{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,7]],"date-time":"2025-05-07T04:40:03Z","timestamp":1746592803341,"version":"3.40.5"},"reference-count":27,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003392","name":"Natural Science Foundation of Fujian Province","doi-asserted-by":"publisher","award":["2023J01430"],"award-info":[{"award-number":["2023J01430"]}],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]},{"name":"University-Industry Cooperation Projects in Fujian Province","award":["2023H6032"],"award-info":[{"award-number":["2023H6032"]}]},{"name":"Transportation Science and Technology Projects in Fujian Province","award":["ZH202317"],"award-info":[{"award-number":["ZH202317"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/lsp.2025.3557289","type":"journal-article","created":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T17:23:56Z","timestamp":1744305836000},"page":"1750-1754","source":"Crossref","is-referenced-by-count":0,"title":["Unsupervised Domain Transfer for Object Classification in 3D Point Clouds via Hierarchical Prompt Learning"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1855-2850","authenticated-orcid":false,"given":"Huan","family":"Luo","sequence":"first","affiliation":[{"name":"College of Computer and Data Science, Fuzhou University, Fuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaiwei","family":"Fu","sequence":"additional","affiliation":[{"name":"College of Computer and Data Science, Fuzhou University, Fuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3170-847X","authenticated-orcid":false,"given":"Lina","family":"Fang","sequence":"additional","affiliation":[{"name":"Quanzhou Institute of Equipment Manufacturing, Haixi Institute, Chinese Academy of Sciences, Quanzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"5105","article-title":"Pointnet++: Deep hierarchical feature learning on point sets in a metric space","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Qi"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00651"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3326362"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.16"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298801"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/tnn.2010.2091281"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2870945"},{"key":"ref8","first-page":"3731","article-title":"Joint distribution optimal transportation for domain adaptation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Courty"},{"key":"ref9","first-page":"7192","article-title":"PointDAN: A multi-scale 3D domain adaption network for point cloud representation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Qin"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01262"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73390-1_3"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00249"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00836"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.02025"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01653-1"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01631"},{"article-title":"Variational prompt tuning improves generalization of vision-language models","year":"2022","author":"Derakhshani","key":"ref17"},{"article-title":"Retrieval-enhanced visual prompt learning for few-shot classification","year":"2023","author":"Rong","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00556"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00120"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-annals-IV-1-W1-91-2017"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2018.2802935"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00252"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18293\/SEKE2016-211"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00392"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i10.17027"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/97\/10802935\/10962446.pdf?arnumber=10962446","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,7]],"date-time":"2025-05-07T04:24:23Z","timestamp":1746591863000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10962446\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/lsp.2025.3557289","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"type":"print","value":"1070-9908"},{"type":"electronic","value":"1558-2361"}],"subject":[],"published":{"date-parts":[[2025]]}}}