{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T15:33:09Z","timestamp":1772724789169,"version":"3.50.1"},"reference-count":57,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1613211"],"award-info":[{"award-number":["U1613211"]}],"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":["U1813218"],"award-info":[{"award-number":["U1813218"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shenzhen Research Program","award":["JCYJ20170818164704758"],"award-info":[{"award-number":["JCYJ20170818164704758"]}]},{"name":"Shenzhen Research Program","award":["JCYJ20150925163005055"],"award-info":[{"award-number":["JCYJ20150925163005055"]}]},{"name":"Tencent AI Lab Rhino-Bird Joint Research Program","award":["JR201807"],"award-info":[{"award-number":["JR201807"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2019,6]]},"DOI":"10.1109\/tip.2019.2894272","type":"journal-article","created":{"date-parts":[[2019,1,24]],"date-time":"2019-01-24T00:59:52Z","timestamp":1548291592000},"page":"3102-3114","source":"Crossref","is-referenced-by-count":60,"title":["Mutual Component Convolutional Neural Networks for Heterogeneous Face Recognition"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0887-7408","authenticated-orcid":false,"given":"Zhongying","family":"Deng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaojiang","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhifeng","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1889-2567","authenticated-orcid":false,"given":"Yu","family":"Qiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.404"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2013.59"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-01793-3_75"},{"key":"ref30","first-page":"13","article-title":"Inter-modality face recognition","author":"lin","year":"2006","journal-title":"Proc ECCV"},{"key":"ref37","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume":"37","author":"ioffe","year":"2015","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/EUVIP.2014.7018399"},{"key":"ref34","first-page":"1","article-title":"Transferring deep representation for NIR-VIS heterogeneous face recognition","author":"liu","year":"2016","journal-title":"Proc Int Conf Biometrics (ICB)"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2215617"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025067"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/34.598228"},{"key":"ref2","first-page":"1679","article-title":"Coupled deep learning for heterogeneous face recognition","author":"wu","year":"2008","journal-title":"Proc AAAI Conf Artif Intell (AAAI)"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/2807705"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2685597"},{"key":"ref22","first-page":"179","article-title":"Heterogeneous face recognition using inter-session variability modelling","author":"de freitas pereira","year":"2016","journal-title":"Proc CVPR Workshops"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/454"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICB.2012.6199762"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2018.10.015"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2014.529"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.229"},{"key":"ref50","author":"jia","year":"2014","journal-title":"Caffe Convolutional Architecture for Fast Feature Embedding"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2822810"},{"key":"ref57","first-page":"687","article-title":"Face sketch synthesis and recognition","volume":"1","author":"tang","year":"2003","journal-title":"Proc ICCV"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.5244\/C.29.41"},{"key":"ref55","article-title":"Memetic approach for matching sketches with digital face images","author":"bhatt","year":"2012"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2651380"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.180"},{"key":"ref52","article-title":"Labeled faces in the wild: A database for studying face recognition in unconstrained environments","author":"huang","year":"2007"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.244"},{"key":"ref11","first-page":"1988","article-title":"Deep learning face representation by joint identification-verification","author":"chen","year":"2014","journal-title":"Proc NIPS"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2012.2204252"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref13","first-page":"499","article-title":"A discriminative feature learning approach for deep face recognition","author":"wen","year":"2016","journal-title":"Proc ECCV"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00552"},{"key":"ref15","first-page":"764","article-title":"Orthogonal deep features decomposition for age-invariant face recognition","author":"wang","year":"2018","journal-title":"Vision Computer"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2016.47"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.529"},{"key":"ref18","first-page":"3252","article-title":"Online heterogeneous transfer by hedge ensemble of offline and online decisions","volume":"29","author":"yan","year":"2018","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/412"},{"key":"ref4","article-title":"Deep perceptual mapping for thermal to visible face recognition","author":"sarfraz","year":"2015","journal-title":"Proc Brit Mach Vis Conf (BMVC)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2637400"},{"key":"ref6","first-page":"483","article-title":"Heterogeneous face recognition with CNNs","author":"saxena","year":"2016","journal-title":"Proc ECCV"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2542816"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2315920"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2756450"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995324"},{"key":"ref9","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc NIPS"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2012.2186121"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2833032"},{"key":"ref47","first-page":"87","article-title":"MS-Celeb-1M: A dataset and benchmark for large-scale face recognition","author":"guo","year":"2016","journal-title":"Proc ECCV"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2603342"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.222"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2420374"},{"key":"ref43","article-title":"Learning face representation from scratch","volume":"abs 1411","author":"yi","year":"2014","journal-title":"Comput Sci"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/8672525\/08624555.pdf?arnumber=8624555","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T20:51:58Z","timestamp":1657745518000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8624555\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6]]},"references-count":57,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tip.2019.2894272","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,6]]}}}