{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T19:45:27Z","timestamp":1780343127587,"version":"3.54.1"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"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":["61772359"],"award-info":[{"award-number":["61772359"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61872267"],"award-info":[{"award-number":["61872267"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61702471"],"award-info":[{"award-number":["61702471"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Tianjin New Generation Artificial Intelligence Major Progam"},{"name":"Tianjin New Generation Artificial Intelligence Major Program","award":["18ZXZNGX00150"],"award-info":[{"award-number":["18ZXZNGX00150"]}]},{"name":"Open Project Program of the State Key Lab of CAD & CG, Zhejiang University","award":["A1907"],"award-info":[{"award-number":["A1907"]}]},{"name":"Elite Scholar Program of Tianjin University","award":["2019XRX-0035"],"award-info":[{"award-number":["2019XRX-0035"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1109\/tmm.2019.2943740","type":"journal-article","created":{"date-parts":[[2019,9,28]],"date-time":"2019-09-28T02:44:57Z","timestamp":1569638697000},"page":"1496-1506","source":"Crossref","is-referenced-by-count":72,"title":["Multi-View Saliency Guided Deep Neural Network for 3-D Object Retrieval and Classification"],"prefix":"10.1109","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9451-5600","authenticated-orcid":false,"given":"He-Yu","family":"Zhou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5755-9145","authenticated-orcid":false,"given":"An-An","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0578-8138","authenticated-orcid":false,"given":"Wei-Zhi","family":"Nie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Nie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"82","article-title":"Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling","author":"wu","year":"0","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/582415.582418"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7353481"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.543"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00526"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2540802"},{"key":"ref37","article-title":"Large-scale 3D shape retrieval from shapenet core55","author":"savva","year":"0","journal-title":"Proc Eurographics Workshop 3D Object Retrieval"},{"key":"ref36","article-title":"Shapenet: An information-rich 3d model repository","author":"chang","year":"2015"},{"key":"ref35","first-page":"1912","article-title":"3D shapenets: A deep representation for volumetric shapes","author":"wu","year":"0","journal-title":"Proc Conf Comput Vis Pattern Recognit"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2010.10.006"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/383259.383282"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.04.042"},{"key":"ref2","first-page":"37","article-title":"2D image-based 3D scene retrieval","author":"abdul-rashid","year":"0","journal-title":"Proc Eurographics Workshop 3D Object Retrieval"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2892004"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2664503"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1111\/1467-8659.00669"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/BF01421486"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2006.886359"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.04.034"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2661229.2661231"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.03.091"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2614132"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2540802"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2018.00068"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2013.2262760"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2199502"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.99"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727386"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247671"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15567-3_43"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2457676"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/BigMM.2015.66"},{"key":"ref4","article-title":"Large-scale 3D shape retrieval from ShapeNet Core55","author":"savva","year":"0","journal-title":"Proc Eurographics Workshop 3D Object Retrieval"},{"key":"ref3","first-page":"45","article-title":"RGB-D object-to-cad retrieval","author":"pham","year":"0","journal-title":"Proc Eurographics Workshop 3D Object Retrieval"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/S0923-5965(00)00019-9"},{"key":"ref5","first-page":"93","article-title":"Salient local visual features for shape-based 3d model retrieval","author":"ohbuchi","year":"0","journal-title":"Proc IEEE Int Conf Shape Model Appl"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.114"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.609"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2576919"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296956"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46466-4_14"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.414"},{"key":"ref47","article-title":"Exploiting the PANORAMA representation for convolutional neural network classification and retrieval","author":"sfikas","year":"0","journal-title":"Proc Eurographics Workshop 3D Object Retrieval"},{"key":"ref42","article-title":"3D-a-nets: 3d deep dense descriptor for volumetric shapes with adversarial networks","author":"ren","year":"2015"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.5244\/C.31.148"},{"key":"ref44","first-page":"5105","article-title":"Pointnet++: Deep hierarchical feature learning on point sets in a metric space","author":"qi","year":"0","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00218"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/9097818\/08851292.pdf?arnumber=8851292","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T15:56:13Z","timestamp":1651074973000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8851292\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6]]},"references-count":49,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tmm.2019.2943740","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,6]]}}}