{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T10:16:30Z","timestamp":1774865790189,"version":"3.50.1"},"reference-count":66,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1109\/tpami.2024.3381710","type":"journal-article","created":{"date-parts":[[2024,3,27]],"date-time":"2024-03-27T19:00:30Z","timestamp":1711566030000},"page":"6263-6279","source":"Crossref","is-referenced-by-count":16,"title":["Adaptive Surface Normal Constraint for Geometric Estimation From Monocular Images"],"prefix":"10.1109","volume":"46","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3386-8805","authenticated-orcid":false,"given":"Xiaoxiao","family":"Long","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Hong Kong, Hong Kong"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8215-6962","authenticated-orcid":false,"given":"Yuhang","family":"Zheng","sequence":"additional","affiliation":[{"name":"Institute for AI Industry Research, Tsinghua University, Beijing, China"}]},{"given":"Yupeng","family":"Zheng","sequence":"additional","affiliation":[{"name":"Institute for AI Industry Research, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2651-913X","authenticated-orcid":false,"given":"Beiwen","family":"Tian","sequence":"additional","affiliation":[{"name":"Institute for AI Industry Research, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3335-6623","authenticated-orcid":false,"given":"Cheng","family":"Lin","sequence":"additional","affiliation":[{"name":"Tencent Games, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4301-1474","authenticated-orcid":false,"given":"Lingjie","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7903-581X","authenticated-orcid":false,"given":"Hao","family":"Zhao","sequence":"additional","affiliation":[{"name":"Institute for AI Industry Research, Tsinghua University, Beijing, China"}]},{"given":"Guyue","family":"Zhou","sequence":"additional","affiliation":[{"name":"Institute for AI Industry Research, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2284-3952","authenticated-orcid":false,"given":"Wenping","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.452"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/83.661192"},{"key":"ref3","first-page":"2666","article-title":"Depth from a single image by harmonizing overcomplete\n                        local network predictions","volume-title":"Proc. Adv.\n                        Neural Inf. Process. Syst.","author":"Chakrabarti"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.261"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.304"},{"key":"ref6","first-page":"2366","article-title":"Depth map prediction from a single image using a\n                        multi-scale deep network","volume-title":"Proc. Adv.\n                        Neural Inf. Process. Syst.","author":"Eigen"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.421"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10599-4_44"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00214"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.699"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00393"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00116"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160708"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2014.51"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33715-4_56"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00226"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.19"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.32"},{"key":"ref20","article-title":"From big to small: Multi-scale local planar guidance\n                        for monocular depth estimation","author":"Lee","year":"2019"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298715"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.365"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2505283"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3055629"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i3.16311"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.97"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58545-7_37"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/34.56205"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00037"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3020800"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00343"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.440"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2008.4587536"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298720"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.594"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.132"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20873-8_2"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2983686"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298897"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298652"},{"key":"ref41","volume-title":"Anisotropic Diffusion in Image Processing","volume":"1","author":"Weickert","year":"1998"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/11744023_17"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00077"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.25"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00290"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12257"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00578"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00423"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01261"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01196"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2018.00298"},{"key":"ref52","article-title":"Includes all grand theft auto\n                        online and grand theft auto V free-to-access content\n                    updates","year":"2014"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_31"},{"key":"ref54","first-page":"16558","article-title":"Droid-SLAM: Deep visual slam for monocular, stereo,\n                        and RGB-D cameras","volume-title":"Proc. Adv. Neural Inf.\n                        Process. Syst.","author":"Teed"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298925"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.695"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01551"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.70752"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01578"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2976065"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19824-3_18"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01473"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01903"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.537"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2005.107"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00391"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/10627928\/10480285.pdf?arnumber=10480285","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T17:44:55Z","timestamp":1723052695000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10480285\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9]]},"references-count":66,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2024.3381710","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9]]}}}