Discovering Identity Specific Activation Patterns in Deep Descriptors for Template Based Face Recognition
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[1] Alberto Del Bimbo,et al. Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification , 2018, 2018 24th International Conference on Pattern Recognition (ICPR).
[2] Razvan Pascanu,et al. A simple neural network module for relational reasoning , 2017, NIPS.
[3] Fang Zhao,et al. Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis , 2017, NIPS.
[4] Lei Zhang,et al. One-Shot Face Recognition via Generative Learning , 2018, 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018).
[5] Bhiksha Raj,et al. SphereFace: Deep Hypersphere Embedding for Face Recognition , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[7] Dongqing Zhang,et al. Neural Aggregation Network for Video Face Recognition , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Jiwen Lu,et al. Discriminative Deep Metric Learning for Face Verification in the Wild , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[9] 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.
[10] Andrew Zisserman,et al. Deep Face Recognition , 2015, BMVC.
[11] Jongmoo Choi,et al. Pooling Faces: Template Based Face Recognition with Pooled Face Images , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[12] Yu Qiao,et al. A Discriminative Feature Learning Approach for Deep Face Recognition , 2016, ECCV.
[13] Tao Xiang,et al. Learning to Compare: Relation Network for Few-Shot Learning , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[14] 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).
[15] Qiong Cao,et al. Template Adaptation for Face Verification and Identification , 2016, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).
[16] Stefano Berretti,et al. Investigating Nuisances in DCNN-Based Face Recognition , 2018, IEEE Transactions on Image Processing.
[17] Xiaogang Wang,et al. Deep Learning Face Representation from Predicting 10,000 Classes , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[18] Rama Chellappa,et al. Unconstrained face verification using deep CNN features , 2015, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).
[19] Xiaogang Wang,et al. Deeply learned face representations are sparse, selective, and robust , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Carlos D. Castillo,et al. L2-constrained Softmax Loss for Discriminative Face Verification , 2017, ArXiv.
[21] 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).
[22] Liming Chen,et al. DeepVisage: Making Face Recognition Simple Yet With Powerful Generalization Skills , 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).
[23] Yann LeCun,et al. Learning a similarity metric discriminatively, with application to face verification , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[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] Andrew Zisserman,et al. Multicolumn Networks for Face Recognition , 2018, BMVC.
[26] 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).
[27] James Philbin,et al. FaceNet: A unified embedding for face recognition and clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Yu Qiao,et al. Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).