{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T18:17:02Z","timestamp":1783102622385,"version":"3.54.6"},"publisher-location":"Singapore","reference-count":17,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819699209","type":"print"},{"value":"9789819699216","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-9921-6_29","type":"book-chapter","created":{"date-parts":[[2025,7,25]],"date-time":"2025-07-25T06:15:57Z","timestamp":1753424157000},"page":"357-369","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Diffusion Scale-Enhanced CLIP Model for Cross-Lingual Cross-Modal Building Information Retrieval"],"prefix":"10.1007","author":[{"given":"Mingliang","family":"Tang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chengwei","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,26]]},"reference":[{"key":"29_CR1","doi-asserted-by":"crossref","unstructured":"Petrova, E., Svidt, K., Jensen, R.L., Pauwels, P.: From patterns to evidence: enhancing sustainable building design with pattern recognition and information retrieval approaches. eWork and eBusiness in Architecture, Engineering and Construction. CRC Press, pp. 391\u2013398 (2018)","DOI":"10.1201\/9780429506215-49"},{"key":"29_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jobe.2021.102222","volume":"39","author":"R Eini","year":"2021","unstructured":"Eini, R., Linkous, L., Zohrabi, N., Abdelwahed, S.: Smart building management system: performance specifications and design requirements. Journal of Building Eng. 39, 102222 (2021)","journal-title":"Journal of Building Eng."},{"issue":"2","key":"29_CR3","first-page":"261","volume":"14","author":"E Moraitou","year":"2023","unstructured":"Moraitou, E., Christodoulou, Y., Caridakis, G.: Semantic models and services for conservation and restoration of cultural heritage: a comprehensive survey. Semantic Web. 14(2), 261\u2013291 (2023)","journal-title":"Semantic Web."},{"key":"29_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2022.104317","volume":"139","author":"H Wang","year":"2022","unstructured":"Wang, H., Meng, X., Zhu, X.: Improving knowledge capture and retrieval in the BIM environment: combining case-based reasoning and natural language processing. Autom. Constr. 139, 104317 (2022)","journal-title":"Autom. Constr."},{"issue":"7","key":"29_CR5","doi-asserted-by":"publisher","first-page":"302","DOI":"10.3390\/buildings11070302","volume":"11","author":"HS Munawar","year":"2021","unstructured":"Munawar, H.S., Aggarwal, R., Qadir, Z., Khan, S.I., Kouzani, A.Z., Mahmud, M.P.: A gabor filter-based protocol for automated image-based building detection. Buildings 11(7), 302 (2021)","journal-title":"Buildings"},{"key":"29_CR6","doi-asserted-by":"crossref","unstructured":"Wang, S., Yan, Y., Yang, X., Huang, K.: CRA: text to image retrieval for architecture images by chinese CLIP. Proceedings of the 7th International Conference on Machine Vision and Information Technology (CMVIT), pp. 29\u201334 (2023)","DOI":"10.1109\/CMVIT57620.2023.00015"},{"key":"29_CR7","doi-asserted-by":"crossref","unstructured":"Huang, P.Y., Chang, X., Hauptmann, A., Hovy, E.: Forward and backward multimodal NMT for improved monolingual and multilingual cross-modal retrieval. Proceedings of the 2020 International Conference on Multimedia Retrieval, pp. 53\u201362 (2020)","DOI":"10.1145\/3372278.3390674"},{"key":"29_CR8","unstructured":"Radford, A., et al.: Learning transferable visual models from natural language supervision. International Conference on Machine Learning, pp. 8748\u20138763 (2021)"},{"key":"29_CR9","doi-asserted-by":"crossref","unstructured":"Wang, Y., Dong, J., Liang, T., Zhang, M., Cai, R., Wang, X.: Cross-lingual cross-modal retrieval with noise-robust learning. In: Proceedings of the 30th ACM International Conference on Multimedia, pp. 422\u2013433 (2022)","DOI":"10.1145\/3503161.3548003"},{"key":"29_CR10","doi-asserted-by":"crossref","unstructured":"Hsu, T.Y., Liu, C.L., Lee, H.Y.: Zero-Shot Reading Comprehension by Cross-Lingual Transfer Learning with Multi-Lingual Language Representation Model. ArXiv. abs\/1909.09587 (2019)","DOI":"10.18653\/v1\/D19-1607"},{"key":"29_CR11","doi-asserted-by":"crossref","unstructured":"Plummer, B.A., Wang, L., Cervantes, C.M., Caicedo, J.C., Hockenmaier, J., Lazebnik, S.: Flickr30k entities: collecting region-to-phrase correspondences for richer image-to-sentence models. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2641\u20132649 (2015)","DOI":"10.1109\/ICCV.2015.303"},{"key":"29_CR12","doi-asserted-by":"crossref","unstructured":"Xiao, J., Hays, J., Ehinger, K.A., Oliva, A., Torralba, A.: Sun database: large-scale scene recognition from abbey to zoo. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 3485\u20133492 (2010)","DOI":"10.1109\/CVPR.2010.5539970"},{"key":"29_CR13","doi-asserted-by":"crossref","unstructured":"Young, S.I., Girod, B., Taubman, D.: Gaussian lifting for fast bilateral and nonlocal means filtering. IEEE Transactions on Image Processing 29, 6082\u20136095 (2020)","DOI":"10.1109\/TIP.2020.2984357"},{"issue":"1","key":"29_CR14","first-page":"45","volume":"13","author":"S Iranpour Mobarakeh","year":"2020","unstructured":"Iranpour Mobarakeh, S., Emadi, M.: Improving face recognition rate based on histogram of oriented gradients and difference of gaussian. Journal of Computer & Robotics 13(1), 45\u201353 (2020)","journal-title":"Journal of Computer & Robotics"},{"key":"29_CR15","doi-asserted-by":"crossref","unstructured":"Yu, Y., Kim, J., Kim, G.: A joint sequence fusion model for video question answering and retrieval. Proceedings of the European Conference on Computer Vision (ECCV), pp. 471\u2013487 (2018)","DOI":"10.1007\/978-3-030-01234-2_29"},{"key":"29_CR16","unstructured":"Su, W., et al.: VL-BERT: Pre-Training of Generic Visual-Linguistic Representations. ArXiv. abs\/1908.08530 (2019)"},{"key":"29_CR17","unstructured":"Zeng, Y., Zhang, X., Li, H.: Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts. ArXiv. abs\/2111.08276 (2021)"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-9921-6_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T17:39:15Z","timestamp":1783100355000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-9921-6_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819699209","9789819699216"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-9921-6_29","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"26 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ningbo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/icg\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}