{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T07:32:44Z","timestamp":1761895964847,"version":"build-2065373602"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/icme59968.2025.11209459","type":"proceedings-article","created":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T17:57:42Z","timestamp":1761847062000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Prompt-driven Multi-modal Unsupervised Domain Adaptation for 3D Semantic Segmentation"],"prefix":"10.1109","author":[{"given":"Mingwei","family":"Xing","sequence":"first","affiliation":[{"name":"Xiamen University,Institute of Artificial Intelligence"}]},{"given":"Yao","family":"Wu","sequence":"additional","affiliation":[{"name":"Xiamen University,School of Informatics"}]},{"given":"Yachao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Xiamen University,School of Informatics"}]},{"given":"Yanyun","family":"Qu","sequence":"additional","affiliation":[{"name":"Xiamen University,Institute of Artificial Intelligence"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01236"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00961"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00479"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01087"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01164"},{"article-title":"A2d2: Audi autonomous driving dataset","year":"2020","author":"Geyer","key":"ref6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.02012"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02078"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2022.3159589"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612013"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2025.3545971"},{"key":"ref12","article-title":"Unidseg: Unified cross-domain 3d semantic segmentation via visual foundation models prior","volume-title":"NeurIPS","volume":"37","author":"Wu"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3680582"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3547990"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/285"},{"article-title":"Scaling up visual and vision-language representation learning with noisy text supervision","volume-title":"ICML","author":"Jia","key":"ref16"},{"article-title":"Learning transferable visual models from natural language supervision","volume-title":"ICML","author":"Radford","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2023.3327962"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01631"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00654"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3560815"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2023.08.012"},{"article-title":"Attention is all you need","volume-title":"NeurIPS","author":"Vaswani","key":"ref23"},{"article-title":"Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation","volume-title":"CVPR","author":"et al","key":"ref24"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00710"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00702"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3547987"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00939"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2016.470"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"}],"event":{"name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","start":{"date-parts":[[2025,6,30]]},"location":"Nantes, France","end":{"date-parts":[[2025,7,4]]}},"container-title":["2025 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11208895\/11208897\/11209459.pdf?arnumber=11209459","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T06:03:07Z","timestamp":1761890587000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11209459\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/icme59968.2025.11209459","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}