3D Face Modeling | 3D Object Detection | 3D Shape Correspondence | 3D Shape Reconstruction | Activity Recognition | Application | Biometrics | Camera Calibration | Data Imputation | Database | Deepfake | Depth Completion | Depth Prediction | Domain Adaptation | Expression Recognition | Face Alignment | Face Antispoofing | Face Deidentification | Face Recognition | Face Reconstruction | Face Relighting | Face Synthesis | Forecasting | Forensics | Gait Recognition | Generic Object 3D Reconstruction | Image Alignment | Image Forgery | Image Segmentation | Low-level Vision | Medical Imaging | Motion Compensation | Multi-modality | Multimedia Retrieval | Object Detection | Pedestrian Detection | Plant Vision | Semantic Segmentation | Sensor Fusion | Sequence Alignment | Surveillance | Tracking | Typing Behavior | Video

Face Synthesis

  1. summary image

    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. 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, Surveillance, 3D Face Modeling, Biometrics, Face Synthesis

  3. 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, 3D Face Modeling, 3D Shape Reconstruction, Face Synthesis, Biometrics

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 },
    }

2018

  • Representation Learning by Rotating Your Faces
    Luan Tran, Xi Yin, Xiaoming Liu
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 41, No. 12, pp.3007-3021, , Sep. 2018
    Bibtex | PDF | arXiv | Project Webpage | Code
  • @article{ representation-learning-by-rotating-your-faces,
      author = { Luan Tran and Xi Yin and Xiaoming Liu },
      title = { Representation Learning by Rotating Your Faces },
      journal = { IEEE Transactions on Pattern Analysis and Machine Intelligence },
      volume = { 41 },
      number = { 12 },
      month = { September },
      year = { 2018 },
      pages = { 3007--3021 },
    }

2017

  • Towards Large-Pose Face Frontalization in the Wild
    Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker
    In Proceeding of International Conference on Computer Vision (ICCV 2017), Venice, Italy, Oct. 2017
    Bibtex | PDF | arXiv | Supplemental | Poster | Project Webpage
  • @inproceedings{ towards-large-pose-face-frontalization-in-the-wild,
      author = { Xi Yin and Xiang Yu and Kihyuk Sohn and Xiaoming Liu and Manmohan Chandraker },
      title = { Towards Large-Pose Face Frontalization in the Wild },
      booktitle = { In Proceeding of International Conference on Computer Vision },
      address = { Venice, Italy },
      month = { October },
      year = { 2017 },
    }
  • Disentangled Representation Learning GAN for Pose-Invariant Face Recognition
    Luan Tran, Xi Yin, Xiaoming Liu
    In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, Jul. 2017 (Oral presentation)
    Bibtex | PDF | Project Webpage | Code
  • @inproceedings{ disentangled-representation-learning-gan-for-pose-invariant-face-recognition,
      author = { Luan Tran and Xi Yin and Xiaoming Liu },
      title = { Disentangled Representation Learning GAN for Pose-Invariant Face Recognition },
      booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
      address = { Honolulu, HI },
      month = { July },
      year = { 2017 },
    }