Face.md

Face

Detection

1. • Li H, Lin Z, Shen X, et al. A convolutional neural network cascade for face detection[J] (2015).[pdf](Cascade CNN)
2. • Kaipeng Zhang, et al. "Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks." arXiv:1604.02878 (2016). [pdf] (MTCNN)
3. • Qin, Hongwei, et al. "Joint Training of Cascaded CNN for Face Detection." CVPR worwshop(2016). [pdf] (FaceCraft)
4. • Rajeev Ranjan, Vishal M. Patel, Rama Chellappa. "HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition." ArXiv report(2016). [pdf] (HyperFace)
5. • Jiang, Huaizu, and E. Learned-Miller. "Face Detection with the Faster R-CNN." (2016).[pdf] (Face FasterRCNN)
6. • Peiyun Hu, Deva Ramanan. "Finding Tiny Faces." arXiv:1612.04402 (2016) [pdf] (Tiny Face)
7. • Sun, Xudong, P. Wu, and S. C. H. Hoi. "Face Detection using Deep Learning: An Improved Faster RCNN Approach." (2017).[pdf] (DeepIR)
8. • Hao Wang, Zhifeng Li, et al. "Face R-CNN." arXiv:1706.01061(2017). [pdf] (Face R-CNN)
9. • Yang, Shuo, et al. "Face Detection through Scale-Friendly Deep Convolutional Networks." (2017).[pdf](Scale Face)
10. • Zekun Hao, Yu Liu, et al. "Scale-Aware Face Detection." arXiv:1706.01061(2017). [pdf](SAFD)
11. • Liu, Yu, et al. "Recurrent Scale Approximation for Object Detection in CNN." ICCV(2017). [pdf](RSA)
12. • Najibi, Mahyar, et al. "SSH: Single Stage Headless Face Detector." ICCV(2017). [pdf](SSH)
13. • Zhang, Shifeng, et al. "S3FD: Single Shot Scale-invariant Face Detector." ICCV(2017). [pdf](S3FD)
14. • Zhang, Shifeng, et al. "FaceBoxes: A CPU Real-time Face Detector with High Accuracy." IJCB(2017). [pdf](Faceboxes)
15. • Jianfeng Wang, Ye Yuan, Gang Yu. "Face Attention Network: An effective Face Detector for the Occluded Faces." CVPR(2017). [pdf](FAN)
16. • Chenchen Zhu, Ran Tao, Khoa Luu, Marios Savvides. "Seeing Small Faces from Robust Anchor's Perspective." CVPR(2018). [pdf]
17. • Jianfeng Wang, Ye Yuan, Boxun Li, Gang Yu, Sun Jian. "SFace: An Efficient Network for Face Detection in Large Scale Variations." arXiv:1804.06559(2018). [pdf]
18. • Yancheng Bai1, Yongqiang Zhang, Mingli Ding, Bernard Ghanem. "Finding Tiny Faces in the Wild with Generative Adversarial Network." CVPR(2018). [pdf]
19. • Jian Li, Yabiao Wang, Changan Wang, Ying Tai, Jianjun Qian, Jian Yang, Chengjie Wang, Jilin Li, Feiyue Huang. "DSFD: Dual Shot Face Detector." CVPR(2018). [pdf](DSFD)

Alignment

2D

1. • Zhang Z, Luo P, Loy CC, Tang X. "*Facial landmark detection by deep multi-task learning." ECCV(2014). [pdf](TCDCN)
2. • Zhang Z, Luo P, Loy CC, Tang X. "Learning Deep Representation for Face Alignment with Auxiliary Attributes." TPAMI(2015). [pdf](FAAA)
3. • Wu, Yue, and T. Hassner. "Facial Landmark Detection with Tweaked Convolutional Neural Networks." Computer Science(2015). [pdf](Vanilla CNN)
4. • Wu, Yue, C. Gou, and Q. Ji. "Simultaneous Facial Landmark Detection, Pose and Deformation Estimation under Facial Occlusion." CVPR(2017). [pdf]
5. • Marek Kowalski, Jacek Naruniec, Tomasz Trzcinski. "Deep Alignment Network: A convolutional neural network for robust face alignment." CVPR(2017). [pdf][github](DAN)
6. • Adrian Bulat, Georgios Tzimiropoulos. "Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources." ICCV(2017). [pdf][github]
7. • Dong, Xuanyi and Yan, Yan and Ouyang, Wanli and Yang, Yi. "Style Aggregated Network for Facial Landmark Detection." (2018). [pdf][github](SAN)

3D

1. • Xiangyu Zhu, Zhen Lei, Xiaoming Liu, Hailin Shi, Stan Z. Li. "Face Alignment Across Large Poses: A 3D Solution" (2015). [pdf][home](3DDFA)
2. • Adrian Bulat and Georgios Tzimiropoulos. "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" ICCV(2017). [pdf](FAN)
3. • Hongwen Zhang, Qi Li, Zhenan Sun. "Joint Voxel and Coordinate Regression for Accurate 3D Facial Landmark Localization." (2018). [pdf][github](JVCR-3Dlandmark)

Dense

1. • Hongwen Zhang, Qi Li, Zhenan Sun. "Dense Face Alignment." ICCVW(2017). [pdf][home](DFA)
2. • Yao Feng, Fan Wu, Xiaohu Shao, Yanfeng Wang, Xi Zhou. "Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network." ECCV(2018). [pdf][github](PRNet)
3. • Xiangyu Zhu, Xiaoming Liu, Zhen Lei, Stan Z. Li. "Face Alignment in Full Pose Range: A 3D Total Solution." arxiv(2018). [pdf][github](3DDFA)

Review

1. • Jin, Xin, and X. Tan. "Face Alignment In-the-Wild: A Survey." Computer Vision & Image Understanding (2017). [pdf]

Head pose estimation

1. • Ruiz, Nataniel, E. Chong, and J. M. Rehg. "Fine-Grained Head Pose Estimation Without Keypoints." (2017). [pdf][github]

Quality Assessment

1. • Chen, Jiansheng, et al. "Face Image Quality Assessment Based on Learning to Rank." IEEE Signal Processing Letters 22.1(2014):90-94. [pdf]
2. • Abaza, A, et al. "Design and evaluation of photometric image quality measures for effective face recognition." Biometrics Iet 3.4(2014):314-324.. [pdf]
3. • Yang, Xiaokang, et al. "Recognition Oriented Facial Image Quality Assessment via Deep Convolutional Neural Network." International Conference on Internet Multimedia Computing and Service ACM, 2016:160-163. [pdf]
4. • Vignesh, Manasa Priya, and S. S. Channappayya. "Face image quality assessment for face selection in surveillance video using convolutional neural networks." Signal and Information Processing IEEE, 2016:577-581. [pdf]

Anti-Spoofing

1. • Galbally, Javier, S. Marcel, and J. Fierrez. "Image Quality Assessment for Fake Biometric Detection: Application to Iris, Fingerprint, and Face Recognition." IEEE Transactions on Image Processing 23.2(2014):710-24. [pdf]
2. • Wen, Di, H. Han, and A. K. Jain. "Face Spoof Detection With Image Distortion Analysis." IEEE Transactions on Information Forensics & Security 10.4(2015):746-761. [pdf](Image Distortion Analysis)
3. • Xu, Zhenqi, S. Li, and W. Deng. "Learning temporal features using LSTM-CNN architecture for face anti-spoofing." Pattern Recognition IEEE, 2016:141-145. [pdf](LSTM-CNN)
4. • Souza, Gustavo Botelho De, J. P. Papa, and A. N. Marana. "On the Learning of Deep Local Features for Robust Face Spoofing Detection." (2017) [pdf](PatchNet)
5. • Atoum, Yousef, et al. "Face anti-spoofing using patch and depth-based CNNs.." IJCB(2017). [pdf]
6. • Liu, Yaojie, A. Jourabloo, and X. Liu. "Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision." cvpr(2018). [pdf]
7. • Xiao Song, Xu Zhao, Liangji Fang, Tianwei Lin. "Discriminative Representation Combinations for Accurate Face Spoofing Detection." arxiv(2018). [pdf]
8. • Lei Li, Zhaoqiang Xia, Abdenour Hadid, Xiaoyue Jiang, Fabio Roli, Xiaoyi Feng. "Face Presentation Attack Detection in Learned Color-liked Space." arxiv(2018). [pdf]
9. • Amin Jourabloo, Yaojie Liu, Xiaoming Liu. "Face De-Spoofing: Anti-Spoofing via Noise Modeling." ECCV(2018). [pdf]
10. • Shifeng Zhang, Xiaobo Wang, Ajian Liu, Chenxu Zhao, Jun Wan, Sergio Escalera, Hailin Shi, Zezheng Wang, Stan Z. Li. "CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-Spoofing." CVPR(2019)(CASIA-SURF). [pdf]
11. • Parkin, Aleksandr and Grinchuk, Oleg. "Recognizing Multi-Modal Face Spoofing with Face Recognition Networks." CVPRW(2019)(SENet). [pdf][github]
12. • Shen, Tao and Huang, Yuyu and Tong, Zhijun. "FaceBagNet: Bag-of-local-features Model for Multi-modal Face Anti-spoofing." CVPRW(2019)(FaceBagNet). [pdf][github]
13. • Peng Zhang et al. "FeatherNets: Convolutional Neural Networks as Ligh as Feather for Face Anti-spoofing." CVPRW(2019)(FeatherNets). [pdf][github]
14. • Yang, Xiao and Luo, Wenhan and Bao, Linchao and Gao, Yuan and Gong, Dihong and Zheng, Shibao and Li, Zhifeng and Liu, Wei. "Face Anti-Spoofing: Model Matters, so Does Data." CVPRW(2019). [pdf]
15. • Shao, Rui and Lan, Xiangyuan and Li, Jiawei and Yuen, Pong C. "Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection." CVPRW(2019). [[pdf]]（http://openaccess.thecvf.com/content_CVPR_2019/html/Shao_Multi-Adversarial_Discriminative_Deep_Domain_Generalization_for_Face_Presentation_Attack_Detection_CVPR_2019_paper.html)

Recognition

1. • Liu, Weiyang, et al. "FaceNet: A Unified Embedding for Face Recognition and Clustering." (2017). CVPR(2015). [pdf] (FaceNet)
2. • Xiang Wu, Ran He, et al. "A Light CNN for Deep Face Representation with Noisy Labels." arXiv:1511.02683(2015).[pdf] (Lignt CNN)
3. • Wen, Yandong, et al. "A Discriminative Feature Learning Approach for Deep Face Recognition." ECCV(2016). [pdf] (CenterFace)
4. • Weiyang Liu, Yandong Wen, Zhiding Yu, Meng Yang. "Large-Margin Softmax Loss for Convolutional Neural Networks." ICML(2016). [pdf] (L-softmax)
5. • Wang, Feng, et al. "NormFace: $L_2$ Hypersphere Embedding for Face Verification." ACM MM(2017). [pdf] (NormFace)
6. • Rajeev Ranjan, Carlos D. Castillo, Rama Chellappa, et al. "L2-constrained Softmax Loss for Discriminative Face Verification." (2017). [pdf] (L2-softmax)
7. • Liu, Weiyang, et al. "SphereFace: Deep Hypersphere Embedding for Face Recognition." CVPR(2017). [pdf] (SphereFace)
8. • Liu, Yu, H. Li, and X. Wang. "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition." NIPS(2017). [pdf] (Coco loss)
9. • Wang F, Liu W, Liu H, et al. "Additive Margin Softmax for Face Verification." arXiv 2018.[pdf] (AM-Softmax)
10. • Deng, Jiankang, J. Guo, and S. Zafeiriou. "ArcFace: Additive Angular Margin Loss for Deep Face Recognition." (2018).[pdf] (ArcFace)
11. • Deng, Jiankang, J. Guo, and S. Zafeiriou. "DocFace: Matching ID Document Photos to Selfies." (2018).[pdf] [github](DocFace+)

Review

1. • Mei Wang, Weihong Deng. "Deep Face Recognition: A Survey." arxiv(2018).[pdf]

Review

1. • Baltru Aitis, Tadas, P. Robinson, and L. P. Morency. "OpenFace: An open source facial behavior analysis toolkit." IEEE Winter Conference on Applications of Computer Vision IEEE, 2016:1-10. [pdf] (OpenFace)