Publications

Selected Publications

  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}
    }
    
  2. 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}
    }
    
  3. 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}
    }
  4. 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}
    }
  5. 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}
    }
  6. 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},
    }
  7. 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}
    }
  8. TRIC-track: Tracking by Regression with Incrementally Learned Cascades. pdf bibtex X. Wang, M.F. Valstar, B. Martinez, H.M. Khan and T.P. Pridmore. In IEEE International Conference on Computer Vision (ICCV), 2015.
    @inproceedings{wang15,
      author    = {X. Wang, M.F. Valstar, B. Martinez, H.M. Khan and T.P. Pridmore},
      title     = {TRIC-track: Tracking by Regression with Incrementally Learned Cascades},
      booktitle = {IEEE International Conference on Computer Vision (ICCV)},
      year      = {2015}
    }
  9. 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}
    }
  10. Local Evidence Aggregation for Regression-Based Facial Point Detection. pdf bibtex B. Martinez, M. Valstar, X. Binefa and M. Pantic. In IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), vol. 35, number 5, 2013.
    @article{Martinez13,
      author    = {B. Martinez, M. Valstar, X. Binefa and M. Pantic},
      title     = {Local Evidence Aggregation for Regression-Based Facial Point
                   Detection},
      journal   = {IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI)},
      volume    = {35},
      number    = {5},
      year      = {2013},
      pages     = {1149-1163},
    }
  11. Facial Point Detection using Boosted Regression and Graph Models. pdf bibtex M. F. Valstar, B. Martinez, X. Binefa and M. Pantic. In IEEE Int'l Conf. Computer Vision and Pattern Recognition (CVPR), 2010.
    @inproceedings{Valstar2010fpdub,
        author = {M. F. Valstar, B. Martinez, X. Binefa and M. Pantic},
        booktitle = {IEEE Int'l Conf. Computer Vision and Pattern Recognition (CVPR)},
        title = {Facial Point Detection using Boosted Regression and Graph Models},
        year = {2010},
    }

Conferences

  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}
    }
    
  2. 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}
    }
    
  3. Few-shot Action Recognition with Prototype-centered Attentive Learning. bibtex X. Zhu and A. Toisoul and J. Perez-Rua and L. Zhang and B. Martinez and T. Xiang. In arXiv:2101.08085, 2021.
    @InProceedings{zhu_CVPR21,
    author = {X. Zhu and A. Toisoul and J. Perez-Rua and L. Zhang and B. Martinez and T. Xiang},
    title = {Few-shot Action Recognition with Prototype-centered Attentive Learning},
    booktitle = {arXiv:2101.08085},
    year = {2021}
    }
  4. 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}
    }
  5. 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}
    }
  6. 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}
    }
  7. 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}
    }
  8. Knowledge distillation via adaptive instance normalization. bibtex J. Yang, B. Martinez, A. Bulat, G. Tzimiropoulos. In arXiv:2003.04289, 2020.
    @article{jing_eccv20,
      author    = {J. Yang, B. Martinez, A. Bulat, G. Tzimiropoulos},
      title     = {Knowledge distillation via adaptive instance normalization},
      journal   = {arXiv:2003.04289},
      year      = {2020}
    }
  9. 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}
    }
  10. 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}
    }
  11. The Visual Object Tracking VOT2015 challenge results. pdf bibtex M. Kristan, J. Matas, A. Leonardis, M. Felsberg, L. Čehovin, G. Fernandez, T. Vojir, G. Häger, G. Nebehay, R. Pflugfelder, A. Gupta, A. Bibi, A. Lukežič, A. Garcia-Martin, A. Saffari, A. Petrosino, A. Solis Montero, A. Varfolomieiev, A. Baskurt, B. Zhao, B. Ghanem, B. Martinez et al. In Int'l Conf. on Computer Vision Workshops, 2015.
    @inproceedings{Kristan2015a,
    	author = {M. Kristan, J. Matas, A. Leonardis, M. Felsberg, L. Čehovin, G. Fernandez, T. Vojir, G. Häger, G. Nebehay, R. Pflugfelder, A. Gupta, A. Bibi, A. Lukežič, A. Garcia-Martin, A. Saffari, A. Petrosino, A. Solis Montero, A. Varfolomieiev, A. Baskurt, B. Zhao, B. Ghanem, B. Martinez et al.},
            booktitle = {Int'l Conf. on Computer Vision Workshops},
    	title = {The Visual Object Tracking VOT2015 challenge results},
    	year = {2015}
    }
    
  12. 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}
    }
  13. Learning to combine local models for Facial Action Unit detection. bibtex S. Jaiwand and B. Martinez and M.F. Valstar. In FERA workshop, in conj. with FG 2015, 2015.
    @inproceedings{jaiswal15,
       author = {S. Jaiwand and B. Martinez and M.F. Valstar},
       title = {Learning to combine local models for Facial Action
    Unit detection},
       booktitle = {FERA workshop, in conj. with FG 2015 },
       year = {2015}
    }
  14. TRIC-track: Tracking by Regression with Incrementally Learned Cascades. pdf bibtex X. Wang, M.F. Valstar, B. Martinez, H.M. Khan and T.P. Pridmore. In IEEE International Conference on Computer Vision (ICCV), 2015.
    @inproceedings{wang15,
      author    = {X. Wang, M.F. Valstar, B. Martinez, H.M. Khan and T.P. Pridmore},
      title     = {TRIC-track: Tracking by Regression with Incrementally Learned Cascades},
      booktitle = {IEEE International Conference on Computer Vision (ICCV)},
      year      = {2015}
    }
  15. Decision Level Fusion of Domain Specific Regions for Facial Action Recognition. pdf bibtex B. Jiang, B. Martinez, M. Valstar and M. Pantic. In IEEE International Conference on Pattern Recognition, 2014.
    @inproceedings{JiangICPR2014,
        author = {B. Jiang, B. Martinez, M. Valstar and M. Pantic},
        booktitle = {IEEE International Conference on Pattern Recognition},
        title = {Decision Level Fusion of Domain Specific Regions for Facial Action Recognition},
        year = {2014},
    }
  16. Parametric temporal alignment for the detection of facial action temporal segments. pdf bibtex B. Jiang and B. Martinez and M. Pantic. In British Machine Vision Conference, 2014.
    @inproceedings{JiangBMVC2014,
        author = {B. Jiang and B. Martinez and M. Pantic},
        booktitle = {British Machine Vision Conference},
        title = {Parametric temporal alignment for the detection of facial action temporal segments},
        year = {2014},
    }
  17. Facial Point Detection using Boosted Regression and Graph Models. pdf bibtex M. F. Valstar, B. Martinez, X. Binefa and M. Pantic. In IEEE Int'l Conf. Computer Vision and Pattern Recognition (CVPR), 2010.
    @inproceedings{Valstar2010fpdub,
        author = {M. F. Valstar, B. Martinez, X. Binefa and M. Pantic},
        booktitle = {IEEE Int'l Conf. Computer Vision and Pattern Recognition (CVPR)},
        title = {Facial Point Detection using Boosted Regression and Graph Models},
        year = {2010},
    }
  18. Facial Component Detection in Thermal Imagery. pdf bibtex B. Martinez, X. Binefa and M. Pantic. In Proceedings of IEEE Int'l Conf. Computer Vision and Pattern Recognition (CVPR-W), vol. 3, 2010.
    @inproceedings{Martinez2010fcdit,
        author = {B. Martinez, X. Binefa and M. Pantic},
        pages = {48--54},
        booktitle = {Proceedings of IEEE Int'l Conf. Computer Vision and Pattern Recognition (CVPR-W)},
        title = {Facial Component Detection in Thermal Imagery},
        volume = {3},
        year = {2010},
    }

Journals

  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. The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset. pdf bibtex link M.S.H. Aung, S. Kaltwang, B. Romera-Paredes, B. Martinez, A. Singh, M. Cella, M.F. Valstar, H. Meng, A. Kemp, M. Shafizadeh, A.C. Elkins, N. Kanakam, A. de Rothschild, N. Tyler, P.J. Watson, A.C. de C. Williams, M. Pantic and N. Bianchi-Berthouze. In Transactions on Affective Computing, vol. 7, number 4, 2016.
    @article{TAC2016,
      author    = {M.S.H.  Aung, S. Kaltwang,  B. Romera-Paredes, B. Martinez, A. Singh, M. Cella, M.F. Valstar, H. Meng, A. Kemp, M. Shafizadeh, A.C. Elkins, N. Kanakam, A. de Rothschild, N. Tyler, P.J. Watson, A.C. de C. Williams, M. Pantic and N. Bianchi-Berthouze},
    year={2016}, 
    volume={7}, 
    number={4}, 
    pages={435-451}, 
      title     = {The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset},
      journal = {Transactions on Affective Computing},
      url = "http://ieeexplore.ieee.org/document/7173007/"
    }
    
  4. Cascaded Regression with Sparsified Feature Covariance Matrix for Facial Landmark Detection. bibtex link E. Sanchez-Lozano, B. Martinez and M. Valstar. In Pattern Recognition Letters, vol. 73, 2016.
    @article{sanchez_prl,
       author = {E. Sanchez-Lozano, B. Martinez and M. Valstar}, 
       title = {Cascaded Regression with Sparsified Feature Covariance Matrix for Facial Landmark Detection}, 
       journal = {Pattern Recognition Letters},
       volume = {73},
       year = {2016},
       pages = {19--25},
       url = {http://www.sciencedirect.com/science/article/pii/S0167865515004006}
    }
    
    
    
  5. Facial landmarking for in-the-wild images with local inference based on global appearance. bibtex link B. Martinez and M. Pantic. In Image and Vision Computing, vol. 36, 2015.
    @article{martinez15,
    	title={Facial landmarking for in-the-wild images with local inference based on global appearance},
    	author={B. Martinez and  M. Pantic},
            journal = {Image and Vision Computing},
    	year={2015},
    	volume = {36}, 
           pages = {40-50},
           url = {http://www.sciencedirect.com/science/article/pii/S0262885615000116}
    }
  6. 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}
    }
  7. The MAHNOB Laughter Database. pdf bibtex S. Petridis, B. Martinez and M. Pantic. In Image and Vision Computing Journal, vol. 31, number 2, 2013.
    @article{mahnob_laughter_db,
        author = {S. Petridis, B. Martinez and M. Pantic},
        pages = {186--202},
        journal = {Image and Vision Computing Journal},
        number = {2},
        title = {The MAHNOB Laughter Database},
        volume = {31},
        year = {2013},
    }
  8. Local Evidence Aggregation for Regression-Based Facial Point Detection. pdf bibtex B. Martinez, M. Valstar, X. Binefa and M. Pantic. In IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), vol. 35, number 5, 2013.
    @article{Martinez13,
      author    = {B. Martinez, M. Valstar, X. Binefa and M. Pantic},
      title     = {Local Evidence Aggregation for Regression-Based Facial Point
                   Detection},
      journal   = {IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI)},
      volume    = {35},
      number    = {5},
      year      = {2013},
      pages     = {1149-1163},
    }
  9. DLIG: Direct Local Indirect Global Alignment for Video Mosaicing. pdf bibtex M. Vivet, B. Martinez and X. Binefa. In Circuits and Systems for Video Technology, IEEE Transactions on, vol. 21, number 12, 2011.
    @article{BraisDLIG,
        author = {M. Vivet, B. Martinez and X. Binefa},
        pages = {1869--1878},
        journal = {Circuits and Systems for Video Technology, IEEE Transactions on},
        month = {dec.},
        number = {12},
        title = {DLIG: Direct Local Indirect Global Alignment for Video Mosaicing},
        volume = {21},
        year = {2011},
    }
  10. Piecewise affine kernel tracking for non-planar targets. bibtex B. Martinez and X. Binefa. In Pattern Recognition, vol. 41, number 12, 2008.
    @article{journals/pr/MartinezB08,
        author = {B. Martinez and X. Binefa},
        pages = {3682--3691},
        journal = {Pattern Recognition},
        number = {12},
        title = {Piecewise affine kernel tracking for non-planar targets},
        volume = {41},
        year = {2008},
    }

Book Chapters

  1. Advances, Challenges, and Opportunities in Automatic Facial Expression Recognition. pdf bibtex link B. Martinez, M.F. Valstar. In Advances in Face Detection and Facial Image Analysis, 2016.
    @incollection{martinez_book15,
      author      = "B. Martinez, M.F. Valstar",
      title       = "Advances, Challenges, and Opportunities in Automatic Facial Expression Recognition",
      editor      = "M. Kawulok, E. Celebi, B. Smolka",
      booktitle   = "Advances in Face Detection and Facial Image Analysis",
      publisher   = "Springer",
      pages = "63 -- 100",
      year = "2016",
      url = {http://www.springer.com/us/book/9783319259567}
    }