{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:07:00Z","timestamp":1775066820673,"version":"3.50.1"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Korea Institute of Science and Technology Institutional Programs","award":["2E31581"],"award-info":[{"award-number":["2E31581"]}]},{"name":"Korea Institute of Science and Technology Institutional Programs","award":["2E32302"],"award-info":[{"award-number":["2E32302"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3241250","type":"journal-article","created":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T19:27:39Z","timestamp":1675279659000},"page":"11451-11462","source":"Crossref","is-referenced-by-count":6,"title":["6D Object Pose Estimation Using a Particle Filter With Better Initialization"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8231-8439","authenticated-orcid":false,"given":"Gijae","family":"Lee","sequence":"first","affiliation":[{"name":"Artificial Intelligence and Robotics Institute, Korea Institute of Science and Technology, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun-Sik","family":"Kim","sequence":"additional","affiliation":[{"name":"Artificial Intelligence and Robotics Institute, Korea Institute of Science and Technology, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2927-6273","authenticated-orcid":false,"given":"Seungryong","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Korea University, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9467-2323","authenticated-orcid":false,"given":"Kanggeon","family":"Kim","sequence":"additional","affiliation":[{"name":"Artificial Intelligence and Robotics Institute, Korea Institute of Science and Technology, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1177\/0278364911401765"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2014.6907430"},{"key":"ref3","article-title":"Deep object pose estimation for semantic robotic grasping of household objects","author":"Tremblay","year":"2018","journal-title":"arXiv:1809.10790"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1177\/0278364911436019"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-008-0178-3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12446"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00038"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00346"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.15607\/rss.2018.xiv.019"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00469"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00777"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00776"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/URAI.2019.8768782"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/s20123543"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-37331-2_42"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2017.103"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1049\/ip-f-2.1993.0015"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-3437-9"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461163"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_47"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341257"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01231-1_42"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107404"},{"key":"ref24","article-title":"Hypercorrelation squeeze for few-shot segmentation","author":"Min","year":"2021","journal-title":"arXiv:2104.01538"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01165"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.169"},{"key":"ref27","first-page":"652","article-title":"PointNet: Deep learning on point sets for 3D classification and segmentation","volume-title":"Proc. IEEE Conf. Comput. Vis. pattern Recognit.","author":"Qi"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00300"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00302"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_7"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2021.3056043"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01393"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01243-8"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794448"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2016.XII.023"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989357"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2009.V.021"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2976132"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460538"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2013.6696485"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1186\/1687-6180-2012-36"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7354243"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ISPA.2005.195385"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00873"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_2"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICIVC50857.2020.9177481"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICAR.2015.7251504"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10605-2_35"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2000.844730"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2011.2181749"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2012.2205651"},{"issue":"3","key":"ref53","first-page":"1","article-title":"ROS: An open-source robot operating system","volume-title":"Proc. ICRA workshop Open Source Software","volume":"3","author":"Quigley"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10034745.pdf?arnumber=10034745","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T13:05:55Z","timestamp":1707829555000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10034745\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3241250","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}