Projects

  1. summary image

    Face Anti-spoofing, Face Presentation Attack Detection

    Yaojie Liu, Amin Jourabloo, Yousef Atoum, Xiaoming Liu

    Biometrics utilize physiological, such as fingerprint, face, and iris, or behavioral characteristics, such as typing rhythm and gait, to uniquely identify or authenticate an individual. As biometric systems are widely used in real-world applications including mobile phone authentication and access control, biometric spoof, or Presentation Attack (PA) are becoming a ...

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    Keywords: Face antispoofing

Publications

2017

  • Dense Face Alignment
    Yaojie Liu, Amin Jourabloo, William Ren, Xiaoming Liu
    In Proceeding of International Conference on Computer Vision Workshops (ICCVW 2017), Venice, Italy, Oct. 2017
    Bibtex | PDF | arXiv | Project Webpage
  • @inproceedings{ dense-face-alignment,
      author = { Yaojie Liu and Amin Jourabloo and William Ren and Xiaoming Liu },
      title = { Dense Face Alignment },
      booktitle = { In Proceeding of International Conference on Computer Vision Workshops },
      address = { Venice, Italy },
      month = { October },
      year = { 2017 },
    }
  • Face Anti-Spoofing Using Patch and Depth-based CNNs
    Yousef Atoum, Yaojie Liu, Amin Jourabloo, Xiaoming Liu
    In Proceeding of International Joint Conference on Biometrics (IJCB 2017), Denver, CO, Oct. 2017
    Bibtex | PDF | Project Webpage
  • @inproceedings{ face-anti-spoofing-using-patch-and-depth-based-cnns,
      author = { Yousef Atoum and Yaojie Liu and Amin Jourabloo and Xiaoming Liu },
      title = { Face Anti-Spoofing Using Patch and Depth-based CNNs },
      booktitle = { In Proceeding of International Joint Conference on Biometrics },
      address = { Denver, CO },
      month = { October },
      year = { 2017 },
    }