{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T20:10:21Z","timestamp":1770754221790,"version":"3.50.0"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Google Cloud"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Signal Process."],"published-print":{"date-parts":[[2021,2]]},"DOI":"10.1109\/jstsp.2020.3047471","type":"journal-article","created":{"date-parts":[[2020,12,25]],"date-time":"2020-12-25T21:29:41Z","timestamp":1608931781000},"page":"402-414","source":"Crossref","is-referenced-by-count":39,"title":["Learning Robust Graph-Convolutional Representations for Point Cloud Denoising"],"prefix":"10.1109","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9372-032X","authenticated-orcid":false,"given":"Francesca","family":"Pistilli","sequence":"first","affiliation":[{"name":"Politecnico di Torino - Department of Electronics, and Telecommunications, Torino, TO, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8495-1097","authenticated-orcid":false,"given":"Giulia","family":"Fracastoro","sequence":"additional","affiliation":[{"name":"Politecnico di Torino - Department of Electronics, and Telecommunications, Torino, TO, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1997-2910","authenticated-orcid":false,"given":"Diego","family":"Valsesia","sequence":"additional","affiliation":[{"name":"Politecnico di Torino - Department of Electronics, and Telecommunications, Torino, TO, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0901-0251","authenticated-orcid":false,"given":"Enrico","family":"Magli","sequence":"additional","affiliation":[{"name":"Politecnico di Torino - Department of Electronics, and Telecommunications, Torino, TO, Italy"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413727"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13344"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13068"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.cagd.2015.03.011"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/1857907.1857911"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.cagd.2004.09.004"},{"key":"ref37","first-page":"52","article-title":"Total denoising: Unsupervised learning of 3D point cloud cleaning","author":"hermosilla","year":"0","journal-title":"Proc IEEE Int Conf Comput Vis"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/3DTV.2015.7169366"},{"key":"ref35","article-title":"3D point cloud denoising via bipartite graph approximation and reweighted graph laplacian","author":"dinesh","year":"2018"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2961429"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/1275808.1276405"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/1275808.1276406"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/2421636.2421645"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2693418"},{"key":"ref1","first-page":"652","article-title":"Pointnet: Deep learning on point sets for 3D classification and segmentation","author":"qi","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00275"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01054"},{"key":"ref21","article-title":"How powerful are graph neural networks","author":"xu","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3013166"},{"key":"ref23","article-title":"Principal neighbourhood aggregation for graph nets","author":"corso","year":"2020"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2009.01388.x"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2003.1175093"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2662206"},{"key":"ref11","first-page":"1673","article-title":"Non-local recurrent network for image restoration","author":"liu","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2017.05.009"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/nbt.3300"},{"key":"ref13","first-page":"2224","article-title":"Convolutional networks on graphs for learning molecular fingerprints","author":"duvenaud","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref14","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"0","journal-title":"Proc Int Conf Learn Representation (ICLR)"},{"key":"ref15","article-title":"Deep convolutional networks on graph-structured data","author":"henaff","year":"2015"},{"key":"ref16","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","author":"defferrard","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.576"},{"key":"ref18","article-title":"Graph attention networks","author":"velikovi","year":"0","journal-title":"Proc Int Conf Learn Representation (ICLR)"},{"key":"ref19","first-page":"1024","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3326362"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.11"},{"key":"ref6","article-title":"Learning localized generative models for 3D point clouds via graph convolution","author":"valsesia","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00202"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682812"},{"key":"ref7","article-title":"POINTCLEANNET: Learning to Denoise and Remove Outliers From Dense Point Clouds, in Computer Graphics Forum","author":"rakotosaona","year":"2019"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247952"},{"key":"ref9","article-title":"Learning Graph-Convolutional Representations for Point Cloud Denoising","author":"pistilli","year":"0","journal-title":"Proc ECCV"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24031-7_20"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296925"},{"key":"ref48","article-title":"Point cloud noise and outlier removal for image-based 3\ufffdd reconstruction","author":"wolff","year":"0","journal-title":"Proc Int Conf 3D Vis"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.1996.517097"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2008.08.005"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2235192"},{"key":"ref44","article-title":"MeshLab: An open-source mesh processing tool","author":"cignoni","year":"0","journal-title":"Proc Eurographics Ital Chapter Conf"},{"key":"ref43","article-title":"ShapeNet: An information-rich 3D model repository","author":"chang","year":"2015"}],"container-title":["IEEE Journal of Selected Topics in Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4200690\/9359898\/09309029.pdf?arnumber=9309029","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:52:46Z","timestamp":1652194366000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9309029\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2]]},"references-count":49,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/jstsp.2020.3047471","relation":{},"ISSN":["1932-4553","1941-0484"],"issn-type":[{"value":"1932-4553","type":"print"},{"value":"1941-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2]]}}}