{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T10:08:55Z","timestamp":1777889335071,"version":"3.51.4"},"reference-count":45,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"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":[],"published-print":{"date-parts":[[2025,10,19]]},"DOI":"10.1109\/iccv51701.2025.02686","type":"proceedings-article","created":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T19:45:49Z","timestamp":1777491949000},"page":"28925-28934","source":"Crossref","is-referenced-by-count":0,"title":["Spherical Epipolar Rectification for Deep Two-View Absolute Depth Estimation"],"prefix":"10.1109","author":[{"given":"Pierre-Andr\u00e9","family":"Brousseau","sequence":"first","affiliation":[{"name":"Universit&#x00E9; de Montr&#x00E9;al"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S\u00e9bastien","family":"Roy","sequence":"additional","affiliation":[{"name":"Universit&#x00E9; de Montr&#x00E9;al"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Unsupervised scale-consistent depth and ego-motion learning from monocular video","volume":"32","author":"Bian","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3136220"},{"issue":"2","key":"ref3","volume":"3","author":"Bradski","year":"2000","journal-title":"Opencv. Dr. Dobb\u2019s journal of software tools"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CRV55824.2022.00024"},{"key":"ref5","first-page":"89","article-title":"Strong stereo features for self-supervised practical stereo matching","author":"Brousseau","year":"2023","journal-title":"BMVC"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1117\/12.2618984"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00716"},{"key":"ref8","first-page":"22158","article-title":"Hierarchical neural architecture search for deep stereo matching","volume":"33","author":"Cheng","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.5201\/ipol.2021.328"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.304"},{"key":"ref11","article-title":"Depth map prediction from a single image using a multi-scale deep network","volume":"27","author":"Eigen","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2017.699"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00393"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00026"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.56"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00166"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1117\/1.2969124"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20876-9_13"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/3DV53792.2021.00032"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3386569.3392377"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073645"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2008.4761515"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.791262"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.1997.609355"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2023.3322549"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-34372-9"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3272127.3275041"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00884"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3026899"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01956"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341801"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00122"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3335480"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3298645"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00987"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00136"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_47"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00212"},{"key":"ref41","first-page":"3","article-title":"Back to basics: Unsupervised learning of optical flow via brightness constancy and motion smoothness","volume-title":"Computer Vision-ECCV 2016 Workshops","author":"Jason","year":"2016"},{"key":"ref42","article-title":"Monst3r: A simple approach for estimating geometry in the presence of motion","author":"Zhang","year":"2024","journal-title":"arXiv preprint arXiv"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01778"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00917"},{"key":"ref45","article-title":"Selfsupervised learning for stereo matching with self-improving ability","author":"Zhong","year":"2017","journal-title":"arXiv preprint arXiv"}],"event":{"name":"2025 IEEE\/CVF International Conference on Computer Vision (ICCV)","location":"Honolulu, HI, USA","start":{"date-parts":[[2025,10,19]]},"end":{"date-parts":[[2025,10,25]]}},"container-title":["2025 IEEE\/CVF International Conference on Computer Vision (ICCV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11443115\/11443287\/11445101.pdf?arnumber=11445101","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T05:09:39Z","timestamp":1777612179000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11445101\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,19]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/iccv51701.2025.02686","relation":{},"subject":[],"published":{"date-parts":[[2025,10,19]]}}}