{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:15:16Z","timestamp":1740132916912,"version":"3.37.3"},"reference-count":78,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003711","name":"Ministry of Science and Technology","doi-asserted-by":"publisher","award":["108-2218-E-011-006-"],"award-info":[{"award-number":["108-2218-E-011-006-"]}],"id":[{"id":"10.13039\/501100003711","id-type":"DOI","asserted-by":"publisher"}]},{"name":"\u201cCenter for Cyber-Physical System Innovation\u201d from the Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE), Taiwan"},{"DOI":"10.13039\/501100001775","name":"Australian AI Institute (AAII), University of Technology Sydney, Australia","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001775","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2022,3]]},"DOI":"10.1109\/tits.2020.3032396","type":"journal-article","created":{"date-parts":[[2020,10,28]],"date-time":"2020-10-28T19:40:40Z","timestamp":1603914040000},"page":"2103-2115","source":"Crossref","is-referenced-by-count":9,"title":["Recognizing Very Small Face Images Using Convolution Neural Networks"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9978-0400","authenticated-orcid":false,"given":"Shi-Jinn","family":"Horng","sequence":"first","affiliation":[{"name":"Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5836-9236","authenticated-orcid":false,"given":"Julian","family":"Supardi","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1680-2521","authenticated-orcid":false,"given":"Wanlei","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Technology Sydney (UTS), Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8371-8197","authenticated-orcid":false,"given":"Chin-Teng","family":"Lin","sequence":"additional","affiliation":[{"name":"Computational Intelligence and Brain Computer Interface Laboratory, AAII, FEIT, University of Technology Sydney (UTS), Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1162\/jocn.1991.3.1.71"},{"key":"ref2","first-page":"1","article-title":"Face recognition machine vision system using eigenfaces","author":"Jalled","year":"2017","journal-title":"arXiv:1705.02782"},{"issue":"5","key":"ref3","first-page":"7","article-title":"Face recognition using principal component analysis and RBF neural networks","volume":"10","author":"Thakur","year":"2009","journal-title":"IJSSST"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2002.806647"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2015.2400772"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/AFGR.2008.4813407"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.7763\/IJMLC.2014.V4.396"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/72.554195"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/BTAS.2009.5339025"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.518"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.128"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2015.03.162"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/AFGR.2000.840616"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICIS.2011.36"},{"key":"ref16","article-title":"Deep joint face hallucination and recognition","author":"Wu","year":"2016","journal-title":"arXiv:1611.08091"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2890812"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2050625"},{"key":"ref19","article-title":"Image super-resolution using deep convolutional networks","author":"Dong","year":"2014","journal-title":"arXiv:1501.00092"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-006-0029-5"},{"key":"ref21","first-page":"1","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Krizhevsky"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref24","article-title":"Deep residual learning for image recognition","author":"He","year":"2015","journal-title":"arXiv:1512.03385"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_37"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.181"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/rs10030394"},{"key":"ref28","first-page":"1","article-title":"Low resolution face recognition using a two-branch deep convolutional neural network architecture","author":"Zangeneh","year":"2017","journal-title":"arXiv:1706.06247"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2016.05.002"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0645-9"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1033210"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/34.790425"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.infrared.2017.04.006"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2826139"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2281313"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-008-0148-2"},{"key":"ref37","article-title":"Compression artifacts removal using convolutional neural networks","author":"Svoboda","year":"2016","journal-title":"arXiv:1605.00366"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462085"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2919431"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2003.1211539"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206630"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.09.012"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2013.10.004"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.146"},{"key":"ref46","first-page":"167","article-title":"Biometric recognition","volume-title":"Proc. 11th Chin. Conf. CCBR","author":"Huang"},{"issue":"6","key":"ref47","first-page":"265","article-title":"Face hallucination using Eigen transformation in transform domain","volume":"3","author":"Abdu","year":"2010","journal-title":"Int. J. Image Process."},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2019.102590"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2810121"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2883743"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2717181"},{"key":"ref52","first-page":"9307","article-title":"Appling both hybrid restricted Boltzmann machine and deep convolution neural networks to low-resolution face image recognition","volume":"7","author":"Horng","year":"2018","journal-title":"J. Comput. Eng. Inf. Technol."},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1196\/1\/012020"},{"key":"ref54","first-page":"1","volume-title":"Introduction to convolutional neural networks","author":"Wu","year":"2017"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2010.5537907"},{"key":"ref56","first-page":"47","article-title":"Notes on convolutional neural networks","author":"Bouvrie","year":"2006","journal-title":"Practice"},{"volume-title":"Derivation of Backpropagation in Convolutional Neural Network","year":"2016","author":"Zhang","key":"ref57"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref59","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. ICLR","author":"Kingma"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11021-5_16"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.161"},{"key":"ref62","article-title":"Improving neural networks by preventing co-adaptation of feature detectors","author":"Hinton","year":"2012","journal-title":"arXiv:1207.0580"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00101"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.18772\/10539\/20690"},{"volume-title":"GT Face Database","year":"2017","key":"ref65"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2007.4408858"},{"key":"ref67","first-page":"1","article-title":"Learning to align from scratch","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Huang"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00552"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/34.879790"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1007\/1-84628-064-8_7"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.278"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2089470"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2162423"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2833032"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.5244\/C.29.41"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46478-7_29"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/ICB.2015.7139090"},{"volume-title":"Understanding Different Loss Functions for Neural Networks","year":"2020","key":"ref78"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/9732622\/09242308.pdf?arnumber=9242308","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T23:18:43Z","timestamp":1704842323000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9242308\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3]]},"references-count":78,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tits.2020.3032396","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"type":"print","value":"1524-9050"},{"type":"electronic","value":"1558-0016"}],"subject":[],"published":{"date-parts":[[2022,3]]}}}