TY - STD TI - A. M. Burrows, J. F. Cohn, in Encyclopedia of Biometrics, Second Edition. Comparative anatomy of the face, (2015), pp. 313–321. https://doi.org/10.1007/978-1-4899-7488-4_190. ID - ref1 ER - TY - JOUR AU - Chellappa, R. AU - Wilson, C. L. AU - Sirohey, S. PY - 1995 DA - 1995// TI - Human and machine recognition of faces: a survey JO - Proc. IEEE VL - 83 ID - Chellappa1995 ER - TY - STD TI - Y. Wang, T. Bao, D. Ding, M. Zhu, in 2017 2nd International Conference on Image, Vision and Computing (ICIVC). Face recognition in real-world surveillance videos with deep learning method, (2017), pp. 239–243. https://doi.org/10.1109/ICIVC.2017.7984553. ID - ref3 ER - TY - STD TI - S. Degadwala, S. Pandya, V. Patel, S. Shah, U. Doshi, in International Conference on Recent Trends in Engineering, Science Technology - (ICRTEST 2016). A review on real time face tracking and identification for surveillance system, (2016), pp. 1–5. https://doi.org/10.1049/cp.2016.1477. ID - ref4 ER - TY - STD TI - , in International Civil Aviation Organization (ICAO) Doc 9303 vol. 2. Machine readable travel documents, (2006). ID - ref5 ER - TY - JOUR AU - Labati, R. D. AU - Genovese, A. AU - Muñoz, E. AU - Piuri, V. AU - Scotti, F. AU - Sforza, G. PY - 2016 DA - 2016// TI - Biometric recognition in automated border control: a survey JO - ACM Comput. Surv. VL - 49 ID - Labati2016 ER - TY - JOUR AU - Choi, J. Y. AU - De Neve, W. AU - Plataniotis, K. N. AU - Ro, Y. M. PY - 2011 DA - 2011// TI - Collaborative face recognition for improved face annotation in personal photo collections shared on online social networks JO - IEEE Trans. Multimed. VL - 13 ID - Choi2011 ER - TY - CHAP AU - Xu, Q. AU - Mukawa, M. AU - Li, L. AU - Lim, J. H. AU - Tan, C. AU - Chia, S. C. AU - Gan, T. AU - Mandal, B. PY - 2015 DA - 2015// TI - Exploring users’ attitudes towards social interaction assistance on google glass BT - Proceedings of the 6th Augmented Human International Conference, AH ’15 PB - ACM CY - New York, NY, USA ID - Xu2015 ER - TY - BOOK PY - 2016 DA - 2016// TI - Trends in machine and human face recognition PB - Springer CY - Cham ID - ref9 ER - TY - STD TI - B. Mandal, in 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV). Face recognition: perspectives from the real world, (2016), pp. 1–5. https://doi.org/10.1109/ICARCV.2016.7838675. ID - ref10 ER - TY - JOUR AU - Zhang, X. AU - Gao, Y. PY - 2009 DA - 2009// TI - Face recognition across pose: a review JO - Pattern Recogn. VL - 42 ID - Zhang2009 ER - TY - BOOK PY - 2015 DA - 2015// TI - Face sample quality PB - Springer CY - Boston, MA ID - ref12 ER - TY - CHAP AU - Conde, C. AU - de Diego, I. M. AU - Cabello, E. ED - Obaidat, M. S. ED - Sevillano, J. L. ED - Filipe, J. PY - 2012 DA - 2012// TI - Face recognition in uncontrolled environments, experiments in an airport BT - E-business and telecommunications PB - Springer CY - Berlin, Heidelberg ID - Conde2012 ER - TY - STD TI - W. W. Bledsoe, The model method in facial recognition. Technical Report, PRI 15, Panoramic Research (1964). Inc., Palo Alto, CA, California. ID - ref14 ER - TY - STD TI - W. Bledsoe, Man-machine facial recognition: Report on a large-scale experiment. Panoramic Research (1966). Inc., Palo Alto, CA. ID - ref15 ER - TY - JOUR AU - Serrano, A. AU - de Diego, I. M. AU - Conde, C. AU - Cabello, E. PY - 2010 DA - 2010// TI - Recent advances in face biometrics with gabor wavelets: a review JO - Pattern Recogn. Lett. VL - 31 ID - Serrano2010 ER - TY - STD TI - P. S. Penev, J. J. Atick. Local feature analysis: a general statistical theory for object representation, (1996). https://doi.org/10.1088/0954-898x_7_3_002. ID - ref17 ER - TY - JOUR AU - Cootes, T. F. AU - Edwards, G. J. AU - Taylor, C. J. PY - 2001 DA - 2001// TI - Active appearance models JO - IEEE Trans. Pattern Anal. Mach. Intell. VL - 23 ID - Cootes2001 ER - TY - STD TI - L. Wiskott, J. -. Fellous, N. Kruger, C. von der Malsburg, in Proceedings of International Conference on Image Processing, vol. 1. Face recognition by elastic bunch graph matching, (1997), pp. 129–1321. https://doi.org/10.1109/ICIP.1997.647401. ID - ref19 ER - TY - JOUR AU - Ahonen, T. AU - Hadid, A. AU - Pietikainen, M. PY - 2006 DA - 2006// TI - Face description with local binary patterns: application to face recognition JO - IEEE Trans. Pattern Anal. Mach. Intell. VL - 28 ID - Ahonen2006 ER - TY - JOUR AU - Chen, S. AU - Mau, S. AU - Harandi, M. T. AU - Sanderson, C. AU - Bigdeli, A. AU - Lovell, B. C. PY - 2010 DA - 2010// TI - Face recognition from still images to video sequences: a local-feature-based framework JO - EURASIP J. Video Process. VL - 2011 ID - Chen2010 ER - TY - STD TI - A. Rattani, D. R. Kisku, M. Bicego, M. Tistarelli, in 2007 First IEEE International Conference on Biometrics: Theory, Applications, and Systems. Feature level fusion of face and fingerprint biometrics, (2007), pp. 1–6. https://doi.org/10.1109/BTAS.2007.4401919. ID - ref22 ER - TY - STD TI - N. Dalal, B. Triggs, in 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), vol. 1. Histograms of oriented gradients for human detection, (2005), pp. 886–8931. https://doi.org/10.1109/CVPR.2005.177. ID - ref23 ER - TY - JOUR AU - Turk, M. AU - Pentland, A. PY - 1991 DA - 1991// TI - Eigenfaces for recognition JO - J. Cogn. Neurosci. VL - 3 ID - Turk1991 ER - TY - JOUR AU - Belhumeur, P. N. AU - Hespanha, J. P. AU - Kriegman, D. J. PY - 1997 DA - 1997// TI - Eigenfaces vs. fisherfaces: recognition using class specific linear projection JO - IEEE Trans. Pattern Anal. Mach. Intell. VL - 19 ID - Belhumeur1997 ER - TY - JOUR AU - Galbally, J. AU - McCool, C. AU - Fierrez, J. AU - Marcel, S. AU - Ortega-Garcia, J. PY - 2010 DA - 2010// TI - On the vulnerability of face verification systems to hill-climbing attacks JO - Pattern Recogn. VL - 43 ID - Galbally2010 ER - TY - STD TI - Y. Taigman, M. Yang, M. Ranzato, L. Wolf, in 2014 IEEE Conference on Computer Vision and Pattern Recognition. Deepface: closing the gap to human-level performance in face verification, (2014), pp. 1701–1708. https://doi.org/10.1109/CVPR.2014.220. ID - ref27 ER - TY - STD TI - Y. Sun, D. Liang, X. Wang, X. Tang, Deepid3: face recognition with very deep neural networks. CoRR. abs/1502.00873: (2015). http://arxiv.org/abs/1502.00873. ID - ref28 ER - TY - STD TI - F. Schroff, D. Kalenichenko, J. Philbin, in 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Facenet: a unified embedding for face recognition and clustering, (2015), pp. 815–823. https://doi.org/10.1109/CVPR.2015.7298682. ID - ref29 ER - TY - JOUR AU - Jafri, R. AU - Arabnia, H. PY - 2009 DA - 2009// TI - A survey of face recognition techniques JO - J. Inf. Process. Syst. (JIPS) VL - 5 ID - Jafri2009 ER - TY - CHAP AU - Huang, G. B. AU - Mattar, M. AU - Berg, T. AU - Learned-Miller, E. PY - 2008 DA - 2008// TI - Labeled faces in the wild: a database for studying face recognition in Unconstrained Environments BT - Workshop on faces in ’real-life’ images: detection, alignment, and recognition PB - Erik Learned-Miller and Andras Ferencz and Frédéric Jurie CY - Marseille, France ID - Huang2008 ER - TY - JOUR AU - Lecun, Y. AU - Bottou, L. AU - Bengio, Y. AU - Haffner, P. PY - 1998 DA - 1998// TI - Gradient-based learning applied to document recognition JO - Proc. IEEE VL - 86 ID - Lecun1998 ER - TY - JOUR AU - Russakovsky, O. AU - Deng, J. AU - Su, H. AU - Krause, J. AU - Satheesh, S. AU - Ma, S. AU - Huang, Z. AU - Karpathy, A. AU - Khosla, A. AU - Bernstein, M. AU - Berg, A. C. AU - Fei-Fei, L. PY - 2015 DA - 2015// TI - Imagenet large scale visual recognition challenge JO - Int. J. Comput. Vis. VL - 115 ID - Russakovsky2015 ER - TY - CHAP AU - Krizhevsky, A. AU - Sutskever, I. AU - Hinton, G. E. PY - 2012 DA - 2012// TI - Imagenet classification with deep convolutional neural networks BT - Proceedings of the 25th International Conference on Neural Information Processing Systems - Volume 1, NIPS’12 PB - Curran Associates Inc. CY - USA ID - Krizhevsky2012 ER - TY - STD TI - K. Simonyan, A. Zisserman, in International Conference on Learning Representations. Very deep convolutional networks for large-scale image recognition, (2015). ID - ref35 ER - TY - STD TI - C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, A. Rabinovich, in 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Going deeper with convolutions, (2015), pp. 1–9. https://doi.org/10.1109/CVPR.2015.7298594. ID - ref36 ER - TY - STD TI - O. M. Parkhi, A. Vedaldi, A. Zisserman, in Proceedings of the British Machine Vision Conference (BMVC), ed. by M. W. J. Xianghua Xie, G. K. L. Tam. Deep face recognition (BMVA Press, 2015), pp. 41–14112. https://doi.org/10.5244/C.29.41. ID - ref37 ER - TY - STD TI - J. Deng, J. Guo, S. Zafeiriou, Arcface: additive angular margin loss for deep face recognition. CoRR. abs/1801.07698: (2018). http://arxiv.org/abs/1801.07698. ID - ref38 ER - TY - STD TI - B. Klare, B. Klein, E. Taborsky, A. Blanton, J. Cheney, K. E. Allen, P. Grother, A. Mah, M. Burge, A. K. Jain, in 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Pushing the frontiers of unconstrained face detection and recognition: Iarpa janus benchmark a, (2015), pp. 1931–1939. https://doi.org/10.1109/cvpr.2015.7298803. ID - ref39 ER - TY - STD TI - C. Whitelam, E. Taborsky, A. Blanton, B. Maze, J. Adams, T. Miller, N. Kalka, A. K. Jain, J. A. Duncan, K. Allen, J. Cheney, P. Grother, in 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Iarpa janus benchmark-b face dataset, (2017), pp. 592–600. https://doi.org/10.1109/CVPRW.2017.87. ID - ref40 ER - TY - STD TI - B. Maze, J. Adams, J. A. Duncan, N. Kalka, T. Miller, C. Otto, A. K. Jain, W. T. Niggel, J. Anderson, J. Cheney, P. Grother, in 2018 International Conference on Biometrics (ICB). Iarpa janus benchmark - c: face dataset and protocol, (2018), pp. 158–165. https://doi.org/10.1109/ICB2018.2018.00033. ID - ref41 ER - TY - STD TI - I. Masi, Y. Wu, T. Hassner, P. Natarajan, in 2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI). Deep face recognition: a survey, (2018), pp. 471–478. https://doi.org/10.1109/sibgrapi.2018.00067. ID - ref42 ER - TY - JOUR AU - Mandal, B. AU - Wang, Z. AU - Li, L. AU - Kassim, A. A. PY - 2016 DA - 2016// TI - Performance evaluation of local descriptors and distance measures on benchmarks and first-person-view videos for face identification JO - Neurocomputing VL - 184 ID - Mandal2016 ER - TY - JOUR AU - Bowyer, K. W. AU - Chang, K. I. AU - Flynn, P. J. PY - 2006 DA - 2006// TI - A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition JO - Comput. Vis. Image Underst. VL - 101 ID - Bowyer2006 ER - TY - CHAP AU - Scheenstra, A. AU - Ruifrok, A. AU - Veltkamp, R. C. ED - Kanade, T. ED - Jain, A. ED - Ratha, N. K. PY - 2005 DA - 2005// TI - A survey of 3D face recognition methods BT - Audio- and video-based biometric person authentication PB - Springer CY - Berlin, Heidelberg ID - Scheenstra2005 ER - TY - STD TI - M. Wang, W. Deng, Deep face recognition: a survey. CoRR. abs/1804.06655: (2018). http://arxiv.org/abs/1804.06655. ID - ref46 ER - TY - JOUR AU - Zhou, S. AU - Xiao, S. PY - 2018 DA - 2018// TI - 3D face recognition: a survey JO - Hum. Centric Comput. Inf. Sci. VL - 8 ID - Zhou2018 ER - TY - CHAP AU - Ferraz, C. T. AU - Saito, J. H. PY - 2018 DA - 2018// TI - A comprehensive analysis of local binary convolutional neural network for fast face recognition in surveillance video BT - Proceedings of the 24th Brazilian Symposium on Multimedia and the Web, WebMedia ’18 PB - ACM CY - New York, NY, USA ID - Ferraz2018 ER - TY - STD TI - T. Patel, B. Shah, in 2017 International Conference on Innovative Mechanisms for Industry Applications (ICIMIA). A survey on facial feature extraction techniques for automatic face annotation, (2017), pp. 224–228. https://doi.org/10.1109/ICIMIA.2017.7975607. ID - ref49 ER - TY - STD TI - B. Prihasto, S. Choirunnisa, M. I. Nurdiansyah, S. Mathulaprangsan, V. C. Chu, S. Chen, J. Wang, in 2016 International Conference on Orange Technologies (ICOT). A survey of deep face recognition in the wild, (2016), pp. 76–79. https://doi.org/10.1109/ICOT.2016.8278983. ID - ref50 ER - TY - STD TI - C. Ding, D. Tao, A comprehensive survey on pose-invariant face recognition. CoRR. abs/1502.04383: (2015). http://arxiv.org/abs/1502.04383. ID - ref51 ER - TY - JOUR AU - Ochoa-Villegas, M. A. AU - Nolazco-Flores, J. A. AU - Barron-Cano, O. AU - Kakadiaris, I. A. PY - 2015 DA - 2015// TI - Addressing the illumination challenge in two-dimensional face recognition: a survey JO - IET Comput. Vis. VL - 9 ID - Ochoa-Villegas2015 ER - TY - JOUR AU - Tyagi, R. AU - Tomar, G. AU - Baik, N. PY - 2016 DA - 2016// TI - A survey of unconstrained face recognition algorithm and its applications JO - Int. J. Secur. Appl. VL - 10 ID - Tyagi2016 ER - TY - CHAP AU - Sun, Y. AU - Wang, X. AU - Tang, X. PY - 2014 DA - 2014// TI - Deep learning face representation from predicting 10,000 classes BT - Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, IEEE Conference on Computer Vision and Pattern Recognition (CVPR ’14) PB - IEEE Computer Society CY - Washington, DC, USA ID - Sun2014 ER - TY - CHAP AU - Sun, Y. AU - Chen, Y. AU - Wang, X. AU - Tang, X. PY - 2014 DA - 2014// TI - Deep learning face representation by joint identification-verification BT - Proceedings of the 27th International Conference on Neural Information Processing Systems - Volume 2, NIPS’14 PB - MIT Press CY - Cambridge, MA, USA ID - Sun2014 ER - TY - STD TI - Y. Sun, X. Wang, X. Tang, in 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Deeply learned face representations are sparse, selective, and robust, (2015), pp. 2892–2900. https://doi.org/10.1109/cvpr.2015.7298907. https://app.dimensions.ai/details/publication/pub.1095455292andhttp://arxiv.org/pdf/1412.1265. UR - https://doi.org/10.1109/cvpr.2015.7298907 ID - ref56 ER - TY - STD TI - J. Liu, Y. Deng, T. Bai, C. Huang, Targeting ultimate accuracy: face recognition via deep embedding. CoRR. abs/1506.07310: (2015). http://arxiv.org/abs/1506.07310. ID - ref57 ER - TY - STD TI - J. Yang, P. Ren, D. Chen, F. Wen, H. Li, G. Hua, Neural aggregation network for video face recognition, (2016). https://doi.org/10.1109/cvpr.2017.554. ID - ref58 ER - TY - STD TI - N. Crosswhite, J. Byrne, C. Stauffer, O. Parkhi, Q. Cao, A. Zisserman, in 2017 12th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2017). Template adaptation for face verification and identification, (2017), pp. 1–8. https://doi.org/10.1109/FG.2017.11. ID - ref59 ER - TY - STD TI - W. Liu, Y. Wen, Z. Yu, M. Li, B. Raj, L. Song, in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Sphereface: deep hypersphere embedding for face recognition, (2017), pp. 6738–6746. https://doi.org/10.1109/CVPR.2017.713. ID - ref60 ER - TY - STD TI - H. Wang, Y. Wang, Z. Zhou, X. Ji, D. Gong, J. Zhou, Z. Li, W. Liu, in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Cosface: large margin cosine loss for deep face recognition, (2018), pp. 5265–5274. https://doi.org/10.1109/CVPR.2018.00552. ID - ref61 ER - TY - STD TI - A. Roy Chowdhury, T. Lin, S. Maji, E. G. Learned-Miller, Face identification with bilinear CNNs. CoRR. abs/1506.01342: (2015). http://arxiv.org/abs/1506.01342. ID - ref62 ER - TY - STD TI - J. Chen, R. Ranjan, A. Kumar, C. Chen, V. M. Patel, R. Chellappa, in 2015 IEEE International Conference on Computer Vision Workshop (ICCVW). An end-to-end system for unconstrained face verification with deep convolutional neural networks, (2015), pp. 360–368. https://doi.org/10.1109/ICCVW.2015.55. ID - ref63 ER - TY - STD TI - High quality face recognition with deep metric learning. http://blog.dlib.net/2017/02/high-quality-face-recognition-with-deep.html. Accessed 20 May 2019. UR - http://blog.dlib.net/2017/02/high-quality-face-recognition-with-deep.html ID - ref64 ER - TY - STD TI - B. Amos, B. Ludwiczuk, M. Satyanarayanan. Openface: a general-purpose face recognition library with mobile applications, CMU-CS-16-118, CMU School of Computer Science, (2016). ID - ref65 ER - TY - STD TI - Face recognition using TensorFlow. https://github.com/davidsandberg/facenet. Accessed 20 May 2019. UR - https://github.com/davidsandberg/facenet ID - ref66 ER - TY - STD TI - I. Kemelmacher-Shlizerman, S. M. Seitz, D. Miller, E. Brossard, in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). The megaface benchmark: 1 million faces for recognition at scale, (2016), pp. 4873–4882. https://doi.org/10.1109/CVPR.2016.527. ID - ref67 ER - TY - JOUR AU - LeCun, Y. AU - Bengio, Y. AU - Hinton, G. PY - 2015 DA - 2015// TI - Deep learning JO - Nature VL - 521 ID - LeCun2015 ER - TY - STD TI - M. Lin, Q. Chen, S. Yan, Network in network. CoRR. abs/1312.4400: (2013). ID - ref69 ER - TY - STD TI - K. He, X. Zhang, S. Ren, J. Sun, in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Deep residual learning for image recognition, (2016), pp. 770–778. https://doi.org/10.1109/CVPR.2016.90. ID - ref70 ER - TY - STD TI - C. Szegedy, S. Ioffe, V. Vanhoucke, A. A. Alemi, in Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, AAAI’17. Inception-v4, inception-resnet and the impact of residual connections on learning (AAAI Press, 2017), pp. 4278–4284. http://dl.acm.org/citation.cfm?id=3298023.3298188. UR - http://dl.acm.org/citation.cfm?id=3298023.3298188 ID - ref71 ER - TY - CHAP AU - Song, F. AU - Dongarra, J. PY - 2014 DA - 2014// TI - Scaling up matrix computations on shared-memory manycore systems with 1000 CPU cores BT - Proceedings of the 28th ACM International Conference on Supercomputing, ICS ’14 PB - ACM CY - New York, NY, USA ID - Song2014 ER - TY - STD TI - S. Ioffe, C. Szegedy, in Proceedings of the 32Nd International Conference on International Conference on Machine Learning - Volume 37, ICML’15. Batch normalization: accelerating deep network training by reducing internal covariate shift (JMLR.org, 2015), pp. 448–456. http://dl.acm.org/citation.cfm?id=3045118.3045167. UR - http://dl.acm.org/citation.cfm?id=3045118.3045167 ID - ref73 ER - TY - STD TI - C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, Z. Wojna, in 2016 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Rethinking the inception architecture for computer vision, (2016). https://doi.org/10.1109/CVPR.2016.308. ID - ref74 ER - TY - STD TI - T. Lin, A. RoyChowdhury, S. Maji, in 2015 IEEE International Conference on Computer Vision (ICCV). Bilinear CNN models for fine-grained visual recognition, (2015), pp. 1449–1457. https://doi.org/10.1109/ICCV.2015.170. ID - ref75 ER - TY - STD TI - A. Canziani, A. Paszke, E. Culurciello, An analysis of deep neural network models for practical applications. CoRR. abs/1605.07678: (2016). http://arxiv.org/abs/1605.07678. ID - ref76 ER - TY - STD TI - S. Bianco, R. Cadène, L. Celona, P. Napoletano, Benchmark analysis of representative deep neural network architectures. CoRR. abs/1810.00736: (2018). http://arxiv.org/abs/1810.00736. ID - ref77 ER - TY - STD TI - Q. Cao, L. Shen, W. Xie, O. M. Parkhi, A. Zisserman, in International Conference on Automatic Face and Gesture Recognition. Vggface2: a dataset for recognising faces across pose and age, (2018). https://doi.org/10.1109/fg.2018.00020. ID - ref78 ER - TY - CHAP AU - Wen, Y. AU - Zhang, K. AU - Li, Z. AU - Qiao, Y. ED - Leibe, B. ED - Matas, J. ED - Sebe, N. ED - Welling, M. PY - 2016 DA - 2016// TI - A discriminative feature learning approach for deep face recognition BT - Computer vision – ECCV 2016 PB - Springer CY - Cham ID - Wen2016 ER - TY - STD TI - J. Deng, Y. Zhou, S. Zafeiriou, in 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Marginal loss for deep face recognition, (2017), pp. 2006–2014. https://doi.org/10.1109/CVPRW.2017.251. ID - ref80 ER - TY - STD TI - X. Zhang, Z. Fang, Y. Wen, Z. Li, Y. Qiao, in 2017 IEEE International Conference on Computer Vision (ICCV). Range loss for deep face recognition with long-tailed training data, (2017), pp. 5419–5428. https://doi.org/10.1109/ICCV.2017.578. ID - ref81 ER - TY - STD TI - W. Liu, Y. Wen, Z. Yu, M. Yang, in Proceedings of the 33rd International Conference on International Conference on Machine Learning - Volume 48, ICML’16. Large-margin softmax loss for convolutional neural networks (JMLR.org, 2016), pp. 507–516. http://dl.acm.org/citation.cfm?id=3045390.3045445. UR - http://dl.acm.org/citation.cfm?id=3045390.3045445 ID - ref82 ER - TY - JOUR AU - Wang, F. AU - Cheng, J. AU - Liu, W. AU - Liu, H. PY - 2018 DA - 2018// TI - Additive margin softmax for face verification JO - IEEE Signal Process. Lett. VL - 25 ID - Wang2018 ER - TY - STD TI - B. Chen, W. Deng, J. Du, in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Noisy softmax: improving the generalization ability of dcnn via postponing the early softmax saturation, (2017). https://doi.org/10.1109/CVPR.2017.428. ID - ref84 ER - TY - STD TI - W. Wan, Y. Zhong, T. Li, J. Chen, Rethinking feature distribution for loss functions in image classification. CoRR. abs/1803.02988: (2018). http://arxiv.org/abs/1803.02988. ID - ref85 ER - TY - STD TI - X. Qi, L. Zhang, Face recognition via centralized coordinate learning. CoRR. abs/1801.05678: (2018). http://arxiv.org/abs/1801.05678. ID - ref86 ER - TY - STD TI - Y. Sun, X. Wang, X. Tang, in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Sparsifying neural network connections for face recognition, (2016), pp. 4856–4864. https://doi.org/10.1109/CVPR.2016.525. ID - ref87 ER - TY - STD TI - D. Yi, Z. Lei, S. Liao, S. Z. Li, Learning face representation from scratch. CoRR. abs/1411.7923: (2014). http://arxiv.org/abs/1411.7923. ID - ref88 ER - TY - CHAP AU - Bromley, J. AU - Guyon, I. AU - LeCun, Y. AU - Säckinger, E. AU - Shah, R. PY - 1993 DA - 1993// TI - Signature verification using a "siamese" time delay neural network BT - Proceedings of the 6th International Conference on Neural Information Processing Systems, NIPS’93 PB - Morgan Kaufmann Publishers Inc. CY - San Francisco, CA, USA ID - Bromley1993 ER - TY - STD TI - R. Hadsell, S. Chopra, Y. LeCun, in 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’06), 2. Dimensionality reduction by learning an invariant mapping, (2006), pp. 1735–1742. https://doi.org/10.1109/CVPR.2006.100. ID - ref90 ER - TY - STD TI - A. S. Razavian, H. Azizpour, J. Sullivan, S. Carlsson, in 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops. CNN features off-the-shelf: an astounding baseline for recognition, (2014), pp. 512–519. https://doi.org/10.1109/CVPRW.2014.131. ID - ref91 ER - TY - JOUR AU - Pan, S. J. AU - Yang, Q. PY - 2010 DA - 2010// TI - A survey on transfer learning JO - IEEE Trans. Knowl. Data Eng. VL - 22 ID - Pan2010 ER - TY - STD TI - K. Kim, Z. Yang, I. Masi, R. Nevatia, G. Medioni, in 2018 IEEE Winter Conference on Applications of Computer Vision (WACV). Face and body association for video-based face recognition, (2018), pp. 39–48. https://doi.org/10.1109/WACV.2018.00011. ID - ref93 ER - TY - CHAP AU - Li, H. AU - Hua, G. AU - Shen, X. AU - Lin, Z. AU - Brandt, J. ED - Cremers, D. ED - Reid, I. ED - Saito, H. ED - Yang, M. -. H. PY - 2015 DA - 2015// TI - Eigen-pep for video face recognition BT - Computer vision – ACCV 2014 PB - Springer CY - Cham ID - Li2015 ER - TY - STD TI - Z. Liu, H. Hu, J. Bai, S. Li, S. Lian, in The IEEE International Conference on Computer Vision (ICCV) Workshops. Feature aggregation network for video face recognition, (2019). https://doi.org/10.1109/iccvw.2019.00128. ID - ref95 ER - TY - STD TI - L. Wolf, T. Hassner, I. Maoz, in 2011 IEEE Conference on Computer Vision and Pattern Recognition. Face recognition in unconstrained videos with matched background similarity, (2011), pp. 529–534. https://doi.org/10.1109/CVPR.2011.5995566. ID - ref96 ER - TY - JOUR AU - Chen, B. AU - Chen, C. AU - Hsu, W. H. PY - 2015 DA - 2015// TI - Face recognition and retrieval using cross-age reference coding with cross-age celebrity dataset JO - IEEE Trans. Multimed. VL - 17 ID - Chen2015 ER - TY - CHAP AU - Chen, B. -. C. AU - Chen, C. -. S. AU - Hsu, W. H. ED - Fleet, D. ED - Pajdla, T. ED - Schiele, B. ED - Tuytelaars, T. PY - 2014 DA - 2014// TI - Cross-age reference coding for age-invariant face recognition and retrieval BT - Computer vision – ECCV 2014 PB - Springer CY - Cham ID - Chen2014 ER - TY - STD TI - T. Zheng, W. Deng, J. Hu, in 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Age estimation guided convolutional neural network for age-invariant face recognition, (2017), pp. 503–511. https://doi.org/10.1109/cvprw.2017.77. ID - ref99 ER - TY - STD TI - K. Ricanek, T. Tesafaye, in 7th International Conference on Automatic Face and Gesture Recognition (FGR06). Morph: a longitudinal image database of normal adult age-progression, (2006), pp. 341–345. https://doi.org/10.1109/FGR.2006.78. ID - ref100 ER - TY - STD TI - T. Zheng, W. Deng, Cross-pose LFW: a database for studying cross-pose face recognition in unconstrained environments. Technical Report 18-01 (Beijing University of Posts and Telecommunications, 2018). ID - ref101 ER - TY - STD TI - V. Kushwaha, M. Singh, R. Singh, M. Vatsa, N. Ratha, R. Chellappa, in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Disguised faces in the wild, (2018), pp. 1–18. https://doi.org/10.1109/CVPRW.2018.00008. ID - ref102 ER - TY - STD TI - Y. Taigman, M. Yang, M. Ranzato, L. Wolf, Web-scale training for face identification. CoRR. abs/1406.5266: (2014). http://arxiv.org/abs/1406.5266. ID - ref103 ER - TY - BOOK PY - 2011 DA - 2011// TI - Evaluation methods in face recognition PB - Springer CY - London ID - ref104 ER - TY - STD TI - P. Viola, M. Jones, in Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, vol. 1. Rapid object detection using a boosted cascade of simple features, (2001). https://doi.org/10.1109/CVPR.2001.990517. ID - ref105 ER - TY - JOUR AU - Sun, Y. AU - Wang, X. AU - Tang, X. PY - 2016 DA - 2016// TI - Hybrid deep learning for face verification JO - IEEE Trans. Pattern Anal. Mach. Intell. VL - 38 ID - Sun2016 ER - TY - STD TI - Y. Guo, L. Zhang, Y. Hu, X. He, J. Gao, in European Conference on Computer Vision, vol. 9907. Ms-celeb-1m: a dataset and benchmark for large-scale face recognition, (2016), pp. 87–102. https://doi.org/10.1007/978-3-319-46487-9_6. ID - ref107 ER - TY - STD TI - H. Ng, S. Winkler, in 2014 IEEE International Conference on Image Processing (ICIP). A data-driven approach to cleaning large face datasets, (2014), pp. 343–347. https://doi.org/10.1109/ICIP.2014.7025068. ID - ref108 ER - TY - STD TI - G. Panis, A. Lanitis, An Overview of Research Activities in Facial Age Estimation Using the FG-NET Aging Database. 8926:, 737–750 (2015). https://doi.org/10.1007/978-3-319-16181-5_56. ID - ref109 ER - TY - STD TI - I. Kemelmacher-Shlizerman, S. Suwajanakorn, S. M. Seitz, in 2014 IEEE Conference on Computer Vision and Pattern Recognition. Illumination-aware age progression, (2014), pp. 3334–3341. https://doi.org/10.1109/CVPR.2014.426. ID - ref110 ER - TY - STD TI - B. Thomee, D. A. Shamma, G. Friedland, B. Elizalde, K. Ni, D. Poland, D. Borth, L. Li, The new data and new challenges in multimedia research. CoRR. abs/1503.01817: (2015). http://arxiv.org/abs/1503.01817. ID - ref111 ER - TY - STD TI - F. H. d.B. Zavan, N. Gasparin, J. C. Batista, L. P. e.Silva, V. Albiero, O. R. P. Bellon, L. Silva, in 2017 30th SIBGRAPI Conference on Graphics, Patterns and Images Tutorials (SIBGRAPI-T). Face analysis in the wild, (2017), pp. 9–16. https://doi.org/10.1109/SIBGRAPI-T.2017.11. ID - ref112 ER - TY - JOUR AU - Wu, Y. AU - Ji, Q. PY - 2019 DA - 2019// TI - Facial landmark detection: a literature survey JO - Int. J. Comput. Vis. VL - 127 ID - Wu2019 ER - TY - JOUR AU - Wu, Y. AU - Hassner, T. AU - Kim, K. AU - Medioni, G. AU - Natarajan, P. PY - 2018 DA - 2018// TI - Facial landmark detection with tweaked convolutional neural networks JO - IEEE Trans. Pattern Anal. Mach. Intell. VL - 40 ID - Wu2018 ER - TY - JOUR AU - Zhang, K. AU - Zhang, Z. AU - Li, Z. AU - Qiao, Y. PY - 2016 DA - 2016// TI - Joint face detection and alignment using multitask cascaded convolutional networks JO - IEEE Signal Process. Lett. VL - 23 ID - Zhang2016 ER - TY - STD TI - N. Dalal, B. Triggs, in 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), vol. 1. Histograms of oriented gradients for human detection, (2005), pp. 886–8931. https://doi.org/10.1109/CVPR.2005.177. ID - ref116 ER - TY - JOUR AU - Çeliktutan, O. AU - Ulukaya, S. AU - Sankur, B. PY - 2013 DA - 2013// TI - A comparative study of face landmarking techniques JO - EURASIP J. Image Video Process. VL - 2013 ID - Çeliktutan2013 ER - TY - JOUR AU - Johnston, B. AU - Chazal, P. d. PY - 2018 DA - 2018// TI - A review of image-based automatic facial landmark identification techniques JO - EURASIP J. Image Video Process. VL - 2018 ID - Johnston2018 ER - TY - STD TI - X. Lin, Y. Liang, J. Wan, C. Lin, S. Z. Li, Trans. Multimed. IEEE, Region-based context enhanced network for robust multiple face alignment, 1–1 (2019). https://doi.org/10.1109/TMM.2019.2916455. ID - ref119 ER - TY - JOUR AU - Weng, R. AU - Lu, J. AU - Tan, Y. AU - Zhou, J. PY - 2016 DA - 2016// TI - Learning cascaded deep auto-encoder networks for face alignment JO - IEEE Trans. Multimed. VL - 18 ID - Weng2016 ER - TY - STD TI - W. AbdAlmageed, Y. Wu, S. Rawls, S. Harel, T. Hassner, I. Masi, J. Choi, J. Lekust, J. Kim, P. Natarajan, R. Nevatia, G. Medioni, in 2016 IEEE Winter Conference on Applications of Computer Vision (WACV). Face recognition using deep multi-pose representations, (2016), pp. 1–9. https://doi.org/10.1109/WACV.2016.7477555. ID - ref121 ER - TY - STD TI - A. Bulat, G. Tzimiropoulos, How far are we from solving the 2D & 3D face alignment problem? (and a dataset of 230,000 3D facial landmarks). CoRR. abs/1703.07332: (2017). http://arxiv.org/abs/1703.07332. ID - ref122 ER - TY - STD TI - F. Chang, A. T. Tran, T. Hassner, I. Masi, R. Nevatia, G. G. Medioni, Faceposenet: making a case for landmark-free face alignment. CoRR. abs/1708.07517: (2017). http://arxiv.org/abs/1708.07517. ID - ref123 ER - TY - STD TI - X. Zhu, Z. Lei, X. Liu, H. Shi, S. Z. Li, in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Face alignment across large poses: a 3D solution, (2016), pp. 146–155. https://doi.org/10.1109/cvpr.2016.23. ID - ref124 ER - TY - STD TI - L. Wolf, T. Hassner, I. Maoz, in 2011 IEEE Conference on Computer Vision and Pattern Recognition. Face recognition in unconstrained videos with matched background similarity, (2011), pp. 529–534. https://doi.org/10.1109/CVPR.2011.5995566. ID - ref125 ER - TY - STD TI - A. Vedaldi, K. Lenc, in Proceeding of the ACM Int. Conf. on Multimedia. Matconvnet – convolutional neural networks for matlab, (2015). https://doi.org/10.1145/2733373.2807412. ID - ref126 ER - TY - STD TI - X. Cao, D. Wipf, F. Wen, G. Duan, J. Sun, in 2013 IEEE International Conference on Computer Vision. A practical transfer learning algorithm for face verification, (2013), pp. 3208–3215. https://doi.org/10.1109/ICCV.2013.398. ID - ref127 ER - TY - STD TI - D. Chen, X. Cao, L. Wang, F. Wen, J. Sun, in ECCV 2012. Bayesian face revisited: a joint formulation, (2012). https://www.microsoft.com/en-us/research/publication/bayesian-face-revisited-a-joint-formulation/. UR - https://www.microsoft.com/en-us/research/publication/bayesian-face-revisited-a-joint-formulation/ ID - ref128 ER - TY - CHAP AU - Chen, D. AU - Cao, X. AU - Wang, L. AU - Wen, F. AU - Sun, J. ED - Fitzgibbon, A. ED - Lazebnik, S. ED - Perona, P. ED - Sato, Y. ED - Schmid, C. PY - 2012 DA - 2012// TI - Bayesian face revisited: a joint formulation BT - Computer vision – ECCV 2012 PB - Springer CY - Berlin, Heidelberg ID - Chen2012 ER - TY - STD TI - Z. Huang, S. Shan, R. Wang, H. Zhang, S. Lao, A. Kuerban, X. Chen, A benchmark and comparative study of video-based face recognition on cox face database. IEEE Trans. Image Process. Publ. IEEE Signal Process. Soc.24: (2015). https://doi.org/10.1109/TIP.2015.2493448. ID - ref130 ER - TY - JOUR AU - Chen, J. AU - Takiguchi, T. AU - Ariki, Y. PY - 2015 DA - 2015// TI - A robust SVM classification framework using PSM for multi-class recognition JO - EURASIP J. Image Video Process. VL - 2015 ID - Chen2015 ER - TY - JOUR AU - Vapnik, V. AU - Izmailov, R. PY - 2017 DA - 2017// TI - Knowledge transfer in SVM and neural networks JO - Ann. Math. Artif. Intell. VL - 81 ID - Vapnik2017 ER - TY - JOUR AU - Wei, P. AU - Zhou, Z. AU - Li, L. AU - Jiang, J. PY - 2018 DA - 2018// TI - Research on face feature extraction based on k-mean algorithm JO - EURASIP J. Image Video Process. VL - 2018 ID - Wei2018 ER - TY - STD TI - J. Huang, V. Rathod, C. Sun, M. Zhu, A. Korattikara, A. Fathi, I. Fischer, Z. Wojna, Y. Song, S. Guadarrama, K. Murphy, Speed/accuracy trade-offs for modern convolutional object detectors. CoRR. abs/1611.10012: (2016). http://arxiv.org/abs/1611.10012. ID - ref134 ER - TY - STD TI - S. W. Arachchilage, E. Izquierdo, in 2019 IEEE Visual Communications and Image Processing (VCIP). A framework for real-time face-recognition, (2019), pp. 1–4. https://doi.org/10.1109/VCIP47243.2019.8965805. ID - ref135 ER - TY - STD TI - W. Jiang, W. Wang, in 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Face detection and recognition for home service robots with end-to-end deep neural networks, (2017), pp. 2232–2236. https://doi.org/10.1109/ICASSP.2017.7952553. ID - ref136 ER - TY - JOUR AU - Ding, C. AU - Tao, D. PY - 2015 DA - 2015// TI - Robust face recognition via multimodal deep face representation JO - IEEE Trans. Multimed. VL - 17 ID - Ding2015 ER - TY - STD TI - Z. Cui, S. Shan, X. Chen, L. Zhang, in Face and Gesture 2011. Sparsely encoded local descriptor for face recognition, (2011), pp. 149–154. https://doi.org/10.1109/FG.2011.5771389. ID - ref138 ER - TY - JOUR AU - Ding, C. AU - Choi, J. AU - Tao, D. AU - Davis, L. S. PY - 2016 DA - 2016// TI - Multi-directional multi-level dual-cross patterns for robust face recognition JO - IEEE Trans. Pattern Anal. Mach. Intell. VL - 38 ID - Ding2016 ER - TY - STD TI - Z. Cao, Q. Yin, X. Tang, J. Sun, in 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Face recognition with learning-based descriptor, (2010), pp. 2707–2714. https://doi.org/10.1109/CVPR.2010.5539992. ID - ref140 ER - TY - STD TI - Z. Cui, W. Li, D. Xu, S. Shan, X. Chen, in 2013 IEEE Conference on Computer Vision and Pattern Recognition. Fusing robust face region descriptors via multiple metric learning for face recognition in the wild, (2013), pp. 3554–3561. https://doi.org/10.1109/CVPR.2013.456. ID - ref141 ER - TY - JOUR AU - Afaneh, A. AU - Noroozi, F. AU - Toygar, Ö. PY - 2017 DA - 2017// TI - Recognition of identical twins using fusion of various facial feature extractors JO - EURASIP J. Image Video Process. VL - 2017 ID - Afaneh2017 ER - TY - STD TI - B. Wu, S. Lyu, B. Hu, Q. Ji, in 2013 IEEE International Conference on Computer Vision. Simultaneous clustering and tracklet linking for multi-face tracking in videos, (2013), pp. 2856–2863. https://doi.org/10.1109/ICCV.2013.355. ID - ref143 ER - TY - STD TI - S. Zhang, J. Huang, J. Lim, Y. Gong, J. Wang, N. Ahuja, M. Yang, Tracking persons-of-interest via unsupervised representation adaptation. CoRR. abs/1710.02139: (2017). http://arxiv.org/abs/1710.02139. ID - ref144 ER - TY - STD TI - M. Roth, M. Bäuml, R. Nevatia, R. Stiefelhagen, in Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012). Robust multi-pose face tracking by multi-stage tracklet association, (2012), pp. 1012–1016. ID - ref145 ER - TY - STD TI - B. Wu, Y. Zhang, B. Hu, Q. Ji, in 2013 IEEE Conference on Computer Vision and Pattern Recognition. Constrained clustering and its application to face clustering in videos, (2013), pp. 3507–3514. https://doi.org/10.1109/CVPR.2013.450. ID - ref146 ER - TY - JOUR AU - Yan, C. AU - Li, L. AU - Zhang, C. AU - Liu, B. AU - Zhang, Y. AU - Dai, Q. PY - 2019 DA - 2019// TI - Cross-modality bridging and knowledge transferring for image understanding JO - IEEE Trans. Multimed. VL - 21 ID - Yan2019 ER - TY - JOUR AU - Yan, C. AU - Xie, H. AU - Chen, J. AU - Zha, Z. AU - Hao, X. AU - Zhang, Y. AU - Dai, Q. PY - 2018 DA - 2018// TI - A fast uyghur text detector for complex background images JO - IEEE Trans. Multimed. VL - 20 ID - Yan2018 ER - TY - JOUR AU - Navid Hajimirza, S. AU - Proulx, M. AU - Izquierdo, E. PY - 2012 DA - 2012// TI - Reading users’ minds from their eyes: a method for implicit image annotation JO - Multimed. IEEE Trans. VL - 14 ID - Navid Hajimirza2012 ER - TY - STD TI - C. Yan, Y. Tu, X. Wang, Y. Zhang, X. Hao, Y. Zhang, Q. Dai, Stat: spatial-temporal attention mechanism for video captioning. Trans. Multimed. IEEE, 1–1 (2019). https://doi.org/10.1109/TMM.2019.2924576. ID - ref150 ER - TY - JOUR AU - Wang, X. AU - Ruan, Q. AU - Jin, Y. AU - An, G. PY - 2014 DA - 2014// TI - Three-dimensional face recognition under expression variation JO - EURASIP J. Image Video Process. VL - 2014 ID - Wang2014 ER - TY - JOUR AU - Yang, L. AU - Ma, J. AU - Lian, J. AU - Zhang, Y. AU - Liu, H. PY - 2018 DA - 2018// TI - Deep representation for partially occluded face verification JO - EURASIP J. Image Video Process. VL - 2018 ID - Yang2018 ER - TY - JOUR AU - Izquierdo, E. AU - Ghanbari, M. PY - 2002 DA - 2002// TI - Key components for an advanced segmentation system JO - IEEE Trans. Multimed. VL - 4 ID - Izquierdo2002 ER - TY - JOUR AU - Jiang, H. AU - Zhang, G. AU - Wang, H. AU - Bao, H. PY - 2015 DA - 2015// TI - Spatio-temporal video segmentation of static scenes and its applications JO - IEEE Trans. Multimed. VL - 17 ID - Jiang2015 ER - TY - JOUR AU - Sun, X. AU - Foote, J. AU - Kimber, D. AU - Manjunath, B. S. PY - 2005 DA - 2005// TI - Region of interest extraction and virtual camera control based on panoramic video capturing JO - IEEE Trans. Multimed. VL - 7 ID - Sun2005 ER - TY - JOUR AU - Dong, L. AU - He, L. AU - Mao, M. AU - Kong, G. AU - Wu, X. AU - Zhang, Q. AU - Cao, X. AU - Izquierdo, E. PY - 2018 DA - 2018// TI - Cunet: a compact unsupervised network for image classification JO - IEEE Trans. Multimed. VL - 20 ID - Dong2018 ER - TY - JOUR AU - Bruna, J. AU - Mallat, S. PY - 2013 DA - 2013// TI - Invariant scattering convolution networks JO - IEEE Trans. Pattern Anal. Mach. Intell. VL - 35 ID - Bruna2013 ER - TY - CHAP AU - Hankins, R. AU - Peng, Y. AU - Yin, H. ED - Yin, H. ED - Camacho, D. ED - Novais, P. ED - Tallón-Ballesteros, A. J. PY - 2018 DA - 2018// TI - Towards complex features: competitive receptive fields in unsupervised deep networks BT - Intelligent Data Engineering and Automated Learning – IDEAL 2018 PB - Springer CY - Cham ID - Hankins2018 ER -