{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T15:18:20Z","timestamp":1743088700895,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031442094"},{"type":"electronic","value":"9783031442100"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-44210-0_40","type":"book-chapter","created":{"date-parts":[[2023,9,21]],"date-time":"2023-09-21T08:02:34Z","timestamp":1695283354000},"page":"495-507","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-frame Tilt-angle Face Recognition Using Fusion Re-ranking"],"prefix":"10.1007","author":[{"given":"Wenqin","family":"Song","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhen","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kangli","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongyuan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,9,22]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Arandjelovic, R., Gronat, P., Torii, A., Pajdla, T., Sivic, J.: NetVLAD: CNN architecture for weakly supervised place recognition. In: CVPR, pp. 5297\u20135307 (2016)","key":"40_CR1","DOI":"10.1109\/CVPR.2016.572"},{"doi-asserted-by":"crossref","unstructured":"Deng, J., Guo, J., Ververas, E., Kotsia, I., Zafeiriou, S.: RetinaFace: single-shot multi-level face localisation in the wild. In: CVPR, pp. 5203\u20135212 (2020)","key":"40_CR2","DOI":"10.1109\/CVPR42600.2020.00525"},{"doi-asserted-by":"crossref","unstructured":"Deng, J., Guo, J., Xue, N., Zafeiriou, S.: ArcFace: additive angular margin loss for deep face recognition. In: CVPR, pp. 4690\u20134699 (2019)","key":"40_CR3","DOI":"10.1109\/CVPR.2019.00482"},{"doi-asserted-by":"crossref","unstructured":"Gong, S., Shi, Y., Kalka, N.D., Jain, A.K.: Video face recognition: Component-wise feature aggregation network (c-fan). In: ICB, pp. 1\u20138. IEEE (2019)","key":"40_CR4","DOI":"10.1109\/ICB45273.2019.8987385"},{"key":"40_CR5","doi-asserted-by":"publisher","first-page":"863","DOI":"10.1007\/s11042-009-0417-2","volume":"51","author":"M Grgic","year":"2011","unstructured":"Grgic, M., Delac, K., Grgic, S.: SCface-surveillance cameras face database. Multimedia Tools Appl. 51, 863\u2013879 (2011). https:\/\/doi.org\/10.1007\/s11042-009-0417-2","journal-title":"Multimedia Tools Appl."},{"doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: CVPR, pp. 770\u2013778 (2016)","key":"40_CR6","DOI":"10.1109\/CVPR.2016.90"},{"doi-asserted-by":"crossref","unstructured":"H\u00f6rmann, S., Cao, Z., Knoche, M., Herzog, F., Rigoll, G.: Face aggregation network for video face recognition. In: ICIP, pp. 2973\u20132977 (2021)","key":"40_CR7","DOI":"10.1109\/ICIP42928.2021.9506037"},{"doi-asserted-by":"crossref","unstructured":"Klein, B., Wolf, L., Afek, Y.: A dynamic convolutional layer for short range weather prediction. In: CVPR, pp. 4840\u20134848 (2015)","key":"40_CR8","DOI":"10.1109\/CVPR.2015.7299117"},{"key":"40_CR9","doi-asserted-by":"publisher","first-page":"107579","DOI":"10.1016\/j.patcog.2020.107579","volume":"109","author":"D Liu","year":"2021","unstructured":"Liu, D., Gao, X., Wang, N., Peng, C., Li, J.: Iterative local re-ranking with attribute guided synthesis for face sketch recognition. Pattern Recogn. 109, 107579 (2021)","journal-title":"Pattern Recogn."},{"issue":"9","key":"40_CR10","doi-asserted-by":"publisher","first-page":"7279","DOI":"10.1109\/JIOT.2020.3038776","volume":"8","author":"Z Ou","year":"2020","unstructured":"Ou, Z., Hu, Y., Song, M., Yan, Z., Hui, P.: Redundancy removing aggregation network with distance calibration for video face recognition. IEEE Internet Things J. 8(9), 7279\u20137287 (2020)","journal-title":"IEEE Internet Things J."},{"key":"40_CR11","doi-asserted-by":"publisher","first-page":"3646","DOI":"10.1109\/TMM.2020.3029886","volume":"23","author":"J Ouyang","year":"2020","unstructured":"Ouyang, J., Zhou, W., Wang, M., Tian, Q., Li, H.: Collaborative image relevance learning for visual re-ranking. IEEE Trans. Multimedia 23, 3646\u20133656 (2020)","journal-title":"IEEE Trans. Multimedia"},{"doi-asserted-by":"crossref","unstructured":"Phan, H., Nguyen, A.: DeepFace-EMD: re-ranking using patch-wise earth mover\u2019s distance improves out-of-distribution face identification. In: CVPR, pp. 20259\u201320269 (2022)","key":"40_CR12","DOI":"10.1109\/CVPR52688.2022.01962"},{"doi-asserted-by":"crossref","unstructured":"Rao, Y., Lu, J., Zhou, J.: Attention-aware deep reinforcement learning for video face recognition. In: CVPR, pp. 3931\u20133940 (2017)","key":"40_CR13","DOI":"10.1109\/ICCV.2017.424"},{"issue":"6","key":"40_CR14","doi-asserted-by":"publisher","first-page":"701","DOI":"10.1007\/s11263-018-1135-x","volume":"127","author":"Y Rao","year":"2019","unstructured":"Rao, Y., Lu, J., Zhou, J.: Learning discriminative aggregation network for video-based face recognition and person re-identification. Int. J. Comput. Vis. 127(6), 701\u2013718 (2019)","journal-title":"Int. J. Comput. Vis."},{"doi-asserted-by":"crossref","unstructured":"Ren, S., Cao, X., Wei, Y., Sun, J.: Face alignment at 3000 fps via regressing local binary features. In: CVPR, pp. 1685\u20131692 (2014)","key":"40_CR15","DOI":"10.1109\/CVPR.2014.218"},{"key":"40_CR16","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1016\/j.patrec.2021.03.021","volume":"146","author":"J Rivero-Hern\u00e1ndez","year":"2021","unstructured":"Rivero-Hern\u00e1ndez, J., Morales-Gonz\u00e1lez, A., Denis, L.G., M\u00e9ndez-V\u00e1zquez, H.: Ordered weighted aggregation networks for video face recognition. Pattern Recogn. Lett. 146, 237\u2013243 (2021)","journal-title":"Pattern Recogn. Lett."},{"unstructured":"Shi, X., et al.: Convolutional LSTM network: a machine learning approach for precipitation nowcasting. In: Advances in Neural Information Processing Systems, pp. 802\u2013810 (2015)","key":"40_CR17"},{"key":"40_CR18","first-page":"886","volume":"4","author":"P Sivaram","year":"2019","unstructured":"Sivaram, P.: Mudunuri, Shashanka, Venkataramanan, Soma, Biswas: dictionary alignment with re-ranking for low-resolution NIR-VIS face recognition. IEEE Trans. Inf. Forensics Secur. 4, 886\u2013896 (2019)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"doi-asserted-by":"crossref","unstructured":"Wang, N., Wang, Z., He, Z., Huang, B., Zhou, L., Han, Z.: A tilt-angle face dataset and its validation. In: ICIP, pp. 894\u2013898. IEEE (2021)","key":"40_CR19","DOI":"10.1109\/ICIP42928.2021.9506052"},{"doi-asserted-by":"crossref","unstructured":"Yang, J., et al.: Neural aggregation network for video face recognition. In: CVPR, pp. 4362\u20134371 (2017)","key":"40_CR20","DOI":"10.1109\/CVPR.2017.554"},{"issue":"10","key":"40_CR21","doi-asserted-by":"publisher","first-page":"1499","DOI":"10.1109\/LSP.2016.2603342","volume":"23","author":"K Zhang","year":"2016","unstructured":"Zhang, K., Zhang, Z., Li, Z., Qiao, Y.: Joint face detection and alignment using multitask cascaded convolutional networks. IEEE Sig. Process. Lett. 23(10), 1499\u20131503 (2016)","journal-title":"IEEE Sig. Process. Lett."},{"key":"40_CR22","doi-asserted-by":"publisher","first-page":"2413","DOI":"10.3233\/JIFS-212382","volume":"44","author":"L Zhang","year":"2023","unstructured":"Zhang, L., Wang, H., Wang, H.: A feature map aggregation network for unconstrained video face recognition. J. Intell. Fuzzy Syst. 44, 2413\u20132425 (2023)","journal-title":"J. Intell. Fuzzy Syst."},{"key":"40_CR23","doi-asserted-by":"publisher","first-page":"79301","DOI":"10.1109\/ACCESS.2022.3193787","volume":"10","author":"M Zhang","year":"2022","unstructured":"Zhang, M., Liu, R., Deguchi, D., Murase, H.: Context-aware contribution estimation for feature aggregation in video face recognition. IEEE Access 10, 79301\u201379310 (2022)","journal-title":"IEEE Access"},{"key":"40_CR24","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1007\/978-3-030-20890-5_3","volume-title":"Computer Vision \u2013 ACCV 2018","author":"Y Zhong","year":"2019","unstructured":"Zhong, Y., Arandjelovi\u0107, R., Zisserman, A.: GhostVLAD for set-based face recognition. In: Jawahar, C.V., Li, H., Mori, G., Schindler, K. (eds.) ACCV 2018. LNCS, vol. 11362, pp. 35\u201350. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-20890-5_3"},{"doi-asserted-by":"crossref","unstructured":"Zhong, Z., Zheng, L., Cao, D., Li, S.: Re-ranking person re-identification with k-reciprocal encoding. In: CVPR, pp. 1318\u20131327 (2017)","key":"40_CR25","DOI":"10.1109\/CVPR.2017.389"},{"key":"40_CR26","doi-asserted-by":"publisher","first-page":"3456","DOI":"10.1109\/TMM.2022.3161189","volume":"25","author":"Y Zhou","year":"2022","unstructured":"Zhou, Y., Wang, Y., Chau, L.P.: Moving towards centers: re-ranking with attention and memory for re-identification. IEEE Trans. Multimedia 25, 3456\u20133468 (2022)","journal-title":"IEEE Trans. Multimedia"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks and Machine Learning \u2013 ICANN 2023"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-44210-0_40","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,21]],"date-time":"2023-09-21T08:08:39Z","timestamp":1695283719000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-44210-0_40"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031442094","9783031442100"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-44210-0_40","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"22 September 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Heraklion","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"32","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icann2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/e-nns.org\/icann2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"easyacademia.org","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"947","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":"426","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":"22","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":"45% - 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":"2.4","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":"4","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"type of other papers accepted  : 9 Abstract","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)"}}]}}