{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T16:20:08Z","timestamp":1761582008996,"version":"3.37.3"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"name":"National Key Technology Research and Development Project of China","award":["2017YFB1002601"],"award-info":[{"award-number":["2017YFB1002601"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61876008","8137119"],"award-info":[{"award-number":["61876008","8137119"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Biom. Behav. Identity Sci."],"published-print":{"date-parts":[[2021,1]]},"DOI":"10.1109\/tbiom.2020.3025466","type":"journal-article","created":{"date-parts":[[2020,9,21]],"date-time":"2020-09-21T21:24:20Z","timestamp":1600723460000},"page":"6-15","source":"Crossref","is-referenced-by-count":9,"title":["Depth-Based 3D Face Reconstruction and Pose Estimation Using Shape-Preserving Domain Adaptation"],"prefix":"10.1109","volume":"3","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7661-5384","authenticated-orcid":false,"given":"Yicheng","family":"Zhong","sequence":"first","affiliation":[{"name":"Department of Machine Intelligence, Key Laboratory of Machine Perception (MOE), Peking University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8520-3509","authenticated-orcid":false,"given":"Yuru","family":"Pei","sequence":"additional","affiliation":[{"name":"Department of Machine Intelligence, Key Laboratory of Machine Perception (MOE), Peking University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peixin","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Machine Intelligence, Key Laboratory of Machine Perception (MOE), Peking University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuke","family":"Guo","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Luoyang Institute of Science and Technology, Luoyang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gengyu","family":"Ma","sequence":"additional","affiliation":[{"name":"Department of IT, uSens Incorporation, San Jose, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meng","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of IT, Huawei Technologies Company Ltd., Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Bai","sequence":"additional","affiliation":[{"name":"Department of IT, Huawei Technologies Company Ltd., Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenhai","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of IT, Huawei Technologies Company Ltd., Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5860-4673","authenticated-orcid":false,"given":"Hongbin","family":"Zha","sequence":"additional","affiliation":[{"name":"Department of Machine Intelligence, Key Laboratory of Machine Perception (MOE), Peking University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","year":"2015","author":"radford","key":"ref39"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00133"},{"journal-title":"Noise2Void—Learning denoising from single noisy images","year":"2018","author":"krull","key":"ref32"},{"journal-title":"Noise2self Blind denoising by self-supervision","year":"2019","author":"batson","key":"ref31"},{"key":"ref30","first-page":"2965","article-title":"Noise2Noise: Learning image restoration without clean data","author":"lehtinen","year":"2018","journal-title":"Proc 35th Int Conf Mech Learn (ICML)"},{"journal-title":"Adversarial autoencoders","year":"2015","author":"makhzani","key":"ref37"},{"key":"ref36","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00333"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2017.00017"},{"key":"ref28","first-page":"438","article-title":"Reconstruction-based pairwise depth dataset for depth image enhancement using CNN","author":"jeon","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2890623"},{"key":"ref29","first-page":"155","article-title":"DDRNet: Depth map denoising and refinement for consumer depth cameras using cascaded CNNs","author":"yan","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref2","first-page":"787","article-title":"High-fidelity pose and expression normalization for face recognition in the wild","author":"zhu","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1145\/2897824.2925933","article-title":"Perspective-aware manipulation of portrait photos","volume":"35","author":"fried","year":"2016","journal-title":"ACM Trans Graph"},{"key":"ref20","first-page":"32","article-title":"Face denoising and 3D reconstruction from a single depth image","author":"zhong","year":"2020","journal-title":"Proc 15th IEEE Int Conf Autom Face Gesture Recognit"},{"key":"ref22","first-page":"28","article-title":"Reconstruction of personalized 3D face rigs from monocular video","volume":"35","author":"garrido","year":"2016","journal-title":"ACM Trans Graph"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.598"},{"key":"ref24","first-page":"5","article-title":"MoFA: Model-based deep convolutional face autoencoder for unsupervised monocular reconstruction","volume":"2","author":"tewari","year":"2017","journal-title":"Proc IEEE Int Conf Comput Vis (ICCV)"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2017.08.008"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.83"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00270"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00113"},{"key":"ref51","first-page":"235","article-title":"3D-CODED: 3D correspondences by deep deformation","author":"groueix","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2015.7350989"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2778152"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00795"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00027"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.117"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/311535.311556"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.416"},{"key":"ref40","first-page":"5767","article-title":"Improved training of Wasserstein GANs","author":"gulrajani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2014.12.004"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2903724"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2885472"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.56"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.589"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00473"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13382"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247980"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.583"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995458"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1145\/2010324.1964972","article-title":"Realtime performance-based facial animation","volume":"30","author":"weise","year":"2011","journal-title":"ACM Trans Graph"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2500221"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383165"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1111\/1467-8659.t01-1-00712"},{"journal-title":"Adam A method for stochastic optimization","year":"2015","author":"kingma","key":"ref46"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2501749"},{"key":"ref47","first-page":"61","article-title":"Poisson surface reconstruction","volume":"7","author":"kazhdan","year":"2006","journal-title":"Proc 4th Eurograph Symp Geom Process"},{"key":"ref42","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1109\/TVCG.2013.249","article-title":"FaceWarehouse: A 3D facial expression database for visual computing","volume":"20","author":"cao","year":"2014","journal-title":"IEEE Trans Vis Comput Graphics"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.5220\/0005669500790086"},{"key":"ref44","first-page":"1","article-title":"Automatic differentiation in pyTorch","author":"paszke","year":"2017","journal-title":"Proc 31st Conf Neural Inf Process Syst"},{"journal-title":"Xgan Unsupervised image-to-image translation for many-to-many mappings","year":"2017","author":"royer","key":"ref43"}],"container-title":["IEEE Transactions on Biometrics, Behavior, and Identity Science"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8423754\/9353326\/09201382.pdf?arnumber=9201382","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,2,2]],"date-time":"2022-02-02T20:29:18Z","timestamp":1643833758000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9201382\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":56,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tbiom.2020.3025466","relation":{},"ISSN":["2637-6407"],"issn-type":[{"type":"electronic","value":"2637-6407"}],"subject":[],"published":{"date-parts":[[2021,1]]}}}