On Measuring the Iconicity of a Face
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[1] Alan C. Bovik,et al. No-Reference Image Quality Assessment in the Spatial Domain , 2012, IEEE Transactions on Image Processing.
[2] Joost van de Weijer,et al. RankIQA: Learning from Rankings for No-Reference Image Quality Assessment , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[3] Tamara L. Berg,et al. Automatic Ranking of Iconic Images , 2007 .
[4] Sepp Hochreiter,et al. Self-Normalizing Neural Networks , 2017, NIPS.
[5] Thirimachos Bourlai,et al. Quality metrics for practical face recognition , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).
[6] Anil K. Jain,et al. Automatic Face Image Quality Prediction , 2017, ArXiv.
[7] Carlos D. Castillo,et al. Triplet probabilistic embedding for face verification and clustering , 2016, 2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS).
[8] Carlos D. Castillo,et al. UMDFaces: An annotated face dataset for training deep networks , 2016, 2017 IEEE International Joint Conference on Biometrics (IJCB).
[9] Shengcai Liao,et al. Learning Face Representation from Scratch , 2014, ArXiv.
[10] Shuo Yang,et al. WIDER FACE: A Face Detection Benchmark , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Anil K. Jain,et al. IARPA Janus Benchmark - C: Face Dataset and Protocol , 2018, 2018 International Conference on Biometrics (ICB).
[12] Carlos D. Castillo,et al. L2-constrained Softmax Loss for Discriminative Face Verification , 2017, ArXiv.
[13] Carlos D. Castillo,et al. An All-In-One Convolutional Neural Network for Face Analysis , 2016, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).
[14] James Philbin,et al. FaceNet: A unified embedding for face recognition and clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Xing Ji,et al. CosFace: Large Margin Cosine Loss for Deep Face Recognition , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[16] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[17] P. Jonathon Phillips,et al. An introduction to biometric-completeness: The equivalence of matching and quality , 2009, 2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems.
[18] Andrew Zisserman,et al. Deep Face Recognition , 2015, BMVC.
[19] Yi Li,et al. Convolutional Neural Networks for No-Reference Image Quality Assessment , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[20] Connor J. Parde,et al. Face and Image Representation in Deep CNN Features , 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).
[21] Yuxiao Hu,et al. MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition , 2016, ECCV.
[22] Sabah Jassim,et al. Image-Quality-Based Adaptive Face Recognition , 2010, IEEE Transactions on Instrumentation and Measurement.
[23] Carlos D. Castillo,et al. Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition , 2018, ArXiv.
[24] Yu Deng,et al. Face Image Quality Assessment Based on Learning to Rank , 2015, IEEE Signal Processing Letters.
[25] Alexander C. Berg,et al. Finding iconic images , 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[26] Jian Cheng,et al. NormFace: L2 Hypersphere Embedding for Face Verification , 2017, ACM Multimedia.