Publications

  • [New] CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs
    European Conference on Computer Vision (ECCV), 2024

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    @article{ouali2024clip,
      title={CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs},
      author={Ouali, Yassine and Bulat, Adrian and Martinez, Brais and Tzimiropoulos, Georgios},
      journal={European Conference on Computer Vision (ECCV)},
      year={2024}
    }
    
  • [New] You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation
    European Conference on Computer Vision (ECCV), 2024

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    @article{noroozi2024you,
      title={You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation},
      author={Noroozi, Mehdi and Hadji, Isma and Martinez, Brais and Bulat, Adrian and Tzimiropoulos, Georgios},
      journal={European Conference on Computer Vision (ECCV)},
      year={2024}
    }
    
  • [New] FFF: Fixing Flawed Foundations in contrastive pre-training results in very strong Vision-Language models
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024

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    @article{bulat2024fff,
      title={FFF: Fixing Flawed Foundations in contrastive pre-training results in very strong Vision-Language models},
      author={Bulat, Adrian and Ouali, Yassine and Tzimiropoulos, Georgios},
      journal={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      year={2024}
    }
    
  • ReGen: A good Generative zero-shot video classifier should be Rewarded
    International Conference on Computer Vision (ICCV), 2023

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    @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}
    }
  • Black Box Few-Shot Adaptation for Vision-Language models
    International Conference on Computer Vision (ICCV), 2023

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    @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}
    }
  • FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training
    International Conference on Computer Vision (ICCV), 2023

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    @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}
    }
  • Bayesian Prompt Learning for Image-Language Model Generalization
    International Conference on Computer Vision (ICCV), 2023

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    @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}
    }
  • LASP: Text-to-Text Optimization for Language-Aware Soft Prompting of Vision & Language Models
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023

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    @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}
    }
    
  • 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}
    }
  • 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}
    }
    
  • 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}
    }
  • 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}
    }
  • 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}
    }
  • 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}
    }
  • 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)}
    }
  • 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}
    }
  • 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}
    }