Openly accessible

Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data

Uy, Mikaela Angelina, Pham, Quang-Hieu, Hua, Binh-Son, Nguyen, Duc Thanh and Yeung, Sai-Kat 2019, Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data, in ICCV 2019 : Proceedings of the 2019 IEEE International Conference on Computer Vision, IEEE, Piscataway, N.J., pp. 1588-1597.

Attached Files
Name Description MIMEType Size Downloads

Title Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data
Author(s) Uy, Mikaela Angelina
Pham, Quang-Hieu
Hua, Binh-Son
Nguyen, Duc ThanhORCID iD for Nguyen, Duc Thanh orcid.org/0000-0002-2285-2066
Yeung, Sai-Kat
Conference name IEEE International Conference on Computer Vision (2019 : Seoul, Korea)
Conference location Seoul, Korea
Conference dates 2019/10/27 - 2019/11/02
Title of proceedings ICCV 2019 : Proceedings of the 2019 IEEE International Conference on Computer Vision
Publication date 2019
Start page 1588
End page 1597
Total pages 10
Publisher IEEE
Place of publication Piscataway, N.J.
Language eng
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30128294

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 8 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 87 Abstract Views, 4 File Downloads  -  Detailed Statistics
Created: Wed, 06 Nov 2019, 09:31:13 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.