{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T16:19:45Z","timestamp":1776529185872,"version":"3.51.2"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2018,7,1]],"date-time":"2018-07-01T00:00:00Z","timestamp":1530403200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"name":"Ministry of Trade, Industry & Energy and the Korea Evaluation Institute of Industrial Technology","award":["10060110"],"award-info":[{"award-number":["10060110"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2018,7]]},"DOI":"10.1109\/lra.2018.2801390","type":"journal-article","created":{"date-parts":[[2018,2,2]],"date-time":"2018-02-02T19:19:05Z","timestamp":1517599145000},"page":"1808-1815","source":"Crossref","is-referenced-by-count":44,"title":["RANUS: RGB and NIR Urban Scene Dataset for Deep Scene Parsing"],"prefix":"10.1109","volume":"3","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8608-2972","authenticated-orcid":false,"given":"Gyeongmin","family":"Choe","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2551-0157","authenticated-orcid":false,"given":"Seong-Heum","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sunghoon","family":"Im","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4822-855X","authenticated-orcid":false,"given":"Joon-Young","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Srinivasa G.","family":"Narasimhan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"In So","family":"Kweon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.147"},{"key":"ref32","first-page":"2103","article-title":"DASC: Dense adaptive self-correlation descriptor for multi-modal and multi-spectral correspondence","author":"kim","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1364\/AO.20.000533"},{"key":"ref30","article-title":"Reflected near-infrared waves","author":"directorate","year":"2010","journal-title":"Mission Sci"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1145\/1015706.1015720","article-title":"Grabcut: Interactive foreground extraction using iterated graph cuts","volume":"23","author":"rother","year":"2004","journal-title":"ACM Trans Graph"},{"key":"ref34","first-page":"1402","article-title":"A non-local cost aggregation method for stereo matching","author":"yang","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCPHOT.2015.7168367"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.229"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0937-y"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.269"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2013.6738487"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/1015706.1015780"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_35"},{"key":"ref17","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref18","first-page":"176","article-title":"Colouring the near-infrared","author":"fredembach","year":"0","journal-title":"Proc Color Imag Conf Final Program"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2015.7418282"},{"key":"ref4","article-title":"Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFS","author":"chen","year":"2016"},{"key":"ref28","article-title":"Deep residual learning for image recognition","author":"he","year":"2015"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_40"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.304"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2008.04.005"},{"key":"ref5","first-page":"740","article-title":"Microsoft COCO: Common objects in context","author":"lin","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref29","doi-asserted-by":"crossref","DOI":"10.2352\/CIC.2010.18.1.art00034","article-title":"Material-based object segmentation using near-infrared information","author":"salamati","year":"2010","journal-title":"Proc Color Imag Conf"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.119"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995637"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33868-7_46"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1117\/12.876494"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2016.0019"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10584-0_20"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.49"},{"key":"ref24","article-title":"Efficient inference in fully connected CRFS with Gaussian edge potentials","author":"koltun","year":"2011","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459175"},{"key":"ref26","article-title":"Semantic image segmentation with deep convolutional nets and fully connected CRFS","author":"chen","year":"2014"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.231"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/8302435\/08279453.pdf?arnumber=8279453","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,31]],"date-time":"2023-08-31T20:53:57Z","timestamp":1693515237000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8279453\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":36,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/lra.2018.2801390","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,7]]}}}