{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T10:28:56Z","timestamp":1763202536656,"version":"3.28.0"},"reference-count":53,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"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":[[2021,5,30]]},"DOI":"10.1109\/icra48506.2021.9562086","type":"proceedings-article","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T00:28:35Z","timestamp":1634689715000},"page":"13293-13300","source":"Crossref","is-referenced-by-count":2,"title":["What My Motion tells me about Your Pose: A Self-Supervised Monocular 3D Vehicle Detector"],"prefix":"10.1109","author":[{"given":"Cedric","family":"Picron","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Punarjay","family":"Chakravarty","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tom","family":"Roussel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tinne","family":"Tuytelaars","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"article-title":"Domain adaptation for object detection via style consistency","year":"2019","author":"rodriguez","key":"ref39"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00057"},{"key":"ref33","first-page":"7354","article-title":"Domain-specific batch normalization for unsupervised domain adaptation","author":"chang","year":"2019","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref32","article-title":"A deep convolutional activation feature for generic visual recognition","volume":"1","author":"donahue","year":"2013"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-58347-1"},{"key":"ref30","first-page":"1851","article-title":"Unsupervised learning of depth and ego-motion from video","author":"zhou","year":"2017","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00677"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00352"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00780"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_6"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.13"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.320"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.166"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.597"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.236"},{"key":"ref20","first-page":"766","article-title":"Discriminative unsupervised feature learning with convolutional neural networks","author":"dosovitskiy","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.167"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46466-4_5"},{"key":"ref24","first-page":"4086","article-title":"Unsuper-vised learning of spatiotemporally coherent metrics","author":"goroshin","year":"2015","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00393"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.638"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_32"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58592-1_9"},{"key":"ref52","doi-asserted-by":"crossref","DOI":"10.1109\/IROS45743.2020.9341164","article-title":"3d multi-object tracking: A baseline and new evaluation metrics","author":"weng","year":"2020"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"3354","DOI":"10.1109\/CVPR.2012.6248074","article-title":"Are we ready for autonomous driving? the kitti vision benchmark suite","author":"geiger","year":"2012","journal-title":"2012 IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01164"},{"key":"ref40","first-page":"2096","article-title":"Domain-adversarial training of neural networks","volume":"17","author":"ganin","year":"2016","journal-title":"The Journal of Machine Learning Research"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.198"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00375"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00217"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00115"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00208"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"8851","DOI":"10.1609\/aaai.v33i01.33018851","article-title":"Monogrnet: A geometric reasoning network for monocular 3d object localization","volume":"33","author":"qin","year":"2019","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00202"},{"article-title":"Unsupervised representation learning by predicting image rotations","year":"2018","author":"gidaris","key":"ref19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01169"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00938"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"1147","DOI":"10.1109\/TRO.2015.2463671","article-title":"Orb-slam: a versatile and accurate monocular slam system","volume":"31","author":"mur-artal","year":"2015","journal-title":"IEEE Transactions on Robotics"},{"key":"ref5","first-page":"834","article-title":"Lsd-slam: Large-scale direct monocular slam","author":"engel","year":"2014","journal-title":"European Conference on Computer Vision"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.05.083"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197095"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"1255","DOI":"10.1109\/TRO.2017.2705103","article-title":"Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras","volume":"33","author":"mur-artal","year":"2017","journal-title":"IEEE Transactions on Robotics"},{"key":"ref9","first-page":"4340","article-title":"Virtual worlds as proxy for multi-object tracking analysis","author":"gaidon","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref46","article-title":"Theil-sen estimators in a multiple linear regression model","author":"dang","year":"2008","journal-title":"Olemiss Edu"},{"key":"ref45","first-page":"637","article-title":"A ransac-based approach to model fitting and its application to finding cylinders in range data","volume":"1981","author":"bolles","year":"1981","journal-title":"IJCAI"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/7.4.308"},{"key":"ref47","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00549"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01173"},{"key":"ref44","volume":"523","author":"huber","year":"2004","journal-title":"Robust Statistics"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1142\/9789812797926_0003"}],"event":{"name":"2021 IEEE International Conference on Robotics and Automation (ICRA)","start":{"date-parts":[[2021,5,30]]},"location":"Xi'an, China","end":{"date-parts":[[2021,6,5]]}},"container-title":["2021 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9560720\/9560666\/09562086.pdf?arnumber=9562086","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,12]],"date-time":"2023-01-12T22:49:24Z","timestamp":1673563764000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9562086\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,30]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/icra48506.2021.9562086","relation":{},"subject":[],"published":{"date-parts":[[2021,5,30]]}}}