{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T22:13:12Z","timestamp":1740175992104,"version":"3.37.3"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2022B1515020103"],"award-info":[{"award-number":["2022B1515020103"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shenzhen Science and Technology Program","award":["JCYJ20190807152209394"],"award-info":[{"award-number":["JCYJ20190807152209394"]}]},{"name":"Guangdong Key Laboratory of Advanced IntelliSense Technology"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2023,1]]},"DOI":"10.1109\/lra.2022.3224654","type":"journal-article","created":{"date-parts":[[2022,11,24]],"date-time":"2022-11-24T21:31:50Z","timestamp":1669325510000},"page":"224-231","source":"Crossref","is-referenced-by-count":3,"title":["HI-Net: Boosting Self-Supervised Indoor Depth Estimation via Pose Optimization"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3646-2568","authenticated-orcid":false,"given":"Guanghui","family":"Wu","sequence":"first","affiliation":[{"name":"School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University (SYSU), Shenzhen, China"}]},{"given":"Kunhong","family":"Li","sequence":"additional","affiliation":[{"name":"School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University (SYSU), Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0429-0263","authenticated-orcid":false,"given":"Longguang","family":"Wang","sequence":"additional","affiliation":[{"name":"Air Force Aviation University (AFAU), Changchun, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6798-0336","authenticated-orcid":false,"given":"Ruizhen","family":"Hu","sequence":"additional","affiliation":[{"name":"College of Computer Science &amp; Software Engineering, Shenzhen University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0952-476X","authenticated-orcid":false,"given":"Yulan","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University (SYSU), Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2892-8252","authenticated-orcid":false,"given":"Zengping","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University (SYSU), Shenzhen, China"}]}],"member":"263","reference":[{"key":"ref39","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":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.193"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10605-2_54"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_18"},{"key":"ref30","article-title":"DeepV2D: Video to depth with differentiable structure from motion","author":"teed","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"article-title":"Deep image homography estimation","year":"2016","author":"detone","key":"ref37"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1561\/0600000009"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1017\/9781316671528"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00393"},{"key":"ref40","first-page":"8024","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01484-6"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00256"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3065203"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.699"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00917"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3067498"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00871"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58586-0_13"},{"article-title":"Unsupervised depth learning in challenging indoor video: Weak rectification to rescue","year":"2020","author":"bian","key":"ref19"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_45"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2505283"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.261"},{"key":"ref3","first-page":"1119","article-title":"Depth and surface normal estimation from monocular images using regression on deep features and hierarchical CRFs","author":"li","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.365"},{"key":"ref29","first-page":"2017","article-title":"Spatial transformer networks","volume":"28","author":"jaderberg","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298897"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00578"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00214"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3092258"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.700"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3017478"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3136220"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01255"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093495"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2658577"},{"key":"ref24","first-page":"1","article-title":"BA-Net: Dense bundle adjustment networks","author":"tang","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref41","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.596"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3019967"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33715-4_54"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.32"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_14"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/9963768\/09963592.pdf?arnumber=9963592","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T19:42:59Z","timestamp":1671478979000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9963592\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1]]},"references-count":44,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/lra.2022.3224654","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"type":"electronic","value":"2377-3766"},{"type":"electronic","value":"2377-3774"}],"subject":[],"published":{"date-parts":[[2023,1]]}}}