{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T02:58:35Z","timestamp":1784689115975,"version":"3.55.0"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100002427","name":"Ford Motor Company","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100002427","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Ford-UM Alliance","award":["N022884"],"award-info":[{"award-number":["N022884"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2019,4]]},"DOI":"10.1109\/lra.2019.2894913","type":"journal-article","created":{"date-parts":[[2019,1,24]],"date-time":"2019-01-24T00:28:10Z","timestamp":1548289690000},"page":"1162-1169","source":"Crossref","is-referenced-by-count":61,"title":["DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation From Stereo Imagery"],"prefix":"10.1109","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9603-0081","authenticated-orcid":false,"given":"Junming","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katherine A.","family":"Skinner","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ram","family":"Vasudevan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0506-907X","authenticated-orcid":false,"given":"Matthew","family":"Johnson-Roberson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532634"},{"key":"ref10","first-page":"2811","article-title":"Learning for disparity estimation through feature constancy","author":"liang","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298925"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref15","first-page":"740","article-title":"Microsoft COCO: Common objects in context","author":"lin","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2013.2291685"},{"key":"ref18","first-page":"2287","article-title":"Stereo matching by training a convolutional neural network to compare image patches","volume":"17","author":"zbontar","year":"2016","journal-title":"J Mach Learn Res"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.614"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1166"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299044"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.1991.131738"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.316"},{"key":"ref29","article-title":"A method for stochastic optimization","author":"kinga","year":"0","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.438"},{"key":"ref8","first-page":"636","article-title":"Segstereo: Exploiting semantic information for disparity estimation","author":"yang","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.17"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1117\/1.2711817"},{"key":"ref9","first-page":"5410","article-title":"Pyramid stereo matching network","author":"chang","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2011.6131174"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.108"},{"key":"ref22","first-page":"740","article-title":"Unsupervised CNN for single view depth estimation: Geometry to the rescue","author":"garg","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.179"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.174"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.699"},{"key":"ref26","article-title":"Self-supervised learning for stereo matching with self-improving ability","author":"zhong","year":"2017"},{"key":"ref25","first-page":"746","article-title":"Unsupervised stereo matching with occlusion-aware loss","author":"luo","year":"0","journal-title":"Proc Pacific Rim Int Conf Artif Intell"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/8581687\/08624344.pdf?arnumber=8624344","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T20:56:05Z","timestamp":1657745765000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8624344\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4]]},"references-count":30,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/lra.2019.2894913","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,4]]}}}