暂无分享,去创建一个
Carlos D. Castillo | Swami Sankaranarayanan | Rama Chellappa | Jun-Cheng Chen | Hongyu Xu | Ankan Bansal | Rajeev Ranjan | R. Chellappa | S. Sankaranarayanan | C. Castillo | Rajeev Ranjan | Jun-Cheng Chen | Ankan Bansal | Hongyu Xu
[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] Zhuowen Tu,et al. Aggregated Residual Transformations for Deep Neural Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Tal Hassner,et al. Face recognition in unconstrained videos with matched background similarity , 2011, CVPR 2011.
[4] A. O'Toole,et al. Structural aspects of face recognition and the other-race effect , 1994, Memory & cognition.
[5] Carlos D. Castillo,et al. Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans , 2018, IEEE Signal Processing Magazine.
[6] Andrew Zisserman,et al. A Compact and Discriminative Face Track Descriptor , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[7] Jian Sun,et al. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[8] Yu Qiao,et al. A Discriminative Feature Learning Approach for Deep Face Recognition , 2016, ECCV.
[9] Yuxiao Hu,et al. MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition , 2016, ECCV.
[10] Liming Chen,et al. von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification , 2017, ArXiv.
[11] 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).
[12] Rama Chellappa,et al. Template regularized sparse coding for face verification , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).
[13] Gang Hua,et al. Eigen-PEP for Video Face Recognition , 2014, ACCV.
[14] Rama Chellappa,et al. Learning a structured dictionary for video-based face recognition , 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).
[15] Lin Xiong,et al. A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion , 2017, ArXiv.
[16] 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).
[17] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[18] 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).
[19] David J. Kriegman,et al. Video-based face recognition using probabilistic appearance manifolds , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[20] Sergey Ioffe,et al. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning , 2016, AAAI.
[21] Anil K. Jain,et al. IARPA Janus Benchmark-B Face Dataset , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[22] Clément Farabet,et al. Torch7: A Matlab-like Environment for Machine Learning , 2011, NIPS 2011.
[23] 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.
[24] Marwan Mattar,et al. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments , 2008 .
[25] Dongqing Zhang,et al. Neural Aggregation Network for Video Face Recognition , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Rama Chellappa,et al. A Proximity-Aware Hierarchical Clustering of Faces , 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).
[27] Rama Chellappa,et al. HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Subhransu Maji,et al. One-to-many face recognition with bilinear CNNs , 2015, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).
[29] Chang Huang,et al. Targeting Ultimate Accuracy: Face Recognition via Deep Embedding , 2015, ArXiv.
[30] Qiong Cao,et al. Template Adaptation for Face Verification and Identification , 2016, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).
[31] Jun-Cheng Chen,et al. An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks , 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).
[32] Wei Liu,et al. SSD: Single Shot MultiBox Detector , 2015, ECCV.
[33] Tal Hassner,et al. Do We Really Need to Collect Millions of Faces for Effective Face Recognition? , 2016, ECCV.
[34] Ramakant Nevatia,et al. FacePoseNet: Making a Case for Landmark-Free Face Alignment , 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).
[35] Jiwen Lu,et al. Discriminative Deep Metric Learning for Face Verification in the Wild , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[36] Carlos D. Castillo,et al. UMDFaces: An annotated face dataset for training deep networks , 2016, 2017 IEEE International Joint Conference on Biometrics (IJCB).
[37] Liming Chen,et al. DeepVisage: Making Face Recognition Simple Yet With Powerful Generalization Skills , 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).
[38] Carlos D. Castillo,et al. The Do’s and Don’ts for CNN-Based Face Verification , 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).
[39] Rama Chellappa,et al. Statistical Computations on Grassmann and Stiefel Manifolds for Image and Video-Based Recognition , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[40] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[41] Trevor Darrell,et al. Face recognition with image sets using manifold density divergence , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[42] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[43] Yann LeCun,et al. The mnist database of handwritten digits , 2005 .
[44] Anil K. Jain,et al. IARPA Janus Benchmark - C: Face Dataset and Protocol , 2018, 2018 International Conference on Biometrics (ICB).
[45] Rama Chellappa,et al. Unconstrained face verification using deep CNN features , 2015, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).
[46] Xiaogang Wang,et al. Deeply learned face representations are sparse, selective, and robust , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[47] Andrew Zisserman,et al. Deep Face Recognition , 2015, BMVC.
[48] James Philbin,et al. FaceNet: A unified embedding for face recognition and clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[49] 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).
[50] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[51] Anil K. Jain,et al. Face Search at Scale: 80 Million Gallery , 2015, ArXiv.
[52] Deep Convolutional Neural Network Features and the Original Image , 2016, ArXiv.
[53] Bhiksha Raj,et al. SphereFace: Deep Hypersphere Embedding for Face Recognition , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[54] Gérard G. Medioni,et al. Pose-Aware Face Recognition in the Wild , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).