob Donley Chao Li Gunhee Kim V. Ithapu Calvin Murdock 45 1 0 09 Aug 2024
360VFI: A Dataset and Benchmark for Omnidirectional Video Frame Interpolation Wenxuan Lu Mengshun Hu Yansheng Qiu Liang Liao Zheng Wang 35 0 0 19 Jul 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
E $^3$ -Net: Efficient E(3)-Equivariant Normal Estimation Network Hanxiao Wang Mingyang Zhao Weize Quan Zhen Chen Dong-ming Yan Peter Wonka 3DPC 31 0 0 01 Jun 2024
A Deep Learning Approach to Multi-Fiber Parameter Estimation and Uncertainty Quantification in Diffusion MRI W. Consagra Lipeng Ning Yogesh Rathi MedIm DiffM 28 0 0 22 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 24 3 0 09 May 2024
Solving Partial Differential Equations with Equivariant Extreme Learning Machines Hans Harder Jean Rabault Ricardo Vinuesa Mikael Mortensen Sebastian Peitz 28 2 0 29 Apr 2024
Adapting CNNs for Fisheye Cameras without Retraining Ryan-Rhys Griffiths D. Dansereau 27 0 0 12 Apr 2024
Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis Yiyang Chen Lunhao Duan Shanshan Zhao Changxing Ding Dacheng Tao 32 2 0 17 Mar 2024
An intuitive multi-frequency feature representation for SO(3)-equivariant networks Dongwon Son Jaehyung Kim Sanghyeon Son Beomjoon Kim 3DPC 36 1 0 15 Mar 2024
Structure Preserving Diffusion Models Haoye Lu S. Szabados Yaoliang Yu DiffM 59 2 0 29 Feb 2024
Approximately Piecewise E(3) Equivariant Point Networks Matan Atzmon Jiahui Huang Francis Williams Or Litany 3DPC 21 1 0 13 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
$3D Scene Geometry Estimation from 360$^\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
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 17 1 0 25 Nov 2023
Differentiable and accelerated spherical harmonic and Wigner transforms Matthew Alexander Price Jason D. McEwen 17 6 0 24 Nov 2023
ShapeMatcher: Self-Supervised Joint Shape Canonicalization, Segmentation, Retrieval and Deformation Yan Di Chenyangguang Zhang Chaowei Wang Ruida Zhang Guangyao Zhai Yanyan Li Bowen Fu Xiangyang Ji Shan Gao 3DPC 19 5 0 18 Nov 2023
Deep Learning-based 3D Point Cloud Classification: A Systematic Survey and Outlook Huang Zhang Changshuo Wang Shengwei Tian Baoli Lu Liping Zhang X. Ning Xiao Bai 3DPC 30 100 0 05 Nov 2023
HRTF Interpolation using a Spherical Neural Process Meta-Learner Etienne Thuillier Craig T. Jin Vesa Valimaki 19 2 0 20 Oct 2023
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution Rui Wang E. Hofgard Han Gao Robin Walters Tess E. Smidt AI4CE 30 9 0 03 Oct 2023
Equivariant Adaptation of Large Pretrained Models Arnab Kumar Mondal Siba Smarak Panigrahi Sekouba Kaba Sai Rajeswar Siamak Ravanbakhsh 40 27 0 02 Oct 2023
PanoMixSwap Panorama Mixing via Structural Swapping for Indoor Scene Understanding Yu-Cheng Hsieh Cheng Sun Suraj Dengale Min Sun 3DPC 15 1 0 18 Sep 2023
Head-Related Transfer Function Interpolation with a Spherical CNN Xingyu Chen Fei Ma Yile Zhang Amy Bastine P. Samarasinghe 25 0 0 15 Sep 2023
Neural Discovery of Permutation Subgroups Pavan Karjol Rohan Kashyap A. Prathosh 26 3 0 11 Sep 2023
A Unified Framework for Discovering Discrete Symmetries Pavan Karjol Rohan Kashyap Aditya Gopalan Prathosh A.P. 19 2 0 06 Sep 2023
Spherical Vision Transformer for 360-degree Video Saliency Prediction Mert Cokelek Nevrez Imamoglu C. Ozcinar Erkut Erdem Aykut Erdem MDE 15 3 0 24 Aug 2023
VNI-Net: Vector Neurons-based Rotation-Invariant Descriptor for LiDAR Place Recognition Geng Tian Junqiao Zhao Yingfeng Cai Fenglin Zhang Wenjie Mu Chen Ye 3DPC 14 3 0 24 Aug 2023
Local Spherical Harmonics Improve Skeleton-Based Hand Action Recognition Katharina Prasse Steffen Jung Yuxuan Zhou M. Keuper 25 1 0 21 Aug 2023
VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations Jiehong Lin Zewei Wei Yabin Zhang K. Jia 19 30 0 19 Aug 2023
Exploiting Code Symmetries for Learning Program Semantics Kexin Pei Weichen Li Qirui Jin Shuyang Liu Scott Geng Lorenzo Cavallaro Junfeng Yang Suman Jana 31 4 0 07 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 18 3 0 27 Jul 2023
SphereNet: Learning a Noise-Robust and General Descriptor for Point Cloud Registration Guiyu Zhao Zhen-Sheng Guo Xin Wang Hongbin Ma 3DPC OOD 26 4 0 18 Jul 2023