{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T20:19:12Z","timestamp":1725740352429},"reference-count":40,"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"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,1,10]]},"DOI":"10.1109\/icpr48806.2021.9413228","type":"proceedings-article","created":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T22:15:54Z","timestamp":1620252954000},"page":"5190-5197","source":"Crossref","is-referenced-by-count":3,"title":["Not 3D Re-ID: Simple Single Stream 2D Convolution for Robust Video Re-identification"],"prefix":"10.1109","author":[{"given":"Toby P.","family":"Breckon","sequence":"first","affiliation":[]},{"given":"Aishah","family":"Alsehaim","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"journal-title":"Random Erasing Data Augmentation","year":"2017","author":"zhong","key":"ref39"},{"key":"ref38","first-page":"868","article-title":"Mars: A video benchmark for large-scale person re-identification","author":"zheng","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00535"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-6296-4_17"},{"key":"ref31","first-page":"4489","article-title":"Learning spatiotemporal features with 3d convolutional networks","author":"tran","year":"2015","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref37","first-page":"4913","article-title":"Attribute-driven feature disentangling and temporal aggregation for video person reidentification","author":"zhao","year":"2019","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.507"},{"key":"ref35","first-page":"499","article-title":"A discriminative feature learning approach for deep face recognition","author":"wen","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00159"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.717"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21227-7_9"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00735"},{"key":"ref13","article-title":"Adam: A Method for Stochastic Optimization. 2015 International Conference on Learning Representations","author":"kingma","year":"0","journal-title":"Proc Int Conf Learning Representations (2014)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2898940"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2972108"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00406"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00046"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.499"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2958756"},{"key":"ref28","first-page":"402","article-title":"Part-aligned bilinear representations for person re-identification","author":"suh","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2019.01.010"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00065"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299036"},{"key":"ref6","article-title":"Revisiting temporal modeling for video-based person reid","author":"gao","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref29","first-page":"480","article-title":"Beyond part models: Person retrieval with refined part pooling (and a strong convolutional baseline)","author":"sun","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.167"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00974"},{"key":"ref7","first-page":"523","article-title":"A systematic evaluation and benchmark for person re-identification: Features, metrics, and datasets","author":"gou","year":"0","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence 41 3 (2018)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00128"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"journal-title":"Torchsummary Model Summary in PyTorch Similar to ‘model Summary()’ in Keras","year":"0","author":"chandel","key":"ref1"},{"key":"ref20","first-page":"1325","article-title":"Recurrent convolutional network for video-based person re-identification","author":"mclaughlin","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref22","article-title":"Video Person Re-ID: Fantastic Techniques and Where to Find Them","author":"pathak","year":"2019","journal-title":"Arxiv preprint arXiv"},{"key":"ref21","first-page":"464","article-title":"Two at once: Enhancing learning and generalization capacities via ibn-net","author":"pan","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision"},{"key":"ref24","first-page":"5533","article-title":"Learning spatiotemporal representation with pseudo-3d residual networks","author":"qiu","year":"2017","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.426"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.427"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"}],"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\/09413228.pdf?arnumber=9413228","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T11:40:47Z","timestamp":1652182847000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9413228\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,10]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/icpr48806.2021.9413228","relation":{},"subject":[],"published":{"date-parts":[[2021,1,10]]}}}