Adrian Bulat

Adrian Bulat

Research Scientist
I am currently an AI Research Scientist. Previously, I did my PhD studies at the University of Nottingham part of the Computer Vision Laboratory under the supervision of Dr. Georgios Tzimiropoulos. My current interests are in deep learning and key points localisation.

Newest Publications

  • [New] Incremental multi-domain learning with network latent tensor factorization
    AAAI Conference on Artificial Intelligence, 2020

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    @inprocessings{bulat2020incremental,
      title={Incremental multi-domain learning with network latent tensor factorization},
      author={Bulat, Adrian and Kossaifi, Jean and Tzimiropoulos, Georgios and Pantic, Maja},
      booktitle={AAAI Conference on Artificial Intelligence},
      year={2020}
    }
  • [New] FAN-Face: a Simple Orthogonal Improvement to Deep Face Recognition
    AAAI Conference on Artificial Intelligence, 2020

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    @inprocessings{yang2020fan,
      title={FAN-Face: a Simple Orthogonal Improvement to Deep Face Recognition},
      author={Yang, Jing and Bulat, Adrian and Tzimiropoulos, Georgios},
      booktitle={AAAI Conference on Artificial Intelligence},
      year={2020}
    }
  • [New] Training binary neural networks with real-to-binary convolutions
    International Conference on Learning Representations (ICLR), 2020

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    @incollection{martinez2020training,
      title={Training binary neural networks with real-to-binary convolutions},
      author={Martinez, Brais and Yang, Jing and Bulat, Adrian and Tzimiropoulos, Georgios},
      booktitle={ICLR},
      year={2020}
    }
  • [New] XNOR-Net++: Improved binary neural networks
    British Machine Vision Conference (BMVC), 2019

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    @inprocessings{bulat2019xnor-net-plus,
      title={XNOR-Net++: Improved binary neural networks},
        author={Bulat, Adrian and Tzimiropoulos, Georgios},
        booktitle={British Machine Vision Conference},
        year={2016}
    }
  • [New] T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

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    @article{kossaifi2019t,
      title={T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor},
      author={Kossaifi, Jean and Bulat, Adrian and Tzimiropoulos, Georgios and Pantic, Maja},
      journal={arXiv preprint arXiv:1904.02698},
      year={2019}
    }
  • Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 (SPOTLIGHT)

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    @article{bulat2017super,
        title={Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs},
        author={Bulat, Adrian and Tzimiropoulos, Georgios},
        journal={arXiv preprint arXiv:1712.02765},
        year={2017}
    }
  • To learn image super-resolution, use a GAN to learn how to do image degradation first
    European Conference on Computer Vision (ECCV), 2018

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    @article{bulatyang2018learn,
         title={To learn image super-resolution, use a GAN to learn how to do image degradation first},
         author={Bulat, Adrian and Yang, Jing and Tzimiropoulos, Georgios},
         journal={European Conference on Computer Vision},
         year={2018}
     }
  • Hierarchical binary CNNs for landmark localization with limited resources
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018 - Best of ICCV17 SI

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    @article{bulat2018hierarchical,
         title={Hierarchical binary CNNs for landmark localization with limited resources},
         author={Bulat, Adrian and Tzimiropoulos, Georgios},
         journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
         year={2018}
     }
  • Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression
    International Conference on Computer Vision (ICCV), 2017

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    @inproceedings{jackson2017large,
        title={Large pose 3D face reconstruction from a single image via direct volumetric CNN regression},
        author={Jackson, Aaron S and Bulat, Adrian and Argyriou, Vasileios and Tzimiropoulos, Georgios},
        booktitle={Computer Vision (ICCV), 2017 IEEE International Conference on},
        pages={1031--1039},
        year={2017},
        organization={IEEE}
    }
  • How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)
    International Conference on Computer Vision (ICCV), 2017

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    @inproceedings{bulat2017far,
        title={How far are we from solving the 2d \& 3d face alignment problem?(and a dataset of 230,000 3d facial landmarks)},
        author={Bulat, Adrian and Tzimiropoulos, Georgios},
        booktitle={International Conference on Computer Vision},
        volume={1},
        number={6},
        pages={8},
        year={2017}
    }