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[1] Anil K. Jain,et al. Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Anil K. Jain,et al. Face Search at Scale: 80 Million Gallery , 2015, ArXiv.
[3] Josef Kittler,et al. A Unified Framework for Biometric Expert Fusion Incorporating Quality Measures , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Patrick J. Grother,et al. Face Recognition Vendor Test (FRVT) Performance of Face Identification Algorithms NIST IR 8009 , 2014 .
[5] B. Martin,et al. Quality Assessment of Facial Images , 2006, 2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference.
[6] Elham Tabassi,et al. Performance of Biometric Quality Measures , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Samarth Bharadwaj,et al. Can holistic representations be used for face biometric quality assessment? , 2013, 2013 IEEE International Conference on Image Processing.
[8] Yiying Tong,et al. Adaptive 3D Face Reconstruction from Unconstrained Photo Collections , 2016, CVPR.
[9] Andy Adler,et al. Human Vs. Automatic Measurement of Biometric Sample Quality , 2006, 2006 Canadian Conference on Electrical and Computer Engineering.
[10] Arun Ross,et al. Design and evaluation of photometric image quality measures for effective face recognition , 2014, IET Biom..
[11] Bruce A. Draper,et al. Factors that influence algorithm performance in the Face Recognition Grand Challenge , 2009, Comput. Vis. Image Underst..
[12] Bruce A. Draper,et al. The Good, the Bad, and the Ugly Face Challenge Problem , 2012, Image and Vision Computing.
[13] Anil K. Jain,et al. A Comparison of Human and Automated Face Verification Accuracy on Unconstrained Image Sets , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[14] Shengcai Liao,et al. Learning Face Representation from Scratch , 2014, ArXiv.
[15] Jinfeng Yi,et al. Inferring Users' Preferences from Crowdsourced Pairwise Comparisons: A Matrix Completion Approach , 2013, HCOMP.
[16] Shengcai Liao,et al. A benchmark study of large-scale unconstrained face recognition , 2014, IEEE International Joint Conference on Biometrics.
[17] Yong Man Ro,et al. Face image assessment learned with objective and relative face image qualities for improved face recognition , 2015, 2015 IEEE International Conference on Image Processing (ICIP).
[18] Abhishek Dutta,et al. A Bayesian model for predicting face recognition performance using image quality , 2014, IEEE International Joint Conference on Biometrics.
[19] Yongkang Wong,et al. Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition , 2011, CVPR 2011 WORKSHOPS.
[20] Anil K. Jain,et al. Unconstrained Face Recognition: Identifying a Person of Interest From a Media Collection , 2014, IEEE Transactions on Information Forensics and Security.
[21] Julian Fiérrez,et al. Quality Measures in Biometric Systems , 2012, IEEE Security & Privacy.
[22] Charles L. Wilson,et al. A novel approach to fingerprint image quality , 2005, IEEE International Conference on Image Processing 2005.
[23] Sabah Jassim,et al. Image-Quality-Based Adaptive Face Recognition , 2010, IEEE Transactions on Instrumentation and Measurement.
[24] Xiaoming Liu,et al. Disentangled Representation Learning GAN for Pose-Invariant Face Recognition , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Bruce A. Draper,et al. FRVT 2006: Quo Vadis face quality , 2010, Image Vis. Comput..
[26] Samarth Bharadwaj,et al. Biometric quality: a review of fingerprint, iris, and face , 2014, EURASIP Journal on Image and Video Processing.
[27] Rama Chellappa,et al. Unconstrained face verification using deep CNN features , 2015, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).
[28] Anil K. Jain,et al. Face Recognition Performance: Role of Demographic Information , 2012, IEEE Transactions on Information Forensics and Security.
[29] Kristen Grauman,et al. Relative attributes , 2011, 2011 International Conference on Computer Vision.
[30] Bruce A. Draper,et al. On the existence of face quality measures , 2013, 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS).
[31] George W. Quinn,et al. Report on the Evaluation of 2D Still-Image Face Recognition Algorithms , 2011 .
[32] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[33] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[34] Takeo Kanade,et al. Multi-PIE , 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.
[35] Yu Deng,et al. Face Image Quality Assessment Based on Learning to Rank , 2015, IEEE Signal Processing Letters.
[36] Jian Sun,et al. Blessing of Dimensionality: High-Dimensional Feature and Its Efficient Compression for Face Verification , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[37] Patrick J. Flynn,et al. Predicting performance of face recognition systems: An image characterization approach , 2011, CVPR 2011 WORKSHOPS.
[38] Marwan Mattar,et al. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments , 2008 .
[39] Patrick J. Flynn,et al. Overview of the face recognition grand challenge , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).