{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T00:59:49Z","timestamp":1755219589070,"version":"3.43.0"},"reference-count":66,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,5,26]],"date-time":"2025-05-26T00:00:00Z","timestamp":1748217600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,26]],"date-time":"2025-05-26T00:00:00Z","timestamp":1748217600000},"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":[[2025,5,26]]},"DOI":"10.1109\/fg61629.2025.11099389","type":"proceedings-article","created":{"date-parts":[[2025,8,6]],"date-time":"2025-08-06T17:55:00Z","timestamp":1754502900000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Test-Time Augmentation for Pose-invariant Face Recognition"],"prefix":"10.1109","author":[{"given":"Jaemin","family":"Jung","sequence":"first","affiliation":[{"name":"Korea Advanced Institute of Science and Technology,South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youngjoon","family":"Jang","sequence":"additional","affiliation":[{"name":"Korea Advanced Institute of Science and Technology,South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joon Son","family":"Chung","sequence":"additional","affiliation":[{"name":"Korea Advanced Institute of Science and Technology,South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00032"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/FG59268.2024.10581990"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00352"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00009"},{"key":"ref5","first-page":"77","article-title":"Gender shades: Intersectional accuracy disparities in commercial gender classification","volume-title":"Conference on fairness, accountability and transparency","author":"Buolamwini"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00020"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/FG59268.2024.10581967"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-97909-0_46"},{"key":"ref9","article-title":"Generalizable and animatable gaussian head avatar","author":"Chu","year":"2024","journal-title":"Proc. NeurIPS"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-1929"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00482"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00322"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72643-9_19"},{"key":"ref14","article-title":"An image is worth 16 times 16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2021","journal-title":"Proc. ICLR"},{"key":"ref15","article-title":"Boostgan for occlusive profile face frontalization and recognition","author":"Duan","year":"2019","journal-title":"arXiv preprint arXiv:1902.09782"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2021.3050065"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/FG59268.2024.10581966"},{"volume-title":"Liveportrait: Efficient portrait animation with stitching and retargeting control","year":"2024","author":"Guo","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72973-7_2"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00876"},{"article-title":"Labeled faces in the wild: A database forstudying face recognition in unconstrained environments","volume-title":"In Workshop on faces in \u2018Real-Life\u2019Images: detection, alignment, and recognition, 2008","author":"Huang","key":"ref22"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612587"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49660.2025.10890322"},{"key":"ref25","article-title":"Learning loss for test-time augmentation","author":"Kim","year":"2020","journal-title":"Proc. NeurIPS"},{"article-title":"CVLFace: High-Performance Face Recognition All-in-One Toolkit","year":"2024","author":"Kim","key":"ref26"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01819"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01223"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-92185-9_46"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10446300"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3705658"},{"key":"ref32","first-page":"56424","article-title":"Autoregressive image generation without vector quantization","volume":"37","author":"Li","year":"2024","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.713"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3322593"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3457607"},{"volume-title":"Poseface: Pose-invariant features and pose-adaptive loss for face recognition","year":"2021","author":"Meng","key":"ref36"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.250"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/FG59268.2024.10582027"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP51287.2024.10647871"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01008"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00281"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2016.7477558"},{"issue":"3","key":"ref44","first-page":"4","article-title":"When and why test-time augmentation works","volume":"1","author":"Shanmugam","year":"2020","journal-title":"arXiv preprint arXiv:2011.11156"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00125"},{"key":"ref46","article-title":"First order motion model for image animation","author":"Siarohin","year":"2019","journal-title":"Proc. NeurIPS"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01344"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-65414-6_32"},{"key":"ref49","article-title":"Qgface: Quality-guided joint training for mixedquality face recognition","author":"Song","year":"2024","journal-title":"Proc. F G"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00643"},{"key":"ref51","first-page":"84839","article-title":"Visual autoregressive modeling: Scalable image generation via next-scale prediction","volume":"37","author":"Tian","year":"2024","journal-title":"Advances in neural information processing systems"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2020.06.014"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.141"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1038\/d41586-020-03187-3"},{"key":"ref55","article-title":"Neural codec language models are zero-shot text to speech synthesizers","author":"Wang","year":"2023","journal-title":"arXiv preprint arXiv:2301.02111"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2822810"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00552"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2024.3449075"},{"key":"ref59","article-title":"Aniportrait: Audio-driven synthesis of photorealistic portrait animation","author":"Wei","year":"2024","journal-title":"arXiv preprint arXiv:2403.17694"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1145\/3641519.3657459"},{"key":"ref61","article-title":"Learning face representation from scratch","author":"Yi","year":"2014","journal-title":"arXiv preprint arXiv:1411.7923"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/FG47880.2020.00004"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00070"},{"issue":"7","key":"ref64","first-page":"5","article-title":"Cross-pose 1fw: A database for studying cross-pose face recognition in unconstrained environments","volume-title":"Tech. Rep","volume":"5","author":"Zheng","year":"2018"},{"key":"ref65","article-title":"Cross-age lfw: A database for studying cross-age face recognition in unconstrained environments","author":"Zheng","year":"2017","journal-title":"arXiv preprint arXiv:1708.08197"},{"journal-title":"In Proc. CVPR, 2021","article-title":"Webface 260 m: A benchmark unveiling the power of million-scale deep face recognition","author":"Zhu","key":"ref66"}],"event":{"name":"2025 IEEE 19th International Conference on Automatic Face and Gesture Recognition (FG)","start":{"date-parts":[[2025,5,26]]},"location":"Tampa\/Clearwater, FL, USA","end":{"date-parts":[[2025,5,30]]}},"container-title":["2025 IEEE 19th International Conference on Automatic Face and Gesture Recognition (FG)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11099084\/11099070\/11099389.pdf?arnumber=11099389","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T05:01:56Z","timestamp":1754542916000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11099389\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,26]]},"references-count":66,"URL":"https:\/\/doi.org\/10.1109\/fg61629.2025.11099389","relation":{},"subject":[],"published":{"date-parts":[[2025,5,26]]}}}