{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T16:08:52Z","timestamp":1777651732667,"version":"3.51.4"},"reference-count":39,"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"}],"funder":[{"DOI":"10.13039\/501100010577","name":"Toyota Motor Europe","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100010577","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1109\/lra.2024.3440732","type":"journal-article","created":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T18:44:04Z","timestamp":1723142644000},"page":"8114-8121","source":"Crossref","is-referenced-by-count":2,"title":["Improving Self-Supervised Learning of Transparent Category Poses With Language Guidance and Implicit Physical Constraints"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9996-988X","authenticated-orcid":false,"given":"Pengyuan","family":"Wang","sequence":"first","affiliation":[{"name":"Chair for Computer Aided Medical Procedures, Technical University of Munich, Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6382-0335","authenticated-orcid":false,"given":"Lorenzo","family":"Garattoni","sequence":"additional","affiliation":[{"name":"Toyota Motor Europe, Bruxelles, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2860-0502","authenticated-orcid":false,"given":"Sven","family":"Meier","sequence":"additional","affiliation":[{"name":"Toyota Motor Europe, Bruxelles, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6032-5611","authenticated-orcid":false,"given":"Nassir","family":"Navab","sequence":"additional","affiliation":[{"name":"Chair for Computer Aided Medical Procedures, Technical University of Munich, Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0620-5774","authenticated-orcid":false,"given":"Benjamin","family":"Busam","sequence":"additional","affiliation":[{"name":"Chair for Computer Aided Medical Procedures, Technical University of Munich, Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00275"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00163"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.02054"},{"key":"ref4","article-title":"Blenderproc: Reducing the reality gap with photorealistic rendering","volume-title":"Proc. Int. Conf. Robot.: Sciene Syst. RSS 2020","author":"Denninger","year":"2020"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01726-1"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.4135\/9781412983907.n432"},{"key":"ref7","article-title":"Crocps: Addressing photometric challenges in self-supervised category-level 6D object poses with cross-modal learning","volume-title":"Proc. Brit. Mach. Vis. Conf. Proc.","author":"Wang","year":"2022"},{"key":"ref8","article-title":"Grounding dino: Marrying dino with grounded pre-training for open-set object detection","author":"Liu","year":"2023"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i2.20104"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20077-9_43"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00666"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00277"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9811799"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00354"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00376"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58574-7_9"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00331"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3110538"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636212"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636856"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3652583.3658050"},{"key":"ref22","article-title":"GS-Pose: Category-level object pose estimation via geometric and semantic correspondence","author":"Wang","year":"2023"},{"key":"ref23","first-page":"27469","article-title":"Category-level 6D object pose estimation in the wild: A semi-supervised learning approach and a new dataset","volume":"35","author":"Ze","year":"2022","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01287"},{"key":"ref25","article-title":"Learning to predict 3D objects with an interpolation-based differentiable renderer","volume":"32","author":"Chen","year":"2019","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01162"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197518"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636382"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636459"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20074-8_22"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-25085-9_9"},{"key":"ref32","article-title":"Shapenet: An information-rich 3D model repository","author":"Chang","year":"2015"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00030"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s11633-023-1458-0"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58586-0_33"},{"key":"ref36","article-title":"Housecat6Da large-scale multi-modal category level 6D object pose dataset with household objects in realistic scenarios","author":"Jung","year":"2022"},{"key":"ref37","article-title":"Mitsuba 3 renderer","author":"Jakob","year":"2022"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3254463"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7083369\/10601335\/10631304.pdf?arnumber=10631304","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,15]],"date-time":"2024-08-15T04:41:48Z","timestamp":1723696908000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10631304\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9]]},"references-count":39,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/lra.2024.3440732","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9]]}}}