{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T16:14:35Z","timestamp":1782317675985,"version":"3.54.5"},"reference-count":38,"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\/100000006","name":"Office of Naval Research","doi-asserted-by":"publisher","award":["N00014-17-1-2072"],"award-info":[{"award-number":["N00014-17-1-2072"]}],"id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000183","name":"Army Research Office","doi-asserted-by":"publisher","award":["W911NF-17-1-0304"],"award-info":[{"award-number":["W911NF-17-1-0304"]}],"id":[{"id":"10.13039\/100000183","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2019,4]]},"DOI":"10.1109\/lra.2019.2896963","type":"journal-article","created":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T20:34:39Z","timestamp":1549053279000},"page":"1661-1668","source":"Crossref","is-referenced-by-count":51,"title":["Geo-Supervised Visual Depth Prediction"],"prefix":"10.1109","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1030-2286","authenticated-orcid":false,"given":"Xiaohan","family":"Fei","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alex","family":"Wong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefano","family":"Soatto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.544"},{"key":"ref33","first-page":"842","article-title":"Deep3d: Fully automatic 2d-to-3d video conversion with deep convolutional neural networks","author":"xie","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref32","first-page":"172","article-title":"Surge: Surface regularized geometry estimation from a single image","author":"wang","year":"0","journal-title":"Proc 30th Int Conf Neural Inf Process Syst"},{"key":"ref31","first-page":"2022","article-title":"Learning depth from monocular videos using direct methods","author":"wang","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139924"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.700"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref35","first-page":"340","article-title":"Unsupervised learning of monocular depth estimation and visual odometry with deep feature reconstruction","author":"zhan","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref34","article-title":"GeoNet: Unsupervised learning of deep depth, optical flow and camera pose","author":"yin","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989537"},{"key":"ref11","first-page":"775","article-title":"Depth extraction from video using non-parametric sampling","author":"karsch","year":"0","journal-title":"Proc 12th Conf Comput Vis"},{"key":"ref12","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2270375"},{"key":"ref14","first-page":"109","article-title":"Efficient inference in fully connected CRFs with Gaussian edge potentials","author":"kr\u00e4henb\u00fchl","year":"0","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref15","first-page":"703","article-title":"Joint semantic segmentation and 3d reconstruction from monocular video","author":"kundu","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.32"},{"key":"ref17","first-page":"2579","article-title":"PlaneNet: Piece-wise planar reconstruction from a single RGB image","author":"liu","year":"0","journal-title":"Proc IEEE Conf Comput Vis and Pattern Recog"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2505283"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref28","first-page":"746","article-title":"Indoor segmentation and support inference from RGBD images","author":"silberman","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref4","first-page":"318","article-title":"Visual-inertial object detection and mapping","author":"fei","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587503"},{"key":"ref3","first-page":"2366","article-title":"Depth map prediction from a single image using a multi-scale deep network","author":"eigen","year":"0","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"ref29","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"ICLRE"},{"key":"ref5","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":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.20"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.699"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref1","article-title":"OptNet: Differentiable optimization as a layer in neural networks","author":"amos","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref20","first-page":"5667","article-title":"Unsupervised learning of depth and ego-motion from monocular video using 3d geometric constraints","author":"mahjourian","year":"0","journal-title":"Proc IEEE Conf Comput Vis and Pattern Recog"},{"key":"ref22","first-page":"3565","article-title":"A multi-state constraint Kalman filter for vision-aided inertial navigation","author":"mourikis","year":"0","journal-title":"Proc IEEE Conf Robot Autom"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.438"},{"key":"ref24","first-page":"739","article-title":"Associative hierarchical CRFs for object class image segmentation","author":"russell","year":"0","journal-title":"Proc IEEE 12th Conf Comput Vis"},{"key":"ref23","first-page":"283","article-title":"GeoNet: Geometric neural network for joint depth and surface normal estimation","author":"qi","year":"0","journal-title":"Proc IEEE Conf Comput Vis and Pattern Recog"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.132"},{"key":"ref25","first-page":"1161","article-title":"Learning depth from single monocular images","author":"saxena","year":"0","journal-title":"Proc 18thInt Conf Neural Inf Process Syst"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/8581687\/08632685.pdf?arnumber=8632685","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T21:12:40Z","timestamp":1657746760000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8632685\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4]]},"references-count":38,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/lra.2019.2896963","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,4]]}}}