{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T14:22:38Z","timestamp":1781187758824,"version":"3.54.1"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2016YFB1001001"],"award-info":[{"award-number":["2016YFB1001001"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61603391"],"award-info":[{"award-number":["61603391"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61925204"],"award-info":[{"award-number":["61925204"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61427811"],"award-info":[{"award-number":["61427811"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Italian Ministry of Research","award":["PRIN 2015"],"award-info":[{"award-number":["PRIN 2015"]}]},{"name":"Italian Ministry of Research","award":["SPADA"],"award-info":[{"award-number":["SPADA"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans.Inform.Forensic Secur."],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/tifs.2020.2980792","type":"journal-article","created":{"date-parts":[[2020,3,17]],"date-time":"2020-03-17T02:20:22Z","timestamp":1584411622000},"page":"2960-2972","source":"Crossref","is-referenced-by-count":16,"title":["Facial Age and Expression Synthesis Using Ordinal Ranking Adversarial Networks"],"prefix":"10.1109","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4696-8848","authenticated-orcid":false,"given":"Yunlian","family":"Sun","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9008-222X","authenticated-orcid":false,"given":"Jinhui","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4029-9935","authenticated-orcid":false,"given":"Zhenan","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3406-3048","authenticated-orcid":false,"given":"Massimo","family":"Tistarelli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.532"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995437"},{"key":"ref33","first-page":"861","article-title":"Facial expression editing in video using a temporally-smooth factorization","author":"yang","year":"2012","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref32","first-page":"57","article-title":"A data-driven approach for facial expression synthesis in video","author":"li","year":"2012","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15549-9_25"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/1198555.1198589"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"115","DOI":"10.7551\/mitpress\/1113.003.0010","article-title":"Large margin rank boundaries for ordinal regression","author":"herbrich","year":"2000","journal-title":"Advances in Large Margin Classifiers"},{"key":"ref36","article-title":"Geometry-contrastive GAN for facial expression transfer","author":"qiao","year":"2018","journal-title":"arXiv 1802 01822"},{"key":"ref35","article-title":"Semantic facial expression editing using autoencoded flow","author":"yeh","year":"2016","journal-title":"arXiv 1611 09961"},{"key":"ref34","article-title":"Generating facial expressions with deep belief nets","author":"susskind","year":"2008","journal-title":"Affective Computing"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.426"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2006.877398"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1111\/1467-8659.t01-1-00712"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"1955","DOI":"10.1109\/TPAMI.2010.36","article-title":"Age synthesis and estimation via faces: A survey","volume":"32","author":"fu","year":"2010","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvlc.2009.01.011"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/34.993553"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1002\/vis.4340060403"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2342896.2343002"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1098\/rspb.1995.0021"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1109\/MCG.2004.1297008","article-title":"Image-based surface detail transfer","volume":"24","author":"liu","year":"2004","journal-title":"IEEE Comput Graph Appl"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/38.946630"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/38.403830"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref59","year":"2019","journal-title":"Face++"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.116"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2010.5543262"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2011.07.002"},{"key":"ref55","first-page":"1","article-title":"The MUG facial expression database","author":"aifanti","year":"2010","journal-title":"Proc 11th Int Workshop Image Anal Multimedia Interact Services"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/FGR.2006.78"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00917"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00916"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.463"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00011"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.86"},{"key":"ref12","first-page":"7939","article-title":"Face aging with identity-preserved conditional generative adversarial networks","author":"wang","year":"2018","journal-title":"Proc IEEE Conf Comput Vis and Pattern Recog"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2907973"},{"key":"ref14","first-page":"6781","article-title":"Exprgan: Facial expression editing with controllable expression intensity","author":"ding","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref15","article-title":"Differential generative adversarial networks: Synthesizing non-linear facial variations with limited number of training data","author":"gu","year":"2017","journal-title":"arXiv 1711 10267"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240612"},{"key":"ref17","first-page":"818","article-title":"GANimation: Anatomically-aware facial animation from a single image","author":"pumarola","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACII.2017.8273626"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.187"},{"key":"ref4","first-page":"1","article-title":"Computer facial animation: A survey","author":"deng","year":"2008","journal-title":"Data-Driven 3D Facial Animation"},{"key":"ref3","author":"parke","year":"2010","journal-title":"Computer Facial Animation"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.261"},{"key":"ref5","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.403"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.622"},{"key":"ref49","article-title":"Conditional generative adversarial nets","author":"mirza","year":"2014","journal-title":"arXiv 1411 1784"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296650"},{"key":"ref46","first-page":"1","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"radford","year":"2016","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2356192"},{"key":"ref48","first-page":"5767","article-title":"Improved training of Wasserstein GANs","author":"gulrajani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref47","first-page":"214","article-title":"Wasserstein generative adversarial networks","author":"arjovsky","year":"2017","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref42","first-page":"865","article-title":"Ordinal regression by extended binary classification","author":"li","year":"2007","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00049"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2013.538"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15558-1_47"}],"container-title":["IEEE Transactions on Information Forensics and Security"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10206\/8833568\/09036898.pdf?arnumber=9036898","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T07:34:39Z","timestamp":1722584079000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9036898\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":60,"URL":"https:\/\/doi.org\/10.1109\/tifs.2020.2980792","relation":{},"ISSN":["1556-6013","1556-6021"],"issn-type":[{"value":"1556-6013","type":"print"},{"value":"1556-6021","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}