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Face Reconstruction

  1. summary image

    Disentangled Representation Learning GAN for Pose-Invariant Face Recognition

    Luan Tran, Xi Yin, Xiaoming Liu

    The large pose discrepancy between two face images is one of the fundamental challenges in automatic face recognition. Conventional approaches to pose-invariant face recognition either perform face frontalization on, or learn a pose-invariant representation from, a non-frontal face image. We argue that it is more desirable to perform both tasks ...

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    Keywords: Face Recognition, Face Reconstruction

  2. summary image

    Towards Large-Pose Face Frontalization in the Wild

    Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker

    Despite recent advances in face recognition using deep learning, severe accuracy drops are observed for large pose variations in unconstrained environments. Learning pose-invariant features is one solution, but needs expensively labeled large scale data and carefully designed feature learning algorithms. In this work, we focus on frontalizing faces in the ...

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    Keywords: Face Recognition, Face Reconstruction

2016

  • Adaptive 3D Face Reconstruction from Unconstrained Photo Collections
    Joseph Roth, Yiying Tong, Xiaoming Liu
    IEEE Transactions on Pattern Analysis and Machine Intelligence, , Dec. 2016
    Bibtex | PDF | Project Webpage
  • @article{ adaptive-3d-face-reconstruction-from-unconstrained-photo-collections,
      author = { Joseph Roth and Yiying Tong and Xiaoming Liu },
      title = { Adaptive 3D Face Reconstruction from Unconstrained Photo Collections },
      booktitle = { IEEE Transactions on Pattern Analysis and Machine Intelligence },
      month = { December },
      year = { 2016 },
    }
  • Joint Face Alignment and 3D Face Reconstruction
    Feng Liu, Dan Zeng, Qijun Zhao, Xiaoming Liu
    Proc. European Conference on Computer Vision (ECCV 2016), Amsterdam, The Netherlands, Oct. 2016 (Spotlight presentation)
    Bibtex | PDF
  • @inproceedings{ joint-face-alignment-and-3d-face-reconstruction,
      author = { Feng Liu and Dan Zeng and Qijun Zhao and Xiaoming Liu },
      title = { Joint Face Alignment and 3D Face Reconstruction },
      booktitle = { Proc. European Conference on Computer Vision },
      address = { Amsterdam, The Netherlands },
      month = { October },
      year = { 2016 },
    }
  • Adaptive 3D Face Reconstruction from Unconstrained Photo Collections
    Joseph Roth, Yiying Tong, Xiaoming Liu
    Proc. IEEE Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, Jun. 2016
    Bibtex | PDF | Poster | Project Webpage
  • @inproceedings{ adaptive-3d-face-reconstruction-from-unconstrained-photo-collections,
      author = { Joseph Roth and Yiying Tong and Xiaoming Liu },
      title = { Adaptive 3D Face Reconstruction from Unconstrained Photo Collections },
      booktitle = { Proc. IEEE Computer Vision and Pattern Recognition },
      address = { Las Vegas, NV },
      month = { June },
      year = { 2016 },
    }

2015

  • Unconstrained 3D Face Reconstruction
    Joseph Roth, Yiying Tong, Xiaoming Liu
    Proc. IEEE Computer Vision and Pattern Recognition (CVPR 2015), Bostan, MA, Jun. 2015 (Acceptance rate 28%)
    Bibtex | PDF | Poster | Project Webpage
  • @inproceedings{ unconstrained-3d-face-reconstruction,
      author = { Joseph Roth and Yiying Tong and Xiaoming Liu },
      title = { Unconstrained 3D Face Reconstruction },
      booktitle = { Proc. IEEE Computer Vision and Pattern Recognition },
      address = { Bostan, MA },
      month = { June },
      year = { 2015 },
    }