{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T20:22:42Z","timestamp":1782937362760,"version":"3.54.5"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,19]],"date-time":"2023-06-19T00:00:00Z","timestamp":1687132800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,19]],"date-time":"2023-06-19T00:00:00Z","timestamp":1687132800000},"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":[[2023,6,19]]},"DOI":"10.1109\/isie51358.2023.10228106","type":"proceedings-article","created":{"date-parts":[[2023,8,31]],"date-time":"2023-08-31T17:30:24Z","timestamp":1693503024000},"page":"1-6","source":"Crossref","is-referenced-by-count":17,"title":["ARTriViT: Automatic Face Recognition System Using ViT-Based Siamese Neural Networks with a Triplet Loss"],"prefix":"10.1109","author":[{"given":"Mustaqeem","family":"Khan","sequence":"first","affiliation":[{"name":"Mohamed Bin Zayed University of Artificial Intelligence,Masdar City,Abu Dhabi,UAE"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad","family":"Saeed","sequence":"additional","affiliation":[{"name":"Mohamed Bin Zayed University of Artificial Intelligence,Masdar City,Abu Dhabi,UAE"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abdulmotaleb","family":"El Saddik","sequence":"additional","affiliation":[{"name":"Mohamed Bin Zayed University of Artificial Intelligence,Masdar City,Abu Dhabi,UAE"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wail","family":"Gueaieb","sequence":"additional","affiliation":[{"name":"Mohamed Bin Zayed University of Artificial Intelligence,Masdar City,Abu Dhabi,UAE"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","article-title":"An introduction to convolutional neural networks","author":"o\u2019shea","year":"2015","journal-title":"arXiv preprint arXiv 1511"},{"key":"ref12","article-title":"Attention is all you need","volume":"30","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref15","first-page":"12299","article-title":"Pretrained image processing transformer","author":"chen","year":"2021","journal-title":"Proc IEEE Conf Computer Vision and Pattern Recognition"},{"key":"ref14","first-page":"357","article-title":"CrossFit: Cross-attention multi-scale vision transformer for image classification","author":"chen","year":"2021","journal-title":"In Proceedings of the IEEE\/CVF International Conference on Computer Vision"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2301163"},{"key":"ref30","first-page":"3207","article-title":"Celebdf: A large-scale challenging dataset for deep fake forensics","author":"li","year":"2020","journal-title":"Proc IEEE Conf Computer Vision and Pattern Recognition"},{"key":"ref11","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"dosovitskiy","year":"2020","journal-title":"arXiv preprint arXiv 2010 11419"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298891"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.224"},{"key":"ref32","first-page":"1701","article-title":"Deepface: Closing the gap to human-level performance in face verification","author":"taigman","year":"2014","journal-title":"Proc IEEE Conf Computer Vision and Pattern Recognition"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2010.37"},{"key":"ref1","article-title":"Handbook of face recognition","volume":"1","author":"jain","year":"2011"},{"key":"ref17","article-title":"Pointnext: Revisiting pointnet++ with improved training and scaling strategies","author":"qian","year":"2022","journal-title":"arXiv preprint arXiv 2206 04670"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00911"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref18","first-page":"1701","article-title":"Deepface: Closing the gap to human-level performance in face verification","author":"taigman","year":"2014","journal-title":"Proc IEEE Conf Computer Vision and Pattern Recognition"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.01.041"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2792452"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.268"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2017.8078554"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2833032"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2765830"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.300"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.5244\/C.29.41"},{"key":"ref27","first-page":"1701","article-title":"Deepface: Closing the gap to human-level performance in face verification","author":"taigman","year":"2014","journal-title":"Proc IEEE Conf Computer Vision and Pattern Recognition"},{"key":"ref29","article-title":"Labeled faces in the wild: A database for studying face recognition in unconstrained environments","author":"huang","year":"2008","journal-title":"Workshop on faces in&#x2019;Real-Life&#x2019;Images detection alignment and recognition"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001493000339"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/BTAS.2017.8272751"},{"key":"ref9","article-title":"Deepid3: Face recognition with very deep neural networks","author":"sun","year":"2015","journal-title":"arXiv preprint arXiv 1502 00254"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207318"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.202"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.256"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.14210\/cotb.v11n1.p176-182"}],"event":{"name":"2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE)","location":"Helsinki, Finland","start":{"date-parts":[[2023,6,19]]},"end":{"date-parts":[[2023,6,21]]}},"container-title":["2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10227852\/10227910\/10228106.pdf?arnumber=10228106","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T17:52:35Z","timestamp":1695664355000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10228106\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,19]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/isie51358.2023.10228106","relation":{},"subject":[],"published":{"date-parts":[[2023,6,19]]}}}