Structure Destruction and Content Combination for Face Anti-Spoofing
暂无分享,去创建一个
Jilin Li | Shouhong Ding | Shice Liu | Taiping Yao | Bangjie Yin | Jian Zhang | Ke-Yue Zhang | Jian Zhang | Jilin Li | Bangjie Yin | Shouhong Ding | Ke-Yue Zhang | Taiping Yao | Shice Liu
[1] Feiyue Huang,et al. Face Anti-Spoofing Via Disentangled Representation Learning , 2020, ECCV.
[2] Sébastien Marcel,et al. LBP - TOP Based Countermeasure against Face Spoofing Attacks , 2012, ACCV Workshops.
[3] Pong C. Yuen,et al. Regularized Fine-grained Meta Face Anti-spoofing , 2019, AAAI.
[4] Xiaoming Liu,et al. Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[5] Xiaoming Liu,et al. Face anti-spoofing using patch and depth-based CNNs , 2017, 2017 IEEE International Joint Conference on Biometrics (IJCB).
[6] Anil K. Jain,et al. Secure Face Unlock: Spoof Detection on Smartphones , 2016, IEEE Transactions on Information Forensics and Security.
[7] Matti Pietikäinen,et al. Context based face anti-spoofing , 2013, 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS).
[8] Junjie Yan,et al. A face antispoofing database with diverse attacks , 2012, 2012 5th IAPR International Conference on Biometrics (ICB).
[9] Lai-Man Po,et al. Integration of image quality and motion cues for face anti-spoofing: A neural network approach , 2016, J. Vis. Commun. Image Represent..
[10] Xiangyu Zhu,et al. Learning Meta Model for Zero- and Few-Shot Face Anti-Spoofing , 2019, AAAI.
[11] Luca Antiga,et al. Automatic differentiation in PyTorch , 2017 .
[12] Sébastien Marcel,et al. Can face anti-spoofing countermeasures work in a real world scenario? , 2013, 2013 International Conference on Biometrics (ICB).
[13] Xiaoming Liu,et al. On Disentangling Spoof Trace for Generic Face Anti-Spoofing , 2020, ECCV.
[14] Matti Pietikäinen,et al. Face spoofing detection from single images using micro-texture analysis , 2011, 2011 International Joint Conference on Biometrics (IJCB).
[15] Jukka Komulainen,et al. OULU-NPU: A Mobile Face Presentation Attack Database with Real-World Variations , 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).
[16] Jingang Shi,et al. Face Anti-Spoofing with Human Material Perception , 2020, ECCV.
[17] Tao Shen,et al. FaceBagNet: Bag-Of-Local-Features Model for Multi-Modal Face Anti-Spoofing , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[18] Chenxu Zhao,et al. Searching Central Difference Convolutional Networks for Face Anti-Spoofing , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[20] Yuan Xie,et al. Dual Reweighting Domain Generalization for Face Presentation Attack Detection , 2021, IJCAI.
[21] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[22] Shengcai Liao,et al. Face liveness detection with component dependent descriptor , 2013, 2013 International Conference on Biometrics (ICB).
[23] Jukka Komulainen,et al. Face anti-spoofing based on color texture analysis , 2015, 2015 IEEE International Conference on Image Processing (ICIP).
[24] Guoying Zhao,et al. Dual-Cross Central Difference Network for Face Anti-Spoofing , 2021, IJCAI.
[25] Sébastien Marcel,et al. On the effectiveness of local binary patterns in face anti-spoofing , 2012, 2012 BIOSIG - Proceedings of the International Conference of Biometrics Special Interest Group (BIOSIG).
[26] Feiyue Huang,et al. Aurora Guard: Reliable Face Anti-Spoofing via Mobile Lighting System , 2021, ArXiv.
[27] Feiyue Huang,et al. Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing , 2021, AAAI.
[28] Ren Ng,et al. Single Image Reflection Separation with Perceptual Losses , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[29] Zhaoqiang Xia,et al. Revisiting Pixel-Wise Supervision for Face Anti-Spoofing , 2020, IEEE Transactions on Biometrics, Behavior, and Identity Science.
[30] Xiaoming Liu,et al. Deep Tree Learning for Zero-Shot Face Anti-Spoofing , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Xiangyu Zhu,et al. Deep Spatial Gradient and Temporal Depth Learning for Face Anti-Spoofing , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).