2018

  1. H. Salimbeni, S. Eleftheriadis, J. Hensman. Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models. International Conference on Artificial Intelligence and Statistics (AISTATS).
    [pdf] [supplementary] [bibtex]
@inproceedings{salimbeni2018natgrads,
  title = 	 {Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models},
  author = 	 {Hugh Salimbeni and Stefanos Eleftheriadis and James Hensman},
  booktitle = 	 {Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics},
  pages = 	 {689--697},
  year = 	 {2018},
  volume = 	 {84},
  series = 	 {Proceedings of Machine Learning Research},
  publisher = 	 {PMLR}
}
  

2017

  1. S. Eleftheriadis, T. F. W. Nicholson, M. P. Deisenroth, J. Hensman. Identification of Gaussian Process State Space Models. Advances in Neural Information Processing Systems (NIPS).
    [pdf] [supplementary] [bibtex]
    @inproceedings{eleftheriadis2017identification,
    title={Identification of Gaussian Process State Space Models},
    author={Eleftheriadis, Stefanos and Nicholson, Thomas FW and Deisenroth, Marc Peter and Hensman, James},
    booktitle={Advances in Neural Information Processing Systems},
    pages={5315--5325},
    year={2017}
    }
  
  1. S. Eleftheriadis, O. Rudovic, M. P. Deisenroth, M. Pantic. Gaussian Process Domain Experts for Modeling of Facial Affect. IEEE Transactions on Image Processing (TIP).
    [pdf] [bibtex]
  @article{eleftheriadis2017tip,
  author = {S. Eleftheriadis and O. Rudovic and M. P. Deisenroth and M. Pantic},
  pages = {4697--4711},
  journal = {IEEE Transactions on Image Processing},
  number = {10},
  title = {Gaussian Process Domain Experts for Modeling of Facial Affect},
  volume = {26},
  year = {2017},
  publisher={IEEE}
  }
  
  1. D. L. Tran, R. Walecki, O. Rudovic, S. Eleftheriadis, B. Schuller, M. Pantic. DeepCoder: Semi-parametric Variational Autoencoders for Facial Action Unit Intensity Estimation. International Conference on Computer Vision (ICCV).
    [pdf] [bibtex]
@inproceedings{tran2017deep,
  title={DeepCoder: Semi-parametric Variational Autoencoders for Facial Action Unit Intensity Estimation},
  author={Tran, Dieu Linh and Walecki, Robert Rudovic, Ognjen and Eleftheriadis, Stefanos and Schuller, Bjoern and Pantic, Maja},
  journal={arXiv preprint arXiv:1704.02206},
  year={2017}
}
  

2016

  1. S. Eleftheriadis, O. Rudovic, M. P. Deisenroth, M. Pantic. Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units. *Asian Conference on Computer Vision (ACCV).
    [pdf] [bibtex]
  @inproceedings{eleftheriadis2016variational,
  title={Variational {G}aussian process auto-encoder for ordinal prediction of facial action units},
  author={Eleftheriadis, Stefanos and Rudovic, Ognjen and Deisenroth, Marc Peter and Pantic, Maja},
  booktitle={Asian Conference on Computer Vision},
  pages={154--170},
  year={2016},
  organization={Springer}
}
  
  1. S. Eleftheriadis, O. Rudovic, M. Pantic. Joint Facial Action Unit Detection and Feature Fusion: A Multi-Conditional Learning Approach. IEEE Transactions on Image Processing (TIP).
    [pdf] [bibtex]
@article{eleftheriadis2016joint,
    author = {S. Eleftheriadis and O. Rudovic and M. Pantic},
    pages = {5727--5742},
    journal = {IEEE Transactions on Image Processing},
    number = {12},
    title = {Joint Facial Action Unit Detection and Feature Fusion: A Multi-conditional Learning Approach},
    volume = {25},
    year = {2016},
    publisher={IEEE}
}
  
  1. S. Eleftheriadis, O. Rudovic, M. P. Deisenroth, M. Pantic. Gaussian Process Domain Experts for Model Adaptation in Facial Behavior Analysis. International Conference on Computer Vision and Pattern Recognition Workshops (CVPR-W).
    [pdf] [bibtex]
@inproceedings{eleftheriadis2016gpde,
    author = {S. Eleftheriadis and O. Rudovic and M. P. Deisenroth and M. Pantic},
    booktitle = {International Conference on Computer Vision and Pattern Recognition Workshops},
    title = {Gaussian Process Domain Experts for Model Adaptation in Facial Behavior Analysis},
    pages={18--26},
    year = {2016}
}
  

2015

  1. S. Eleftheriadis, O. Rudovic, M. Pantic. Multi-conditional Latent Variable Model for Joint Facial Action Unit Detection. International Conference on Computer Vision (ICCV).
    [pdf] [bibtex]
@inproceedings{eleftheriadis2015multi,
  title={Multi-conditional latent variable model for joint facial action unit detection},
  author={Eleftheriadis, Stefanos and Rudovic, Ognjen and Pantic, Maja},
  booktitle={Proceedings of the IEEE International Conference on Computer Vision},
  pages={3792--3800},
  year={2015}
}
  
  1. S. Eleftheriadis, O. Rudovic, M. Pantic. Discriminative Shared Gaussian Processes for Multi-view and View-invariant Facial Expression Recognition. IEEE Transactions on Image Processing (TIP).
    [pdf] [bibtex]
@article{eleftheriadis2015discriminative,
  title={Discriminative shared gaussian processes for multiview and view-invariant facial expression recognition},
  author={Eleftheriadis, Stefanos and Rudovic, Ognjen and Pantic, Maja},
  journal={IEEE Transactions on Image Processing},
  volume={24},
  number={1},
  pages={189--204},
  year={2015},
  publisher={IEEE}
}
  

2014

  1. S. Eleftheriadis, O. Rudovic, M. Pantic. View-constrained Latent Variable Model for Multi-view Facial Expression Classification. International Symposium on Visual Computing (ISVC).
    [pdf] [bibtex]
@inproceedings{eleftheriadis2014view,
  title={View-constrained latent variable model for multi-view facial expression classification},
  author={Eleftheriadis, Stefanos and Rudovic, Ognjen and Pantic, Maja},
  booktitle={International Symposium on Visual Computing},
  pages={292--303},
  year={2014},
  organization={Springer}
}
  

2013

  1. S. Eleftheriadis, O. Rudovic, M. Pantic. Shared Gaussian Process Latent Variable Model for Multi-view Facial Expression Recognition. International Symposium on Visual Computing (ISVC).
    [pdf] [bibtex]
@inproceedings{eleftheriadis2013shared,
  title={Shared Gaussian process latent variable model for multi-view facial expression recognition},
  author={Eleftheriadis, Stefanos and Rudovic, Ognjen and Pantic, Maja},
  booktitle={International Symposium on Visual Computing},
  pages={527--538},
  year={2013},
  organization={Springer}
}
  

2010

  1. S. Georgoulis, S. Eleftheriadis, D. Tzionas, K. Vrenas, P. Petrantonakis, L. J. Hadjileontiadis. Epione: An Innovative Pain Management System Using Facial Expression Analysis, Biofeedback and Augmented Reality-based Distraction. Intelligent Networking and Collaborative Systems (INCOS).
    [pdf] [bibtex]
@inproceedings{georgoulis2010epione,
  title={Epione: An innovative pain management system using facial expression analysis, biofeedback and augmented reality-based distraction},
  author={Georgoulis, S and Eleftheriadis, S and Tzionas, D and Vrenas, K and Petrantonakis, Panagiotis and Hadjileontiadis, Leontios J},
  booktitle={International Conference on Intelligent Networking and Collaborative Systems},
  pages={259--266},
  year={2010},
  organization={IEEE}
}
  
  1. D. Tzionas, K. Vrenas, S. Eleftheriadis, S. Georgoulis, P. Petrantonakis, L. J. Hadjileontiadis. Phantom Limb Pain Management Using Facial Expression Analysis, Biofeedback and Augmented Reality Interfacing. International Conference on Software Development for Enhancing Accessibility and Fighting Infoexclusion (DSAI).
    [pdf] [bibtex]
@inproceedings{tzionas2010phantom,
  title={Phantom Limb Pain Management Using Facial Expression Analysis, Biofeedback and Augmented Reality Interfacing},
  author={Tzionas, D and Vrenas, K and Eleftheriadis, S and Georgoulis, S and Petrantonakis, P and Hadjileontiadis, L. J.},
  booktitle={Proceedings of the International Conference on Software Development for Enhancing Accessibility and Fighting Infoexclusion},
  year={2010}
}
  

Thesis

S. Eleftheriadis. Gaussian Processes for Modeling of Facial Expressions. Imperial College London. PhD Thesis.
[pdf] [bibtex]

@phdthesis{eleftheriadis2016thesis,
    author = {S. Eleftheriadis},
    title = {Gaussian Processes for Modeling of Facial Expressions},
    year = {2016},
    school = {Imperial College London},
    address = {London, UK}
}