Effective Rotation-invariant Point CNN with Spherical Harmonics kernels

27 June 2019

A. Poulenard

Marie-Julie Rakotosaona

Papers citing "Effective Rotation-invariant Point CNN with Spherical Harmonics kernels"

28 / 28 papers shown

Title
SRIF: Semantic Shape Registration Empowered by Diffusion-based Image Morphing and Flow Estimation Mingze Sun Chen Guo Puhua Jiang Shiwei Mao Yurun Chen Ruqi Huang 46 4 0 18 Sep 2024
Sampling Foundational Transformer: A Theoretical Perspective Viet Anh Nguyen Minh Lenhat Khoa Nguyen Duong Duc Hieu Dao Huu Hung Truong Son-Hy 44 0 0 11 Aug 2024
EchoPT: A Pretrained Transformer Architecture that Predicts 2D In-Air Sonar Images for Mobile Robotics Jan Steckel W. Jansen Nico Huebel MDE 37 0 0 21 May 2024
An intuitive multi-frequency feature representation for SO(3)-equivariant networks Dongwon Son Jaehyung Kim Sanghyeon Son Beomjoon Kim 3DPC 38 1 0 15 Mar 2024
Non-Rigid Shape Registration via Deep Functional Maps Prior Puhua Jiang Mingze Sun Ruqi Huang 31 10 0 08 Nov 2023
AtomSurf : Surface Representation for Learning on Protein Structures Vincent Mallet Souhaib Attaiki M. Ovsjanikov 39 3 0 28 Sep 2023
Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance Yiming Cui Lecheng Ruan Hang Dong Qiang Li Zhongming Wu T. Zeng Fengyu Fan 3DPC 35 0 0 13 May 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 24 2 0 20 Feb 2023
Equivariance with Learned Canonicalization Functions Sekouba Kaba Arnab Kumar Mondal Yan Zhang Yoshua Bengio Siamak Ravanbakhsh 41 61 0 11 Nov 2022
Learning a Task-specific Descriptor for Robust Matching of 3D Point Clouds Zhiyuan Zhang Yuchao Dai Bin Fan Jiadai Sun Mingyi He 3DPC 43 7 0 26 Oct 2022
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces Yinshuang Xu Jiahui Lei Edgar Dobriban Kostas Daniilidis 23 19 0 16 Jun 2022
A Simple and Universal Rotation Equivariant Point-cloud Network Ben Finkelshtein Chaim Baskin Haggai Maron Nadav Dym 3DPC 29 13 0 02 Mar 2022
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis Hanieh Naderi Kimia Noorbakhsh Arian Etemadi S. Kasaei AAML 16 12 0 23 Feb 2022
Leveraging SE(3) Equivariance for Self-Supervised Category-Level Object Pose Estimation Xiaolong Li Yijia Weng Li Yi Leonidas J. Guibas A. L. Abbott Shuran Song He-Nan Wang 3DPC 44 53 0 30 Oct 2021
Nonlinearities in Steerable SO(2)-Equivariant CNNs Daniel Franzen Michael Wand 36 3 0 14 Sep 2021
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors Haiping Wang Yuan-Bin Liu Zhen Dong Wenping Wang 3DPC 27 124 0 01 Sep 2021
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods Tobias Alt Karl Schrader Joachim Weickert Pascal Peter M. Augustin 22 4 0 31 Aug 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Congyue Deng Or Litany Yueqi Duan A. Poulenard Andrea Tagliasacchi Leonidas J. Guibas 3DPC 111 315 0 25 Apr 2021
ODFNet: Using orientation distribution functions to characterize 3D point clouds Y. Sahin Alican Mertan Gözde B. Ünal 3DPC 21 7 0 08 Dec 2020
Spherical convolutions on molecular graphs for protein model quality assessment Ilia Igashov Nikita Pavlichenko Sergei Grudinin 24 14 0 16 Nov 2020
Neural Unsigned Distance Fields for Implicit Function Learning Julian Chibane Aymen Mir Gerard Pons-Moll 23 319 0 26 Oct 2020
Neural Star Domain as Primitive Representation Yuki Kawana Yusuke Mukuta Tatsuya Harada 3DV 11 25 0 21 Oct 2020
On the Universality of Rotation Equivariant Point Cloud Networks Nadav Dym Haggai Maron 3DPC 27 78 0 06 Oct 2020
Robust Object Classification Approach using Spherical Harmonics Ayman Mukhaimar Ruwan Tennakoon Chow Yin Lai R. Hoseinnezhad A. Bab-Hadiashar 3DPC 16 6 0 02 Sep 2020
CNNs on Surfaces using Rotation-Equivariant Features R. Wiersma E. Eisemann Klaus Hildebrandt 25 69 0 02 Jun 2020
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence Nicolas Donati Abhishek Sharma M. Ovsjanikov AAML 3DPC 19 154 0 31 Mar 2020
A Rotation-Invariant Framework for Deep Point Cloud Analysis Xianzhi Li Ruihui Li Guangyong Chen Chi-Wing Fu Daniel Cohen-Or Pheng-Ann Heng 3DPC 117 109 0 16 Mar 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016