{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T16:19:54Z","timestamp":1775578794665,"version":"3.50.1"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62072126"],"award-info":[{"award-number":["62072126"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Fundamental Research Projects Jointly Funded"},{"name":"Guangzhou Council and Municipal Universities","award":["2024A03J0394"],"award-info":[{"award-number":["2024A03J0394"]}]},{"name":"Key Laboratory of Philosophy and Social Sciences in Guangdong Province of Maritime Silk Road of Guangzhou University","award":["GD22TWCXGC15"],"award-info":[{"award-number":["GD22TWCXGC15"]}]},{"name":"Aeronautical Science Foundation of China","award":["2022Z0710T5001"],"award-info":[{"award-number":["2022Z0710T5001"]}]},{"name":"Open Project Program of the State Key Lab of CAD&amp;CG, Zhejiang University","award":["A2304"],"award-info":[{"award-number":["A2304"]}]},{"name":"Hong Kong Polytechnic University","award":["P0048387"],"award-info":[{"award-number":["P0048387"]}]},{"name":"Hong Kong Polytechnic University","award":["P0042740"],"award-info":[{"award-number":["P0042740"]}]},{"name":"Hong Kong Polytechnic University","award":["P0044520"],"award-info":[{"award-number":["P0044520"]}]},{"name":"Hong Kong Polytechnic University","award":["P0043906"],"award-info":[{"award-number":["P0043906"]}]},{"name":"Hong Kong Polytechnic University","award":["P0049586"],"award-info":[{"award-number":["P0049586"]}]},{"name":"Hong Kong Polytechnic University","award":["P0050657"],"award-info":[{"award-number":["P0050657"]}]},{"name":"PolyU Research Institute for Sports Science and Technology","award":["P0044571"],"award-info":[{"award-number":["P0044571"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tmm.2024.3521706","type":"journal-article","created":{"date-parts":[[2024,12,27]],"date-time":"2024-12-27T19:23:57Z","timestamp":1735327437000},"page":"1432-1447","source":"Crossref","is-referenced-by-count":7,"title":["VGNet: Multimodal Feature Extraction and Fusion Network for 3D CAD Model Retrieval"],"prefix":"10.1109","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5036-9365","authenticated-orcid":false,"given":"Feiwei","family":"Qin","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"}]},{"given":"Gaoyang","family":"Zhan","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4292-8889","authenticated-orcid":false,"given":"Meie","family":"Fang","sequence":"additional","affiliation":[{"name":"Metaverse Research Institute, School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5451-7230","authenticated-orcid":false,"given":"C. L. Philip","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1503-0240","authenticated-orcid":false,"given":"Ping","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Computing, the School of Design, and the Research Institute for Sports Science and Technology, Hong Kong Polytechnic University, Hong Kong"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.advengsoft.2018.09.001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2652071"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3015554"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3507902"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3006371"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3160616"},{"key":"ref7","first-page":"35","volume-title":"CAD\/CAM: Computer-Aided Design and Manufacturing","author":"Groover","year":"1983"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298801"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073608"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.701"},{"key":"ref11","first-page":"652","article-title":"PointNet: Deep learning on point sets for 3D classification and segmentation","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","author":"Qi","year":"2017"},{"key":"ref12","first-page":"5105","article-title":"PointNet++: Deep hierarchical feature learning on point sets in a metric space","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Qi","year":"2017"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.99"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3326362"},{"key":"ref15","first-page":"828","article-title":"PointCNN: Convolution on X-transformed points","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Li","year":"2018"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2022.101803"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00095"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-023-02816-y"},{"key":"ref19","first-page":"28223","article-title":"Contrast with reconstruct: Contrastive 3D representation learning guided by generative pretraining","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Qi","year":"2023"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109509"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1111\/1467-8659.00669"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2170081"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/rs10050734"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.114"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00035"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.2967754"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/S0010-4485(01)00177-4"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/S0010-4485(01)00178-6"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01153"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.cad.2022.103226"},{"key":"ref31","article-title":"CAD 3D model classification by graph neural networks: A new approach based on STEP format","author":"Mandelli","year":"2022"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.cad.2010.07.002"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref34","article-title":"Industrial Automation Systems and IntegrationProduct Data Representation and Exchange  Part 111: Integrated Application Resource: Elements for the Procedural Modeling of Solid Shapes","year":"2007"},{"key":"ref35","article-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf","year":"2016"},{"key":"ref36","first-page":"1025","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Hamilton","year":"2017"},{"key":"ref37","article-title":"Edge contraction pooling for graph neural networks","author":"Diehl","year":"2019"},{"key":"ref38","first-page":"5453","article-title":"Representation learning on graphs with jumping knowledge networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Xu","year":"2018"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3202823"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1115\/1.4043211"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6046\/10844992\/10817582.pdf?arnumber=10817582","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,11]],"date-time":"2025-03-11T17:41:14Z","timestamp":1741714874000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10817582\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/tmm.2024.3521706","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}