1. 

   Face Anti-spoofing, Face Presentation Attack Detection

   Yaojie Liu, Joel 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, Biometrics, Low-level Vision, Database

2. 

   Facial Forgery Detection

   Hao Dang*, Feng Liu*, Joel Stehouwer*, Xiaoming Liu, Anil Jain

   The prevalence of facial recognition, biometric unlock, and social media presents a significant opportunity for bad actors to introduce forged or manipulated images to spread false information or damage reputations. This is aided by the continuing improvement in realistic image synthesis and manipulation by generative adversarial network, GAN, based methods ...

   Continue reading

   Keywords: Image Manipulation, Low-level Vision, Database

3. 

   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: Low-level Vision, Database

2020

• On Disentangling Spoof Traces for Generic Face Anti-Spoofing
  Yaojie Liu, Joel Stehouwer, Xiaoming Liu
  In Proceeding of European Conference on Computer Vision (ECCV 2020), Virtual, Aug. 2020
  Bibtex | PDF | arXiv | Project Webpage | Code | Video
@inproceedings{ on-disentangling-spoof-traces-for-generic-face-anti-spoofing,
  author = { Yaojie Liu and Joel Stehouwer and Xiaoming Liu },
  title = { On Disentangling Spoof Traces for Generic Face Anti-Spoofing },
  booktitle = { In Proceeding of European Conference on Computer Vision },
  address = { Virtual },
  month = { August },
  year = { 2020 },
}
• On the Detection of Digital Face Manipulation
  Hao Dang*, Feng Liu*, Joel Stehouwer*, Xiaoming Liu, Anil Jain
  In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, Jun. 2020
  Bibtex | PDF | arXiv | Supplemental | Poster | Project Webpage | Code
@inproceedings{ on-the-detection-of-digital-face-manipulation,
  author = { Hao Dang* and Feng Liu* and Joel Stehouwer* and Xiaoming Liu and Anil Jain },
  title = { On the Detection of Digital Face Manipulation },
  booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
  address = { Seattle, WA },
  month = { June },
  year = { 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 },
}