ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1908.04616
  4. Cited By
Revisiting Point Cloud Classification: A New Benchmark Dataset and
  Classification Model on Real-World Data
v1v2 (latest)

Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data

IEEE International Conference on Computer Vision (ICCV), 2019
13 August 2019
Mikaela Angelina Uy
Quang Pham
Binh-Son Hua
D. Nguyen
Sai-Kit Yeung
    3DV3DPC
ArXiv (abs)PDFHTML

Papers citing "Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data"

27 / 477 papers shown
Title
ODFNet: Using orientation distribution functions to characterize 3D
  point clouds
ODFNet: Using orientation distribution functions to characterize 3D point clouds
Y. Sahin
Alican Mertan
Gözde B. Ünal
3DPC
272
7
0
08 Dec 2020
MVTN: Multi-View Transformation Network for 3D Shape Recognition
MVTN: Multi-View Transformation Network for 3D Shape RecognitionIEEE International Conference on Computer Vision (ICCV), 2020
Abdullah Hamdi
Silvio Giancola
Guohao Li
3DV3DPC
348
260
0
26 Nov 2020
Deep Magnification-Flexible Upsampling over 3D Point Clouds
Deep Magnification-Flexible Upsampling over 3D Point CloudsIEEE Transactions on Image Processing (TIP), 2020
Y. Qian
Xianqiang Lyu
Sam Kwong
Ying He
3DPC
259
49
0
25 Nov 2020
On Adversarial Robustness of 3D Point Cloud Classification under
  Adaptive Attacks
On Adversarial Robustness of 3D Point Cloud Classification under Adaptive Attacks
Jiachen Sun
Karl Koenig
Yulong Cao
Qi Alfred Chen
Z. Morley Mao
3DPC
144
21
0
24 Nov 2020
RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud
  Classifiers
RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers
Saeid Asgari Taghanaki
Jieliang Luo
Ran Zhang
Ye Wang
P. Jayaraman
Krishna Murthy Jatavallabhula
3DPCOOD
262
27
0
23 Nov 2020
Unsupervised Point Cloud Pre-Training via Occlusion Completion
Unsupervised Point Cloud Pre-Training via Occlusion CompletionIEEE International Conference on Computer Vision (ICCV), 2020
Hanchen Wang
Qi Liu
Xiangyu Yue
Joan Lasenby
Matt J. Kusner
3DPC
426
301
0
02 Oct 2020
3D-FUTURE: 3D Furniture shape with TextURE
3D-FUTURE: 3D Furniture shape with TextUREInternational Journal of Computer Vision (IJCV), 2020
Huan Fu
Rongfei Jia
Lin Gao
Biwei Huang
Binqiang Zhao
Stephen J. Maybank
Dacheng Tao
3DV
254
327
0
21 Sep 2020
A Robust and Reliable Point Cloud Recognition Network Under Rigid
  Transformation
A Robust and Reliable Point Cloud Recognition Network Under Rigid TransformationIEEE Transactions on Instrumentation and Measurement (IEEE Trans. Instrum. Meas.), 2020
Dongrui Liu
Chuanchuan Chen
Changqing Xu
Qi Cai
Lei Chu
F. Wen
Robert C. Qiu
3DPC
99
16
0
15 Sep 2020
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset,
  Benchmarks and Challenges
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and ChallengesComputer Vision and Pattern Recognition (CVPR), 2020
Qingyong Hu
Bo Yang
Sheikh Khalid
W. Xiao
A. Trigoni
Andrew Markham
3DPC
205
188
0
07 Sep 2020
Robust Object Classification Approach using Spherical Harmonics
Robust Object Classification Approach using Spherical HarmonicsIEEE Access (IEEE Access), 2020
Ayman Mukhaimar
Ruwan Tennakoon
Chow Yin Lai
R. Hoseinnezhad
A. Bab-Hadiashar
3DPC
118
7
0
02 Sep 2020
Minimal Adversarial Examples for Deep Learning on 3D Point Clouds
Minimal Adversarial Examples for Deep Learning on 3D Point CloudsIEEE International Conference on Computer Vision (ICCV), 2020
Jaeyeon Kim
Binh-Son Hua
D. Nguyen
Sai-Kit Yeung
3DPC
199
69
0
27 Aug 2020
PointMixup: Augmentation for Point Clouds
PointMixup: Augmentation for Point Clouds
Yunlu Chen
Vincent Tao Hu
E. Gavves
Thomas Mensink
Pascal Mettes
Pengwan Yang
Cees G. M. Snoek
3DPC
187
182
0
14 Aug 2020
Global Context Aware Convolutions for 3D Point Cloud Understanding
Global Context Aware Convolutions for 3D Point Cloud UnderstandingInternational Conference on 3D Vision (3DV), 2020
Zhiyuan Zhang
Binh-Son Hua
Wei Chen
Yibin Tian
Sai-Kit Yeung
3DPC
220
48
0
07 Aug 2020
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks
Kirill Mazur
Victor Lempitsky
3DPC
344
47
0
22 Jul 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
F. Fuchs
Daniel E. Worrall
Volker Fischer
Max Welling
3DPC
477
806
0
18 Jun 2020
Holistic Parameteric Reconstruction of Building Models from Point Clouds
Holistic Parameteric Reconstruction of Building Models from Point Clouds
Zhixin Li
Wenyuan Zhang
J. Shan
3DPC
74
6
0
19 May 2020
Dense-Resolution Network for Point Cloud Classification and Segmentation
Dense-Resolution Network for Point Cloud Classification and Segmentation
Shi Qiu
Saeed Anwar
Nick Barnes
3DPC
197
108
0
14 May 2020
Joint Supervised and Self-Supervised Learning for 3D Real-World
  Challenges
Joint Supervised and Self-Supervised Learning for 3D Real-World ChallengesInternational Conference on Pattern Recognition (ICPR), 2020
A. Alliegro
Davide Boscaini
Tatiana Tommasi
3DPCSSL
153
43
0
15 Apr 2020
Global-Local Bidirectional Reasoning for Unsupervised Representation
  Learning of 3D Point Clouds
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point CloudsComputer Vision and Pattern Recognition (CVPR), 2020
Yongming Rao
Jiwen Lu
Jie Zhou
3DPC
142
144
0
29 Mar 2020
A Rotation-Invariant Framework for Deep Point Cloud Analysis
A Rotation-Invariant Framework for Deep Point Cloud AnalysisIEEE Transactions on Visualization and Computer Graphics (TVCG), 2020
Xianzhi Li
Ruihui Li
Guangyong Chen
Chi-Wing Fu
Daniel Cohen-Or
Pheng-Ann Heng
3DPC
277
118
0
16 Mar 2020
Triangle-Net: Towards Robustness in Point Cloud Learning
Triangle-Net: Towards Robustness in Point Cloud LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Chenxi Xiao
J. Wachs
3DH3DPC
186
37
0
27 Feb 2020
Review: deep learning on 3D point clouds
Review: deep learning on 3D point cloudsRemote Sensing (RS), 2020
Saifullahi Aminu Bello
Shangshu Yu
Cheng-Yu Wang
3DPC
177
274
0
17 Jan 2020
Deep Learning for 3D Point Clouds: A Survey
Deep Learning for 3D Point Clouds: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Yulan Guo
Hanyun Wang
Qingyong Hu
Hao Liu
Tianpeng Liu
Bennamoun
3DPC
417
1,976
0
27 Dec 2019
Latent-Space Laplacian Pyramids for Adversarial Representation Learning
  with 3D Point Clouds
Latent-Space Laplacian Pyramids for Adversarial Representation Learning with 3D Point CloudsVISIGRAPP (VISIGRAPP), 2019
Vage Egiazarian
Savva Ignatyev
Alexey Artemov
Oleg Voynov
A. Kravchenko
Youyi Zheng
Luiz Velho
Evgeny Burnaev
3DPC
131
8
0
13 Dec 2019
Bonn Activity Maps: Dataset Description
Bonn Activity Maps: Dataset Description
Julian Tanke
Oh-Hun Kwon
P. Stotko
R. Rosu
Michael Weinmann
...
Maren Bennewitz
Reinhard Klein
A. Weber
Angela Yao
Juergen Gall
119
7
0
13 Dec 2019
Geometric Back-projection Network for Point Cloud Classification
Geometric Back-projection Network for Point Cloud Classification
S. Qiu
Saeed Anwar
Nick Barnes
3DPC
167
4
0
28 Nov 2019
Rotation Invariant Point Cloud Classification: Where Local Geometry
  Meets Global Topology
Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology
Chenchen Zhao
Jiaqi Yang
Xin Xiong
Angfan Zhu
Zhiguo Cao
Xin Li
3DPC
343
32
0
01 Nov 2019
Previous
123...1089