{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T12:42:04Z","timestamp":1782996124708,"version":"3.54.5"},"reference-count":70,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"CHISTERA Project M2CR of the Spanish Ministry","award":["PCIN-2015-251"],"award-info":[{"award-number":["PCIN-2015-251"]}]},{"name":"CHISTERA Project M2CR of the Spanish Ministry","award":["TIN2016-79717-R"],"award-info":[{"award-number":["TIN2016-79717-R"]}]},{"DOI":"10.13039\/501100002809","name":"Generalitat de Catalunya","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"CENIIT","award":["18.14"],"award-info":[{"award-number":["18.14"]}]},{"name":"VR Starting Grant","award":["2016-05543"],"award-info":[{"award-number":["2016-05543"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2019,4]]},"DOI":"10.1109\/tip.2018.2879249","type":"journal-article","created":{"date-parts":[[2018,11,6]],"date-time":"2018-11-06T01:50:50Z","timestamp":1541469050000},"page":"1837-1850","source":"Crossref","is-referenced-by-count":171,"title":["Synthetic Data Generation for End-to-End Thermal Infrared Tracking"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4580-2317","authenticated-orcid":false,"given":"Lichao","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9334-6646","authenticated-orcid":false,"given":"Abel","family":"Gonzalez-Garcia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joost","family":"van de Weijer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martin","family":"Danelljan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fahad Shahbaz","family":"Khan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref70","author":"nam","year":"2016","journal-title":"Modeling and propagating cnns in a tree structure for visual tracking"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2016.2627052"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2614135"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299177"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.152"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2009.2019809"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.381"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.05.017"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2015.84"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.129"},{"key":"ref34","first-page":"8","article-title":"Discriminative correlation filter tracker with channel and spatial reliability","volume":"6","author":"luke\u017ei?","year":"2017","journal-title":"Proc CVPR"},{"key":"ref60","first-page":"777","article-title":"The visual object tracking VOT2016 challenge results","author":"kristan","year":"2016","journal-title":"Proc Eur Conf Comput Vis Workshops"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.474"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2014.6907094"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.05.094"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2520370"},{"key":"ref27","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref65","author":"chatfield","year":"2014","journal-title":"Return of the devil in the details Delving deep into convolutional nets"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref67","year":"2018","journal-title":"ECO Code"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.465"},{"key":"ref69","author":"park","year":"2018","journal-title":"Meta-tracker Fast and robust online adaptation for visual object trackers"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2614224"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2012.64"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.352"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref21","first-page":"472","article-title":"Beyond correlation filters: Learning continuous convolution operators for visual tracking","author":"danelljan","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.10.026"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.531"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.108"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref50","article-title":"Mutual foreground segmentation with multispectral Stereo Pairs","author":"st-charles","year":"2017","journal-title":"Proc CVPR"},{"key":"ref51","author":"wang","year":"2017","journal-title":"Dcfnet Discriminant correlation filters network for visual tracking"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2011.10.006"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.infrared.2014.02.005"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0901-x"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ACVMOT.2005.14"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.3390\/s16060820"},{"key":"ref54","first-page":"702","article-title":"Precomputed real-time texture synthesis with Markovian generative adversarial networks","author":"li","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref53","author":"nocedal","year":"2006","journal-title":"Numerical Optimization"},{"key":"ref52","author":"gundogdu","year":"2017","journal-title":"Good features to correlate for visual tracking"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.733"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2388226"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.96"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2516982"},{"key":"ref13","first-page":"445","article-title":"A benchmark and simulator for UAV tracking","author":"mueller","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.143"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.159"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.279"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.490"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2609928"},{"key":"ref19","first-page":"2672","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref4","first-page":"639","article-title":"The thermal infrared visual object tracking VOT-TIR2015 challenge results","author":"alahari","year":"2015","journal-title":"Proc IEEE Int Conf Comput Vis Workshops"},{"key":"ref3","first-page":"565","article-title":"Hand posture recognition using finger geometric feature","author":"liu","year":"2012","journal-title":"Proc Int Conf Pattern Recognit"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.230"},{"key":"ref5","first-page":"824","article-title":"The thermal infrared visual object tracking VOT-TIR2016 challenge results","author":"felsberg","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539960"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-013-0570-5"},{"key":"ref49","first-page":"4271","article-title":"Depth CNNs for RGB-D scene recognition: Learning from scratch better than transferring from RGB-CNNs","author":"song","year":"2017","journal-title":"Proc Conf Artif Intell"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2345390"},{"key":"ref46","first-page":"649","article-title":"Colorful image colorization","author":"zhang","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref45","author":"mirza","year":"2014","journal-title":"Conditional generative adversarial nets"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2014.39"},{"key":"ref47","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref42","first-page":"1486","article-title":"Deep generative image models using a Laplacian pyramid of adversarial networks","author":"denton","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.451"},{"key":"ref44","first-page":"2234","article-title":"Improved techniques for training GANs","author":"salimans","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref43","article-title":"Invertible conditional GANs for image editing","author":"perarnau","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst Workshop Adv Training"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/8548629\/08520752.pdf?arnumber=8520752","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T21:13:29Z","timestamp":1657746809000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8520752\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4]]},"references-count":70,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tip.2018.2879249","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,4]]}}}