{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T16:53:03Z","timestamp":1777567983416,"version":"3.51.4"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2018,4,1]],"date-time":"2018-04-01T00:00:00Z","timestamp":1522540800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/USG.html"},{"start":{"date-parts":[[2018,4,1]],"date-time":"2018-04-01T00:00:00Z","timestamp":1522540800000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/USG.html"},{"start":{"date-parts":[[2018,4,1]],"date-time":"2018-04-01T00:00:00Z","timestamp":1522540800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2018,4,1]],"date-time":"2018-04-01T00:00:00Z","timestamp":1522540800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Science Foundation","award":["NSF-NRI-1525251"],"award-info":[{"award-number":["NSF-NRI-1525251"]}]},{"name":"National Science Foundation","award":["NSF-IIS-1338054"],"award-info":[{"award-number":["NSF-IIS-1338054"]}]},{"name":"National Science Foundation","award":["NSF-NRI-1637479"],"award-info":[{"award-number":["NSF-NRI-1637479"]}]},{"name":"National Science Foundation","award":["NSF-IIS-1652052"],"award-info":[{"award-number":["NSF-IIS-1652052"]}]},{"name":"National Science Foundation","award":["ONR N00014-13-1-0720"],"award-info":[{"award-number":["ONR N00014-13-1-0720"]}]},{"name":"Intel Science and Technology Center for Pervasive Computing"},{"name":"Allen Distinguished Investigator Award"},{"name":"Allen Institute for Artificial Intelligence"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2018,4]]},"DOI":"10.1109\/lra.2018.2792152","type":"journal-article","created":{"date-parts":[[2018,1,11]],"date-time":"2018-01-11T19:32:21Z","timestamp":1515699141000},"page":"788-795","source":"Crossref","is-referenced-by-count":114,"title":["Re$^3$: Re al-Time Recurrent Regression Networks for Visual Tracking of Generic Objects"],"prefix":"10.1109","volume":"3","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8515-0523","authenticated-orcid":false,"given":"Daniel","family":"Gordon","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali","family":"Farhadi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dieter","family":"Fox","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Robust scale-adaptive mean-shift for tracking.","author":"vojir","year":"2017"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298935"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_7"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2007.4357637"},{"key":"ref30","first-page":"3361","article-title":"Deep tracking: Seeing beyond seeing using recurrent neural networks","author":"ondruska","year":"0","journal-title":"Proc 30th AAAI Conf Artif Intell"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2015.80"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"1442","DOI":"10.1109\/TPAMI.2013.230","article-title":"Visual tracking: An experimental survey","volume":"36","author":"smeulders","year":"2014","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2014.X.030"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2014.128"},{"key":"ref40","article-title":"Tracking with kernelized correlation filters.","author":"vojir","year":"2017"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.494"},{"key":"ref12","article-title":"First step toward model-free, anonymous object tracking with recurrent neural networks","author":"gan","year":"0"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref14","article-title":"DSST: Discriminative scale space tracker","author":"nebehay","year":"0"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2582924"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2509974"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_45"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2345390"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-16181-5_17"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48881-3_56"},{"key":"ref27","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref3","first-page":"1171","article-title":"Scheduled sampling for sequence prediction with recurrent neural networks","author":"bengio","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2609928"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.465"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.5244\/C.28.65"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_29"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2015.84"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2007.363998"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.206"},{"key":"ref1","article-title":"Tensorflow: Large-scale machine learning on heterogeneous distributed systems","author":"abadi","year":"0"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298675"},{"key":"ref22","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2017.2736553"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.312"},{"key":"ref24","first-page":"1","article-title":"The visual object tracking VOT2015 challenge results","author":"kristan","year":"0","journal-title":"Proc IEEE Int Conf Comput Vision Workshops"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-38886-6_61"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-16181-5_14"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10599-4_13"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2017.XIII.006"},{"key":"ref43","first-page":"818","article-title":"Visualizing and understanding convolutional networks","author":"zeiler","year":"0","journal-title":"Proc Eur Conf Comput Vision"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48881-3_54"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/ieeexplore.ieee.org\/ielaam\/7083369\/8214927\/8253805-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/8214927\/08253805.pdf?arnumber=8253805","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,8]],"date-time":"2022-04-08T18:54:55Z","timestamp":1649444095000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8253805\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,4]]},"references-count":44,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/lra.2018.2792152","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,4]]}}}