{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T16:25:02Z","timestamp":1783614302498,"version":"3.55.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,28]],"date-time":"2022-05-28T00:00:00Z","timestamp":1653696000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,28]],"date-time":"2022-05-28T00:00:00Z","timestamp":1653696000000},"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":[[2022,5,28]]},"DOI":"10.1109\/iscas48785.2022.9937583","type":"proceedings-article","created":{"date-parts":[[2022,11,11]],"date-time":"2022-11-11T20:38:08Z","timestamp":1668199088000},"page":"3299-3303","source":"Crossref","is-referenced-by-count":52,"title":["TAFNet: A Three-Stream Adaptive Fusion Network for RGB-T Crowd Counting"],"prefix":"10.1109","author":[{"given":"Haihan","family":"Tang","sequence":"first","affiliation":[{"name":"Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Wang","sequence":"additional","affiliation":[{"name":"Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lap-Pui","family":"Chau","sequence":"additional","affiliation":[{"name":"Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Cnn-based density estimation and crowd counting: A survey","volume":"abs 2003 12783","author":"gao","year":"2020","journal-title":"ArXiv"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.trpro.2017.05.131"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2964284.2967300"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.329"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683289"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00533"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3055632"},{"key":"ref17","article-title":"Rgb-t crowd counting from drone: A benchmark and mmccn network","author":"peng","year":"2020","journal-title":"ACCV"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"779","DOI":"10.1109\/CVPR.2016.91","article-title":"You only look once: Unified, real-time object detection","author":"redmon","year":"2016","journal-title":"2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.70"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00479"},{"key":"ref6","article-title":"Pytorch: An imperative style, highperformance deep learning library","volume":"abs 1912 1703","author":"paszke","year":"2019","journal-title":"ArXiv"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_17"},{"key":"ref8","article-title":"Adam: A method for stochastic optimization","volume":"abs 1412 6980","author":"kingma","year":"2015","journal-title":"CoRR"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00624"},{"key":"ref2","article-title":"Very deep convolutional networks for large-scale image recognition","volume":"abs 1409 1556","author":"simonyan","year":"2015","journal-title":"CoRR"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3092967"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00120"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2019.115756"},{"key":"ref22","article-title":"A unified rgbt saliency detection benchmark: Dataset, baselines, analysis and a novel approach","volume":"abs 1701 2829","author":"li","year":"2018","journal-title":"ArXiv"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803528"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2014.2358029"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2951621"}],"event":{"name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","location":"Austin, TX, USA","start":{"date-parts":[[2022,5,27]]},"end":{"date-parts":[[2022,6,1]]}},"container-title":["2022 IEEE International Symposium on Circuits and Systems (ISCAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9937201\/9937203\/09937583.pdf?arnumber=9937583","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,28]],"date-time":"2022-11-28T20:20:39Z","timestamp":1669666839000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9937583\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,28]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/iscas48785.2022.9937583","relation":{},"subject":[],"published":{"date-parts":[[2022,5,28]]}}}