{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T09:37:40Z","timestamp":1775036260290,"version":"3.50.1"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T00:00:00Z","timestamp":1769731200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T00:00:00Z","timestamp":1769731200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,1,30]]},"DOI":"10.1109\/cnml68938.2026.11452332","type":"proceedings-article","created":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T19:49:32Z","timestamp":1774986572000},"page":"844-847","source":"Crossref","is-referenced-by-count":0,"title":["TP-VPR: Enhancing Visual Place Recognition with Textual Priors via Two-Stage Image\u2013Text Alignment"],"prefix":"10.1109","author":[{"given":"Linjing","family":"Shi","sequence":"first","affiliation":[{"name":"Jilin University,School of Artificial Intelligence,Changchun,China"}]},{"given":"Tieru","family":"Wu","sequence":"additional","affiliation":[{"name":"Jilin University,School of Artificial Intelligence,Changchun,China"}]},{"given":"Rui","family":"Ma","sequence":"additional","affiliation":[{"name":"Jilin University,School of Artificial Intelligence,Changchun,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00483"},{"key":"ref2","article-title":"Llama-adapter v2: Parameter-efficient visual instruction model","author":"Gao","year":"2023"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.52202\/075280-1516"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.572"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00301"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01017"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58548-8_22"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02249"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72784-9_25"},{"key":"ref10","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"International conference on machine learning","author":"Radford"},{"key":"ref11","article-title":"Representation learning with contrastive predictive coding","author":"Oord","year":"2018"},{"key":"ref12","article-title":"Dinov2: Learning robust visual features without supervision","author":"Oquab","year":"2023"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/S1364-6613(99)01294-2"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-025-11236-4"},{"key":"ref15","first-page":"2790","article-title":"Parameter-efficient transfer learning for nlp","volume-title":"International conference on machine learning","author":"Houlsby"},{"issue":"2","key":"ref16","first-page":"3","article-title":"Lora: Low-rank adaptation of large language models","volume":"1","author":"Hu","year":"2022","journal-title":"ICLR"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.243"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.353"},{"key":"ref19","article-title":"Lvlm-empowered multi-modal representation learning for visual place recognition","author":"Wang","year":"2024"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01587"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/app15105287"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00516"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.119"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298790"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00270"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR56361.2022.9956049"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00296"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58565-5_43"}],"event":{"name":"2026 International Conference on Communication Networks and Machine Learning (CNML)","location":"Chongqing, China","start":{"date-parts":[[2026,1,30]]},"end":{"date-parts":[[2026,2,1]]}},"container-title":["2026 International Conference on Communication Networks and Machine Learning (CNML)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11452215\/11452251\/11452332.pdf?arnumber=11452332","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T06:54:49Z","timestamp":1775026489000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11452332\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,30]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/cnml68938.2026.11452332","relation":{},"subject":[],"published":{"date-parts":[[2026,1,30]]}}}