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] Pre-training strategies and datasets for facial representation learning
    European Conference on Computer Vision (ECCV), 2022

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    @inproceedings{bulat2022pre,
      title={Pre-training strategies and datasets for facial representation learning},
      author={Bulat, Adrian and Cheng, Shiyang and Yang, Jing and Garbett, Andrew and Sanchez, Enrique and Tzimiropoulos, Georgios},
      journal={ECCV},
      year={2022}
    }
  • [New] EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers
    European Conference on Computer Vision (ECCV), 2022

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    @inproceedings{pan2022edgevits,
      title={EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers},
      author={Pan, Junting and Bulat, Adrian and Tan, Fuwen and Zhu, Xiatian and Dudziak, Lukasz and Li, Hongsheng and Tzimiropoulos, Georgios and Martinez, Brais},
     booktitle={arXiv preprint arXiv:2205.03436},
      year={2022}
    }
    
  • [New] Space-time Mixing Attention for Video Transformer
    Advances in Neural Information Processing Systems (NeurIPS), 2021

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    @inproceedings{bulat2021space,
      title={Space-time Mixing Attention for Video Transformer},
      author={Bulat, Adrian and Perez-Rua, Juan-Manuel and Sudhakaran, Swathikiran and Martinez, Brais and Tzimiropoulos, Georgios},
      booktitle={International Conference on Learning Representations (ICLR)},
      year={2021}
    }
  • [New] Bit-Mixer: Mixed-precision networks with runtime bit-width selection
    International Conference on Computer Vision (ICCV), 2021

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    @inproceedings{bulat2021bit,
      title={Bit-Mixer: Mixed-precision networks with runtime bit-width selection},
      author={Bulat, Adrian and Tzimiropoulos, Georgios},
      booktitle={International Conference on Computer Vision},
      year={2021}
    }
  • [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] Subpixel Heatmap Regression for Facial Landmark Localization
    British Machine Vision Conference (BMVC), 2021

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    @inproceedings{bulat2021subpixel,
      title={Subpixel Heatmap Regression for Facial Landmark Localization},
      author={Bulat, Adrian and Sanchez, Enrique and Tzimiropoulos, Georgios},
      booktitle={Proceedings of the British Machine Vision Conference (BMVC)},
      year={2021}
    }
    
  • 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}
    }
  • 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}
    }