A Fast and Accurate System for Face Detection, Identification, and Verification
暂无分享,去创建一个
Carlos D. Castillo | Rama Chellappa | Jun-Cheng Chen | Boyu Lu | Jingxiao Zheng | Hongyu Xu | Ankan Bansal | Rajeev Ranjan | Anirudh Nanduri | Joshua Gleason | R. Chellappa | C. Castillo | Rajeev Ranjan | Jun-Cheng Chen | Jingxiao Zheng | Boyu Lu | Ankan Bansal | Hongyu Xu | Anirudh Nanduri | Joshua Gleason
[1] Xiaogang Wang,et al. Deep Learning Face Representation from Predicting 10,000 Classes , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[2] Yu Qiao,et al. A Discriminative Feature Learning Approach for Deep Face Recognition , 2016, ECCV.
[3] Jian Sun,et al. Joint Cascade Face Detection and Alignment , 2014, ECCV.
[4] Stefanos Zafeiriou,et al. A survey on face detection in the wild: Past, present and future , 2015, Comput. Vis. Image Underst..
[5] Tal Hassner,et al. Effective face frontalization in unconstrained images , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Anil K. Jain,et al. Face Search at Scale: 80 Million Gallery , 2015, ArXiv.
[7] Anil K. Jain,et al. IARPA Janus Benchmark - C: Face Dataset and Protocol , 2018, 2018 International Conference on Biometrics (ICB).
[8] Rama Chellappa,et al. KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors , 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).
[9] Rama Chellappa,et al. Unconstrained face verification using deep CNN features , 2015, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).
[10] Bruce A. Draper,et al. The challenge of face recognition from digital point-and-shoot cameras , 2013, 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS).
[11] Liming Chen,et al. von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification , 2017, ArXiv.
[12] Tieniu Tan,et al. A Light CNN for Deep Face Representation With Noisy Labels , 2015, IEEE Transactions on Information Forensics and Security.
[13] Ramakant Nevatia,et al. Face recognition using deep multi-pose representations , 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).
[14] Luc Van Gool,et al. DEX: Deep EXpectation of Apparent Age from a Single Image , 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).
[15] Shuo Yang,et al. From Facial Parts Responses to Face Detection: A Deep Learning Approach , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[16] 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.
[17] Wei Liu,et al. SSD: Single Shot MultiBox Detector , 2015, ECCV.
[18] Bin Yang,et al. Fine-grained evaluation on face detection in the wild , 2015, 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).
[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] Yu Qiao,et al. Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks , 2016, IEEE Signal Processing Letters.
[21] Marios Savvides,et al. CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection , 2016, ArXiv.
[22] Stefanos Zafeiriou,et al. A Comprehensive Performance Evaluation of Deformable Face Tracking “In-the-Wild” , 2016, International Journal of Computer Vision.
[23] Rama Chellappa,et al. A deep pyramid Deformable Part Model for face detection , 2015, 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS).
[24] Junjie Yan,et al. Face detection by structural models , 2014, Image Vis. Comput..
[25] Cheng Li,et al. Unconstrained Face Alignment via Cascaded Compositional Learning , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Gang Hua,et al. A convolutional neural network cascade for face detection , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Andrew Zisserman,et al. Multicolumn Networks for Face Recognition , 2018, BMVC.
[29] Rama Chellappa,et al. Face Alignment by Local Deep Descriptor Regression , 2016, ArXiv.
[30] Xiangyang Xue,et al. A Jointly Learned Deep Architecture for Facial Attribute Analysis and Face Detection in the Wild , 2017, ArXiv.
[31] Horst Bischof,et al. Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).
[32] 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.
[33] Xing Ji,et al. CosFace: Large Margin Cosine Loss for Deep Face Recognition , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[34] James Philbin,et al. FaceNet: A unified embedding for face recognition and clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Bin Yang,et al. Aggregate channel features for multi-view face detection , 2014, IEEE International Joint Conference on Biometrics.
[36] Shuo Yang,et al. Face Detection through Scale-Friendly Deep Convolutional Networks , 2017, ArXiv.
[37] 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).
[38] Koen E. A. van de Sande,et al. Selective Search for Object Recognition , 2013, International Journal of Computer Vision.
[39] George Trigeorgis,et al. Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[40] Carlos D. Castillo,et al. Deep Features for Recognizing Disguised Faces in the Wild , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[41] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[42] Carlos D. Castillo,et al. L2-constrained Softmax Loss for Discriminative Face Verification , 2017, ArXiv.
[43] 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).
[44] Xiaoming Liu,et al. Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Tal Hassner,et al. Age and gender classification using convolutional neural networks , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[46] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[47] Dacheng Tao,et al. Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[48] Mohan M. Trivedi,et al. To boost or not to boost? On the limits of boosted trees for object detection , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).
[49] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[50] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[51] Afshin Dehghan,et al. DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network , 2017, ArXiv.
[52] Ira Kemelmacher-Shlizerman,et al. The MegaFace Benchmark: 1 Million Faces for Recognition at Scale , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[53] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[54] Bhiksha Raj,et al. SphereFace: Deep Hypersphere Embedding for Face Recognition , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[55] Carlos D. Castillo,et al. Frontal to profile face verification in the wild , 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).
[56] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[57] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[58] Yizhou Wang,et al. Face Detection with End-to-End Integration of a ConvNet and a 3D Model , 2016, ECCV.
[59] Deva Ramanan,et al. Face detection, pose estimation, and landmark localization in the wild , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[60] Peiyun Hu,et al. Finding Tiny Faces , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[61] Jia Deng,et al. Stacked Hourglass Networks for Human Pose Estimation , 2016, ECCV.
[62] Andrew Zisserman,et al. Deep Face Recognition , 2015, BMVC.
[63] Davis E. King,et al. Dlib-ml: A Machine Learning Toolkit , 2009, J. Mach. Learn. Res..
[64] Marwan Mattar,et al. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments , 2008 .
[65] Dongqing Zhang,et al. Neural Aggregation Network for Video Face Recognition , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[66] Rama Chellappa,et al. A Proximity-Aware Hierarchical Clustering of Faces , 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).
[67] Carlos D. Castillo,et al. Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition , 2018, ArXiv.
[68] Larry S. Davis,et al. SSH: Single Stage Headless Face Detector , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[69] Xiaoming Liu,et al. Pose-Invariant 3D Face Alignment , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[70] Honglak Lee,et al. Learning hierarchical representations for face verification with convolutional deep belief networks , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[71] Omkar M. Parkhi,et al. VGGFace2: A Dataset for Recognising Faces across Pose and Age , 2017, 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018).
[72] Jian Cheng,et al. NormFace: L2 Hypersphere Embedding for Face Verification , 2017, ACM Multimedia.
[73] Ira Kemelmacher-Shlizerman,et al. Level Playing Field for Million Scale Face Recognition , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[74] Yuxiao Hu,et al. MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition , 2016, ECCV.
[75] 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).
[76] 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.
[77] Subhransu Maji,et al. One-to-many face recognition with bilinear CNNs , 2015, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).
[78] Gang Hua,et al. Supervised Transformer Network for Efficient Face Detection , 2016, ECCV.
[79] Xiangyu Zhu,et al. Face Alignment in Full Pose Range: A 3D Total Solution , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[80] Li-Jia Li,et al. Multi-view Face Detection Using Deep Convolutional Neural Networks , 2015, ICMR.
[81] Shifeng Zhang,et al. S^3FD: Single Shot Scale-Invariant Face Detector , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[82] Anil K. Jain,et al. IARPA Janus Benchmark-B Face Dataset , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[83] Xiaogang Wang,et al. Deep Convolutional Network Cascade for Facial Point Detection , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[84] Stefanos Zafeiriou,et al. 300 Faces In-The-Wild Challenge: database and results , 2016, Image Vis. Comput..
[85] Gang Hua,et al. Labeled Faces in the Wild: A Survey , 2016 .
[86] Huaizu Jiang,et al. Face Detection with the Faster R-CNN , 2016, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).
[87] Vishal M. Patel,et al. Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results , 2018, 2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS).
[88] Erik Learned-Miller,et al. FDDB: A benchmark for face detection in unconstrained settings , 2010 .
[89] Tal Hassner,et al. Do We Really Need to Collect Millions of Faces for Effective Face Recognition? , 2016, ECCV.
[90] Ramakant Nevatia,et al. FacePoseNet: Making a Case for Landmark-Free Face Alignment , 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).
[91] 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).
[92] Xiaogang Wang,et al. Deep Learning Face Representation by Joint Identification-Verification , 2014, NIPS.
[93] Luc Van Gool,et al. Face Detection without Bells and Whistles , 2014, ECCV.
[94] Sergey Ioffe,et al. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning , 2016, AAAI.
[95] Rama Chellappa,et al. Template regularized sparse coding for face verification , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).
[96] Xiaoou Tang,et al. Facial Landmark Detection by Deep Multi-task Learning , 2014, ECCV.
[97] Lin Xiong,et al. A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion , 2017, ArXiv.
[98] 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).
[99] Tal Hassner,et al. Face recognition in unconstrained videos with matched background similarity , 2011, CVPR 2011.
[100] Xiaogang Wang,et al. Deep Learning Face Attributes in the Wild , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[101] Qiong Cao,et al. Template Adaptation for Face Verification and Identification , 2016, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).
[102] Shuo Yang,et al. WIDER FACE: A Face Detection Benchmark , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[103] Heng Yang,et al. Facial feature point detection: A comprehensive survey , 2014, Neurocomputing.
[104] Karl Ricanek,et al. MORPH: a longitudinal image database of normal adult age-progression , 2006, 7th International Conference on Automatic Face and Gesture Recognition (FGR06).
[105] Rama Chellappa,et al. A Real-Time Multi-Task Single Shot Face Detector , 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).
[106] Shiguang Shan,et al. Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment , 2014, ECCV.
[107] Carlos D. Castillo,et al. UMDFaces: An annotated face dataset for training deep networks , 2016, 2017 IEEE International Joint Conference on Biometrics (IJCB).
[108] Carlos D. Castillo,et al. Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks , 2016, International Journal of Computer Vision.
[109] Shengcai Liao,et al. Learning Face Representation from Scratch , 2014, ArXiv.
[110] Liming Chen,et al. DeepVisage: Making Face Recognition Simple Yet With Powerful Generalization Skills , 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).
[111] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[112] 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).
[113] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[114] Jiwen Lu,et al. Discriminative Deep Metric Learning for Face Verification in the Wild , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[115] Stefanos Zafeiriou,et al. ArcFace: Additive Angular Margin Loss for Deep Face Recognition , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[116] Rich Caruana,et al. Multitask Learning , 1998, Encyclopedia of Machine Learning and Data Mining.
[117] Stefanos Zafeiriou,et al. Active Pictorial Structures , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).