{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T14:46:24Z","timestamp":1773931584273,"version":"3.50.1"},"reference-count":46,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,1,8]],"date-time":"2023-01-08T00:00:00Z","timestamp":1673136000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,8]],"date-time":"2023-01-08T00:00:00Z","timestamp":1673136000000},"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":[[2023,1,8]]},"DOI":"10.1109\/ccnc51644.2023.10059904","type":"proceedings-article","created":{"date-parts":[[2023,3,17]],"date-time":"2023-03-17T13:17:55Z","timestamp":1679059075000},"page":"455-460","source":"Crossref","is-referenced-by-count":13,"title":["DroneNet: Crowd Density Estimation using Self-ONNs for Drones"],"prefix":"10.1109","author":[{"given":"Muhammad Asif","family":"Khan","sequence":"first","affiliation":[{"name":"Qatar University,Qatar Mobility Innovations Center (QMIC),Doha,Qatar"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hamid","family":"Menouar","sequence":"additional","affiliation":[{"name":"Qatar University,Qatar Mobility Innovations Center (QMIC),Doha,Qatar"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ridha","family":"Hamila","sequence":"additional","affiliation":[{"name":"Qatar University,Electrical Engineering,Doha,Qatar"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-006-0027-7"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-021-11579-4"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.5244\/C.26.21"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2020.12.014"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.429"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1049\/ecej:19950106"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3059595"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref30","article-title":"A unified multi-task learning framework of real-time drone supervision for crowd counting","volume":"abs 2202 3843","author":"gu","year":"2022","journal-title":"CoRR"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.204"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-04780-3"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.167"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3138896"},{"key":"ref2","article-title":"Distributed inference in resource-constrained iot for real-time video surveillance","author":"khan","year":"2022","journal-title":"To be appeared in IEEE Systems journals"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/DASC52595.2021.9594332"},{"key":"ref17","article-title":"Revisiting crowd counting: State-of-the-art, trends, and future perspectives","volume":"abs 2209 7271","author":"khan","year":"2022","journal-title":"ArXiv"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-31723-2_50"},{"key":"ref16","article-title":"Latent gaussian mixture regression for human pose estimation","author":"tian","year":"2010","journal-title":"ACCV"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2017.8078491"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2964284.2967300"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298684"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_45"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00624"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00629"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.446"},{"key":"ref26","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"0","journal-title":"3rd International Conference on Learning Representations ICLR 2015"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i3.16360"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.70"},{"key":"ref42","article-title":"U-net: Convolutional networks for biomedical image segmentation","volume":"abs 1505 4597","author":"ronneberger","year":"2015","journal-title":"ArXiv"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS48785.2022.9937583"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00120"},{"key":"ref44","article-title":"Adam: A method for stochastic optimization","volume":"abs 1412 6980","author":"kingma","year":"2015","journal-title":"CoRR"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296324"},{"key":"ref43","first-page":"497","article-title":"Rgb-t crowd counting from drone: A benchmark and mmccn network","author":"peng","year":"2020","journal-title":"Computer Vision - ACCV 2020 15th Asian Conference on Computer Vision Kyoto Japan November 30 - December 4 2020 Revised Selected Papers Part VI"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"770","DOI":"10.1109\/CVPR.2016.90","article-title":"Deep residual learning for image recognition","author":"he","year":"2016","journal-title":"2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00524"},{"key":"ref29","article-title":"Rgb-t crowd counting from drone: A benchmark and mmccn network","author":"peng","year":"2020","journal-title":"ACCV"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.75"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2014.6918687"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2008.4761705"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3168279"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3063681"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2019.8900436"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICEARS53579.2022.9752298"},{"key":"ref40","article-title":"Global sum pooling: A generalization trick for object counting with small datasets of large images","author":"aich","year":"2018","journal-title":"ArXiv Preprint"}],"event":{"name":"2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)","location":"Las Vegas, NV, USA","start":{"date-parts":[[2023,1,8]]},"end":{"date-parts":[[2023,1,11]]}},"container-title":["2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10059462\/10059600\/10059904.pdf?arnumber=10059904","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,10]],"date-time":"2023-04-10T14:51:01Z","timestamp":1681138261000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10059904\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,8]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/ccnc51644.2023.10059904","relation":{},"subject":[],"published":{"date-parts":[[2023,1,8]]}}}