{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T18:54:09Z","timestamp":1774464849018,"version":"3.50.1"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61573019"],"award-info":[{"award-number":["61573019"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61751302"],"award-info":[{"award-number":["61751302"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61627810"],"award-info":[{"award-number":["61627810"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61320106010"],"award-info":[{"award-number":["61320106010"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Key Special Projects of National Key Research and Development Plan","doi-asserted-by":"publisher","award":["2018YFB2003501"],"award-info":[{"award-number":["2018YFB2003501"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2022,10]]},"DOI":"10.1109\/tits.2021.3093592","type":"journal-article","created":{"date-parts":[[2022,8,26]],"date-time":"2022-08-26T19:38:47Z","timestamp":1661542727000},"page":"17039-17047","source":"Crossref","is-referenced-by-count":16,"title":["Unsupervised Learning of Depth Estimation and Camera Pose With Multi-Scale GANs"],"prefix":"10.1109","volume":"23","author":[{"given":"Yufan","family":"Xu","sequence":"first","affiliation":[{"name":"Department of Automation Sciences and Electrical Engineering, Beihang University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5776-0914","authenticated-orcid":false,"given":"Yan","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Automation Sciences and Electrical Engineering, Beihang University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3708-6421","authenticated-orcid":false,"given":"Rui","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Automation Sciences and Electrical Engineering, Beihang University, Beijing, China"}]},{"given":"Zeyu","family":"Lei","sequence":"additional","affiliation":[{"name":"Department of Automation Sciences and Electrical Engineering, Beihang University, Beijing, China"}]},{"given":"Junyao","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Automation Sciences and Electrical Engineering, Beihang University, Beijing, China"}]},{"given":"Zijian","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Automation Sciences and Electrical Engineering, Beihang University, Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","first-page":"2366","article-title":"Depth map prediction from a single image using a multi-scale deep network","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Eigen"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.19"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2505283"},{"key":"ref4","article-title":"Monocular depth estimation using multi-scale continuous CRFs as sequential deep networks","volume-title":"arXiv:1803.00891","author":"Xu","year":"2018"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.694"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989236"},{"key":"ref7","first-page":"3","article-title":"Back to basics: Unsupervised learning of optical flow via brightness constancy and motion smoothness","volume-title":"Proc. Eur. Conf. Comput. Vis","author":"Jason"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.699"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.700"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_45"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00216"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.629"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11009-3_20"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2018.00073"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.587"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298715"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.438"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.596"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.32657\/10356\/152280"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00062"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00212"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00043"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33715-4_54"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3156\/jsoft.29.5_177_2"},{"key":"ref26","first-page":"1486","article-title":"Deep generative image models using a Laplacian pyramid of adversarial networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Denton"},{"key":"ref27","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","volume-title":"arXiv:1511.06434","author":"Radford","year":"2015"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_36"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_20"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.202"},{"key":"ref31","article-title":"Energy-based generative adversarial network","volume-title":"arXiv:1609.03126","author":"Zhao","year":"2016"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00281"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2925555"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00068"},{"key":"ref35","first-page":"2017","article-title":"Spatial transformer networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Jaderberg"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.304"},{"key":"ref38","article-title":"TensorFlow: Large-scale machine learning on heterogeneous distributed systems","volume-title":"arXiv:1603.04467","author":"Abadi","year":"2016"},{"key":"ref39","article-title":"Adam: A method for stochastic optimization","volume-title":"arXiv:1412.6980","author":"Kingma","year":"2014"},{"key":"ref40","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume-title":"arXiv:1502.03167","author":"Ioffe","year":"2015"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.304"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2015.2463671"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/9916643\/09868263.pdf?arnumber=9868263","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T05:58:35Z","timestamp":1709359115000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9868263\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10]]},"references-count":43,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tits.2021.3093592","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10]]}}}