{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T23:16:20Z","timestamp":1776122180657,"version":"3.50.1"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,27]],"date-time":"2021-09-27T00:00:00Z","timestamp":1632700800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,9,27]],"date-time":"2021-09-27T00:00:00Z","timestamp":1632700800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,27]],"date-time":"2021-09-27T00:00:00Z","timestamp":1632700800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,27]]},"DOI":"10.1109\/iros51168.2021.9636483","type":"proceedings-article","created":{"date-parts":[[2021,12,16]],"date-time":"2021-12-16T20:45:38Z","timestamp":1639687538000},"page":"5657-5663","source":"Crossref","is-referenced-by-count":25,"title":["PCTMA-Net: Point Cloud Transformer with Morphing Atlas-based Point Generation Network for Dense Point Cloud Completion"],"prefix":"10.1109","author":[{"given":"Jianjie","family":"Lin","sequence":"first","affiliation":[]},{"given":"Markus","family":"Rickert","sequence":"additional","affiliation":[]},{"given":"Alexander","family":"Perzylo","sequence":"additional","affiliation":[]},{"given":"Alois","family":"Knoll","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","author":"dosovitskiy","year":"2020","journal-title":"An image is worth 16x16 words Transformers for image recognition at scale"},{"key":"ref11","author":"guo","year":"2020","journal-title":"Pct Point cloud transformer"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.86"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00506"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.693"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.19"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-1126-y"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58545-7_21"},{"key":"ref18","first-page":"5105","article-title":"PointNet++: Deep hierarchical feature learning on point sets in a metric space","author":"qi","year":"2017","journal-title":"Proc of International Conference on Neural Information Processing"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3326362"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CASE49439.2021.9551451"},{"key":"ref27","article-title":"ShapeNet: An information-rich 3D model repository","volume":"abs 1512 3012","author":"chang","year":"2015","journal-title":"CoRR"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8206060"},{"key":"ref6","article-title":"AtlasNet: A papier-mâché approach to learning 3D surface generation","author":"groueix","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00047"},{"key":"ref8","first-page":"652","article-title":"PointNet: Deep learning on point sets for 3D classification and segmentation","author":"qi","year":"2017","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00029"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341189"},{"key":"ref9","article-title":"Attention is all you need","volume":"30","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2016.2624754"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2018.00088"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00201"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00605"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.264"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00768"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"ref25","first-page":"40","article-title":"Learning representations and generative models for 3D point clouds","author":"achlioptas","year":"2018","journal-title":"Proceedings of the International Conference on Machine Learning"}],"event":{"name":"2021 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","location":"Prague, Czech Republic","start":{"date-parts":[[2021,9,27]]},"end":{"date-parts":[[2021,10,1]]}},"container-title":["2021 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9635848\/9635849\/09636483.pdf?arnumber=9636483","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:54:44Z","timestamp":1652201684000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9636483\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,27]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/iros51168.2021.9636483","relation":{},"subject":[],"published":{"date-parts":[[2021,9,27]]}}}