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] ReGen: A good Generative zero-shot video classifier should be Rewarded
    International Conference on Computer Vision (ICCV), 2023

    Download Cite
    @inproceedings{bulat2023regen,
      title={ReGen: A good Generative zero-shot video classifier should be Rewarded},
      author={Bulat, Adrian and Sanchez, Enrique and Martinez, Brais and Tzimiropoulos, Georgios},
      booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
      pages={13523--13533},
      year={2023}
    }
  • [New] Black Box Few-Shot Adaptation for Vision-Language models
    International Conference on Computer Vision (ICCV), 2023

    Download Code Cite
    @inproceedings{ouali2023black,
      title={Black Box Few-Shot Adaptation for Vision-Language models},
      author={Ouali, Yassine and Bulat, Adrian and Martinez, Brais and Tzimiropoulos, Georgios},
      booktitle={Proceedings of the IEEE International Conference on Computer Vision (ICCV)},
      year={2023}
    }
  • [New] FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training
    International Conference on Computer Vision (ICCV), 2023

    Download Cite
    @inproceedings{bulat2023fs,
      title={FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training},
      author={Bulat, Adrian and Guerrero, Ricardo and Martinez, Brais and Tzimiropoulos, Georgios},
      booktitle={Proceedings of the IEEE International Conference on Computer Vision (ICCV)},
      year={2023}
    }
  • [New] Bayesian Prompt Learning for Image-Language Model Generalization
    International Conference on Computer Vision (ICCV), 2023

    Download Code Cite
    @inproceedings{derakhshani2023bayesian,
      title={Bayesian Prompt Learning for Image-Language Model Generalization},
      author={Derakhshani, Mohammad Mahdi and Sanchez, Enrique and Bulat, Adrian and da Costa, Victor G Turrisi and Snoek, Cees GM and Tzimiropoulos, Georgios and Martinez, Brais},
      booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
      pages={15237--15246},
      year={2023}
    }
  • [New] LASP: Text-to-Text Optimization for Language-Aware Soft Prompting of Vision & Language Models
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023

    Download Code Cite
    @inproceedings{bulat2023language,
      title={LASP: Text-to-Text Optimization for Language-Aware Soft Prompting of Vision & Language Models},
      author={Bulat, Adrian and Tzimiropoulos, Georgios},
      booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      year={2023}
    }
    
  • [New] Pre-training strategies and datasets for facial representation learning
    European Conference on Computer Vision (ECCV), 2022

    Download Code Cite
    @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

    Download Cite
    @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}
    }
    
  • Space-time Mixing Attention for Video Transformer
    Advances in Neural Information Processing Systems (NeurIPS), 2021

    Download Code Cite
    @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}
    }
  • Bit-Mixer: Mixed-precision networks with runtime bit-width selection
    International Conference on Computer Vision (ICCV), 2021

    Download Cite
    @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}
    }
  • High-Capacity Expert Binary Networks
    International Conference on Learning Representations (ICLR), 2021

    Download Code Cite
    @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}
    }