Publications

  • [New] High-Capacity Expert Binary Networks
    International Conference on Learning Representations (ICLR), 2021

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    @inproceedings{bulat2021high,
      title={High-Capacity Expert Binary Networks},
      author={Bulat, Adrian and Martinez, Brais and Tzimiropoulos, Georgios},
      booktitle={International Conference on Learning Representations (ICLR)},
      year={2021}
    }
  • [New] Improving memory banks for unsupervised learning with large mini-batch,consistency and hard negative mining
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021

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    @inproceedings{bulat2021improving,
      title={Improving memory banks for unsupervised learning with large mini-batch,consistency and hard negative mining},
      author={Bulat, Adrian and Sanchez, Enrique and Tzimiropoulos, Georgios},
      booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
      year={2021}
    }
  • [New] Knowledge Distillation via Softmax Regression Representation Learning
    International Conference on Learning Representations (ICLR), 2021

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    @inproceedings{yang2021knowledge,
      title={Knowledge distillation via softmax regression representation learning},
      author={Yang, J and Martinez, B and Bulat, A and Tzimiropoulos, G and others},
      year={2021},
      organization={International Conference on Learning Representations (ICLR)}
    }
  • [New] Estimation of continuous valence and arousal levels from faces in naturalistic conditions
    Nature Machine Inteligence, 2021

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    @article{toisoul2021estimation,
      author  = {Antoine Toisoul and Jean Kossaifi and Adrian Bulat and Georgios Tzimiropoulos and Maja Pantic},
      title   = {Estimation of continuous valence and arousal levels from faces in naturalistic conditions},
      journal = {Nature Machine Intelligence},
      year    = {2021},
      url     = {https://www.nature.com/articles/s42256-020-00280-0}
    }
  • [New] BATS: Binary ArchitecTure Search
    European Conference on Computer Vision (ECCV), 2020

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    @inproceedings{bulat2020bats,
      title={BATS: Binary ArchitecTure Search},
      author={Bulat, Adrian and Martinez, Brais and Tzimiropoulos, Georgios},
      booktitle={European Conference on Computer Vision (ECCV)},
      year={2020}
    }
  • 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}
    }
  • Toward fast and accurate human pose estimation via soft-gated skip connections
    IEEE International Conference on Automatic Face & Gesture Recognition (FG), 2020 (ORAL)

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    @inproceedings{bulat2020toward,
      title={Toward fast and accurate human pose estimation via soft-gated skip connections},
      author={Bulat, Adrian and Kossaifi, Jean and Tzimiropoulos, Georgios and Pantic, Maja},
      booktitle={2020 15th IEEE International Conference on Automatic Face \& Gesture Recognition},
      year={2020}
    }
  • Semi-supervised AU Intensity Estimation with Contrastive Learning
    Asian Conference on Computer Vision (ACCV), 2020

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    @inproceedings{sanchez2020semi,
      title={Semi-supervised AU Intensity Estimation with Contrastive Learning},
      author={Sanchez, Enrique and Bulat, Adrian and Zaganidis, Anestis and Tzimiropoulos, Georgios},
      booktitle={Proceedings of the Asian Conference on Computer Vision (ACCV)},
      year={2020}
    }
  • 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}
    }
  • 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}
    }
  • Factorized Higher-Order CNNs with an Application to Spatio-Temporal Emotion Estimation
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020

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    @inproceedings{kossaifi2020factorized,
      title={Factorized Higher-Order CNNs with an Application to Spatio-Temporal Emotion Estimation},
      author={Kossaifi, Jean and Toisoul, Antoine and Bulat, Adrian and Panagakis, Yannis and Hospedales, Timothy M and Pantic, Maja},
      booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
      pages={6060--6069},
      year={2020}
    }
  • 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}
    }
  • 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}
    }
  • 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}
     }
  • 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}
    }
  • 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}
    }
  • Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources
    International Conference on Computer Vision (ICCV), 2017 (ORAL)

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    @inproceedings{bulat2017binarized,
        title={Binarized convolutional landmark localizers for human pose estimation and face alignment with limited resources},
        author={Bulat, Adrian and Tzimiropoulos, Georgios},
        booktitle={The IEEE International Conference on Computer Vision (ICCV)},
        volume={1},
        number={2},
        pages={4},
        year={2017}
    }
  • Two-stage convolutional part heatmap regression for the 1st 3d face alignment in the wild (3DFAW) challenge
    European Conference on Computer Vision Workshop (ECCV-W), 2016 (Challenge Winners)

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    @inproceedings{bulat2016two,
        title={Two-stage convolutional part heatmap regression for the 1st 3d face alignment in the wild (3dfaw) challenge},
        author={Bulat, Adrian and Tzimiropoulos, Georgios},
        booktitle={European Conference on Computer Vision},
        pages={616--624},
        year={2016},
        organization={Springer}
    }
  • Human pose estimation via convolutional part heatmap regression
    European Conference on Computer Vision (ECCV), 2016

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    @inproceedings{bulat2016human,
        title={Human pose estimation via convolutional part heatmap regression},
        author={Bulat, Adrian and Tzimiropoulos, Georgios},
        booktitle={European Conference on Computer Vision},
        pages={717--732},
        year={2016},
        organization={Springer}
    }
  • Convolutional aggregation of local evidence for large pose face alignment
    British Machine Vision Conference (BMVC), 2016

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    @inproceedings{bulat2016convolutional,
        title={Convolutional aggregation of local evidence for large pose face alignment},
        author={Bulat, Adrian and Tzimiropoulos, Georgios},
        booktitle={British Machine Vision Conference},
        year={2016}
    }