{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T18:45:07Z","timestamp":1757616307767,"version":"3.44.0"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1109\/vcip47243.2019.8965799","type":"proceedings-article","created":{"date-parts":[[2020,1,23]],"date-time":"2020-01-23T22:06:18Z","timestamp":1579817178000},"page":"1-4","source":"Crossref","is-referenced-by-count":1,"title":["Scale-Informed Density Estimation for Dense Crowd Counting"],"prefix":"10.1109","author":[{"given":"Zirui","family":"Li","sequence":"first","affiliation":[{"name":"Peking University,ADSPLAB,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuexian","family":"Zou","sequence":"additional","affiliation":[{"name":"Peking University,ADSPLAB,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guoshuai","family":"Wang","sequence":"additional","affiliation":[{"name":"Peking University,ADSPLAB,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Technology Sydney,School of Electrical and Data Engineering,Sydney,Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Iterative crowd counting","author":"viresh","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.329"},{"key":"ref12","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"International Conference on Learning Representations"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00550"},{"key":"ref14","article-title":"Scale aggregation network for accurate and efficient crowd counting","author":"cao","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.206"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.429"},{"key":"ref17","first-page":"532","article-title":"Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds","author":"idrees","year":"2018","journal-title":"the European Conference on Computer Vision (ECCV)"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2964284.2967300"},{"key":"ref4","first-page":"1324","article-title":"Learning to count objects in images","author":"lempitsky","year":"2010","journal-title":"Advances in neural information processing systems"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1049\/ecej:19950106"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.70"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298684"},{"key":"ref8","first-page":"1091","article-title":"CSRNet: Dilated convolutional neural networks for understanding the highly congested scenes","author":"li","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref7","first-page":"615","article-title":"Towards perspective-free object counting with deep learning","author":"onoro-rubio","year":"2016","journal-title":"The European Conference on Computer Vision Springer Cham"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126526"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2001.990517"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2017.8078491"}],"event":{"name":"2019 IEEE Visual Communications and Image Processing (VCIP)","start":{"date-parts":[[2019,12,1]]},"location":"Sydney, NSW, Australia","end":{"date-parts":[[2019,12,4]]}},"container-title":["2019 IEEE Visual Communications and Image Processing (VCIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8960260\/8965654\/08965799.pdf?arnumber=8965799","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,5]],"date-time":"2025-09-05T18:07:59Z","timestamp":1757095679000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8965799\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/vcip47243.2019.8965799","relation":{},"subject":[],"published":{"date-parts":[[2019,12]]}}}