{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T00:15:09Z","timestamp":1790036109519,"version":"4.0.1"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2017,3,1]],"date-time":"2017-03-01T00:00:00Z","timestamp":1488326400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"name":"Ministero dell Istruzione dell Universita e della Ricerca","award":["CTN01_00034_23154_SMST"],"award-info":[{"award-number":["CTN01_00034_23154_SMST"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2017,3]]},"DOI":"10.1109\/tip.2017.2651367","type":"journal-article","created":{"date-parts":[[2017,1,10]],"date-time":"2017-01-10T19:25:38Z","timestamp":1484076338000},"page":"1253-1263","source":"Crossref","is-referenced-by-count":30,"title":["Spatio-Temporal Closed-Loop Object Detection"],"prefix":"10.1109","volume":"26","author":[{"given":"Leonardo","family":"Galteri","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4816-0268","authenticated-orcid":false,"given":"Lorenzo","family":"Seidenari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1364-218X","authenticated-orcid":false,"given":"Marco","family":"Bertini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alberto Del","family":"Bimbo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"13","article-title":"SEEDS: Superpixels extracted via energy-driven sampling","author":"van den bergh","year":"2012","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0620-5"},{"key":"ref33","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126351"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248065"},{"key":"ref30","first-page":"1981","article-title":"Learning to segment object candidates","author":"pinheiro","year":"2015","journal-title":"Adv Neural Inf Process Syst (NIPS)"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2016.7477702"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.190"},{"key":"ref35","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33709-3_9"},{"key":"ref10","first-page":"452","article-title":"Localizing objects while learning their appearance","author":"deselaers","year":"2010","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref40","first-page":"377","article-title":"Online video SEEDS for temporal window objectness","author":"van den bergh","year":"2013","journal-title":"Proc IEEE Int Conf Comput Vis (ICCV)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.155"},{"key":"ref12","first-page":"575","article-title":"Category independent object proposals","author":"endres","year":"2010","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.122"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.276"},{"key":"ref15","author":"everingham","year":"2008","journal-title":"The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000022288.19776.77"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.122"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.103"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.89"},{"key":"ref27","first-page":"720","article-title":"Face detection without bells and whistles","author":"mathias","year":"2014","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.28"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540063"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10578-9_48"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.232"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.414"},{"key":"ref7","first-page":"1","article-title":"Return of the devil in the details: Delving deep into convolutional nets","author":"chatfield","year":"2014","journal-title":"Proc Brit Mach Vis Conf (BMVC)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540226"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-13681-8_24"},{"key":"ref1","year":"2016","journal-title":"Imagenet Object Detection From Video (VID) Task Dataset"},{"key":"ref20","first-page":"1030","article-title":"Recognition using regions","author":"gu","year":"2009","journal-title":"Proc Comput Vis Pattern Recognit (CVPR)"},{"key":"ref22","first-page":"1","article-title":"How good are detection proposals, really?","author":"hosang","year":"2014","journal-title":"Proc Brit Mach Vis Conf (BMVC)"},{"key":"ref21","article-title":"What makes for effective detection proposals?","author":"hosang","year":"2015"},{"key":"ref42","article-title":"A survey of recent advances in face detection","author":"zhang","year":"0"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.95"},{"key":"ref41","first-page":"1202","article-title":"Evaluation of super-voxel methods for early video processing","author":"xu","year":"2012","journal-title":"Proc Comput Vis Pattern Recognit (CVPR)"},{"key":"ref23","first-page":"253","article-title":"Efficient image and video co-localization with Frank-Wolfe algorithm","author":"joulin","year":"2014","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref26","first-page":"2536","article-title":"Prime object proposals with randomized Prim&#x2019;s algorithm","author":"manen","year":"2013","journal-title":"Proc IEEE Int Conf Comput Vis (ICCV)"},{"key":"ref43","first-page":"391","article-title":"Edge boxes: Locating object proposals from edges","author":"zitnick","year":"2014","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.363"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/7855880\/07812745.pdf?arnumber=7812745","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:13:28Z","timestamp":1642004008000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7812745\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,3]]},"references-count":43,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tip.2017.2651367","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,3]]}}}