Projects

  1. summary image

    Face Anti-spoofing, Face Presentation Attack Detection

    Yaojie Liu, Jeol Stehouwer, 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 ...

    Continue reading

    Keywords: Face antispoofing

  2. summary image

    Generic Object Sensor and Spoof Noise Classification, Modeling, and Synthesis

    Joel Stehouwer, Amin Jourabloo, Yaojie Liu, Xiaoming Liu

    Biometric recognition is increasingly used in commercial and high-security settings. Because of this, the threat of spoofing techniques, the act of presenting a fake biometric object to a sensor, is a large concern. Recent research has focused on face, fingerprint, and iris anti-spoofing. However, no other research attempts to use ...

    Continue reading

    Keywords: Anti-Spoofing, Noise Synthesis

Publications

2020

  • Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing
    Joel Stehouwer, Amin Jourabloo, Yaojie Liu, Xiaoming Liu
    In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, Jun. 2020
    Bibtex | PDF | arXiv | Poster | Project Webpage | Code
  • @inproceedings{ noise-modeling-synthesis-and-classification-for-generic-object-anti-spoofing,
      author = { Joel Stehouwer and Amin Jourabloo and Yaojie Liu and Xiaoming Liu },
      title = { Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing },
      booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
      address = { Seattle, WA },
      month = { June },
      year = { 2020 },
    }

2019

  • Presentation Attack Detection for Face in Mobile Phones
    Yaojie Liu, Joel Stehouwer, Amin Jourabloo, Yousef Atoum, Xiaoming Liu
    Selfie Biometrics, Ajita Rattani, Reza Derakhshani and Arun Ross, Eds., Springer, 2019
    Bibtex | PDF | Project Webpage
  • @incollection{ presentation-attack-detection-for-face-in-mobile-phones,
      author = { Yaojie Liu and Joel Stehouwer and Amin Jourabloo and Yousef Atoum and Xiaoming Liu },
      title = { Presentation Attack Detection for Face in Mobile Phones },
      in book chapter of = { Selfie Biometrics },
      publisher = { Springer },
      editor = { Ajita Rattani, Reza Derakhshani and Arun Ross },
      year = { 2019 },
    }
  • Deep Tree Learning for Zero-shot Face Anti-Spoofing
    Yaojie Liu, Joel Stehouwer, Amin Jourabloo, Xiaoming Liu
    In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, Jun. 2019 (Oral Presentation, Best Paper Award Finalist)
    Bibtex | PDF | arXiv | Poster | Project Webpage | Code | Video
  • @inproceedings{ deep-tree-learning-for-zero-shot-face-anti-spoofing,
      author = { Yaojie Liu and Joel Stehouwer and Amin Jourabloo and Xiaoming Liu },
      title = { Deep Tree Learning for Zero-shot Face Anti-Spoofing },
      booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
      address = { Long Beach, CA },
      month = { June },
      year = { 2019 },
    }

2018

  • Face De-Spoofing: Anti-Spoofing via Noise Modeling
    Amin Jourabloo*, Yaojie Liu*, Xiaoming Liu
    Proc. European Conference on Computer Vision (ECCV 2018), Munich, Germany, Sep. 2018
    Bibtex | PDF | arXiv | Poster | Project Webpage | Code
  • @inproceedings{ face-de-spoofing-anti-spoofing-via-noise-modeling,
      author = { Amin Jourabloo* and Yaojie Liu* and Xiaoming Liu },
      title = { Face De-Spoofing: Anti-Spoofing via Noise Modeling },
      booktitle = { Proc. European Conference on Computer Vision },
      address = { Munich, Germany },
      month = { September },
      year = { 2018 },
    }
  • Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision
    Yaojie Liu*, Amin Jourabloo*, Xiaoming Liu
    In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, Jun. 2018
    Bibtex | PDF | arXiv | Poster | Project Webpage | Code
  • @inproceedings{ learning-deep-models-for-face-anti-spoofing-binary-or-auxiliary-supervision,
      author = { Yaojie Liu* and Amin Jourabloo* and Xiaoming Liu },
      title = { Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision },
      booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
      address = { Salt Lake City, UT },
      month = { June },
      year = { 2018 },
    }

2017

  • Do Convolutional Neural Networks Learn Class Hierarchy?
    Alsallakh Bilal, Amin Jourabloo, Mao Ye, Xiaoming Liu, Liu Ren
    IEEE Transactions on Visualization and Computer Graphics (TVCG) = Proc. of IEEE Conference on Visual Analytics Science and Technology (VAST), Vol. 24, No. 1, pp.152-162, Phoenix, AZ, Oct. 2017
    Bibtex | PDF
  • @article{ do-convolutional-neural-networks-learn-class-hierarchy,
      author = { Alsallakh Bilal and Amin Jourabloo and Mao Ye and Xiaoming Liu and Liu Ren },
      title = { Do Convolutional Neural Networks Learn Class Hierarchy? },
      journal = { IEEE Transactions on Visualization and Computer Graphics (TVCG) = Proc. of IEEE Conference on Visual Analytics Science and Technology (VAST) },
      volume = { 24 },
      number = { 1 },
      month = { October },
      year = { 2017 },
      pages = { 152--162 },
    }
  • Pose-Invariant Face Alignment via CNN-based Dense 3D Model Fitting
    Amin Jourabloo, Xiaoming Liu
    International Journal of Computer Vision, Vol. 124, No. 2, pp.187-203, , Apr. 2017
    Bibtex | PDF | Project Webpage
  • @article{ pose-invariant-face-alignment-via-cnn-based-dense-3d-model-fitting,
      author = { Amin Jourabloo and Xiaoming Liu },
      title = { Pose-Invariant Face Alignment via CNN-based Dense 3D Model Fitting },
      journal = { International Journal of Computer Vision },
      volume = { 124 },
      number = { 2 },
      month = { April },
      year = { 2017 },
      pages = { 187--203 },
    }
  • Pose-Invariant Face Alignment with a Single CNN
    Amin Jourabloo, Xiaoming Liu, Mao Ye, Liu Ren
    In Proceeding of International Conference on Computer Vision (ICCV 2017), Venice, Italy, Oct. 2017
    Bibtex | PDF | Project Webpage
  • @inproceedings{ pose-invariant-face-alignment-with-a-single-cnn,
      author = { Amin Jourabloo and Xiaoming Liu and Mao Ye and Liu Ren },
      title = { Pose-Invariant Face Alignment with a Single CNN },
      booktitle = { In Proceeding of International Conference on Computer Vision },
      address = { Venice, Italy },
      month = { October },
      year = { 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 | Poster | Project Webpage | Code
  • @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 | Poster | 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 },
    }

2016

  • Large-pose Face Alignment via CNN-based Dense 3D Model Fitting
    Amin Jourabloo, Xiaoming Liu
    Proc. IEEE Computer Vision and Pattern Recogntion (CVPR 2016), Las Vegas, NV, Jun. 2016
    Bibtex | PDF | Poster | Project Webpage
  • @inproceedings{ large-pose-face-alignment-via-cnn-based-dense-3d-model-fitting,
      author = { Amin Jourabloo and Xiaoming Liu },
      title = { Large-pose Face Alignment via CNN-based Dense 3D Model Fitting },
      booktitle = { Proc. IEEE Computer Vision and Pattern Recogntion },
      address = { Las Vegas, NV },
      month = { June },
      year = { 2016 },
    }

2015

  • Pose-Invariant 3D Face Alignment
    Amin Jourabloo, Xiaoming Liu
    Proc. International Conference on Computer Vision (ICCV 2015), Santiago, Chile, Dec. 2015
    Bibtex | PDF | Poster | Project Webpage
  • @inproceedings{ pose-invariant-3d-face-alignment,
      author = { Amin Jourabloo and Xiaoming Liu },
      title = { Pose-Invariant 3D Face Alignment },
      booktitle = { Proc. International Conference on Computer Vision },
      address = { Santiago, Chile },
      month = { December },
      year = { 2015 },
    }
  • Attribute Preserved Face De-identification
    Amin Jourabloo, Xi Yin, Xiaoming Liu
    Proc. 8th IAPR International Conference on Biometrics (ICB 2015), Phuket, Thailand, May. 2015 (equal contribution by first two authors)
    Bibtex | PDF | Project Webpage
  • @inproceedings{ attribute-preserved-face-de-identification,
      author = { Amin Jourabloo and Xi Yin and Xiaoming Liu },
      title = { Attribute Preserved Face De-identification },
      booktitle = { Proc. 8th IAPR International Conference on Biometrics },
      address = { Phuket, Thailand },
      month = { May },
      year = { 2015 },
    }