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A Rotation-Invariant Framework for Deep Point Cloud Analysis

A Rotation-Invariant Framework for Deep Point Cloud Analysis

16 March 2020
Xianzhi Li
Ruihui Li
Guangyong Chen
Chi-Wing Fu
Daniel Cohen-Or
Pheng-Ann Heng
    3DPC
ArXivPDFHTML

Papers citing "A Rotation-Invariant Framework for Deep Point Cloud Analysis"

13 / 63 papers shown
Title
Angle Based Feature Learning in GNN for 3D Object Detection using Point
  Cloud
Angle Based Feature Learning in GNN for 3D Object Detection using Point Cloud
Md Afzal Ansari
M. Meraz
P. Chakraborty
M. Javed
3DPC
13
3
0
02 Aug 2021
Point Cloud Upsampling via Disentangled Refinement
Point Cloud Upsampling via Disentangled Refinement
Ruihui Li
Xianzhi Li
Pheng-Ann Heng
Chi-Wing Fu
3DPC
25
125
0
09 Jun 2021
Deep Weighted Consensus: Dense correspondence confidence maps for 3D
  shape registration
Deep Weighted Consensus: Dense correspondence confidence maps for 3D shape registration
Dvir Ginzburg
D. Raviv
3DPC
11
7
0
06 May 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
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
Robustness Certification for Point Cloud Models
Robustness Certification for Point Cloud Models
Tobias Lorenz
Anian Ruoss
Mislav Balunović
Gagandeep Singh
Martin Vechev
3DPC
24
26
0
30 Mar 2021
Robust Kernel-based Feature Representation for 3D Point Cloud Analysis
  via Circular Convolutional Network
Robust Kernel-based Feature Representation for 3D Point Cloud Analysis via Circular Convolutional Network
Seunghwan Jung
Y. Shin
Minyoung Chung
3DPC
17
5
0
22 Dec 2020
DiffusionNet: Discretization Agnostic Learning on Surfaces
DiffusionNet: Discretization Agnostic Learning on Surfaces
Nicholas Sharp
Souhaib Attaiki
Keenan Crane
M. Ovsjanikov
3DH
14
196
0
01 Dec 2020
A Robust and Reliable Point Cloud Recognition Network Under Rigid
  Transformation
A Robust and Reliable Point Cloud Recognition Network Under Rigid Transformation
Dongrui Liu
Chuanchuan Chen
Changqing Xu
Qi Cai
Lei Chu
F. Wen
Robert C. Qiu
3DPC
14
15
0
15 Sep 2020
Self-Sampling for Neural Point Cloud Consolidation
Self-Sampling for Neural Point Cloud Consolidation
G. Metzer
Rana Hanocka
Raja Giryes
Daniel Cohen-Or
3DPC
6
30
0
14 Aug 2020
Triangle-Net: Towards Robustness in Point Cloud Learning
Triangle-Net: Towards Robustness in Point Cloud Learning
Chenxi Xiao
J. Wachs
3DH
3DPC
31
34
0
27 Feb 2020
Unsupervised Multi-Task Feature Learning on Point Clouds
Unsupervised Multi-Task Feature Learning on Point Clouds
Kaveh Hassani
Mike Haley
SSL
3DPC
117
193
0
18 Oct 2019
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional
  Filters
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
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,636
0
03 Jul 2012
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