{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T16:27:49Z","timestamp":1751300869884,"version":"3.37.3"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"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","id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2025,3]]},"DOI":"10.1109\/lra.2025.3536855","type":"journal-article","created":{"date-parts":[[2025,1,30]],"date-time":"2025-01-30T19:23:46Z","timestamp":1738265026000},"page":"2830-2837","source":"Crossref","is-referenced-by-count":1,"title":["MonoTher-Depth: Enhancing Thermal Depth Estimation via Confidence-Aware Distillation"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4158-3153","authenticated-orcid":false,"given":"Xingxing","family":"Zuo","sequence":"first","affiliation":[{"name":"California Institute of Technology, Pasadena, CA, USA"}]},{"given":"Nikhil","family":"Ranganathan","sequence":"additional","affiliation":[{"name":"California Institute of Technology, Pasadena, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5008-4092","authenticated-orcid":false,"given":"Connor","family":"Lee","sequence":"additional","affiliation":[{"name":"California Institute of Technology, Pasadena, CA, USA"}]},{"given":"Georgia","family":"Gkioxari","sequence":"additional","affiliation":[{"name":"California Institute of Technology, Pasadena, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6657-3907","authenticated-orcid":false,"given":"Soon-Jo","family":"Chung","sequence":"additional","affiliation":[{"name":"California Institute of Technology, Pasadena, CA, USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3677327"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00963"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00830"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00847"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00987"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9196831"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3012548"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00720"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00107"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3168335"},{"key":"ref11","article-title":"Depth map prediction from a single image using a multi-scale deep network","volume-title":"Proc. Adv. Neural Inform. Process. Syst.","volume":"27","author":"Eigen","year":"2014"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00214"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3019967"},{"article-title":"Zoedepth: Zero-shot transfer by combining relative and metric depth","year":"2023","author":"Bhat","key":"ref14"},{"key":"ref15","article-title":"VA-DepthNet: A variational approach to single image depth prediction","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Liu","year":"2023"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3444912"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00907"},{"key":"ref18","doi-asserted-by":"crossref","DOI":"10.1007\/s11263-024-02293-3","article-title":"IEBins: Iterative elastic bins for monocular depth estimation","volume-title":"Proc. Adv. Neural Inform. Process. Syst.","author":"Shao","year":"2024"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3185382"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00575"},{"article-title":"Unveiling the depths: A multi-modal fusion framework for challenging scenarios","year":"2024","author":"Xu","key":"ref21"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3137895"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2023.3331387"},{"article-title":"Distilling the knowledge in a neural network","year":"2015","author":"Hinton","key":"ref24"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_30"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01003"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01000"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/s21010015"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00329"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3310259"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00838"},{"key":"ref32","article-title":"DINOv2: Learning robust visual features without supervision","author":"Oquab","year":"2024","journal-title":"Trans. Mach. Learn. Res."},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73036-8_14"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/IROS55552.2023.10342016"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1023\/B:VLSI.0000028532.53893.82"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00400"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00393"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/3DV53792.2021.00032"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10610318"},{"article-title":"From big to small: Multi-scale local planar guidance for monocular depth estimation","year":"2019","author":"Lee","key":"ref40"},{"key":"ref41","first-page":"3919","article-title":"New CRFs: Neural window fully-connected CRFs for monocular depth estimation","volume-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit.","author":"Yuan","year":"2022"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.5555\/3001460.3001507"},{"issue":"66","key":"ref43","article-title":"Alpha shapes: Definition and software","volume-title":"Proc. Int. Comput. Geometry Softw. Workshop","volume":"63","author":"Akkiraju","year":"1995"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7083369\/10849592\/10858391.pdf?arnumber=10858391","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T20:40:23Z","timestamp":1740084023000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10858391\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3]]},"references-count":43,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/lra.2025.3536855","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"type":"electronic","value":"2377-3766"},{"type":"electronic","value":"2377-3774"}],"subject":[],"published":{"date-parts":[[2025,3]]}}}