Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D
Spherical Voxel Convolution

Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution

23 November 2018

Qi Liu

Papers citing "Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution"

12 / 12 papers shown

Title
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
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
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 Wang 3DPC 44 53 0 30 Oct 2021
ML4ML: Automated Invariance Testing for Machine Learning Models Zukang Liao Pengfei Zhang Min Chen VLM 21 3 0 27 Sep 2021
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration Sheng Ao Qingyong Hu Bo Yang Andrew Markham Yulan Guo 3DPC OOD 42 273 0 24 Nov 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks F. Fuchs Daniel E. Worrall Volker Fischer Max Welling 3DPC 45 666 0 18 Jun 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 120 109 0 16 Mar 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds Yongheng Zhao Tolga Birdal J. E. Lenssen Emanuele Menegatti Leonidas J. Guibas Federico Tombari 3DPC 26 88 0 27 Dec 2019
Effective Rotation-invariant Point CNN with Spherical Harmonics kernels A. Poulenard Marie-Julie Rakotosaona Yann Ponty M. Ovsjanikov 3DPC 28 102 0 27 Jun 2019
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 152 769 0 30 Mar 2018
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
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,240 0 24 Nov 2016