Adrian Bulat

Adrian Bulat

Research Scientist
Adrian Bulat is a Research Scientist at Samsung AI Cambridge. Previously, he received his PhD from the University of Nottingham where he worked with Dr. Georgios Tzimiropoulos as part of the Computer Vision Laboratory. His current research interests lie at the intersection of Computer Vision and Machine Learning.

Newest 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] 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}
    }
  • [New] 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}
    }
  • [New] 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}
    }