{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T16:21:09Z","timestamp":1776529269124,"version":"3.51.2"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&D project of China","award":["2019YFF0302903"],"award-info":[{"award-number":["2019YFF0302903"]}]},{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["19L2053"],"award-info":[{"award-number":["19L2053"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972009"],"award-info":[{"award-number":["61972009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tmm.2021.3068606","type":"journal-article","created":{"date-parts":[[2021,3,26]],"date-time":"2021-03-26T19:36:51Z","timestamp":1616787411000},"page":"3022-3034","source":"Crossref","is-referenced-by-count":16,"title":["Dynamic Point Cloud Inpainting via Spatial-Temporal Graph Learning"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0641-4696","authenticated-orcid":false,"given":"Zeqing","family":"Fu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9860-0922","authenticated-orcid":false,"given":"Wei","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2018.2820126"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2238935"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351170"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301922"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-30493-5_59"},{"key":"ref30","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v32i1.12328","article-title":"Spatial temporal graph convolutional networks for skeleton-based action recognition","author":"yan","year":"2018"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2235192"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1090\/cbms\/092"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2628354"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5438"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952672"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098037"},{"key":"ref29","article-title":"Time-varying graph learning with constraints on graph temporal variation","author":"yamada","year":"2020"},{"key":"ref2","article-title":"HHI point cloud dataset of a boxing trainer","author":"ebner","year":"2018"},{"key":"ref1","article-title":"Use cases for point cloud compression (pcc","author":"tulvan","year":"2016"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2651400"},{"key":"ref22","first-page":"5329","article-title":"A scattered point set hole-filling method based on boundary extension and convergence","author":"wu","year":"2015","journal-title":"Proc Conf Intell Control Autom"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2012.6238908"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2018.2887284"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2016.05.007"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.2978617"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2018.2890143"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICMEW.2017.8026263"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2961429"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296925"},{"key":"ref57","article-title":"Microsoft voxelized upper bodies - voxelized point cloud dataset","author":"cai","year":"2016"},{"key":"ref56","article-title":"8i voxelized full bodies, version 2 - a voxelized point cloud dataset","author":"d\u2019eon","year":"2017"},{"key":"ref55","first-page":"129","article-title":"Meshlab: An open-source mesh processing tool","author":"cignoni","year":"2008","journal-title":"Eurographics Italian Chapter Conference"},{"key":"ref54","first-page":"33","article-title":"Scalable training of l1-regularized log-linear models","author":"andrew","year":"2007","journal-title":"Proc 24th Int Conf Mach Learn"},{"key":"ref53","article-title":"Cvx Users” guide","author":"grant","year":"2011"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-73510-6_2"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2005.12.006"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-015-7185-0"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/PCS.2010.5702565"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2336548"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2015.2408631"},{"key":"ref14","first-page":"402","article-title":"Feature preserving holes filling of scattered point cloud based on tensor voting","author":"lin","year":"2017","journal-title":"Proc IEEE Int Conf Signal Image Process"},{"key":"ref15","first-page":"65","article-title":"An automatic hole filling method of point cloud for 3d scanning","author":"muraki","year":"2017","journal-title":"Proc 25th Int Conf Central Europe Comput Graphics Visual Comput Vis"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451550"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2906554"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803497"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICME46284.2020.9102861"},{"key":"ref4","first-page":"101","article-title":"Harnessing self-similarity for reconstruction of large missing regions in 3D models","author":"sahay","year":"2012","journal-title":"Proc Int Conf Pattern Recognit"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-39422-8_14"},{"key":"ref6","first-page":"1","article-title":"Framework for 3D object hole filling","author":"shankar","year":"2015","journal-title":"Proc 5th Nat Conf Comput Vis Pattern Recognit Image Process Graph"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2015.7301388"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/VCIP.2017.8305070"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1007\/s00138-017-0886-7","article-title":"Example-based 3d inpainting of point clouds using metric tensor and christoffel symbols","volume":"29","author":"shankar","year":"2018","journal-title":"Mach Vis Appl"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3016894"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2831621"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2002.1047997"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/34.121791"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2529506"},{"key":"ref47","first-page":"778","article-title":"Real-time compression of point cloud streams","author":"julius","year":"2012","journal-title":"Proc IEEE Int Conf Robot Automat"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2378055"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2012.6467105"},{"key":"ref44","article-title":"Spectral graph theory and its applications","author":"spielman","year":"2004"},{"key":"ref43","article-title":"Graph signal processing for geometric data and beyond: Theory and applications","author":"hu","year":"2020"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/9296985\/09387609.pdf?arnumber=9387609","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,22]],"date-time":"2022-12-22T15:53:40Z","timestamp":1671724420000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9387609\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":58,"URL":"https:\/\/doi.org\/10.1109\/tmm.2021.3068606","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}