Publications

Selected Publications

  1. Effective Self-supervised Pre-training on Low-compute networks without Distillation. bibtex link F. Tan and F. Saleh and B. Martinez. In International Conference on Learning Representations (ICLR), 2023. 
    @article{fuwen_iclr23,
  url = {https://arxiv.org/abs/2210.02808},
  author = {F. Tan and F. Saleh and B. Martinez},
  title = {Effective Self-supervised Pre-training on Low-compute networks without Distillation},
  journal = {International Conference on Learning Representations (ICLR)},  
  year = {2023},
}
  2. EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers. bibtex link J. Pan and A. Bulat and F. Tan and X. Zhu and L. Dudziak and H. Li and G. Tzimiropoulos and B. Martinez. In European Conference on Computer Vision (ECCV), 2022. 
    @article{edgevit_eccv22,
  author    = {J. Pan and A. Bulat and F. Tan and X. Zhu and L. Dudziak and H. Li and G. Tzimiropoulos and B. Martinez},
  title     = {EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers},
  journal = {European Conference on Computer Vision (ECCV)},
  year      = {2022},
  url       = {https://arxiv.org/abs/2205.03436}
}
  3. 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}
}
  4. 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}
}
  5. 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}
}
  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. 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}
}
  8. 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}
}
  9. 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},
}
  10. 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. ReGen: A good Generative zero-shot video classifier should be Rewarded. bibtex A. Bulat, E. Sanchez-Lozano, B. Matinez, G. Tzimiropoulos. In International Conference on Computer Vision (ICCV), 2023. 
    @article{bulat_iccv23a,
  author = {A. Bulat, E. Sanchez-Lozano, B. Matinez, G. Tzimiropoulos},
  title = {ReGen: A good Generative zero-shot video classifier should be Rewarded},
  journal = {International Conference on Computer Vision (ICCV)},  
  year = {2023},
}
  2. Black Box Few-Shot Adaptation for Vision-Language models. bibtex link Y. Ouali, A. Bulat, B. Matinez, G. Tzimiropoulos. In International Conference on Computer Vision (ICCV), 2023. 
    @article{yassine_iccv23,
  url = {https://arxiv.org/abs/2304.01752},
  author = {Y. Ouali, A. Bulat, B. Matinez, G. Tzimiropoulos},
  title = {Black Box Few-Shot Adaptation for Vision-Language models},
  journal = {International Conference on Computer Vision (ICCV)},  
  year = {2023},
}
  3. FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training. bibtex link A. Bulat, R. Guerrero, B. Matinez, G. Tzimiropoulos. In International Conference on Computer Vision (ICCV), 2023. 
    @article{bulat_iccv23b,
  url = {https://arxiv.org/abs/2210.04845},
  author = {A. Bulat, R. Guerrero, B. Matinez, G. Tzimiropoulos},
  title = {FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training},
  journal = {International Conference on Computer Vision (ICCV)},  
  year = {2023},
}
  4. Bayesian Prompt Learning for Image-Language Model Generalization. bibtex link M. Derakhshani, E. Sanchez, A. Bulat, V. Turrisi da Costa, C. Snoek, G. Tzimiropoulos, B. Martinez. In International Conference on Computer Vision (ICCV), 2023. 
    @article{derakhshani_iccv23,
  url = {https://arxiv.org/abs/2210.02390},
  author = {M. Derakhshani, E. Sanchez, A. Bulat, V. Turrisi da Costa, C. Snoek, G. Tzimiropoulos, B. Martinez},
  title = {Bayesian Prompt Learning for Image-Language Model Generalization},
  journal = {International Conference on Computer Vision (ICCV)},  
  year = {2023},
}
  5. Effective Self-supervised Pre-training on Low-compute networks without Distillation. bibtex link F. Tan and F. Saleh and B. Martinez. In International Conference on Learning Representations (ICLR), 2023. 
    @article{fuwen_iclr23,
  url = {https://arxiv.org/abs/2210.02808},
  author = {F. Tan and F. Saleh and B. Martinez},
  title = {Effective Self-supervised Pre-training on Low-compute networks without Distillation},
  journal = {International Conference on Learning Representations (ICLR)},  
  year = {2023},
}
  6. EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers. bibtex link J. Pan and A. Bulat and F. Tan and X. Zhu and L. Dudziak and H. Li and G. Tzimiropoulos and B. Martinez. In European Conference on Computer Vision (ECCV), 2022. 
    @article{edgevit_eccv22,
  author    = {J. Pan and A. Bulat and F. Tan and X. Zhu and L. Dudziak and H. Li and G. Tzimiropoulos and B. Martinez},
  title     = {EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers},
  journal = {European Conference on Computer Vision (ECCV)},
  year      = {2022},
  url       = {https://arxiv.org/abs/2205.03436}
}
  7. Flow Graph to Video Grounding for Weakly-Supervised Multi-step Localization. bibtex N. Dvornik and I. Hadji and H. Pham and D. Bhatt and B. Martinez and A. Fazly and A. Jepson. In European Conference on Computer Vision (ECCV), 2022. 
    @InProceedings{Nikita_eccv22,
author="N. Dvornik
and I. Hadji
and H. Pham
and D. Bhatt
and B. Martinez
and A. Fazly
and A. Jepson",
title="Flow Graph to Video Grounding for Weakly-Supervised Multi-step Localization",
booktitle="European Conference on Computer Vision (ECCV)",
year="2022"
}
  8. SOS! Self-supervised Learning Over Sets Of Handled Objects In Egocentric Action Recognition. bibtex link V. Escorcia and R. Guerrero and X. Zhu and B. Martinez. In European Conference on Computer Vision (ECCV), 2022. 
    @article{sos_eccv22,
  author    = {V. Escorcia and R. Guerrero and X. Zhu and B. Martinez},
  title     = {SOS! Self-supervised Learning Over Sets Of Handled Objects In Egocentric Action Recognition},
  journal = {European Conference on Computer Vision (ECCV)},
  year      = {2022},
  url       = {https://arxiv.org/abs/2204.04796}
}
  9. Space-time Mixing Attention for Video Transformer. bibtex link A. Bulat and J.M. Perez-Rua and S. Sudhakaran and B. Martinez and G. Tzimiropoulos. In Neural Information Processing Systems (NeurIPS), 2021. 
    @article{xvit_neurips21,
  author    = {A. Bulat and
               J.M. Perez-Rua and
               S. Sudhakaran and
               B. Martinez and
               G. Tzimiropoulos},
  title     = {Space-time Mixing Attention for Video Transformer},
  journal = {Neural Information Processing Systems (NeurIPS)},
  year      = {2021},
  url       = {https://arxiv.org/abs/2106.05968}
}
  10. Low-Fidelity End-to-End Video Encoder Pre-training for Temporal Action Localization. bibtex Mengmeng Xu and Juan-Manuel Perez-Rua and Xiatian Zhu and Bernard Ghanem and Brais Martinez. In Neural Information Processing Systems (NeurIPS), 2021. 
    @article{xu2021lowfidelity,
      title={Low-Fidelity End-to-End Video Encoder Pre-training for Temporal Action Localization}, 
      author={Mengmeng Xu and Juan-Manuel Perez-Rua and Xiatian Zhu and Bernard Ghanem and Brais Martinez},
      year={2021},
      journal={Neural Information Processing Systems (NeurIPS)},
}
  11. Boundary-sensitive Pre-training for Temporal Localization in Videos. bibtex link M. Xu and J. M. Perez-Rua and V. Escorcia and B. Martinez and X. Zhu and L. Zhang and B. Ghanem and T. Xiang. In IEEE International Conference on Computer Vision (ICCV), 2021. 
    @article{xu_cvpr21,
               author    = {M. Xu and
               J. M. Perez-Rua and
               V. Escorcia and
               B. Martinez and
               X. Zhu and
               L. Zhang and
               B. Ghanem and
               T. Xiang},
  title     = {Boundary-sensitive Pre-training for Temporal Localization in Videos},
  journal   = {IEEE International Conference on Computer Vision (ICCV)},
  year      = {2021},
  url       = {https://arxiv.org/abs/2011.10830},
}
  12. 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}
}
  13. 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}
}
  14. 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}
}
  15. Knowing What, Where and When to Look: Video Action Modelling with Attention. bibtex X. Zhu and A. Toisoul and J. Perez-Rua and L. Zhang and B. Martinez and T. Xiang. In British Machine Vision Conference (BMVC), 2021. 
    @InProceedings{w3_bmvc21,
author = {X. Zhu and A. Toisoul and J. Perez-Rua and L. Zhang and B. Martinez and T. Xiang},
title = {Knowing What, Where and When to Look: Video Action Modelling with Attention},
booktitle = {British Machine Vision Conference (BMVC)},
year = {2021}
}
  16. 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}
}
  17. 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}
}
  18. 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}
}
  19. 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}
}
  20. 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}
}
  21. 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}
}
  22. 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}
}
  23. 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}
}
  24. 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},
}
  25. 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},
}
  26. 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},
}

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}
}