{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T16:17:32Z","timestamp":1777047452833,"version":"3.51.4"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T00:00:00Z","timestamp":1682899200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T00:00:00Z","timestamp":1682899200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T00:00:00Z","timestamp":1682899200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Alibaba Group"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2023,5]]},"DOI":"10.1109\/lra.2023.3260724","type":"journal-article","created":{"date-parts":[[2023,3,23]],"date-time":"2023-03-23T17:52:01Z","timestamp":1679593921000},"page":"2844-2851","source":"Crossref","is-referenced-by-count":11,"title":["DRO: Deep Recurrent Optimizer for Video to Depth"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2623-7973","authenticated-orcid":false,"given":"Xiaodong","family":"Gu","sequence":"first","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1362-3747","authenticated-orcid":false,"given":"Weihao","family":"Yuan","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zuozhuo","family":"Dai","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siyu","family":"Zhu","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengzhou","family":"Tang","sequence":"additional","affiliation":[{"name":"Simon Fraser University, Burnaby, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zilong","family":"Dong","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4506-6973","authenticated-orcid":false,"given":"Ping","family":"Tan","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2658577"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_3"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10605-2_54"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58565-5_35"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00595"},{"key":"ref37","first-page":"9558","article-title":"Differentiable convex optimization layers","author":"agrawal","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref14","first-page":"2560","author":"bloesch","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00917"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00212"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_50"},{"key":"ref11","article-title":"LS-Net: Learning to solve nonlinear least squares for monocular stereo","author":"clark","year":"2018"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.700"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00202"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00043"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00256"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00214"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_50"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6420\/aa9581"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_24"},{"key":"ref38","first-page":"136","article-title":"OptNet: Differentiable optimization as a layer in neural networks","author":"amos","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_47"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00257"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00393"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00393"},{"key":"ref23","first-page":"35","article-title":"Unsupervised scale-consistent depth and ego-motion learning from monocular video","author":"bian","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref45","first-page":"1164","article-title":"Self-supervised multi-frame monocular depth","author":"watson","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01252"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.261"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00594"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref20","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","volume":"abs 1412 3555","author":"chung","year":"2014","journal-title":"CoRR"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00630"},{"key":"ref22","first-page":"3916","article-title":"NeWCRFs: Neural window fully-connected CRFS for monocular depth estimation","author":"yuan","year":"0","journal-title":"Proc IEEE Conf Comput Vis and Pattern Recog"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00716"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00884"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.238"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00826"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00216"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636616"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.166"},{"key":"ref7","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 Adv Neural Inf Process Syst"},{"key":"ref9","article-title":"From big to small: Multi-scale local planar guidance for monocular depth estimation","volume":"abs 1907 10326","author":"lee","year":"2019","journal-title":"CoRR"},{"key":"ref4","article-title":"DeepV2D: Video to depth with differentiable structure from motion","author":"teed","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref3","article-title":"Ba-Net: Dense bundle adjustment networks","author":"tang","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_14"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.596"},{"key":"ref40","first-page":"748","article-title":"Learning to learn without gradient descent by gradient descent","author":"chen","year":"0","journal-title":"Proc Int Conf Mach Learn"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/10073596\/10079108.pdf?arnumber=10079108","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,24]],"date-time":"2023-04-24T20:38:43Z","timestamp":1682368723000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10079108\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5]]},"references-count":48,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/lra.2023.3260724","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5]]}}}