{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:17:59Z","timestamp":1750220279849,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":43,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,7,23]],"date-time":"2021-07-23T00:00:00Z","timestamp":1626998400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,23]]},"DOI":"10.1145\/3480001.3480018","type":"proceedings-article","created":{"date-parts":[[2021,11,12]],"date-time":"2021-11-12T20:57:20Z","timestamp":1636750640000},"page":"26-31","source":"Crossref","is-referenced-by-count":1,"title":["PointerNet: Spatiotemporal Modeling for Crowd Counting in Videos"],"prefix":"10.1145","author":[{"given":"Changsheng","family":"Liu","sequence":"first","affiliation":[{"name":"Wangxuan Institute of Computer Technology, Wangxuan Institute of Computer Technology,Peking University;Peking University Founder Group Co. Ltd, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuan","family":"Huang","sequence":"additional","affiliation":[{"name":"Easiprint Business Section, Beijing Founder Easiprint Co. Ltd, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yadong","family":"Mu","sequence":"additional","affiliation":[{"name":"Peking University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoming","family":"Yu","sequence":"additional","affiliation":[{"name":"Founder Group Co. Ltd, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,11,12]]},"reference":[{"volume-title":"2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition. IEEE","author":"Liu X.","key":"e_1_3_2_1_1_1"},{"key":"e_1_3_2_1_2_1","first-page":"1","article-title":"Privacy preserving crowd monitoring: Counting people without people models or tracking. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, Anchorage","volume":"1","author":"Chan A. B.","year":"2008","journal-title":"AK, USA"},{"volume-title":"IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE","author":"Zhang C.","key":"e_1_3_2_1_3_1"},{"volume-title":"IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE","author":"Zhou B.","key":"e_1_3_2_1_4_1"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2637379"},{"key":"e_1_3_2_1_6_1","unstructured":"Chen J. Liang J. Lu H. Yu S.-I. and Hauptmann A. 2016. Videos from the 2013 Boston marathon: An event reconstruction dataset for synchronization and localization. Carnegie Mellon University https:\/\/doi.org\/10.1184\/R1\/6473834.v1  Chen J. Liang J. Lu H. Yu S.-I. and Hauptmann A. 2016. Videos from the 2013 Boston marathon: An event reconstruction dataset for synchronization and localization. Carnegie Mellon University https:\/\/doi.org\/10.1184\/R1\/6473834.v1"},{"volume-title":"IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE","author":"Ge W.","key":"e_1_3_2_1_7_1"},{"key":"e_1_3_2_1_8_1","first-page":"878","article-title":"Pedestrian detection in crowded scenes. In 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05). IEEE, San Diego","volume":"1","author":"Leibe B.","year":"2005","journal-title":"CA, USA"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2014.42"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-005-6644-8"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.70770"},{"volume-title":"2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE","author":"Stewart R.","key":"e_1_3_2_1_12_1"},{"key":"e_1_3_2_1_13_1","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks. In Proceedings of the 28th International Conference on Neural Information Processing Systems. MIT Press, Montreal","volume":"1","author":"Ren S.","year":"2015","journal-title":"Canada"},{"volume-title":"2015 IEEE International Conference on Computer Vision (ICCV). IEEE","author":"Vu T.","key":"e_1_3_2_1_14_1"},{"volume-title":"Overfeat: Integrated recognition, localization and detection using convolutional networks. arXiv preprint arXiv:1312.6229.","year":"2014","author":"Sermanet P.","key":"e_1_3_2_1_15_1"},{"volume-title":"Proceedings of the 24th ACM international conference on Multimedia. Association for Computing Machinery","author":"Boominathan L.","key":"e_1_3_2_1_16_1"},{"volume-title":"2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE","author":"Sam D.","key":"e_1_3_2_1_17_1"},{"volume-title":"2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE","author":"Liu W.","key":"e_1_3_2_1_18_1"},{"volume-title":"2015 IEEE International Conference on Computer Vision (ICCV). IEEE","author":"Pham V.","key":"e_1_3_2_1_19_1"},{"key":"e_1_3_2_1_20_1","first-page":"1","article-title":"Crowd density estimation based on rich features and random projection forest. In 2016 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, Lake Placid","volume":"1","author":"Xu B.","year":"2016","journal-title":"NY, USA"},{"volume":"1","volume-title":"Proceedings of the 23rd International Conference on Neural Information Processing Systems -","author":"Lempitsky V.","key":"e_1_3_2_1_21_1"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2019.04.012"},{"volume-title":"2019 IEEE International Conference on Multimedia and Expo (ICME). IEEE","author":"Fang Y.","key":"e_1_3_2_1_23_1"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.01.087"},{"volume-title":"2017 IEEE International Conference on Computer Vision (ICCV). IEEE","author":"Xiong F.","key":"e_1_3_2_1_25_1"},{"volume-title":"European Conference on Computer Vision (ECCV). Springer, Online event, 723\u2013740","author":"Liu W.","key":"e_1_3_2_1_26_1"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.04.071"},{"key":"e_1_3_2_1_28_1","unstructured":"Zou Z. Shao H. Qu X. Wei W. and Zhou P. 2019. Enhanced 3D convolutional networks for crowd counting. arXiv preprint arXiv:1908.04121.  Zou Z. Shao H. Qu X. Wei W. and Zhou P. 2019. Enhanced 3D convolutional networks for crowd counting. arXiv preprint arXiv:1908.04121."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.59"},{"volume-title":"2015 IEEE International Conference on Computer Vision (ICCV). IEEE","author":"Tran D.","key":"e_1_3_2_1_30_1"},{"volume-title":"2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE","author":"Carreira J.","key":"e_1_3_2_1_31_1"},{"volume-title":"2017 IEEE International Conference on Computer Vision (ICCV). IEEE Computer Society","author":"Qiu Z.","key":"e_1_3_2_1_32_1"},{"volume-title":"2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE","author":"Zhang X.","key":"e_1_3_2_1_33_1"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2019.2913372"},{"volume-title":"2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE","author":"Zhang Y.","key":"e_1_3_2_1_35_1"},{"key":"e_1_3_2_1_36_1","first-page":"1","article-title":"Feature mining for localised crowd counting. In Proceedings British Machine Vision Conference (BMVC). BMVA Press, Guildford, Surrey","volume":"21","author":"Chen K.","year":"2012","journal-title":"U.K."},{"key":"e_1_3_2_1_37_1","first-page":"615","article-title":"Towards perspective-free object counting with deep learning. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) Computer Vision \u2013 ECCV 2016, LNCS, Springer","volume":"9911","author":"O\u00f1oro D.","year":"2016","journal-title":"Cham"},{"volume-title":"Proceedings of the 27th International Joint Conference on Artificial Intelligence. AAAI Press","author":"Liu L.","key":"e_1_3_2_1_38_1"},{"key":"e_1_3_2_1_39_1","unstructured":"Kumagai S. Hotta K. and Kurita T. 2017. Mixture of counting CNNs: Adaptive integration of cnns specialized to specific appearance for crowd counting. arXiv preprint arXiv:1703.09393.  Kumagai S. Hotta K. and Kurita T. 2017. Mixture of counting CNNs: Adaptive integration of cnns specialized to specific appearance for crowd counting. arXiv preprint arXiv:1703.09393."},{"first-page":"2864","volume-title":"2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE","author":"Zou Z.","key":"e_1_3_2_1_40_1"},{"volume-title":"2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE","author":"Shi M.","key":"e_1_3_2_1_41_1"},{"volume-title":"2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE","author":"Fan H.","key":"e_1_3_2_1_42_1"},{"volume-title":"2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition. USA","author":"Li Y.","key":"e_1_3_2_1_43_1"}],"event":{"name":"ICDLT 2021: 2021 5th International Conference on Deep Learning Technologies","acronym":"ICDLT 2021","location":"Qingdao China"},"container-title":["2021 5th International Conference on Deep Learning Technologies (ICDLT)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3480001.3480018","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3480001.3480018","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:31:16Z","timestamp":1750188676000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3480001.3480018"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,23]]},"references-count":43,"alternative-id":["10.1145\/3480001.3480018","10.1145\/3480001"],"URL":"https:\/\/doi.org\/10.1145\/3480001.3480018","relation":{},"subject":[],"published":{"date-parts":[[2021,7,23]]}}}