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Face recognition is one of the most popular and long-standing topics in computer vision.
Improved Selective Refinement Network for Face Detection
S. Zhang, R. Zhu, X. Wang, H. Shi, F. Fu, S. Wang, T. Mei, and S. Z. Li. 2019g · 1901
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Robust and High Performance Face Detector
Y. Zhang, X. Xu, and X. Liu. 2019d · 1901
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PyramidBox++: High Performance Detector for Finding Tiny Face
Z. Li, X. Tang, J. Han, J. Liu, and R. He. 2019b · 1904
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Accurate Face Detection for High Performance
F. Zhang, X. Fan, G. Ai, J. Song, Y. Qin, and J. Wu. 2019a · 1905
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CenterFace: Joint Face Detection and Alignment Using Face as Point
Y. Xu, W. Yan, H. Sun, G. Yang, and J. Luo. 2019 · 1911
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Doppelganger mining for face representation learning. In Proceedings of the IEEE International Conference on Computer Vision . 1916–1923
E. Smirnov, A. Melnikov, S. Novoselov, E. Luckyanets, and G. Lavrentyeva. 2017 · 1923
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Know you at one glance: A compact vector representation for low-shot learning. In Proceedings of the IEEE International Conference on Computer Vision Workshops . 1924–1932
Y. Cheng, J. Zhao, Z. Wang, Y. Xu, K. Jayashree, S. Shen, and J. Feng. 2017 · 1932
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Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 1931–1939
B. Klare, B. Klein, E. Taborsky, A. Blanton, J. Cheney, K. E. Allen, P. Grother, A. Mah, M. Burge, and A. K. Jain. 2015 · 1939
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Low-Shot Face Recognition with Hybrid Classifiers. In Proceedings of the IEEE International Conference on Computer Vision Workshops . 1933–1939
Y. Wu, H. Liu, and Y. Fu. 2017 · 1939
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Face Generation for Low-Shot Learning Using Generative Adversarial Networks. In Proceedings of the IEEE International Conference on Computer Vision Workshops . 1940–1948
J. Choe, S. Park, K. Kim, J. Park, D. Kim, and H. Shim. 2017 · 1948
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Eigenfaces for Recognition
M. Turk and A. Pentland. 1991 · 1991
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Active shape models—‘smart snakes’. In Proceedings of the British Machine Vision Conference . 266–275
T. F. Cootes and C. J. Taylor. 1992 · 1992
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Deep learning face representation by joint identification-verification. In Advances in neural information processing systems . 1988–1996
Y. Sun, Y. Chen, X. Wang, and X. Tang. 2014 · 1996
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Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
P. N. Belhumeur, P. H. Joo, and D. J. Kriegman. 1997 · 1997
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View-based active appearance models. In Proceedings of the IEEE International Conference on Automatic Face & \& Gesture Recognition . 227–232
T. F. Cootes, K. Walker, and C. J. Taylor. 2000 · 2000
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Rapid object detection using a boosted cascade of simple features. In Proceedings of the conference on computer vision and pattern recognition , Vol. 1. I–I
Paul Viola and Michael Jones. 2001 · 2001
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Face recognition vendor test 2002 performance metrics. In International Conference on Audio-and Video-based Biometric Person Authentication . 937–945
P. Grother, R. J. Micheals, and P. J. Phillips. 2003 · 2002
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Statistical Learning of Multi-view Face Detection. In Proceedings of the European Conference on Computer Vision . 67–81
S. Z. Li, L. Zhu, Z. Zhang, A. Blake, H. Zhang, and H. Shum. 2002 · 2002
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Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition
C. Liu and H. Wechsler. 2002 · 2002
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Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
T. Ojala, M. Pietikainen, and T. Maenpaa. 2002 · 2002
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Detecting Faces in Images: A Survey
Ming-Hsuan Yang, D. Kriegman, and N. Ahuja. 2002 · 2002
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Face recognition based on fitting a 3d morphable model
V. Blanz and T. Vetter. 2003 · 2003
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Face recognition: A literature survey
Zhao w, R. Chellappa, P. J. Phillips, and A. Rosenfeld. 2003 · 2003
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Balanced Alignment for Face Recognition: A Joint Learning Approach
H. Wei, P. Lu, and Y. Wei. 2020 · 2003
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ASFD: Automatic and Scalable Face Detector
B. Zhang, J. Li, Y. Wang, Y. Tai, C. Wang, J. Li, F. Huang, Y. Xia, W. Pei, and R. Ji. 2020d · 2003
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Face recognition with local binary patterns. In Proceedings of the European Conference on Computer Vision . 469–481
T. Ahonen, A. Hadid, and M. Pietikinen. 2004 · 2004
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Learning a distance metric from relative comparisons. In Advances in neural information processing systems . 41–48
M. Schultz and T. Joachims. 2004 · 2004
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Joint Haar-like features for face detection. In Proceedings of the IEEE International Conference on Computer Vision . 1619–1626
T. Mita, T. Kaneko, and O. Hori. 2005 · 2005
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AgeDB: The First Manually Collected, In-the-Wild Age Database. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops . 1997–2005
S. Moschoglou, A. Papaioannou, C. Sagonas, J. Deng, I. Kotsia, and S. Zafeiriou. 2017 · 2005
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A survey of approaches and challenges in 3D and multi-modal 3D+ 2D face recognition
K. W. Bowyer, K. Chang, and P. Flynn. 2006 · 2006
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Distance Metric Learning for Large Margin Nearest Neighbor Classification. In Advances in neural information processing systems . 1473–1480
K. Q. Weinberger and L. K. Saul. 2006 · 2006
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Face recognition from a single image per person: A survey
F. Zhang. 2006 · 2006
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Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments
G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller. 2007 · 2007
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Fast training and selection of Haar features using statistics in boosting-based face detection. In Proceedings of the IEEE International Conference on Computer Vision . 1–7
m. t. Pham and T.J. Cham. 2007 · 2007
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Shape regression machine. In Biennial International Conference on Information Processing in Medical Imaging . 13–25
S. K. Zhou and D. Comaniciu. 2007 · 2007
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Illumination Invariant Face Recognition: A Survey. In Proceedings of the IEEE International Conference on Biometrics: Theory, Applications, and Systems . 1–8
X. Zou, J. Kittler, and K. Messer. 2007 · 2007
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On the Design of Cascades of Boosted Ensembles for Face Detection
S. C. Brubaker, J. Wu, J. Sun, M. D. Mullin, and J. M. Rehg. 2008 · 2008
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Multi-PIE. In Proceedings of the IEEE International Conference on Automatic Face & \& Gesture Recognition . 1–8
R. Gross, I. A. Matthews, J. F. Cohn, T. Kanade, and S. Baker. 2008 · 2008
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Video collage: presenting a video sequence using a single image
Tao Mei, Bo Yang, Shiqiang Yang, and Xiansheng Hua. 2008 · 2008
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A Survey of Face Recognition Techniques
H. R. Arabnia. 2009 · 2009
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Imagenet: A large-scale hierarchical image database. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 248–255
J. Deng, W. Dong, R. Socher, L. Li, K. Li, and L. Fei-Fei. 2009 · 2009
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The Pascal Visual Object Classes (VOC) Challenge
M. Everingham, L. V. Gool, C. K. I. Williams, J. Winn, and A. Zisserman. 2010 · 2010
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FDDB: A Benchmark for Face Detection in Unconstrained Settings
Jain V and E. Learned-Miller. 2010 · 2010
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The pascal visual object classes challenge 2012 (voc2012) development kit
M. Everingham and J. Winn. 2011 · 2011
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Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization. In Proceedings of the IEEE International Conference on Computer Vision Workshops . 2144–2151
M. Kostinger, P. Wohlhart, P. M. Roth, and H. Bischof. 2011 · 2011
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Face recognition in unconstrained videos with matched background similarity. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 529–534
L. Wolf, T. Hassner, and I. Maoz. 2011 · 2011
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Coupled information-theoretic encoding for face photo-sketch recognition. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 513–520
W. Zhang, X. Wang, and X. Tang. 2011 · 2011
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ImageNet Classification with Deep Convolutional Neural Networks. In Advances in Neural Information Processing Systems . 1097–1105
A. Krizhevsky, I. Sutskever, and G. E. Hinton. 2012 · 2012
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Interactive Facial Feature Localization. In Proceedings of the European Conference on Computer Vision . 679–692
V. Le, J. Brandt, Z. L. Lin, L. D. Bourdev, and T. S. Huang. 2012 · 2012
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Face detection, pose estimation, and landmark localization in the wild. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 2879–2886
X. Zhu and D. Ramanan. 2012 · 2012
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Localizing parts of faces using a consensus of exemplars
P. N. Belhumeur, D. W. Jacobs, D. J. Kriegman, and N. Kumar. 2013 · 2013
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Robust face landmark estimation under occlusion. In Proceedings of the IEEE International Conference on Computer Vision . 1513–1520
X. P. Burgos-Artizzu, P. Perona, and P. Dollár. 2013 · 2013
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The CASIA NIR-VIS 2.0 Face Database. In Proceedings of IEEE Conference on Computer Vision and Pattern RecognitionWorkshops . 348–353
S. Z. Li, D. Yi, Z. Lei, and S. Liao. 2013 · 2013
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Local Evidence Aggregation for Regression-Based Facial Point Detection
B. Martínez, M. F. Valstar, X. Binefa, and M. Pantic. 2013 · 2013
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300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge. In Proceedings of the IEEE International Conference on Computer Vision Workshops . 397–403
C. Sagonas, G. Tzimiropoulos, S. Zafeiriou, and M. Pantic. 2013 · 2013
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Deep Convolutional Network Cascade for Facial Point Detection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 3476–3483
Y. Sun, X. Wang, and X. Tang. 2013 · 2013
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Hybrid Deep Learning for Face Verification. In Proceedings of the IEEE International Conference on Computer Vision . 1489–1496
Y. Sun, X. Wang, and X. Tang. 2013 · 2013
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Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade. In Proceedings of the IEEE International Conference on Computer Vision Workshops . 386–391
E. Zhou, H. Fan, Z. Cao, Y. Jiang, and Q. Yin. 2013 · 2013
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A comparative study of face landmarking techniques
O. Çeliktutan, S.Ulukaya, and B. Sankur. 2013 · 2013
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Aggregate channel features for multi-view face detection. In Proceedings of the IEEE International Joint Conference on Biometrics . 1–8
B. Yang, J. Yan, Z. Lei, and S. Z. Li. 2014 · 2014
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Marginal Loss for Deep Face Recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops . 2006–2014
Jiankang Deng, Yuxiang Zhou, and Stefanos Zafeiriou. 2017b · 2014
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Face recognition vendor test (FRVT):Performance of face identification algorithms
P. Grother and M. Ngan. 2014 · 2014
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Illumination-Aware Age Progression. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 3334–3341
I. Kemelmacher-Shlizerman, S. Suwajanakorn, and S. Seitz. 2014 · 2014
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A benchmark study of large-scale unconstrained face recognition. In Proceedings of the IEEE International Joint Conference on Biometrics . 1–8
S. Liao, Z. Lei, D. Yi, and S. Z. Li. 2014 · 2014
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Deep Learning Face Representation from Predicting 10,000 Classes. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 1891–1898
Y. Sun, X. Wang, and X. Tang. 2014 · 2014
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Deepface: Closing the gap to human-level performance in face verification. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 1701–1708
Y. Taigman, M. Yang, M. Ranzato, and L. Wolf. 2014 · 2014
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Face detection by structural models
J. Yan, X. Zhang, Z. Lei, and S. Z. Li. 2014 · 2014
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Learning Face Representation from Scratch
D. Yi, Z. Lei, S. Liao, and S. Z. Li. 2014 · 2014
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Improving multiview face detection with multi-task deep convolutional neural networks. In IEEE Winter Conference on Applications of Computer Vision . 1036–1041
C. Zhang and Z. Zhang. 2014 · 2014
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Multi-view face detection using deep convolutional neural networks. In Proceedings of the 5th ACM on International Conference on Multimedia Retrieval . 643–650
S. S. Farfade, M. J. Saberian, and L. J. Li. 2015 · 2015
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Densebox: Unifying landmark localization with end to end object detection
L. Huang, Y. Yang, Y. Deng, and Y. Yu. 2015 · 2015
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A convolutional neural network cascade for face detection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 5325–5334
H. Li, Z. Lin, X. Shen, J. Brandt, and G. Hua. 2015 · 2015
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Targeting Ultimate Accuracy: Face Recognition via Deep Embedding
J. Liu, Y. Deng, T. Bai, Z. Wei, and C. Huang. 2015 · 2015
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Composite sketch recognition via deep network - a transfer learning approach. In Proceedings of International Conference on Biometrics . 251–256
P. Mittal, M. Vatsa, and R. Singh. 2015 · 2015
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Deep Face Recognition. In Proceedings of the British Machine Vision Conference . 41.1–41.12
O. M. Parkhi, A. Vedaldi, and A. Zisserman. 2015 · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks. In Advances in neural information processing systems . 91–99
S. Ren, K. He, R. Girshick, and J. Sun. 2015 · 2015
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FaceNet: A unified embedding for face recognition and clustering. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 815–823
F. Schroff, D. Kalenichenko, and J. Philbin. 2015 · 2015
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The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results. In Proceedings of the IEEE International Conference on Computer Vision Workshops . 1003–1011
J. Shen, S. Zafeiriou, G. G. Chrysos, J. Kossaifi, G. Tzimiropoulos, and M. Pantic. 2015 · 2015
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Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan and A. Zisserman. 2015 · 2015
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DeepID3: Face Recognition with Very Deep Neural Networks
Y. Sun, D. Liang, X. Wang, and X. Tang. 2015a · 2015
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Going deeper with convolutions. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 1–9
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich. 2015 · 2015
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A Lightened CNN for Deep Face Representation
X. Wu, R. He, and Z. Sun. 2015 · 2015
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Fine-grained evaluation on face detection in the wild. In Proceedings of the IEEE International Conference on Automatic Face & \& Gesture Recognition , Vol. 1. 1–7
B. Yang, J. Yan, Z. Lei, and S. Z. Li. 2015 · 2015
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From facial parts responses to face detection: a deep learning approach. In Proceedings of the IEEE International Conference on Computer Vision . 3676–3684
S. Yang, P. Luo, C. C. Loy, and X. Tang. 2015 · 2015
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Deep learning face attributes in the wild. In Proceedings of the IEEE International Conference on Computer Vision . 3730–3738
z. Liu, p. Luo, x. Wang, and X. Tang. 2015 · 2015
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A survey on face detection in the wild: Past, present and future
S. Zafeiriou, C. Zhang, and Z. Zhang. 2015 · 2015
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End-to-End Photo-Sketch Generation via Fully Convolutional Representation Learning. In Proceedings of the ACM on International Conference on Multimedia Retrieval . 627–634
L. Zhang, L. Lin, X. Wu, S. Ding, and L. Zhang. 2015 · 2015
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Face recognition using deep multi-pose representations. In Proceedings of the IEEE Winter Conference on Applications of Computer Vision . 1–9
W. Abd-Almageed, Y. Wu, S. Rawls, S. Harel, T. Hassner, I. Masi, J. Choi, J. T. Leksut, J. Kim, P. Natarajan, R. Nevatia, and G. G. Medioni. 2016 · 2016
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Convolutional aggregation of local evidence for large pose face alignment. In Proceedings of the British Machine Vision Conference . 86.1–86.12
A. Bulat and G. Tzimiropoulos. 2016 · 2016
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Supervised transformer network for efficient face detection. In Proceedings of the European Conference on Computer Vision , Vol. 9909. 122–138
D. Chen, G. Hua, F. Wen, and J. Sun. 2016 · 2016
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One-to-many face recognition with bilinear CNNs. In Proceedings of the IEEE Winter Conference on Applications of Computer Vision . 1–9
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A Comprehensive Survey on Pose-Invariant Face Recognition
C. Ding and D. Tao. 2016 · 2016
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Ms-celeb-1m: A dataset and benchmark for large-scale face recognition. In Proceedings of the European Conference on Computer Vision . 87–102
Y. Guo, L. Zhang, Y. Hu, X. He, and J. Gao. 2016 · 2016
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Deep Residual Learning for Image Recognition. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 770–778
K. He, X. Zhang, S. Ren, and J. Sun. 2016 · 2016
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Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 4188–4196
A. Jourabloo and X. Liu. 2016 · 2016
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Multi-view deep network for cross-view classification. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 4847–4855
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The megaface benchmark: 1 million faces for recognition at scale. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 4873–4882
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Transferring deep representation for NIR-VIS heterogeneous face recognition
X. Liu, L. Song, X. Wu, and T. Tan. 2016b · 2016
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Face Model Compression by Distilling Knowledge from Neurons. In Proceedings of the AAAI Conference on Artificial Intelligence . 3560–3566
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Pose-Aware Face Recognition in the Wild. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 4838–4846
I. Masi, S. Rawls, G. G. Medioni, and P. Natarajan. 2016 · 2016
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Stacked Hourglass Networks for Human Pose Estimation. In Proceedings of the European Conference on Computer Vision . 483–499
A. Newell, K. Yang, and J. Deng. 2016 · 2016
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Grid loss: detecting occluded faces. In Proceedings of the European Conference on Computer Vision , Vol. 9907. 386–402
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Direct Shape Regression Networks for End-to-End Face Alignment. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 5040–5049
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Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans
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MobileNetV2: Inverted Residuals and Linear Bottlenecks. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 4510–4520
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A Recurrent Encoder-Decoder Network for Sequential Face Alignment. In Proceedings of the European Conference on Computer Vision . 38–56
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Joint Training of Cascaded CNN for Face Detection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 3456–3465
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Seeing the Forest from the Trees: A Holistic Approach to Near-Infrared Heterogeneous Face Recognition. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern RecognitionW . 320–328
C. Reale, N. M. Nasrabadi, H. Kwon, and R. Chellappa. 2016 · 2016
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300 Faces In-The-Wild Challenge: database and results
C. Sagonas, E. Antonakos, G. Tzimiropoulos, S. Zafeiriou, and M. Pantic. 2016 · 2016
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Triplet probabilistic embedding for face verification and clustering. In Proceedings of the IEEE International Conference on Biometrics Theory, Applications and Systems . 1–8
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Heterogeneous Face Recognition with CNNs. In Proceedings of the European Conference on Computer Vision Workshops . 483–491
S. Saxena and J. Verbeek. 2016 · 2016
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Frontal to profile face verification in the wild. In Proceedings of the IEEE Winter Conference on Applications of Computer Vision . 1–9
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Learning Better Features for Face Detection with Feature Fusion and Segmentation Supervision
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Additive margin softmax for face verification
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Sface: An efficient network for face detection in large scale variations
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Deep Face Recognition: A Survey
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Facial Landmark Detection with Tweaked Convolutional Neural Networks
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Self-Reinforced Cascaded Regression for Face Alignment. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 32
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Attentional Alignment Networks. In Proceedings of the British Machine Vision Conference , Vol. 2. 6–13
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Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition. In Proceedings of the European Conference on Computer Vision . 568–583
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Towards Pose Invariant Face Recognition in the Wild. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 2207–2216
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Cross-pose lfw: A database for studying crosspose face recognition in unconstrained environments
T. Zheng and W. Deng. 2018 · 2018
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Ring loss: Convex feature normalization for face recognition. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 5089–5097
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Deep Difference Analysis in Similar-looking Face recognition. In Proceedings of the International Conference on Pattern Recognition (ICPR) . IEEE, 3353–3358
Yaoyao Zhong and Weihong Deng. 2018 · 2018
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Gridface: Face rectification via learning local homography transformations. In Proceedings of the European Conference on Computer Vision . 3–19
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