1. 

   Controllable and Guided Face Synthesis for Unconstrained Face Recognition

   Feng Liu, Minchul Kim, Anil Jain, Xiaoming Liu

   Although significant advances have been made in face recognition (FR), FR in unconstrained environments remains challenging due to the domain gap between the semi-constrained training datasets and unconstrained testing scenarios. To address this problem, we propose a controllable face synthesis model (CFSM) that can mimic the distribution of target datasets ...

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   Keywords: Face Recognition, Face Synthesis, Biometrics

2. 

   AdaFace: Quality Adaptive Margin for Face Recognition

   Minchul Kim, Anil K. Jain, Xiaoming Liu

   Recognition in low quality face datasets is challenging because facial attributes are obscured and degraded. Advances in margin-based loss functions have resulted in enhanced discriminability of faces in the embedding space. Further, previous studies have studied the effect of adaptive losses to assign more importance to misclassified (hard) examples. In ...

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   Keywords: Face recognition, Biometrics

2022

• Cluster and Aggregate: Face Recognition with Large Probe Set
  Minchul Kim, Feng Liu, Anil Jain, Xiaoming Liu
  In Proceeding of Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, Dec. 2022
  Bibtex | arXiv
@inproceedings{ cluster-and-aggregate-face-recognition-with-large-probe-set,
  author = { Minchul Kim and Feng Liu and Anil Jain and Xiaoming Liu },
  title = { Cluster and Aggregate: Face Recognition with Large Probe Set },
  booktitle = { In Proceeding of Thirty-sixth Conference on Neural Information Processing Systems },
  address = { New Orleans, LA },
  month = { December },
  year = { 2022 },
}
• Controllable and Guided Face Synthesis for Unconstrained Face Recognition
  Feng Liu, Minchul Kim, Anil Jain, Xiaoming Liu
  In Proceeding of European Conference on Computer Vision (ECCV 2022), Tel-Aviv, Israel, Oct. 2022
  Bibtex | PDF | arXiv | Supplemental | Project Webpage | Code
@inproceedings{ controllable-and-guided-face-synthesis-for-unconstrained-face-recognition,
  author = { Feng Liu and Minchul Kim and Anil Jain and Xiaoming Liu },
  title = { Controllable and Guided Face Synthesis for Unconstrained Face Recognition },
  booktitle = { In Proceeding of European Conference on Computer Vision },
  address = { Tel-Aviv, Israel },
  month = { October },
  year = { 2022 },
}
• AdaFace: Quality Adaptive Margin for Face Recognition
  Minchul Kim, Anil K. Jain, Xiaoming Liu
  In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, Jun. 2022 (Oral presentation)
  Bibtex | PDF | arXiv | Supplemental | Project Webpage | Code
@inproceedings{ adaface-quality-adaptive-margin-for-face-recognition,
  author = { Minchul Kim and Anil K. Jain and Xiaoming Liu },
  title = { AdaFace: Quality Adaptive Margin for Face Recognition },
  booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
  address = { New Orleans, LA },
  month = { June },
  year = { 2022 },
}