No Cover Image

Journal article 640 views 63 downloads

A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape Collections

David George Orcid Logo, Xianghua Xie Orcid Logo, Yukun Lai, Gary Tam Orcid Logo

Computer-Aided Design, Volume: 144, Start page: 103179

Swansea University Authors: David George Orcid Logo, Xianghua Xie Orcid Logo, Gary Tam Orcid Logo

  • CAD_v2.pdf

    PDF | Accepted Manuscript

    ©2021 All rights reserved. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND)

    Download (6.22MB)
Published in: Computer-Aided Design
ISSN: 0010-4485
Published: Elsevier BV 2022
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa58880
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2021-12-31T17:11:22Z
last_indexed 2023-01-11T14:39:46Z
id cronfa58880
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2022-10-31T13:55:29.7691668</datestamp><bib-version>v2</bib-version><id>58880</id><entry>2021-12-02</entry><title>A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape Collections</title><swanseaauthors><author><sid>589852950a34dca85d753df9ebdb8e14</sid><ORCID>NULL</ORCID><firstname>David</firstname><surname>George</surname><name>David George</name><active>true</active><ethesisStudent>true</ethesisStudent></author><author><sid>b334d40963c7a2f435f06d2c26c74e11</sid><ORCID>0000-0002-2701-8660</ORCID><firstname>Xianghua</firstname><surname>Xie</surname><name>Xianghua Xie</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>e75a68e11a20e5f1da94ee6e28ff5e76</sid><ORCID>0000-0001-7387-5180</ORCID><firstname>Gary</firstname><surname>Tam</surname><name>Gary Tam</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2021-12-02</date><abstract/><type>Journal Article</type><journal>Computer-Aided Design</journal><volume>144</volume><journalNumber/><paginationStart>103179</paginationStart><paginationEnd/><publisher>Elsevier BV</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0010-4485</issnPrint><issnElectronic/><keywords>Shape segmentation; Active learning; Shape collections; User interaction</keywords><publishedDay>1</publishedDay><publishedMonth>3</publishedMonth><publishedYear>2022</publishedYear><publishedDate>2022-03-01</publishedDate><doi>10.1016/j.cad.2021.103179</doi><url/><notes/><college>COLLEGE NANME</college><department>Computer Science</department><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><apcterm/><funders>PhD Studentship from the Engineering and Physical Sciences Research Council, UK (EPSRC DTA: Ep/M506424/1, Ep/L504865/1)</funders><projectreference/><lastEdited>2022-10-31T13:55:29.7691668</lastEdited><Created>2021-12-02T19:24:31.9849113</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>David</firstname><surname>George</surname><orcid>NULL</orcid><order>1</order></author><author><firstname>Xianghua</firstname><surname>Xie</surname><orcid>0000-0002-2701-8660</orcid><order>2</order></author><author><firstname>Yukun</firstname><surname>Lai</surname><order>3</order></author><author><firstname>Gary</firstname><surname>Tam</surname><orcid>0000-0001-7387-5180</orcid><order>4</order></author></authors><documents><document><filename>58880__21776__b30db2cc9a734b9ba1747303f37fecb0.pdf</filename><originalFilename>CAD_v2.pdf</originalFilename><uploaded>2021-12-02T19:28:26.3076962</uploaded><type>Output</type><contentLength>6519178</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><embargoDate>2022-12-14T00:00:00.0000000</embargoDate><documentNotes>&#xA9;2021 All rights reserved. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND)</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by-nc-nd/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2022-10-31T13:55:29.7691668 v2 58880 2021-12-02 A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape Collections 589852950a34dca85d753df9ebdb8e14 NULL David George David George true true b334d40963c7a2f435f06d2c26c74e11 0000-0002-2701-8660 Xianghua Xie Xianghua Xie true false e75a68e11a20e5f1da94ee6e28ff5e76 0000-0001-7387-5180 Gary Tam Gary Tam true false 2021-12-02 Journal Article Computer-Aided Design 144 103179 Elsevier BV 0010-4485 Shape segmentation; Active learning; Shape collections; User interaction 1 3 2022 2022-03-01 10.1016/j.cad.2021.103179 COLLEGE NANME Computer Science COLLEGE CODE Swansea University PhD Studentship from the Engineering and Physical Sciences Research Council, UK (EPSRC DTA: Ep/M506424/1, Ep/L504865/1) 2022-10-31T13:55:29.7691668 2021-12-02T19:24:31.9849113 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science David George NULL 1 Xianghua Xie 0000-0002-2701-8660 2 Yukun Lai 3 Gary Tam 0000-0001-7387-5180 4 58880__21776__b30db2cc9a734b9ba1747303f37fecb0.pdf CAD_v2.pdf 2021-12-02T19:28:26.3076962 Output 6519178 application/pdf Accepted Manuscript true 2022-12-14T00:00:00.0000000 ©2021 All rights reserved. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND) true eng https://creativecommons.org/licenses/by-nc-nd/4.0/
title A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape Collections
spellingShingle A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape Collections
David George
Xianghua Xie
Gary Tam
title_short A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape Collections
title_full A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape Collections
title_fullStr A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape Collections
title_full_unstemmed A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape Collections
title_sort A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape Collections
author_id_str_mv 589852950a34dca85d753df9ebdb8e14
b334d40963c7a2f435f06d2c26c74e11
e75a68e11a20e5f1da94ee6e28ff5e76
author_id_fullname_str_mv 589852950a34dca85d753df9ebdb8e14_***_David George
b334d40963c7a2f435f06d2c26c74e11_***_Xianghua Xie
e75a68e11a20e5f1da94ee6e28ff5e76_***_Gary Tam
author David George
Xianghua Xie
Gary Tam
author2 David George
Xianghua Xie
Yukun Lai
Gary Tam
format Journal article
container_title Computer-Aided Design
container_volume 144
container_start_page 103179
publishDate 2022
institution Swansea University
issn 0010-4485
doi_str_mv 10.1016/j.cad.2021.103179
publisher Elsevier BV
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
active_str 0
published_date 2022-03-01T04:15:45Z
_version_ 1763754058136420352
score 11.013216