{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:21:14Z","timestamp":1742912474064,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":24,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811394089"},{"type":"electronic","value":"9789811394096"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/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":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-981-13-9409-6_245","type":"book-chapter","created":{"date-parts":[[2020,4,4]],"date-time":"2020-04-04T05:14:18Z","timestamp":1585977258000},"page":"2029-2037","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Deep Deformable Convolutional Method for Age-Invariant Face Recognition"],"prefix":"10.1007","author":[{"given":"Hui","family":"Zhan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shenghong","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haonan","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,4,4]]},"reference":[{"unstructured":"The FG-NET aging database, http:\/\/www.fgnet.rsunit.com\/","key":"245_CR1"},{"issue":"12","key":"245_CR2","doi-asserted-by":"publisher","first-page":"2234","DOI":"10.1109\/TPAMI.2007.70733","volume":"29","author":"X Geng","year":"2007","unstructured":"Geng X, Zhou ZH, Smith-Miles K (2007) Automatic age estimation based on facial aging patterns. IEEE Trans Pattern Anal Mach Intell 29(12):2234\u20132240","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"5","key":"245_CR3","doi-asserted-by":"publisher","first-page":"947","DOI":"10.1109\/TPAMI.2010.14","volume":"32","author":"U Park","year":"2010","unstructured":"Park U, Tong Y, Jain AK (2010) Age-invariant face recognition. IEEE Trans Pattern Anal Mach Intell 32(5):947\u2013954","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"doi-asserted-by":"crossref","unstructured":"Antipov G, Baccouche M, Dugelay JL (2017) Face aging with conditional generative adversarial networks. In: IEEE international conference on image processing (ICIP). IEEE, New York, pp 2089\u20132093","key":"245_CR4","DOI":"10.1109\/ICIP.2017.8296650"},{"doi-asserted-by":"crossref","unstructured":"Yang H, Huang D, Wang Y et al (2018) Learning face age progression: a pyramid architecture of GANS. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 31\u201339","key":"245_CR5","DOI":"10.1109\/CVPR.2018.00011"},{"doi-asserted-by":"crossref","unstructured":"Gong D, Li Z, Lin D et al (2013) Hidden factor analysis for age invariant face recognition. In: Proceedings of the IEEE international conference on computer vision, pp 2872\u20132879","key":"245_CR6","DOI":"10.1109\/ICCV.2013.357"},{"issue":"4","key":"245_CR7","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1109\/LSP.2017.2661983","volume":"24","author":"H Li","year":"2017","unstructured":"Li H, Zou H, Hu H (2017) Modified hidden factor analysis for cross-age face recognition. IEEE Signal Process Lett 24(4):465\u2013469","journal-title":"IEEE Signal Process Lett"},{"doi-asserted-by":"crossref","unstructured":"Chen BC, Chen CS, Hsu WH (2014) Cross-age reference coding for age-invariant face recognition and retrieval. In: European conference on computer vision. Springer, Cham, pp 768\u2013783","key":"245_CR8","DOI":"10.1007\/978-3-319-10599-4_49"},{"doi-asserted-by":"crossref","unstructured":"Wen Y, Li Z, Qiao Y (2016) Latent factor guided convolutional neural networks for age-invariant face recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 4893\u20134901","key":"245_CR9","DOI":"10.1109\/CVPR.2016.529"},{"doi-asserted-by":"crossref","unstructured":"Wang Y, Gong D, Zhou Z et al (2018) Orthogonal deep features decomposition for age-invariant face recognition. In: Proceedings of the European conference on computer vision (ECCV), pp 738\u2013753","key":"245_CR10","DOI":"10.1007\/978-3-030-01267-0_45"},{"doi-asserted-by":"crossref","unstructured":"Dai J, Qi H, Xiong Y et al (2017) Deformable convolutional networks. In: Proceedings of the IEEE international conference on computer vision, pp 764\u2013773","key":"245_CR11","DOI":"10.1109\/ICCV.2017.89"},{"doi-asserted-by":"crossref","unstructured":"Wen Y, Zhang K, Li Z et al (2016) A discriminative feature learning approach for deep face recognition. In: European conference on computer vision. Springer, Cham, pp 499\u2013515","key":"245_CR12","DOI":"10.1007\/978-3-319-46478-7_31"},{"unstructured":"Sun Y, Chen Y, Wang X et al (2014) Deep learning face representation by joint identification-verification. Adv Neural Inf Process Syst, 1988\u20131996","key":"245_CR13"},{"doi-asserted-by":"crossref","unstructured":"Chopra S, Hadsell R, LeCun Y (2005) Learning a similarity metric discriminatively, with application to face verification. CVPR 1:539\u2013546","key":"245_CR14","DOI":"10.1109\/CVPR.2005.202"},{"doi-asserted-by":"crossref","unstructured":"Schroff F, Kalenichenko D, Philbin J (2015) Facenet: a unified embedding for face recognition and clustering. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 815\u2013823","key":"245_CR15","DOI":"10.1109\/CVPR.2015.7298682"},{"doi-asserted-by":"crossref","unstructured":"Liu W, Wen Y, Yu Z et al (2017) Sphereface: deep hypersphere embedding for face recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 212\u2013220","key":"245_CR16","DOI":"10.1109\/CVPR.2017.713"},{"doi-asserted-by":"crossref","unstructured":"Wang F, Xiang X, Cheng J et al (2017) Normface: l2 hypersphere embedding for face verification. In: Proceedings of the 25th ACM international conference on multimedia. ACM, New York, pp 1041\u20131049","key":"245_CR17","DOI":"10.1145\/3123266.3123359"},{"unstructured":"Yu F, Koltun V (2015) Multi-scale context aggregation by dilated convolutions. arXiv preprint arXiv:1511.07122","key":"245_CR18"},{"unstructured":"Huang GB, Ramesh M, Berg T, Learned-Miller E (2007) Labeled faces in the wild: a database for studying face. In: Recognition in unconstrained environments","key":"245_CR19"},{"unstructured":"Yi D, Lei Z, Liao S, Li SZ (2014) Learning face representation from scratch. arXiv:1411.7923","key":"245_CR20"},{"unstructured":"Ricanek K, Tesafaye T (2006) MORPH: a longitudinal image database of normal adult age-progression. In: 7th international conference on automatic face and gesture recognition, 2006. FGR 2006. IEEE Computer Society","key":"245_CR21"},{"issue":"10","key":"245_CR22","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 et al (2016) Joint face detection and alignment using multitask cascaded convolutional networks. IEEE Signal Process Lett 23(10):1499\u20131503","journal-title":"IEEE Signal Process Lett"},{"issue":"3","key":"245_CR23","doi-asserted-by":"publisher","first-page":"1028","DOI":"10.1109\/TIFS.2011.2156787","volume":"6","author":"Z Li","year":"2011","unstructured":"Li Z, Park U, Jain AK (2011) A discriminative model for age invariant face recognition. IEEE Trans Inf Forensics Secur 6(3):1028\u20131037","journal-title":"IEEE Trans Inf Forensics Secur"},{"doi-asserted-by":"crossref","unstructured":"Gong D, Li Z, Tao D et al (2015) A maximum entropy feature descriptor for age invariant face recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 5289\u20135297","key":"245_CR24","DOI":"10.1109\/CVPR.2015.7299166"}],"container-title":["Lecture Notes in Electrical Engineering","Communications, Signal Processing, and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-13-9409-6_245","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T21:44:29Z","timestamp":1642023869000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-13-9409-6_245"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811394089","9789811394096"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-981-13-9409-6_245","relation":{},"ISSN":["1876-1100","1876-1119"],"issn-type":[{"type":"print","value":"1876-1100"},{"type":"electronic","value":"1876-1119"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"4 April 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CSPS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference in Communications, Signal Processing, and Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Urumqi","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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 July 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 July 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8th","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"csps2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}