{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T10:49:50Z","timestamp":1761648590321,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"DOI":"10.1109\/icme.2018.8486479","type":"proceedings-article","created":{"date-parts":[[2018,10,11]],"date-time":"2018-10-11T22:34:18Z","timestamp":1539297258000},"page":"1-6","source":"Crossref","is-referenced-by-count":6,"title":["Deep Point Convolutional Approach for 3D Model Retrieval"],"prefix":"10.1109","author":[{"given":"Zhenzhong","family":"Kuang","sequence":"first","affiliation":[]},{"given":"Jun","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Jianping","family":"Fan","sequence":"additional","affiliation":[]},{"given":"Min","family":"Tan","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"Laplace-beltrami eigenfunctions for deformation invariant shape representation","author":"rustamov","year":"2007","journal-title":"SGP"},{"key":"ref11","article-title":"Retrieval of 3D articulated objects using a graph-based representation","author":"agathos","year":"2009","journal-title":"3DOR"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2009.01515.x"},{"key":"ref13","article-title":"Bag of words and local spectral descriptor for 3D partial shape retrieval","author":"laga","year":"2011","journal-title":"3DOR"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.cad.2014.08.004"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2336697"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2591583"},{"key":"ref17","article-title":"3D shapenets: A deep representation for volumetric shapes","author":"wu","year":"2015","journal-title":"CVPR"},{"key":"ref18","article-title":"Deep learning with geodesic moments for 3D shape classification","author":"luciano","year":"2017","journal-title":"Pattern Recognition Letters"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.06.088"},{"key":"ref4","article-title":"Shrec&#x2019; 15 track: Nonrigid 3D shape retrieval","author":"lian","year":"2015","journal-title":"3DOR"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-011-5273-4"},{"key":"ref3","article-title":"Shrec&#x2019; 10 track: Non-rigid 3D shape retrieval","author":"lian","year":"2010","journal-title":"3DOR"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2596722"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1016\/j.cag.2014.09.033","article-title":"Modal function transformation for isometric 3D shape representation","volume":"46","author":"kuang","year":"2015","journal-title":"Computers & Graphics"},{"key":"ref8","article-title":"Pointnet: Deep learning on point sets for 3D classification and segmentation","author":"qi","year":"2017","journal-title":"CVPR"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.609"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.07.014"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/571647.571648"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1899404.1899405","article-title":"Shape google: Geometric words and expressions for invariant shape retrieval","volume":"30","author":"bronstein","year":"2011","journal-title":"ACM Transactions on Graphics"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12693"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2006.04.006"},{"key":"ref21","article-title":"Heat diffusion long-short term memory learning for 3D shape analysis","author":"zhu","year":"2016","journal-title":"ECCV"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1044"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.202"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.cad.2005.10.011"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.01.027"}],"event":{"name":"2018 IEEE International Conference on Multimedia and Expo (ICME)","start":{"date-parts":[[2018,7,23]]},"location":"San Diego, CA","end":{"date-parts":[[2018,7,27]]}},"container-title":["2018 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8472825\/8486434\/08486479.pdf?arnumber=8486479","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T16:14:51Z","timestamp":1643213691000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8486479\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/icme.2018.8486479","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}