{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T18:09:38Z","timestamp":1763748578659,"version":"3.37.3"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"EvaMayr-Stihl Stiftung"},{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["871449-OpenDR"],"award-info":[{"award-number":["871449-OpenDR"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Veh."],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1109\/tiv.2022.3140654","type":"journal-article","created":{"date-parts":[[2022,1,5]],"date-time":"2022-01-05T20:36:38Z","timestamp":1641414998000},"page":"170-185","source":"Crossref","is-referenced-by-count":26,"title":["Dynamic Object Removal and Spatio-Temporal RGB-D Inpainting via Geometry-Aware Adversarial Learning"],"prefix":"10.1109","volume":"7","author":[{"given":"Borna","family":"Besic","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Freiburg, Freiburg im Breisgau, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4710-3114","authenticated-orcid":false,"given":"Abhinav","family":"Valada","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Freiburg, Freiburg im Breisgau, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2016.11.012"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967847"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ISMAR.2007.4538852"},{"key":"ref4","first-page":"1","article-title":"Incorporating semantic and geometric priors in deep pose regression","volume-title":"Proc. Workshop Learn. Inference Robot., Integrating Struct., Priors Models Robot., Sci. Syst.","volume":"1","author":"Valada"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794417"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00457"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.278"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8202211"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/344779.344972"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/83.935036"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2601097.2601205"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1531326.1531330"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2185520.2185578"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1080\/10867651.2004.10487596"},{"key":"ref15","first-page":"2672","article-title":"Generative adversarial nets","volume-title":"Proc. Conf. Neural Inf. Process. Syst.","author":"Goodfellow","year":"2014"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.434"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00577"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073659"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_6"},{"key":"ref20","article-title":"Edgeconnect: Generative image inpainting with adversarial edge learning","volume-title":"Proc. IEEE\/CVF Int. Conf. Comput. Vis. Works.,","author":"Nazeri","year":"2019"},{"key":"ref21","article-title":"Deep image prior","volume-title":"Proc. IEEE Conf. Comput. Vis. Patt. Recognit.","author":"Ulyanov","year":"2018"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00594"},{"key":"ref23","article-title":"Align-and-attend network for globally and locally coherent video inpainting","volume-title":"Proc. British Machine Vis. Conf.","author":"Woo","year":"2020"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00451"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00384"},{"key":"ref26","article-title":"Learnable gated temporal shift module for deep video inpainting","volume-title":"Proc. Brit. Mach. Vis. Conf.","author":"Chang","year":"2019"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00281"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2910151"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3048629"},{"key":"ref30","article-title":"Video-to-video synthesis","volume-title":"Neural Info. Process. Syst.","author":"Wang","year":"2018"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01188-y"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_38"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2016.2623335"},{"article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Representation","author":"Simonyan","key":"ref34"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793637"},{"key":"ref36","first-page":"1","article-title":"CARLA: An open urban driving simulator","volume-title":"Proc. Conf. Robot Learn.","author":"Dosovitskiy","year":"2017"},{"article-title":"From big to small: Multi-scale local planar guidance for monocular depth estimation","year":"2019","author":"Lee","key":"ref37"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2869640"},{"key":"ref39","first-page":"6626","article-title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium","volume-title":"Proc. Conf. Neural Inf. Process. Syst.","author":"Heusel","year":"2017"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"article-title":"Towards accurate generative models of video: A new metric & challenges","year":"2018","author":"Unterthiner","key":"ref41"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298790"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00457"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00897"}],"container-title":["IEEE Transactions on Intelligent Vehicles"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7274857\/9826527\/09670638.pdf?arnumber=9670638","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,13]],"date-time":"2024-01-13T22:51:23Z","timestamp":1705186283000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9670638\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6]]},"references-count":45,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tiv.2022.3140654","relation":{},"ISSN":["2379-8904","2379-8858"],"issn-type":[{"type":"electronic","value":"2379-8904"},{"type":"print","value":"2379-8858"}],"subject":[],"published":{"date-parts":[[2022,6]]}}}