{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T21:10:36Z","timestamp":1762377036671,"version":"3.37.3"},"reference-count":61,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2020AI515010711"],"award-info":[{"award-number":["2020AI515010711"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,18]]},"DOI":"10.1109\/ijcnn52387.2021.9533665","type":"proceedings-article","created":{"date-parts":[[2021,9,20]],"date-time":"2021-09-20T21:27:41Z","timestamp":1632173261000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["Triplet Angular Loss for Pose-Robust Face Recognition"],"prefix":"10.1109","author":[{"given":"Zhenduo","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Yongru","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Wenming","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Guijin","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Qingmin","family":"Liao","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2341634"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33718-5_8"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33718-5_58"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.48"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1017623"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126336"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.123"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2003.1227983"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2012.08.001"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.554"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.499"},{"key":"ref28","first-page":"572","article-title":"Gabor-based kernel pca with fractional power polynomial models for face recognition","volume":"25","author":"liu","year":"2004","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.250598"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"ref2","article-title":"Effective 3d based frontalization for unconstrained face recognition","author":"claudio","year":"0","journal-title":"ICPR 2016"},{"key":"ref1","article-title":"Statistical symmetric shape from shading for 3d structure recovery of faces","author":"roman","year":"0","journal-title":"Eur Conf Comput Vis"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00482"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.713"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298803"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2016.7477558"},{"key":"ref26","article-title":"Locality preserving projections","volume":"19","author":"he","year":"2004","journal-title":"Adv Neural Inform Process Syst"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/34.598228"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.2352\/ISSN.2470-1173.2016.11.IMAWM-463"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2016.7477558"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2017.11"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01008"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2017.137"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.523"},{"key":"ref55","article-title":"Pf-cpgan: Profile to frontal coupled gan for face recognition in the wild","author":"taherkhani","year":"0","journal-title":"IEEE International Joint Conference on Biometrics"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858819"},{"key":"ref53","article-title":"Multi-task convolutional neural network for face recognition","author":"yin","year":"0","journal-title":"2017 IEEE TIP"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/BTAS.2016.7791205"},{"key":"ref10","article-title":"Cr-gan: Learning complete representations for multi-view generation","author":"yu","year":"0","journal-title":"IlCAI 2018"},{"key":"ref11","article-title":"Towards large-pose face frontalization in the wild","author":"xi","year":"0","journal-title":"Int Conf Comput Vis 2017"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2386307"},{"key":"ref12","article-title":"3d-aided deep pose-invariant face recognition","author":"jian","year":"0","journal-title":"IJCAI 2018"},{"key":"ref13","article-title":"Uvgan: Adversarial facial uv map completion for pose-invariant face recognition","author":"jiankang","year":"0","journal-title":"IEEE Conf Comput Vis Pattern Recog 2018"},{"key":"ref14","article-title":"Learning a high fidelity pose invariant model for high-resolution face frontalization","author":"cao","year":"0","journal-title":"Adv Neural Inform Process Syst 2018"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00544"},{"key":"ref16","article-title":"Reconstruction for feature disentanglement in pose-invariant face recognition","author":"peng","year":"0","journal-title":"IEEE Conf Comput Vis Pattern Recog 2018"},{"key":"ref17","article-title":"Real-world person reidentification via degradation invariance learning","author":"huang","year":"0","journal-title":"IEEE Conf Comput Vis Pattern Recog 2020"},{"key":"ref18","article-title":"Learning disentangled representation for robust person re-identification","author":"eom","year":"0","journal-title":"Adv Neural Inform Process Syst 2019"},{"key":"ref19","article-title":"Learning face representation from scratch","author":"yi","year":"0","journal-title":"arXiv 1411 7923 2014"},{"key":"ref4","article-title":"Effective face frontalization in unconstrained images","author":"tal","year":"0","journal-title":"2015 IEEE Conf Comput Vis Pattern Recog"},{"key":"ref3","article-title":"Viewing real-world faces in 3d","author":"tal","year":"0","journal-title":"2013 Int Conf Comp Vis"},{"key":"ref6","article-title":"Generative adversarial nets","author":"ian","year":"0","journal-title":"Adv Neural Inform Process Syst 2014"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298679"},{"key":"ref8","article-title":"Pose-guided photorealistic face rotation","author":"yibo","year":"0","journal-title":"IEEE Conf Comput Vis Pattern Recog"},{"key":"ref7","article-title":"Disentangled representation learning gan for pose-invariant face recognition","author":"luan","year":"0","journal-title":"IEEE Conf Comput Vis Pattern Recog"},{"key":"ref49","article-title":"Robust re-identification by multiple views knowledge distillation","author":"porrello","year":"0","journal-title":"Eur Conf Comput Vis 2020"},{"key":"ref9","article-title":"Towards pose invariant face recognition in the wild","author":"jian","year":"0","journal-title":"IEEE Conf Comput Vis Pattern Recog 2018"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00552"},{"key":"ref45","article-title":"A morphable model for the synthesis of 3d faces","author":"volker","year":"0","journal-title":"SIGGRAPH 1999"},{"key":"ref48","article-title":"Distilling the knowledge in a neural network","author":"hinton","year":"0","journal-title":"Proceedings of NIPS Deep Learning and Representation Learning Workshop"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6974"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2464681"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2405574"},{"key":"ref44","article-title":"Beyond face rotation: Global and local perception gan for photorealistic and identity preserving frontal view synthesis","author":"rui","year":"0","journal-title":"Int Conf Comput Vis"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2436951"}],"event":{"name":"2021 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2021,7,18]]},"location":"Shenzhen, China","end":{"date-parts":[[2021,7,22]]}},"container-title":["2021 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9533266\/9533267\/09533665.pdf?arnumber=9533665","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:46:00Z","timestamp":1652197560000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9533665\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,18]]},"references-count":61,"URL":"https:\/\/doi.org\/10.1109\/ijcnn52387.2021.9533665","relation":{},"subject":[],"published":{"date-parts":[[2021,7,18]]}}}