{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:03:46Z","timestamp":1740099826741,"version":"3.37.3"},"reference-count":40,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,9,3]],"date-time":"2020-09-03T00:00:00Z","timestamp":1599091200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,9,3]],"date-time":"2020-09-03T00:00:00Z","timestamp":1599091200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,9,3]],"date-time":"2020-09-03T00:00:00Z","timestamp":1599091200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100010002","name":"Ministry of Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,9,3]]},"DOI":"10.1109\/iccp51029.2020.9266204","type":"proceedings-article","created":{"date-parts":[[2020,11,26]],"date-time":"2020-11-26T21:23:22Z","timestamp":1606425802000},"page":"377-382","source":"Crossref","is-referenced-by-count":0,"title":["Efficient spatio-temporal point convolution"],"prefix":"10.1109","author":[{"given":"Bogdan","family":"Maxim","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sergiu","family":"Nedevschi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref39","DOI":"10.1109\/CVPR.2019.00459"},{"doi-asserted-by":"publisher","key":"ref38","DOI":"10.1109\/CVPR.2019.00319"},{"doi-asserted-by":"publisher","key":"ref33","DOI":"10.1145\/3326362"},{"doi-asserted-by":"publisher","key":"ref32","DOI":"10.1109\/CVPR.2017.11"},{"doi-asserted-by":"publisher","key":"ref31","DOI":"10.1145\/3272127.3275110"},{"doi-asserted-by":"publisher","key":"ref30","DOI":"10.1109\/CVPR.2018.00409"},{"doi-asserted-by":"publisher","key":"ref37","DOI":"10.1109\/WACV.2019.00121"},{"key":"ref36","first-page":"213","article-title":"Fusenet: Incorporating depth into semantic segmentation via fusion-based cnn architecture","author":"hazirbas","year":"2016","journal-title":"Asian Conference on Computer Vision Springer"},{"doi-asserted-by":"publisher","key":"ref35","DOI":"10.1007\/978-3-030-01237-3_6"},{"doi-asserted-by":"publisher","key":"ref34","DOI":"10.1109\/CVPR.2019.00985"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1109\/CVPR.2018.00272"},{"key":"ref40","article-title":"The Replica dataset: A digital replica of indoor spaces","author":"straub","year":"2019","journal-title":"arXiv preprint arXiv 1906 03008"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1109\/CVPR.2019.00407"},{"key":"ref12","first-page":"5648","article-title":"Volumetric and multi-view cnns for object classification on 3d data","author":"qi","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1109\/ICCV.2015.114"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1109\/ICRA.2014.6907236"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1109\/CVPR.2013.178"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1016\/j.jvcir.2013.02.008"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.15607\/RSS.2017.XIII.013"},{"key":"ref18","article-title":"Flex-convolution (millionscale point-cloud learning beyond grid-worlds)","author":"groh","year":"2018","journal-title":"arXiv preprint arXiv 1803 07289"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1109\/IROS.2015.7353481"},{"key":"ref28","first-page":"5099","article-title":"Pointnet++: Deep hierarchical feature learning on point sets in a metric space","author":"qi","year":"2017","journal-title":"Advances in neural information processing systems"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1109\/CVPR.2019.00455"},{"key":"ref27","first-page":"820","article-title":"Pointcnn: Convolution on x-transformed points","author":"li","year":"2018","journal-title":"Advances in neural information processing systems"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1007\/978-3-030-01249-6_28"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1109\/CVPR.2017.261"},{"doi-asserted-by":"publisher","key":"ref29","DOI":"10.1109\/CVPR.2018.00268"},{"key":"ref5","first-page":"4534","article-title":"Fusion-aware point convolution for online semantic 3d scene segmentation","author":"zhang","year":"2020","journal-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1109\/IROS.2017.8202213"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/ICRA.2014.6907298"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1109\/ICRA.2017.7989538"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1109\/CVPR.2018.00961"},{"key":"ref1","first-page":"4","article-title":"Deep learning on point sets for 3d classification and segmentation","volume":"1","author":"qi","year":"2017","journal-title":"Proc Comput Vis Pattern Recog (CVPR)"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1109\/ICCVW.2019.00123"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1109\/IROS40897.2019.8967762"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1109\/LRA.2020.3007440"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1109\/CVPR.2017.701"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1109\/ICCV.2017.99"},{"key":"ref26","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"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.1145\/3197517.3201301"}],"event":{"name":"2020 IEEE 16th International Conference on Intelligent Computer Communication and Processing (ICCP)","start":{"date-parts":[[2020,9,3]]},"location":"Cluj-Napoca, Romania","end":{"date-parts":[[2020,9,5]]}},"container-title":["2020 IEEE 16th International Conference on Intelligent Computer Communication and Processing (ICCP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9266025\/9266027\/09266204.pdf?arnumber=9266204","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:17:20Z","timestamp":1656375440000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9266204\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,3]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/iccp51029.2020.9266204","relation":{},"subject":[],"published":{"date-parts":[[2020,9,3]]}}}