Adaptive convolution local and global learning for class-level joint representation of face recognition with single sample per person
暂无分享,去创建一个
[1] Ming Yang,et al. DeepFace: Closing the Gap to Human-Level Performance in Face Verification , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[2] Marwan Mattar,et al. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments , 2008 .
[3] Lei Zhang,et al. Local Generic Representation for Face Recognition with Single Sample per Person , 2014, ACCV.
[4] Gang Wang,et al. Discriminative Multimanifold Analysis for Face Recognition from a Single Training Sample per Person , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] Jun Guo,et al. Extended SRC: Undersampled Face Recognition via Intraclass Variant Dictionary , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Hossein Mobahi,et al. Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Tal Hassner,et al. Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Allen Y. Yang,et al. Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[9] Martial Hebert,et al. Learning to Learn: Model Regression Networks for Easy Small Sample Learning , 2016, ECCV.
[10] Takeo Kanade,et al. Multi-PIE , 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.
[11] Kun Shang,et al. A Customized Sparse Representation Model With Mixed Norm for Undersampled Face Recognition , 2016, IEEE Transactions on Information Forensics and Security.
[12] Jiwen Lu,et al. Single Sample Face Recognition via Learning Deep Supervised Autoencoders , 2015, IEEE Transactions on Information Forensics and Security.
[13] Shengcai Liao,et al. Learning Face Representation from Scratch , 2014, ArXiv.
[14] Allen Y. Yang,et al. Robust Face Recognition via Sparse Representation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[15] David J. Kriegman,et al. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.
[16] Azriel Rosenfeld,et al. Face recognition: A literature survey , 2003, CSUR.
[17] Shenghua Gao,et al. Neither Global Nor Local: Regularized Patch-Based Representation for Single Sample Per Person Face Recognition , 2014, International Journal of Computer Vision.
[18] Lei Zhang,et al. Sparse Variation Dictionary Learning for Face Recognition with a Single Training Sample per Person , 2013, 2013 IEEE International Conference on Computer Vision.
[19] Yu-Chiang Frank Wang,et al. Undersampled Face Recognition via Robust Auxiliary Dictionary Learning , 2015, IEEE Transactions on Image Processing.
[20] Jian Sun,et al. Bayesian Face Revisited: A Joint Formulation , 2012, ECCV.
[21] Xiaogang Wang,et al. Deep Learning Face Representation by Joint Identification-Verification , 2014, NIPS.
[22] Zhi-Hua Zhou,et al. Face recognition from a single image per person: A survey , 2006, Pattern Recognit..
[23] Yu Qiao,et al. A Discriminative Feature Learning Approach for Deep Face Recognition , 2016, ECCV.
[24] Xiaogang Wang,et al. Deep Learning Face Representation from Predicting 10,000 Classes , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.