{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T13:01:38Z","timestamp":1760101298633,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030682378"},{"type":"electronic","value":"9783030682385"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-68238-5_38","type":"book-chapter","created":{"date-parts":[[2021,1,30]],"date-time":"2021-01-30T07:02:43Z","timestamp":1611990163000},"page":"528-543","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Spatio-Temporal Handwriting Imitation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3706-285X","authenticated-orcid":false,"given":"Martin","family":"Mayr","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2278-8500","authenticated-orcid":false,"given":"Martin","family":"Stumpf","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3818-8718","authenticated-orcid":false,"given":"Anguelos","family":"Nicolaou","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9153-1031","authenticated-orcid":false,"given":"Mathias","family":"Seuret","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9550-5284","authenticated-orcid":false,"given":"Andreas","family":"Maier","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0455-3799","authenticated-orcid":false,"given":"Vincent","family":"Christlein","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,1,31]]},"reference":[{"key":"38_CR1","unstructured":"Aksan, E., Hilliges, O.: STCN: stochastic temporal convolutional networks. arXiv e-prints arXiv:1902.06568, February 2019"},{"key":"38_CR2","doi-asserted-by":"crossref","unstructured":"Aksan, E., Pece, F., Hilliges, O.: DeepWriting: making digital ink editable via deep generative modeling. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018. Association for Computing Machinery, New York (2018)","DOI":"10.1145\/3173574.3173779"},{"key":"38_CR3","doi-asserted-by":"crossref","unstructured":"Alonso, E., Moysset, B., Messina, R.: Adversarial generation of handwritten text images conditioned on sequences. In: 2019 International Conference on Document Analysis and Recognition (ICDAR), pp. 481\u2013486, September 2019","DOI":"10.1109\/ICDAR.2019.00083"},{"key":"38_CR4","doi-asserted-by":"publisher","first-page":"1815","DOI":"10.1109\/TIP.2019.2944560","volume":"29","author":"X Bai","year":"2020","unstructured":"Bai, X., Ye, L., Zhu, J., Zhu, L., Komura, T.: Skeleton filter: a self-symmetric filter for skeletonization in noisy text images. IEEE Trans. Image Process. 29, 1815\u20131826 (2020)","journal-title":"IEEE Trans. Image Process."},{"key":"38_CR5","doi-asserted-by":"crossref","unstructured":"Balreira, D.G., Walter, M.: Handwriting synthesis from public fonts. In: 2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 246\u2013253, October 2017","DOI":"10.1109\/SIBGRAPI.2017.39"},{"key":"38_CR6","unstructured":"Chung, J., Kastner, K., Dinh, L., Goel, K., Courville, A.C., Bengio, Y.: A recurrent latent variable model for sequential data. In: Cortes, C., Lawrence, N.D., Lee, D.D., Sugiyama, M., Garnett, R. (eds.) Advances in Neural Information Processing Systems 28, pp. 2980\u20132988. Curran Associates, Inc. (2015)"},{"issue":"1","key":"38_CR7","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1007\/BF01386390","volume":"1","author":"EW Dijkstra","year":"1959","unstructured":"Dijkstra, E.W.: A note on two problems in connexion with graphs. Numer. Math. 1(1), 269\u2013271 (1959)","journal-title":"Numer. Math."},{"key":"38_CR8","unstructured":"Goldhahn, D., Eckart, T., Quasthoff, U.: Building large monolingual dictionaries at the Leipzig corpora collection: from 100 to 200 languages, pp. 759\u2013765 (2012)"},{"key":"38_CR9","doi-asserted-by":"crossref","unstructured":"Gomez, R., Furkan Biten, A., Gomez, L., Gibert, J., Karatzas, D., Rusi\u00f1ol, M.: Selective style transfer for text. In: 2019 International Conference on Document Analysis and Recognition (ICDAR), pp. 805\u2013812, September 2019","DOI":"10.1109\/ICDAR.2019.00134"},{"key":"38_CR10","unstructured":"Graves, A.: Generating sequences with recurrent neural networks. arXiv e-prints arXiv:1308.0850, August 2013"},{"key":"38_CR11","doi-asserted-by":"crossref","unstructured":"Haines, T.S.F., Mac Aodha, O., Brostow, G.J.: My text in your handwriting. ACM Trans. Graph. 35(3) (2016)","DOI":"10.1145\/2886099"},{"key":"38_CR12","doi-asserted-by":"crossref","unstructured":"Isola, P., Zhu, J., Zhou, T., Efros, A.A.: Image-to-image translation with conditional adversarial networks. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5967\u20135976, July 2017","DOI":"10.1109\/CVPR.2017.632"},{"key":"38_CR13","doi-asserted-by":"crossref","unstructured":"Kang, L., Riba, P., Wang, Y., Rusi\u00f1ol, M., Forn\u00e9s, A., Villegas, M.: GANwriting: content-conditioned generation of styled handwritten word images. arXiv e-prints arXiv:2003.02567, March 2020","DOI":"10.1007\/978-3-030-58592-1_17"},{"key":"38_CR14","doi-asserted-by":"crossref","unstructured":"Kleber, F., Fiel, S., Diem, M., Sablatnig, R.: CVL-DataBase: an off-line database for writer retrieval, writer identification and word spotting. In: Proceedings of the 2013 12th International Conference on Document Analysis and Recognition, ICDAR 2013, pp. 560\u2013564. IEEE Computer Society, Washington, DC (2013)","DOI":"10.1109\/ICDAR.2013.117"},{"issue":"6","key":"38_CR15","first-page":"462","volume":"56","author":"T Lee","year":"1994","unstructured":"Lee, T., Kashyap, R., Chu, C.: Building skeleton models via 3-D medial surface axis thinning algorithms. CVGIP: Graph. Models Image Process. 56(6), 462\u2013478 (1994)","journal-title":"CVGIP: Graph. Models Image Process."},{"key":"38_CR16","doi-asserted-by":"crossref","unstructured":"Lian, Z., Zhao, B., Chen, X., Xiao, J.: EasyFont: a style learning-based system to easily build your large-scale handwriting fonts. ACM Trans. Graph. 38(1) (2018)","DOI":"10.1145\/3213767"},{"key":"38_CR17","doi-asserted-by":"crossref","unstructured":"Liwicki, M., Bunke, H.: IAM-OnDB - an on-line English sentence database acquired from handwritten text on a whiteboard. In: 8th International Conference on Document Analysis and Recognition, vol. 2, pp. 956\u2013961 (2005)","DOI":"10.1109\/ICDAR.2005.132"},{"key":"38_CR18","doi-asserted-by":"crossref","unstructured":"Nakamura, K., Miyazaki, E., Nitta, N., Babaguchi, N.: Generating handwritten character clones from an incomplete seed character set using collaborative filtering. In: 2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR), pp. 68\u201373, August 2018","DOI":"10.1109\/ICFHR-2018.2018.00021"},{"key":"38_CR19","doi-asserted-by":"crossref","unstructured":"Nicolaou, A., Bagdanov, A.D., Liwicki, M., Karatzas, D.: Sparse radial sampling LBP for writer identification. In: 2015 13th International Conference on Document Analysis and Recognition (ICDAR), pp. 716\u2013720. IEEE (2015)","DOI":"10.1109\/ICDAR.2015.7333855"},{"key":"38_CR20","doi-asserted-by":"crossref","unstructured":"P\u00e9rez, P., Gangnet, M., Blake, A.: Poisson image editing. In: ACM SIGGRAPH 2003 Papers, pp. 313\u2013318 (2003)","DOI":"10.1145\/1201775.882269"},{"key":"38_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2014 MICCAI 2015","author":"O Ronneberger","year":"2015","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-Net: convolutional networks for biomedical image segmentation. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9351, pp. 234\u2013241. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28"},{"key":"38_CR22","doi-asserted-by":"crossref","unstructured":"Seuret, M., Chen, K., Eichenbergery, N., Liwicki, M., Ingold, R.: Gradient-domain degradations for improving historical documents images layout analysis. In: 2015 13th International Conference on Document Analysis and Recognition (ICDAR), pp. 1006\u20131010. IEEE (2015)","DOI":"10.1109\/ICDAR.2015.7333913"},{"issue":"11","key":"38_CR23","doi-asserted-by":"publisher","first-page":"5298","DOI":"10.1109\/TIP.2017.2735182","volume":"26","author":"W Shen","year":"2017","unstructured":"Shen, W., Zhao, K., Jiang, Y., Wang, Y., Bai, X., Yuille, A.: DeepSkeleton: learning multi-task scale-associated deep side outputs for object skeleton extraction in natural images. IEEE Trans. Image Process. 26(11), 5298\u20135311 (2017)","journal-title":"IEEE Trans. Image Process."},{"issue":"2","key":"38_CR24","doi-asserted-by":"publisher","first-page":"952","DOI":"10.1109\/TIP.2018.2873064","volume":"28","author":"S Yang","year":"2019","unstructured":"Yang, S., Liu, J., Yang, W., Guo, Z.: Context-aware text-based binary image stylization and synthesis. IEEE Trans. Image Process. 28(2), 952\u2013964 (2019)","journal-title":"IEEE Trans. Image Process."},{"issue":"3","key":"38_CR25","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1145\/357994.358023","volume":"27","author":"TY Zhang","year":"1984","unstructured":"Zhang, T.Y., Suen, C.Y.: A fast parallel algorithm for thinning digital patterns. Commun. ACM 27(3), 236\u2013239 (1984)","journal-title":"Commun. ACM"},{"key":"38_CR26","doi-asserted-by":"crossref","unstructured":"Zhu, J., Park, T., Isola, P., Efros, A.A.: Unpaired image-to-image translation using cycle-consistent adversarial networks. In: 2017 IEEE International Conference on Computer Vision (ICCV), pp. 2242\u20132251, October 2017","DOI":"10.1109\/ICCV.2017.244"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2020 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-68238-5_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,29]],"date-time":"2025-01-29T23:05:21Z","timestamp":1738191921000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-68238-5_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030682378","9783030682385"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-68238-5_38","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"31 January 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Glasgow","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 August 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2020.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"OpenReview","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5025","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1360","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"27% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually due to the COVID-19 pandemic. From the ECCV Workshops 249 full papers, 18 short papers, and 21 further contributions were published out of a total of 467 submissions.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}