{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T21:25:01Z","timestamp":1758057901673,"version":"3.44.0"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032046291","type":"print"},{"value":"9783032046307","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T00:00:00Z","timestamp":1757980800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T00:00:00Z","timestamp":1757980800000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-04630-7_19","type":"book-chapter","created":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T23:47:16Z","timestamp":1757980036000},"page":"338-350","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Towards Scene Text Recognition in\u00a0Rainy Weather Conditions"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-4636-2670","authenticated-orcid":false,"given":"Anandita","family":"Jamwal","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-6668-925X","authenticated-orcid":false,"given":"Lalithya","family":"Koneti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2640-8528","authenticated-orcid":false,"given":"Manikandan","family":"Ravikiran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8889-9847","authenticated-orcid":false,"given":"Dinesh","family":"Singh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0773-3480","authenticated-orcid":false,"given":"Rohit","family":"Saluja","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,9,16]]},"reference":[{"key":"19_CR1","doi-asserted-by":"crossref","unstructured":"Reddy, S., Mathew, M., Gomez, L., Rusinol, M., Karatzas, D., Jawahar, C.V.: RoadText-1K: text detection & recognition dataset for driving videos. In: 2020 IEEE International Conference on Robotics and Automation (ICRA), pp. 11074\u201311080. IEEE (2020)","DOI":"10.1109\/ICRA40945.2020.9196577"},{"key":"19_CR2","doi-asserted-by":"crossref","unstructured":"Baek, J., et al.: What is wrong with scene text recognition model comparisons? Dataset and model analysis. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 4715\u20134723 (2019)","DOI":"10.1109\/ICCV.2019.00481"},{"key":"19_CR3","doi-asserted-by":"crossref","unstructured":"Fang, S., Xie, H., Wang, Y., Mao, Z., Zhang, Y.: Read like humans: autonomous, bidirectional and iterative language modeling for scene text recognition. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7098\u20137107 (2021)","DOI":"10.1109\/CVPR46437.2021.00702"},{"key":"19_CR4","doi-asserted-by":"crossref","unstructured":"Yang, W., Liu, J., Feng, J.: Frame-consistent recurrent video deraining with dual-level flow. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1661\u20131670 (2019)","DOI":"10.1109\/CVPR.2019.00176"},{"key":"19_CR5","doi-asserted-by":"crossref","unstructured":"Zheng, S., Lu, C., Narasimhan, S.G.: Tpsence: towards artifact-free realistic rain generation for deraining and object detection in rain. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 5394\u20135403 (2024)","DOI":"10.1109\/WACV57701.2024.00531"},{"key":"19_CR6","unstructured":"Yu, F.: BDD100K: a large-scale diverse driving video database. BAIR (Berkeley Artificial Intelligence Research) Blog (2018). https:\/\/bair.berkeley.edu\/blog\/2018\/05\/30\/bdd"},{"issue":"11","key":"19_CR7","doi-asserted-by":"crossref","first-page":"2298","DOI":"10.1109\/TPAMI.2016.2646371","volume":"39","author":"B Shi","year":"2016","unstructured":"Shi, B., Bai, X., Yao, C.: An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition. IEEE Trans. Pattern Anal. Mach. Intell. 39(11), 2298\u20132304 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"19_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1007\/978-3-030-86549-8_21","volume-title":"Document Analysis and Recognition \u2013 ICDAR 2021","author":"R Atienza","year":"2021","unstructured":"Atienza, R.: Vision transformer for fast and efficient scene text recognition. In: Llad\u00f3s, J., Lopresti, D., Uchida, S. (eds.) ICDAR 2021. LNCS, vol. 12821, pp. 319\u2013334. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-86549-8_21"},{"key":"19_CR9","doi-asserted-by":"crossref","unstructured":"Bautista, D., Atienza, R.: Scene text recognition with permuted autoregressive sequence models. In: European Conference on Computer Vision (ECCV), pp. 178\u2013196. Springer, Cham (2022)","DOI":"10.1007\/978-3-031-19815-1_11"},{"issue":"2","key":"19_CR10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3440756","volume":"54","author":"X Chen","year":"2021","unstructured":"Chen, X., Jin, L., Zhu, Y., Luo, C., Wang, T.: Text recognition in the wild: a survey. ACM Comput. Surv. (CSUR) 54(2), 1\u201335 (2021)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"19_CR11","doi-asserted-by":"crossref","unstructured":"Graves, A., Fern\u00e1ndez, S., Gomez, F., Schmidhuber, J.: Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks. In: Proceedings of the 23rd International Conference on Machine Learning (ICML), pp. 369\u2013376 (2006)","DOI":"10.1145\/1143844.1143891"},{"key":"19_CR12","doi-asserted-by":"crossref","unstructured":"Karatzas, D., et al.: ICDAR 2013 robust reading competition. In: 12th International Conference on Document Analysis and Recognition (ICDAR), pp. 1484\u20131493. IEEE (2013)","DOI":"10.1109\/ICDAR.2013.221"},{"key":"19_CR13","doi-asserted-by":"crossref","unstructured":"Karatzas, D., et al.: ICDAR 2015 competition on robust reading. In: 13th International Conference on Document Analysis and Recognition (ICDAR), pp. 1156\u20131160. IEEE (2015)","DOI":"10.1109\/ICDAR.2015.7333942"},{"key":"19_CR14","doi-asserted-by":"crossref","unstructured":"Nayef, N., et al.: ICDAR2017 robust reading challenge on multi-lingual scene text detection and script identification\u2014RRC-MLT. In: 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), vol. 1, pp. 1454\u20131459. IEEE (2017)","DOI":"10.1109\/ICDAR.2017.237"},{"issue":"3","key":"19_CR15","doi-asserted-by":"crossref","first-page":"996","DOI":"10.1145\/1141911.1141985","volume":"25","author":"K Garg","year":"2006","unstructured":"Garg, K., Nayar, S.K.: Photorealistic rendering of rain streaks. ACM Trans. Graph. 25(3), 996\u20131002 (2006)","journal-title":"ACM Trans. Graph."},{"key":"19_CR16","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/s11263-006-0028-6","volume":"75","author":"K Garg","year":"2007","unstructured":"Garg, K., Nayar, S.K.: Vision and rain. Int. J. Comput. Vision 75, 3\u201327 (2007)","journal-title":"Int. J. Comput. Vision"},{"key":"19_CR17","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.cag.2015.04.007","volume":"50","author":"Y Weber","year":"2015","unstructured":"Weber, Y., Jolivet, V., Gilet, G., Ghazanfarpour, D.: A multiscale model for rain rendering in real-time. Comput. Graph. 50, 61\u201370 (2015)","journal-title":"Comput. Graph."},{"key":"19_CR18","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1007\/s11263-008-0200-2","volume":"86","author":"PC Barnum","year":"2010","unstructured":"Barnum, P.C., Narasimhan, S., Kanade, T.: Analysis of rain and snow in frequency space. Int. J. Comput. Vision 86, 256\u2013274 (2010)","journal-title":"Int. J. Comput. Vision"},{"issue":"4","key":"19_CR19","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1016\/j.cag.2006.03.013","volume":"30","author":"P Rousseau","year":"2006","unstructured":"Rousseau, P., Jolivet, V., Ghazanfarpour, D.: Realistic real-time rain rendering. Comput. Graph. 30(4), 507\u2013518 (2006)","journal-title":"Comput. Graph."},{"key":"19_CR20","doi-asserted-by":"crossref","unstructured":"Tatarchuk, N.: Artist-directable real-time rain rendering in city environments. In: ACM SIGGRAPH 2006 Courses, pp. 23\u201364 (2006). Li, Y., Tan, R.T., Guo, X., Lu, J., Brown, M.S.: Rain streak removal using layer priors. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2736\u20132744 (2016)","DOI":"10.1145\/1185657.1185828"},{"key":"19_CR21","doi-asserted-by":"crossref","unstructured":"Li, Y., Tan, R.T., Guo, X., Lu, J., Brown, M.S.: Rain streak removal using layer priors. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2736\u20132744 (2016)","DOI":"10.1109\/CVPR.2016.299"},{"key":"19_CR22","doi-asserted-by":"crossref","unstructured":"Luo, Y., Xu, Y., Ji, H.: Removing rain from a single image via discriminative sparse coding. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp. 3397\u20133405 (2015)","DOI":"10.1109\/ICCV.2015.388"},{"key":"19_CR23","doi-asserted-by":"crossref","unstructured":"Yang, W., Tan, R.T., Feng, J., Liu, J., Guo, Z., Yan, S.: Deep joint rain detection and removal from a single image. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1357\u20131366 (2017)","DOI":"10.1109\/CVPR.2017.183"},{"key":"19_CR24","doi-asserted-by":"crossref","unstructured":"Hu, X., Fu, C.-W., Zhu, L., Heng, P.-A.: Depth-attentional features for single-image rain removal. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 8022\u20138031 (2019)","DOI":"10.1109\/CVPR.2019.00821"},{"key":"19_CR25","doi-asserted-by":"crossref","unstructured":"Zhu, J.-Y., Park, T., Isola, P., Efros, A.A.: Unpaired image-to-image translation using cycle-consistent adversarial networks. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp. 2223\u20132232 (2017)","DOI":"10.1109\/ICCV.2017.244"},{"key":"19_CR26","unstructured":"Liu, M.-Y., Breuel, T., Kautz, J.: Unsupervised image-to-image translation networks. In: Advances in Neural Information Processing Systems, vol. 30 (2017)"},{"key":"19_CR27","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1007\/978-3-030-58545-7_19","volume-title":"Computer Vision \u2013 ECCV 2020","author":"T Park","year":"2020","unstructured":"Park, T., Efros, A.A., Zhang, R., Zhu, J.-Y.: Contrastive learning for unpaired image-to-image translation. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12354, pp. 319\u2013345. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58545-7_19"},{"key":"19_CR28","doi-asserted-by":"crossref","unstructured":"Hu, X., Zhou, X., Huang, Q., Shi, Z., Sun, L., Li, Q.: QS-Attn: query-selected attention for contrastive learning in I2I translation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 18291\u201318300 (2022)","DOI":"10.1109\/CVPR52688.2022.01775"},{"key":"19_CR29","doi-asserted-by":"crossref","unstructured":"Zhan, F., Zhang, J., Yu, Y., Wu, R., Lu, S.: Modulated contrast for versatile image synthesis. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 18280\u201318290 (2022)","DOI":"10.1109\/CVPR52688.2022.01774"},{"key":"19_CR30","doi-asserted-by":"crossref","unstructured":"Li, M., et al.: TrOCR: transformer-based optical character recognition with pre-trained models. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, no. 11, pp. 13094\u201313102 (2023)","DOI":"10.1609\/aaai.v37i11.26538"}],"container-title":["Lecture Notes in Computer Science","Document Analysis and Recognition \u2013 ICDAR 2025"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-04630-7_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T23:47:29Z","timestamp":1757980049000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-04630-7_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,16]]},"ISBN":["9783032046291","9783032046307"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-04630-7_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,16]]},"assertion":[{"value":"16 September 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICDAR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Document Analysis and Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wuhan","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":"16 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icdar2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iapr.org\/icdar2025","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}