{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:07:04Z","timestamp":1740100024510,"version":"3.37.3"},"reference-count":35,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100002358","name":"Beihang University","doi-asserted-by":"publisher","award":["VRLAB2020A03"],"award-info":[{"award-number":["VRLAB2020A03"]}],"id":[{"id":"10.13039\/501100002358","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100008996","name":"Capital Normal University","doi-asserted-by":"publisher","award":["19530012013"],"award-info":[{"award-number":["19530012013"]}],"id":[{"id":"10.13039\/100008996","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62002247"],"award-info":[{"award-number":["62002247"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,1,10]]},"DOI":"10.1109\/icpr48806.2021.9412937","type":"proceedings-article","created":{"date-parts":[[2021,5,6]],"date-time":"2021-05-06T02:15:54Z","timestamp":1620267354000},"page":"1067-1074","source":"Crossref","is-referenced-by-count":0,"title":["DAPC:Domain Adaptation People Counting via Style-level Transfer Learning and Scene-aware Estimation"],"prefix":"10.1109","author":[{"given":"Na","family":"Jiang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xingsen","family":"Wen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiping","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref32","article-title":"Spectral Normalization for Generative Adversarial Networks","author":"miyato","year":"0","journal-title":"Proceedings of the IEEE international conference on learning representations"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.265"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2800688"},{"key":"ref35","article-title":"Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection","author":"sam","year":"2020","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00186"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref12","first-page":"5001","article-title":"Cross-domain weakly-supervised object detection through progressive domain adap tation","author":"inoue","year":"0","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref13","first-page":"994","article-title":"Imageimage domain adaptation with preserved self-similarity and domaindissimilarity for person re-identification","author":"deng","year":"0","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref14","first-page":"5157","article-title":"Camera style adaptation for person re-identification","author":"zhong","year":"0","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref15","first-page":"3867","article-title":"Incorporating side information by adaptive convolution","author":"kang","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref16","first-page":"5197","article-title":"Decidenet: Counting varying density crowds through attention guided detection and density estimation","author":"liu","year":"0","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"268","DOI":"10.18178\/ijmlc.2018.8.3.698","article-title":"Image processing based ambient context-aware people detection and counting","volume":"8","author":"al-zaydi","year":"2018","journal-title":"International Journal of Machine Learning and Computing"},{"key":"ref18","first-page":"1002","article-title":"Multi-level bottom-top and topbottom feature fusion for crowd counting","author":"sindagi","year":"0","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref19","first-page":"952","article-title":"Perspective-guided convolution networks for crowd counting","author":"yan","year":"0","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00839"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00395"},{"journal-title":"Crowd counting with decomposed uncertainty","year":"2019","author":"oh","key":"ref3"},{"journal-title":"Domain-adaptive crowd counting via inter-domain features segregation and gaussian-prior reconstruction","year":"2019","author":"gao","key":"ref6"},{"journal-title":"Self-attention generative adversarial networks","year":"2018","author":"zhang","key":"ref29"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00663"},{"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":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2837153"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00845"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.07.007"},{"key":"ref20","first-page":"1","article-title":"Privacy preserving crowd monitoring: Counting people without people models or tracking","author":"chan","year":"0","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref22","first-page":"6133","article-title":"Crowd counting and density estimation by trellis encoderdecoder networks","author":"jiang","year":"0","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref21","first-page":"2467","article-title":"Cumulative attribute space for age and crowd density estimation","author":"chen","year":"0","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00122"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2943860"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00564"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2806337"}],"event":{"name":"2020 25th International Conference on Pattern Recognition (ICPR)","start":{"date-parts":[[2021,1,10]]},"location":"Milan, Italy","end":{"date-parts":[[2021,1,15]]}},"container-title":["2020 25th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9411940\/9411911\/09412937.pdf?arnumber=9412937","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:40:48Z","timestamp":1652197248000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9412937\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,10]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/icpr48806.2021.9412937","relation":{},"subject":[],"published":{"date-parts":[[2021,1,10]]}}}