{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T18:37:22Z","timestamp":1783967842007,"version":"3.55.0"},"reference-count":62,"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":"Major Project for New Generation of AI","award":["2018AAA0100400"],"award-info":[{"award-number":["2018AAA0100400"]}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["61620106008"],"award-info":[{"award-number":["61620106008"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006606","name":"Tianjin Natural Science Foundation","doi-asserted-by":"publisher","award":["17JCJQJC43700"],"award-info":[{"award-number":["17JCJQJC43700"]}],"id":[{"id":"10.13039\/501100006606","id-type":"DOI","asserted-by":"publisher"}]},{"name":"S&T Innovation Project from Chinese Ministry of Education"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tip.2021.3049332","type":"journal-article","created":{"date-parts":[[2021,1,22]],"date-time":"2021-01-22T23:00:39Z","timestamp":1611356439000},"page":"2313-2324","source":"Crossref","is-referenced-by-count":174,"title":["Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1165-3846","authenticated-orcid":false,"given":"Lin-Zhuo","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheng","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ziqin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8071-5756","authenticated-orcid":false,"given":"Yong-Liang","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5550-8758","authenticated-orcid":false,"given":"Ming-Ming","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","article-title":"LSANet: Feature learning on point sets by local spatial aware layer","author":"chen","year":"2019","journal-title":"arXiv 1905 05442"},{"key":"ref38","first-page":"5099","article-title":"Pointnet++: Deep hierarchical feature learning on point sets in a metric space","author":"qi","year":"2017","journal-title":"Proc Adv Neural Inform Process Syst"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803025"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-020-0173-9"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00388"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2962685"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.16"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.556"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.94"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.28"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref62","article-title":"RedNet: Residual encoder-decoder network for indoor RGB-D semantic segmentation","author":"jiang","year":"2018","journal-title":"arXiv 1806 01054"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.178"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00254"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2860039"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_25"},{"key":"ref20","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inform Process Syst"},{"key":"ref22","first-page":"1","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2016","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref21","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2878975"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00692"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_49"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.549"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00423"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.757"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00909"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00060"},{"key":"ref53","first-page":"667","article-title":"Dynamic filter networks","author":"jia","year":"2016","journal-title":"Proc Adv Neural Inform Process Syst"},{"key":"ref52","first-page":"2017","article-title":"Spatial transformer networks","author":"jaderberg","year":"2015","journal-title":"Proc Adv Neural Inform Process Syst"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_40"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10584-0_23"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_6"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_34"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.89"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00953"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-019-0149-9"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_9"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33715-4_54"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298655"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-4640-7_8"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.533"},{"key":"ref5","article-title":"Autonomous learning of semantic segmentation from Internet images","author":"hou","year":"2021","journal-title":"Sci Sinica Inf"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8202213"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.304"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.579"},{"key":"ref9","first-page":"213","article-title":"FuseNet: Incorporating depth into semantic segmentation via fusion-based CNN architecture","author":"hazirbas","year":"2016","journal-title":"Proc Asian Conf Comput Vis"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00298"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.147"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.96"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298897"},{"key":"ref42","first-page":"828","article-title":"PointCNN: Convolution on x-transformed points","author":"li","year":"2018","journal-title":"Proc Adv Neural Inform Process Syst"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_4"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.161"},{"key":"ref43","first-page":"1000","article-title":"Learning depth-guided convolutions for monocular 3D object detection","author":"ng","year":"2020","journal-title":"Proc IEEE\/CVF Conf Comput Vis Pattern Recognit Workshops (CVPRW)"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9263394\/09334408.pdf?arnumber=9334408","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:06Z","timestamp":1652194206000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9334408\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":62,"URL":"https:\/\/doi.org\/10.1109\/tip.2021.3049332","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}