Research

Action recognition

  1. Few-shot Action Recognition with Prototype-centered Attentive Learning. bibtex J.M. Pérez-Rúa, B. Martinez, X. Zhu, A. Toisoul, V. Escorcia, T. Xiang. In British Machine Vision Conference (BMVC), 2021. 
    @InProceedings{w3_CVPR21,
author = {J.M. Pérez-Rúa, B. Martinez, X. Zhu, A. Toisoul, V. Escorcia, T. Xiang},
title = {Few-shot Action Recognition with Prototype-centered Attentive Learning},
booktitle = {British Machine Vision Conference (BMVC)},
year = {2021}
}
  2. Egocentric Action Recognition by Video Attention and Temporal Context. bibtex link J. Perez-Rua and A. Toisoul and B. Martinez and V. Escorcia and L. Zhang and X. Zhu and T. Xiang. In EPIC-Kitchens challenge, CVPR Workshops, 2020. 
    @article{perezrua_cvprw20,
  author    = {J. Perez-Rua and A. Toisoul and B. Martinez and V. Escorcia and L. Zhang and X. Zhu and T. Xiang},
  title     = {Egocentric Action Recognition by Video Attention and Temporal Context},
  journal   = {EPIC-Kitchens challenge, CVPR Workshops},
  year      = {2020},
  url       = {https://arxiv.org/abs/2007.01883},
}
  3. Knowing What, Where and When to Look: Efficient Video Action Modeling with Attention. bibtex link J. Perez{-}Rua and B. Martinez and X. Zhu and A. Toisoul and V. Escorcia and T. Xiang. In arXiv:2004.01278, 2020. 
    @article{perezrua_arxiv20,
  author    = {J. Perez{-}Rua and B. Martinez and X. Zhu and A. Toisoul and V. Escorcia and T. Xiang},
  title     = {Knowing What, Where and When to Look: Efficient Video Action Modeling
               with Attention},
  journal   = {arXiv:2004.01278},
  year      = {2020},
  url       = {https://arxiv.org/abs/2004.01278},
}
  4. Action Recognition With Spatial-Temporal Discriminative Filter Banks. bibtex B. Martinez, D. Modolo, and Y. Xiong and J. Tighe. In IEEE International Conference on Computer Vision (ICCV), 2019. 
    @InProceedings{Martinez_2019_ICCV,
author = {B. Martinez, D. Modolo, and Y. Xiong and J. Tighe},
title = {Action Recognition With Spatial-Temporal Discriminative Filter Banks},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2019}
}

Binary Neural Networks

  1. High-Capacity Expert Binary Networks. bibtex A. Bulat, B. Martinez, G. Tzimiropoulos. In International Conference on Learning Representations (ICLR), 2021. 
    @article{bulat_iclr21,
  author    = {A. Bulat, B. Martinez, G. Tzimiropoulos},
  title = {High-Capacity Expert Binary Networks},
  journal = {International Conference on Learning Representations (ICLR)},
  year  = {2021}
}
  2. BATS: Binary ArchitecTure Search. bibtex A. Bulat and B. Martinez and G. Tzimiropoulos. In European Conf. on Computer Vision (ECCV), 2020. 
    @article{adrian_eccv20,
  author    = {A. Bulat and B. Martinez and G. Tzimiropoulos},
  title     = {BATS: Binary ArchitecTure Search},
  journal   = {European Conf. on Computer Vision (ECCV)},
  year      = {2020}
}
  3. Training binary neural networks with real-to-binary convolutions. bibtex B. Martinez and J. Yang, and A. Bulat and Y. Tzimiropoulos. In International Conference on Learning Representations (ICLR), 2020. 
    @InProceedings{Martinez_2020ICLR,
author = {B. Martinez and J. Yang, and A. Bulat and Y. Tzimiropoulos},
title = {Training binary neural networks with real-to-binary convolutions},
booktitle = {International Conference on Learning Representations (ICLR)},
year = {2020}
}

Lipreading

  1. Towards practical lipreading with distilled and efficient models. pdf bibtex P. Ma*, B. Martinez*, S. Petridis, M. Pantic. In Int’l Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2021. 
    @article{jing_eccv20,
  author    = {P. Ma*, B. Martinez*, S. Petridis, M. Pantic},
  title     = {Towards practical lipreading with distilled and efficient models},
  journal   = {Int’l Conf. on Acoustics, Speech, and Signal Processing (ICASSP)},
  year      = {2021}
}
  2. Lipreading using Temporal Convolutional Networks. bibtex B. Martinez, P. Ma, S. Petridis, M. Pantic. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020. 
    @InProceedings{Martinez_2020ICLR,
    author = {B. Martinez, P. Ma, S. Petridis, M. Pantic},
    title = {Lipreading using Temporal Convolutional Networks},
    booktitle = {International Conference on Acoustics, Speech, and Signal Processing (ICASSP)}, 
    year = {2020}
}

Knowledge Distillation

  1. Knowledge distillation via softmax regression representation learning. bibtex link J. Yang, B. Martinez, A. Bulat, G. Tzimiropoulos. In International Conference on Learning Representations (ICLR), 2021. 
    @article{jang_iclr21,
  author    = {J. Yang, B. Martinez, A. Bulat, G. Tzimiropoulos},
  title = {Knowledge distillation via softmax regression representation learning},
  journal = {International Conference on Learning Representations (ICLR)},
  year  = {2021},
  url = {https://github.com/jingyang2017/KD_SRRL}
}

Face Analysis

  1. A Functional Regression approach to Facial Landmark Tracking. bibtex E. Sánchez-Lozano and G. Tzimiropoulos and B. Martinez and F. de la Torre and M. Valstar. In IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), vol. 40, number 9, 2018. 
    @ARTICLE{2018tpami, 
author={E. Sánchez-Lozano and G. Tzimiropoulos and B. Martinez and F. de la Torre and M. Valstar}, 
journal={IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI)}, 
title={A Functional Regression approach to Facial Landmark Tracking}, 
year={2018},
volume={40},
number={9},
pages={2037-2050},
}
  2. Automatic Analysis of Facial Actions: A Survey. bibtex B. Martinez and M. F. Valstar and B. Jiang and M. Pantic. In IEEE Transactions on Affective Computing, vol. 10, number 3, 2019. 
    @ARTICLE{2019tac, 
author={B. Martinez and M. F. Valstar and B. Jiang and M. Pantic}, 
journal={IEEE Transactions on Affective Computing}, 
title={Automatic Analysis of Facial Actions: A Survey}, 
  volume    = {10},
  number    = {3},
pages     = {325--347},
year={2019}
}
  3. Cascaded Continuous Regression for Real-time Incremental Face Tracking. bibtex E. Sánchez-Lozano,, B. Martinez, G. Tzimiropoulos and M.F. Valstar. In European Conference on Computer Vision (ECCV), 2016. 
    @inproceedings{sanchez16,
  author    = {E. Sánchez-Lozano,, B. Martinez, G. Tzimiropoulos and M.F. Valstar},
  title     = {Cascaded Continuous Regression for Real-time Incremental Face Tracking},
  booktitle = {European Conference on Computer Vision (ECCV)},
  year      = {2016}
}
  4. Learning to transfer: transferring latent task structures and its application to person-specific facial action unit detection. pdf bibtex T. Almaev, B. Martinez and M.F. Valstar. In IEEE International Conference on Computer Vision (ICCV), 2015. 
    @inproceedings{almaev15,
  author    = {T. Almaev, B. Martinez and M.F. Valstar},
  title     = {Learning to transfer: transferring latent task structures and its application to person-specific facial action unit detection},
  booktitle = {IEEE International Conference on Computer Vision (ICCV)},
  year      = {2015}
}
  5. A Dynamic Appearance Descriptor Approach to Facial Actions Temporal Modelling. pdf bibtex link B. Jiang, M. F. Valstar, B. Martinez and M. Pantic. In IEEE Transactions on Cybernetics, vol. 44, number 2, 2014. 
    @article{JiangEtAl13,
    author = {B. Jiang, M. F. Valstar, B. Martinez and M. Pantic},
    journal = {IEEE Transactions on Cybernetics},
    volume = {44},
    number = {2},
    pages = {161--174},
    title = {A Dynamic Appearance Descriptor Approach to Facial Actions Temporal Modelling},
    year = {2014},
    url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6504484}
}