{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T15:43:08Z","timestamp":1777995788243,"version":"3.51.4"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100009377","name":"Scientific Research Fund of Hunan Provincial Education Department","doi-asserted-by":"publisher","award":["19A270"],"award-info":[{"award-number":["19A270"]}],"id":[{"id":"10.13039\/100009377","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009377","name":"Scientific Research Fund of Hunan Provincial Education Department","doi-asserted-by":"publisher","award":["15b127"],"award-info":[{"award-number":["15b127"]}],"id":[{"id":"10.13039\/100009377","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Social Science Foundation of Hunan Province","award":["18YBA258"],"award-info":[{"award-number":["18YBA258"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3000741","type":"journal-article","created":{"date-parts":[[2020,6,8]],"date-time":"2020-06-08T21:26:21Z","timestamp":1591651581000},"page":"108072-108087","source":"Crossref","is-referenced-by-count":6,"title":["High-Resolution Crowd Density Maps Generation With Multi-Scale Fusion Conditional GAN"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1453-2297","authenticated-orcid":false,"given":"Shaonian","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongjing","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yao","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rongyuan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2019.00041"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00550"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00524"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00122"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00186"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00334"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8545683"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.206"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00849"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00192"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532551"},{"key":"ref27","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref29","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2542585"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.07.007"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.5244\/C.26.21"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7533041"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.372"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-008-0132-4"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2015.01.007"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2806337"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2014.2358029"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_33"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587569"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2928634"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2017.8078491"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298684"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2875495"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2918936"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00131"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_45"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00917"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.272"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532550"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.75"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459191"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00120"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.70"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.329"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.429"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00839"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2003.1292216"},{"key":"ref48","author":"paszke","year":"2017","journal-title":"Pytorch Tensors and Dynamic neural networks in Python with strong GPU acceleration"},{"key":"ref47","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2956091"},{"key":"ref41","first-page":"1","article-title":"Dense crowd counting convolutional neural networks with minimal data using semi-supervised dual-goal generative adversarial networks","author":"olmschenk","year":"2019","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit Learn Imperfect Data Workshop"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.211"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.683"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09110913.pdf?arnumber=9110913","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:52:33Z","timestamp":1639770753000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9110913\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":54,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3000741","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}