{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T15:20:14Z","timestamp":1759332014254,"version":"3.37.3"},"reference-count":72,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Guangdong International Technology Coopertation Project","award":["2022A0505050009"],"award-info":[{"award-number":["2022A0505050009"]}]},{"name":"Key-Area Research and Development Program of Guangdong Province, China","award":["2020B010165004","2020B010166003"],"award-info":[{"award-number":["2020B010165004","2020B010166003"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972162"],"award-info":[{"award-number":["61972162"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangdong International Science and Technology Cooperation Project","award":["2021A0505030009"],"award-info":[{"award-number":["2021A0505030009"]}]},{"DOI":"10.13039\/501100003453","name":"Guangdong Natural Science Foundation","doi-asserted-by":"publisher","award":["2021A1515012625"],"award-info":[{"award-number":["2021A1515012625"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangzhou Basic and Applied Research Project","award":["202102021074"],"award-info":[{"award-number":["202102021074"]}]},{"name":"CCF-Tencent Open Research Fund","award":["CCF-Tencent RAGR20210114"],"award-info":[{"award-number":["CCF-Tencent RAGR20210114"]}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01HL159805"],"award-info":[{"award-number":["R01HL159805"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NSF-Convergence Accelerator Track-D","award":["2134901"],"award-info":[{"award-number":["2134901"]}]},{"name":"a grant from Apple Inc."},{"name":"a grant from KDDI Research Inc"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2024,7]]},"DOI":"10.1109\/tnnls.2022.3216018","type":"journal-article","created":{"date-parts":[[2022,11,7]],"date-time":"2022-11-07T22:34:07Z","timestamp":1667860447000},"page":"8854-8868","source":"Crossref","is-referenced-by-count":7,"title":["Fully Deformable Network for Multiview Face Image Synthesis"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4281-6214","authenticated-orcid":false,"given":"Cheng","family":"Xu","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"}]},{"given":"Keke","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"}]},{"given":"Xuandi","family":"Luo","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence and Blockchain, Guangzhou University, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8006-3663","authenticated-orcid":false,"given":"Xuemiao","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3802-4644","authenticated-orcid":false,"given":"Shengfeng","family":"He","sequence":"additional","affiliation":[{"name":"School of Computing and Information Systems, Singapore Management University, Bras Basah, Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0738-9958","authenticated-orcid":false,"given":"Kun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Philosophy, Carnegie Mellon University, Pittsburgh, PA, USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298679"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299058"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7899774"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00876"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6942"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.267"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/131"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.141"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.441"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.243"},{"key":"ref11","first-page":"1099","article-title":"Weakly-supervised disentangling with recurrent transformations for 3D view synthesis","volume-title":"Proc. NeurIPS","author":"Yang"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298667"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.361"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00235"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.430"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/165"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01229-6"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2891116"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2883554"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00741"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/311535.311556"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3090658"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.389"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/204"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978127"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.454"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126336"},{"key":"ref29","first-page":"217","article-title":"Multi-view perceptron: A deep model for learning face identity and view representations","volume-title":"Proc. NeurIPS","author":"Zhu"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858819"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.523"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2765830"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2390959"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.899195"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00828"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00467"},{"key":"ref38","article-title":"Pose and attribute consistent person image synthesis","author":"Xu","year":"2022","journal-title":"ACM Trans. Multimedia Comput. Commun. Appl."},{"key":"ref39","article-title":"T-person-GAN: Text-to-person image generation with identity-consistency and manifold mix-up","author":"Wu","year":"2022","journal-title":"arXiv:2208.12752"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3151631"},{"key":"ref41","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"Radford","year":"2015","journal-title":"arXiv:1511.06434"},{"key":"ref42","article-title":"Conditional generative adversarial nets","author":"Mirza","year":"2014","journal-title":"arXiv:1411.1784"},{"key":"ref43","first-page":"2172","article-title":"InfoGAN: Interpretable representation learning by information maximizing generative adversarial nets","volume-title":"Proc. NeurIPS","author":"Chen"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00917"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.89"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01258-8_21"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3201820"},{"key":"ref50","first-page":"1","article-title":"Trajectory convolution for action recognition","volume-title":"Proc. NeurIPS","volume":"31","author":"Zhao"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3186746"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00247"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00042"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2603342"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2833032"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299155"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2009.08.002"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298803"},{"article-title":"Labeled faces in the wild: A database for studying face recognition in unconstrained environments","year":"2007","author":"Huang","key":"ref61"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_6"},{"key":"ref63","article-title":"Progressive growing of GANs for improved quality, stability, and variation","author":"Karras","year":"2017","journal-title":"arXiv:1710.10196"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01252-7"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.11.024"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.21"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.418"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2016.23"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2016.7477555"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_35"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2017.137"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10589508\/09941060.pdf?arnumber=9941060","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,11]],"date-time":"2024-12-11T01:46:43Z","timestamp":1733881603000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9941060\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7]]},"references-count":72,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2022.3216018","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"type":"print","value":"2162-237X"},{"type":"electronic","value":"2162-2388"}],"subject":[],"published":{"date-parts":[[2024,7]]}}}