{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,28]],"date-time":"2026-10-28T17:01:54Z","timestamp":1793206914220,"version":"4.5.0"},"reference-count":85,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"R&D program for Advanced Integrated-intelligence for Identification"},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of KOREA","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Ministry of Science and ICT","award":["NRF-2018M3E3A1057289"],"award-info":[{"award-number":["NRF-2018M3E3A1057289"]}]},{"name":"Yonsei University Research Fund","award":["2021-22-0001"],"award-info":[{"award-number":["2021-22-0001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2022,12,1]]},"DOI":"10.1109\/tpami.2021.3122444","type":"journal-article","created":{"date-parts":[[2021,10,26]],"date-time":"2021-10-26T20:53:53Z","timestamp":1635281633000},"page":"8975-8991","source":"Crossref","is-referenced-by-count":38,"title":["Disentangled Representations for Short-Term and Long-Term Person Re-Identification"],"prefix":"10.1109","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0623-8074","authenticated-orcid":false,"given":"Chanho","family":"Eom","sequence":"first","affiliation":[{"name":"School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9373-254X","authenticated-orcid":false,"given":"Wonkyung","family":"Lee","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4217-9291","authenticated-orcid":false,"given":"Geon","family":"Lee","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3443-8161","authenticated-orcid":false,"given":"Bumsub","family":"Ham","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.410"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412481"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412017"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00190"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00730"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018295"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00839"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2933910"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00196"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00016"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00588"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58539-6_39"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00374"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_25"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00224"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.405"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00973"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00844"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00046"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00063"},{"key":"ref60","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc 32nd Int Conf Mach Learn"},{"key":"ref62","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":"ref61","article-title":"Rectifier nonlinearities improve neural network acoustic models","author":"maas","year":"2013","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref63","article-title":"Instance normalization: The missing ingredient for fast stylization","author":"ulyanov","year":"2016"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.133"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref27","first-page":"5297","article-title":"Learning disentangled representation for robust person re-identification","author":"eom","year":"2019","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref65","article-title":"Auto-encoding variational bayes","author":"kingma","year":"2014","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.389"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.27"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48881-3_2"},{"key":"ref68","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.7000"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298832"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247939"},{"key":"ref20","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc 27th Int Conf Neural Inf Process Syst"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240573"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_40"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00702"},{"key":"ref23","first-page":"5040","article-title":"Disentangling factors of variation in deep representation using adversarial training","author":"mathieu","year":"2016","journal-title":"Proc 30th Int Conf Neural Inf Process Syst"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01047"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_3"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00346"},{"key":"ref51","article-title":"Learning shape representations for clothing variations in person re-identification","author":"li","year":"2020"},{"key":"ref59","first-page":"2642","article-title":"Conditional image synthesis with auxiliary classifier GANs","author":"odena","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2014.01.058"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref56","article-title":"Discovering hidden factors of variation in deep networks","author":"cheung","year":"2015","journal-title":"Proc Int Conf Learn Representations Workshop"},{"key":"ref55","first-page":"191","article-title":"Calculation of the amount of information about a random function contained in another such function","volume":"2","author":"gel\u2019fand","year":"1959","journal-title":"Amer Math Soc Translation Ser"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.141"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_11"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00222"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.427"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_30"},{"key":"ref40","first-page":"1222","article-title":"FD-GAN: Pose-guided feature distilling GAN for robust person re-identification","author":"ge","year":"2018","journal-title":"Proc 32nd Int Conf Neural Inf Process Syst"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240552"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.349"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.46"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00243"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2820063"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.782"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00643"},{"key":"ref17","article-title":"AlignedReID: Surpassing human-level performance in person re-identification","author":"zhang","year":"2017"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.06.006"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref83","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref19","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc 25th Int Conf Neural Inf Process Syst"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00871"},{"key":"ref4","article-title":"In defense of the triplet loss for person re-identification","author":"hermans","year":"2017"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.420"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_30"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.145"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00720"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00117"},{"key":"ref49","first-page":"3856","article-title":"Dynamic routing between capsules","author":"sabour","year":"2017","journal-title":"Proc 31st Int Conf Neural Inf Process Syst"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.103"},{"key":"ref46","article-title":"Person re-identification: Past, present and future","author":"zheng","year":"2016"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00380"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2948093"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00225"},{"key":"ref42","first-page":"8789","article-title":"StarGAN: Unified generative adversarial networks for multi-domain image-to-image translation","author":"choi","year":"2018","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_6"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.167"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/9940447\/09585547.pdf?arnumber=9585547","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T23:11:41Z","timestamp":1670281901000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9585547\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,1]]},"references-count":85,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2021.3122444","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,1]]}}}