Dr. Ognjen Rudovic
Biography
Ognjen obtained his B.Sc. degree in Automatic Control Theory from Faculty of Electrical Engineering, University of Belgrade, Serbia, and M.Sc. in Computer Vision and Artificial Intelligence from Autonomous University of Barcelona / Computer Vision Centre (UAB/CVC), Spain, in 2007 and 2008, respectively. In 2014, he received a Ph.D. from Dept. of Computing, Imperial College London, UK. During his PhD, Ognjen worked on machine-learning and computer vision models for automated analysis of human facial behaviour, and, in particular, multi-view facial expression analysis and context-sensitive analysis of dynamics of facial expressions, including their intensity and temporal dynamics. The approaches that he proposed address a number of modelling tasks including automated classification of facial expressions of emotions, intensity estimation of facial action units (AUs), and facial expressions of pain, among others. These are based on the state-of-the-art statistical frameworks including Gaussian Processes, and dynamic graphical models for spatio-temporal modelling based on Conditional Random Fields.
Ognjen's current research focus is on the design of novel context-sensitive and multi-modal machine-learning approaches for analysis of naturalistic human behaviour in the wild, i.e., outside the lab settings. This has a vast number of applications ranging from human-computer interaction (HCI) (for marketing and multi-media tagging), computer-mediated human-human interaction (e.g. Skype or Face-time, and for modelling of mimicry and liking), human-robot interaction (HRI) (for modelling of rapport between humans and robots), as well as its application to educational therapies for children with Autism Spectrum Conditions (ASC), and health-care and wellbeing technologies in general.
Publications
Book chapters
Machine Learning Methods for Social Signal Processing
O. Rudovic,
M. A. Nicolaou,
V. Pavlovic.
Social Signal Processing.
Cambridge University Press,
2014.
@inbook{mlspp_chapter2014,
author = {O. Rudovic and M. A. Nicolaou and V. Pavlovic},
booktitle = {Social Signal Processing},
publisher = {Cambridge University Press},
title = {Machine Learning Methods for Social Signal Processing},
year = {2014},
}
%0 Book Section
%A Rudovic, O.
%A Nicolaou, M. A.
%A Pavlovic, V.
%B Social Signal Processing
%D 2014
%I Cambridge University Press
%F mlspp_chapter2014
Journal articles
A Copula Ordinal Regression Framework for Joint Estimation of Facial Action Unit Intensity
R. Walecki,
O. Rudovic,
V. Pavlovic,
M. Pantic.
IEEE Transactions on Affective Computing.
2017.
@article{walecki2017copula,
author = {R. Walecki and O. Rudovic and V. Pavlovic and M. Pantic},
journal = {IEEE Transactions on Affective Computing},
publisher = {IEEE},
title = {A Copula Ordinal Regression Framework for Joint Estimation of Facial Action Unit Intensity},
year = {2017},
}
Gaussian Process Domain Experts for Modeling of Facial Affect
S. Eleftheriadis,
O. Rudovic,
M. P. Deisenroth,
M. Pantic.
IEEE Transactions on Image Processing.
26(10):
pp. 4697 - 4711,
2017.
@article{eleftheriadis2017gaussian,
author = {S. Eleftheriadis and O. Rudovic and M. P. Deisenroth and M. Pantic},
pages = {4697--4711},
journal = {IEEE Transactions on Image Processing},
number = {10},
publisher = {IEEE},
title = {Gaussian Process Domain Experts for Modeling of Facial Affect},
volume = {26},
year = {2017},
}
Variable-state Latent Conditional Random Field models for facial expression analysis
R. Walecki,
O. Rudovic,
V. Pavlovic,
M. Pantic.
Image and Vision Computing.
58:
pp. 25 - 37,
2017.
@article{walecki2017variable,
author = {R. Walecki and O. Rudovic and V. Pavlovic and M. Pantic},
pages = {25--37},
journal = {Image and Vision Computing},
publisher = {Elsevier},
title = {Variable-state Latent Conditional Random Field models for facial expression analysis},
volume = {58},
year = {2017},
}
Gaussian Process Domain Experts for Modeling of Facial Affect
S. Eleftheriadis,
O. Rudovic,
M. P. Deisenroth,
M. Pantic.
IEEE Transactions on Image Processing.
26(10):
pp. 4697 - 4711,
2017.
@article{ele_tip3,
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},
}
@article{walecki2017_deep_copula,
editor = {R. Walecki and O. Rudovic and V. Pavlovic and B. Schuller and M. Pantic},
month = {July},
title = {Deep Structured Learning for Facial Expression Intensity Estimation},
year = {2017},
}
Joint Facial Action Unit Detection and Feature Fusion: A Multi-conditional Learning Approach
S. Eleftheriadis,
O. Rudovic,
M. Pantic.
IEEE Transactions on Image Processing.
25(12):
pp. 5727 - 5742,
2016.
@article{eleftheriadis_tip2,
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},
}
Variable-state Latent Conditional Random Field Models for Facial Expression Analysis
R. Walecki,
O. Rudovic,
V. Pavlovic,
M. Pantic.
IMAVIS (article in press).
October
2016.
@article{walecki2015variable-state_2,
author = {R. Walecki and O. Rudovic and V. Pavlovic and M. Pantic},
booktitle = {IMAVIS (article in press)},
journal = {IMAVIS (article in press)},
month = {October},
publisher = {Elsevier},
title = {Variable-state Latent Conditional Random Field Models for Facial Expression Analysis},
year = {2016},
}
Discriminative Shared Gaussian Processes for Multi-view and View-invariant Facial Expression Recognition
S. Eleftheriadis,
O. Rudovic,
M. Pantic.
IEEE Transactions on Image Processing.
24(1):
pp. 189 - 204,
2015.
@article{eleftheriadis_TIP2014,
author = {S. Eleftheriadis and O. Rudovic and M. Pantic},
pages = {189--204},
journal = {IEEE Transactions on Image Processing},
number = {1},
title = {Discriminative Shared Gaussian Processes for Multi-view and View-invariant Facial Expression Recognition},
volume = {24},
year = {2015},
}
Context-sensitive Dynamic Ordinal Regression for Intensity Estimation of Facial Action Units
O. Rudovic,
V. Pavlovic,
M. Pantic.
IEEE Transactions on Pattern Analysis and Machine Intelligence. vol. 37, pp: 944-958 .
May
2015.
@article{RudovicEtAlPAMI14,
author = {O. Rudovic and V. Pavlovic and M. Pantic},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence. vol. 37, pp: 944-958 },
month = {May},
title = {Context-sensitive Dynamic Ordinal Regression for Intensity Estimation of Facial Action Units},
year = {2015},
}
%0 Journal Article
%T Context-sensitive Dynamic Ordinal Regression for Intensity Estimation of Facial Action Units
%A Rudovic, O.
%A Pavlovic, V.
%A Pantic, M.
%J IEEE Transactions on Pattern Analysis and Machine Intelligence. vol. 37, pp: 944-958
%D 2015
%8 May
%F RudovicEtAlPAMI14
Coupled Gaussian Processes for Pose-Invariant Facial Expression Recognition
O. Rudovic,
M. Pantic,
I. Patras.
IEEE Transactions on Pattern Analysis and Machine Intelligence.
35(6):
pp. 1357 - 1369,
2013.
@article{RudovicEtAlPAMI12,
author = {O. Rudovic and M. Pantic and I. Patras},
pages = {1357--1369},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
number = {6},
title = {Coupled Gaussian Processes for Pose-Invariant Facial Expression Recognition},
volume = {35},
year = {2013},
}
%0 Journal Article
%T Coupled Gaussian Processes for Pose-Invariant Facial Expression Recognition
%A Rudovic, O.
%A Pantic, M.
%A Patras, I.
%J IEEE Transactions on Pattern Analysis and Machine Intelligence
%D 2013
%V 35
%N 6
%F RudovicEtAlPAMI12
%P 1357-1369
Hierarchical On-line Appearance-Based Tracking for 3D Head Pose, Eyebrows, Lips, Eyelids and Irises
J. Orozco,
O. Rudovic,
J. Gonzàlez,
M. Pantic.
Image and Vision Computing.
31(4):
pp. 322 - 340,
February
2013.
@article{JO-OABT2013,
author = {J. Orozco and O. Rudovic and J. Gonzàlez and M. Pantic},
pages = {322--340},
journal = {Image and Vision Computing},
month = {February},
number = {4},
publisher = {Elsevier},
title = {Hierarchical On-line Appearance-Based Tracking for 3D Head Pose, Eyebrows, Lips, Eyelids and Irises},
url = {http://www.sciencedirect.com/science/article/pii/S0262885613000334},
volume = {31},
year = {2013},
}
%0 Journal Article
%T Hierarchical On-line Appearance-Based Tracking for 3D Head Pose, Eyebrows, Lips, Eyelids and Irises
%A Orozco, J.
%A Rudovic, O.
%A Gonzàlez, J.
%A Pantic, M.
%J Image and Vision Computing
%D 2013
%8 February
%V 31
%N 4
%I Elsevier
%F JO-OABT2013
%U http://www.sciencedirect.com/science/article/pii/S0262885613000334
%P 322-340
Conference articles
@inproceedings{linh2017deepcoder,
author = {L. Tran and R. Walecki and O. Rudovic and S. Eleftheriadis and B. Schuller and M. Pantic},
pages = {3190--3199},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
title = {DeepCoder: Semi-Parametric Variational Autoencoders for Automatic Facial Action Coding},
year = {2017},
}
Deep Structured Learning for Facial Expression Intensity Estimation
R. Walecki,
O. Rudovic,
V. Pavlovic,
B. Schuller,
M. Pantic.
Proceedings of IEEE Int’l Conf. on Computer Vision and Pattern Recognition (CVPR 2017).
Honolulu, Hawaii,
June
2017.
@inproceedings{walecki2017_deepstructure,
author = {R. Walecki and O. Rudovic and V. Pavlovic and B. Schuller and M. Pantic},
address = {Honolulu, Hawaii},
booktitle = {Proceedings of IEEE Int’l Conf. on Computer Vision and Pattern Recognition (CVPR 2017)},
month = {June},
title = {Deep Structured Learning for Facial Expression Intensity Estimation},
year = {2017},
}
Multi-instance dynamic ordinal random fields for weakly-supervised pain intensity estimation
A. Ruiz,
O. Rudovic,
X. Binefa,
M. Pantic.
Asian Conference on Computer Vision.
Springer,
pp. 171 - 186,
2016.
@inproceedings{ruiz2016multi,
author = {A. Ruiz and O. Rudovic and X. Binefa and M. Pantic},
pages = {171--186},
booktitle = {Asian Conference on Computer Vision},
organization = {Springer},
title = {Multi-instance dynamic ordinal random fields for weakly-supervised pain intensity estimation},
year = {2016},
}
@inproceedings{Rakicevic2016,
author = {N. Rakicevic and O. Rudovic and S. Petridis and M. Pantic},
address = {Cancun, Mexico},
booktitle = {ICPR (oral)},
month = {December},
title = {Multi-Modal Neural Conditional Ordinal Random Fields for Agreement Level Estimation},
year = {2016},
}
Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units
S. Eleftheriadis,
O. Rudovic,
M. P. Deisenroth,
M. Pantic.
Asian Conference on Computer Vision.
Taipei, Taiwan,
November
2016.
@inproceedings{eleftheriadis_accv,
author = {S. Eleftheriadis and O. Rudovic and M. P. Deisenroth and M. Pantic},
address = {Taipei, Taiwan},
booktitle = {Asian Conference on Computer Vision},
month = {November},
title = {Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units},
year = {2016},
}
A Framework for Joint Estimation and Guided Annotation of Facial Action Unit Intensity
R. Walecki,
O. Rudovic,
M. Pantic,
V. Pavlovic,
J. F. Cohn.
Proceedings of IEEE Int’l Conf. on Computer Vision and Pattern Recognition (CVPR'W 2016).
Las Vegas, Nevada.,
June
2016.
@inproceedings{walecki2016framework,
author = {R. Walecki and O. Rudovic and M. Pantic and V. Pavlovic and J. F. Cohn},
address = {Las Vegas, Nevada.},
booktitle = {Proceedings of IEEE Int’l Conf. on Computer Vision and Pattern Recognition (CVPR'W 2016)},
month = {June},
title = {A Framework for Joint Estimation and Guided Annotation of Facial Action Unit Intensity},
year = {2016},
}
Gaussian Process Domain Experts for Model Adaptation in Facial Behavior Analysis
S. Eleftheriadis,
O. Rudovic,
M. P. Deisenroth,
M. Pantic.
International Conference on Computer Vision and Pattern Recognition (CVPRW’16). 4th Workshop on Context Based Affect Recognition.
Las Vegas, NV, USA,
June
2016.
@inproceedings{eleftheriadis_gpde,
author = {S. Eleftheriadis and O. Rudovic and M. P. Deisenroth and M. Pantic},
address = {Las Vegas, NV, USA},
booktitle = {International Conference on Computer Vision and Pattern Recognition (CVPRW’16). 4th Workshop on Context Based Affect Recognition},
month = {June},
title = {Gaussian Process Domain Experts for Model Adaptation in Facial Behavior Analysis},
year = {2016},
}
Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity
R. Walecki,
O. Rudovic,
M. Pantic,
V. Pavlovic.
Proceedings of IEEE Int’l Conf. on Computer Vision and Pattern Recognition (CVPR 2016).
Las Vegas, Nevada.,
June
2016.
@inproceedings{walecki2016copula,
author = {R. Walecki and O. Rudovic and M. Pantic and V. Pavlovic},
address = {Las Vegas, Nevada.},
booktitle = {Proceedings of IEEE Int’l Conf. on Computer Vision and Pattern Recognition (CVPR 2016)},
month = {June},
title = {Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity},
year = {2016},
}
Multi-conditional Latent Variable Model for Joint Facial Action Unit Detection
S. Eleftheriadis,
O. Rudovic,
M. Pantic.
International Conference on Computer Vision (ICCV).
Santiago, Chile,
December
2015.
@inproceedings{eleftheriadis_iccv,
author = {S. Eleftheriadis and O. Rudovic and M. Pantic},
address = {Santiago, Chile},
booktitle = { International Conference on Computer Vision (ICCV)},
month = {December},
title = {Multi-conditional Latent Variable Model for Joint Facial Action Unit Detection},
year = {2015},
}
%0 Conference Proceedings
%T Multi-conditional Latent Variable Model for Joint Facial Action Unit Detection
%A Eleftheriadis, S.
%A Rudovic, O.
%A Pantic, M.
%B International Conference on Computer Vision (ICCV)
%D 2015
%8 December
%C Santiago, Chile
%F eleftheriadis_iccv
Neural Conditional Ordinal Random Fields for Agreement Level Estimation
N. Rakicevic,
O. Rudovic,
S. Petridis,
M. Pantic.
1st International Workshop on Automatic Sentiment Analysis in the Wild (WASA'15).
Xi'an, China,
September
2015.
@inproceedings{Rakicevic2015,
author = {N. Rakicevic and O. Rudovic and S. Petridis and M. Pantic},
address = {Xi'an, China},
booktitle = {1st International Workshop on Automatic Sentiment Analysis in the Wild (WASA'15)},
month = {September},
title = {Neural Conditional Ordinal Random Fields for Agreement Level Estimation},
year = {2015},
}
%0 Conference Proceedings
%T Neural Conditional Ordinal Random Fields for Agreement Level Estimation
%A Rakicevic, N.
%A Rudovic, O.
%A Petridis, S.
%A Pantic, M.
%B 1st International Workshop on Automatic Sentiment Analysis in the Wild (WASA?15)
%D 2015
%8 September
%C Xi?an, China
%F Rakicevic2015
Sentiment Apprehension in Human-Robot Interaction with NAO
J. Shen,
O. Rudovic,
S. Cheng,
M. Pantic.
1st International Workshop on Automatic Sentiment Analysis in the Wild (WASA'15).
Xi'an, China,
September
2015.
@inproceedings{Shen2015,
author = {J. Shen and O. Rudovic and S. Cheng and M. Pantic},
address = {Xi'an, China},
booktitle = {1st International Workshop on Automatic Sentiment Analysis in the Wild (WASA'15)},
month = {September},
title = {Sentiment Apprehension in Human-Robot Interaction with NAO},
year = {2015},
}
Variable-state Latent Conditional Random Fields for Facial Expression Recognition and Action Unit Detection
R. Walecki,
O. Rudovic,
V. Pavlovic,
M. Pantic.
Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition (FG'15).
Ljubljana, Slovenia,
May
2015.
@inproceedings{walecki2015variable-state,
author = {R. Walecki and O. Rudovic and V. Pavlovic and M. Pantic},
address = {Ljubljana, Slovenia},
booktitle = {Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition (FG'15)},
month = {May},
title = {Variable-state Latent Conditional Random Fields for Facial Expression Recognition and Action Unit Detection},
year = {2015},
}
Personalised modelling of facial action unit intensity
S. Yang,
O. Rudovic,
V. Pavlovic,
M. Pantic.
Int’l Symposium on Visual Computing (ISVC’14), LNCS, Las Vegas, USA.
pp. 269 - 281,
December
2014.
@inproceedings{yangrudovic,
author = {S. Yang and O. Rudovic and V. Pavlovic and M. Pantic},
pages = {269--281},
booktitle = {Int’l Symposium on Visual Computing (ISVC’14), LNCS, Las Vegas, USA},
month = {December},
title = {Personalised modelling of facial action unit intensity},
year = {2014},
}
%0 Conference Proceedings
%T Personalised modelling of facial action unit intensity
%A Yang, S.
%A Rudovic, O.
%A Pavlovic, V.
%A Pantic, M.
%B Int’l Symposium on Visual Computing (ISVC’14), LNCS, Las Vegas, USA
%D 2014
%8 December
%F yangrudovic
%P 269-281
View-constrained Latent Variable Model for Multi-view Facial Expression Classification
S. Eleftheriadis,
O. Rudovic,
M. Pantic.
Int’l Symposium on Visual Computing (ISVC’14), LNCS, Las Vegas, USA.
pp. 292 - 303,
December
2014.
@inproceedings{eleftheriadis_ISVC2014,
author = {S. Eleftheriadis and O. Rudovic and M. Pantic},
pages = {292--303},
booktitle = {Int’l Symposium on Visual Computing (ISVC’14), LNCS, Las Vegas, USA},
month = {December},
title = {View-constrained Latent Variable Model for Multi-view Facial Expression Classification},
year = {2014},
}
%0 Conference Proceedings
%T View-constrained Latent Variable Model for Multi-view Facial Expression Classification
%A Eleftheriadis, S.
%A Rudovic, O.
%A Pantic, M.
%B Int’l Symposium on Visual Computing (ISVC’14), LNCS, Las Vegas, USA
%D 2014
%8 December
%F eleftheriadis_ISVC2014
%P 292-303
Context-Sensitive Conditional Ordinal Random Fields for Facial Action Intensity Estimation
O. Rudovic,
V. Pavlovic,
M. Pantic.
The IEEE International Conference on Computer Vision (ICCV) Workshops.
Sydney, Australia,
December
2013.
@inproceedings{Rudovic_2013_ICCV_Workshops,
author = {O. Rudovic and V. Pavlovic and M. Pantic},
address = {Sydney, Australia},
booktitle = {The IEEE International Conference on Computer Vision (ICCV) Workshops},
month = {December},
title = {Context-Sensitive Conditional Ordinal Random Fields for Facial Action Intensity Estimation},
year = {2013},
}
%0 Conference Proceedings
%T Context-Sensitive Conditional Ordinal Random Fields for Facial Action Intensity Estimation
%A Rudovic, O.
%A Pavlovic, V.
%A Pantic, M.
%B The IEEE International Conference on Computer Vision (ICCV) Workshops
%D 2013
%8 December
%C Sydney, Australia
%F Rudovic_2013_ICCV_Workshops
Shared Gaussian Process Latent Variable Model for Multi-view Facial Expression Recognition
S. Eleftheriadis,
O. Rudovic,
M. Pantic.
Advances in Visual Computing, 9th International Symposium, ISVC.
Springer Berlin Heidelberg,
pp. 527 - 538,
2013.
@inproceedings{Eleftheriadis_ISVC13,
author = {S. Eleftheriadis and O. Rudovic and M. Pantic},
pages = {527--538},
booktitle = {Advances in Visual Computing, 9th International Symposium, ISVC},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Computer Science},
title = {Shared Gaussian Process Latent Variable Model for Multi-view Facial Expression Recognition},
year = {2013},
}
%0 Conference Proceedings
%T Shared Gaussian Process Latent Variable Model for Multi-view Facial Expression Recognition
%A Eleftheriadis, S.
%A Rudovic, O.
%A Pantic, M.
%B Advances in Visual Computing, 9th International Symposium, ISVC
%D 2013
%I Springer Berlin Heidelberg
%F Eleftheriadis_ISVC13
%P 527-538
Bimodal Log-linear Regression for Fusion of Audio and Visual Features
O. Rudovic,
S. Petridis,
M. Pantic.
Proceedings of the ACM Int’l Conf. on Multimedia.
Barcelona, Spain,
October
2013.
@inproceedings{petridis2013bimodal,
author = {O. Rudovic and S. Petridis and M. Pantic},
address = {Barcelona, Spain},
booktitle = {Proceedings of the ACM Int’l Conf. on Multimedia},
month = {October},
title = {Bimodal Log-linear Regression for Fusion of Audio and Visual Features},
year = {2013},
}
%0 Conference Proceedings
%T Bimodal Log-linear Regression for Fusion of Audio and Visual Features
%A Rudovic, O.
%A Petridis, S.
%A Pantic, M.
%B Proceedings of the ACM Int’l Conf. on Multimedia
%D 2013
%8 October
%C Barcelona, Spain
%F petridis2013bimodal
Automatic Pain Intensity Estimation with Heteroscedastic Conditional Ordinal Random Fields
O. Rudovic,
V. Pavlovic,
M. Pantic.
Advances in Visual Computing.
Springer,
2013.
@inproceedings{rudovic2013automatic,
booktitle = {Advances in Visual Computing},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
title = {Automatic Pain Intensity Estimation with Heteroscedastic Conditional Ordinal Random Fields},
year = {2013},
}
%0 Conference Proceedings
%T Automatic Pain Intensity Estimation with Heteroscedastic Conditional Ordinal Random Fields
%B Advances in Visual Computing
%D 2013
%I Springer
%F rudovic2013automatic
Kernel Conditional Ordinal Random Fields for Temporal Segmentation of Facial Action Units
O. Rudovic,
V. Pavlovic,
M. Pantic.
Workshop on “What is in the Face”, Proceedings of the 12th European Conference on Computer Vision (ECCV-W'12), Part II.
Florence, Italy,
pp. 260 - 269,
October
2012.
@inproceedings{RudovicEtAlECCV-W12,
author = {O. Rudovic and V. Pavlovic and M. Pantic},
pages = {260--269},
address = {Florence, Italy},
booktitle = {Workshop on “What is in the Face”, Proceedings of the 12th European Conference on Computer Vision (ECCV-W'12), Part II},
month = {October},
title = {Kernel Conditional Ordinal Random Fields for Temporal Segmentation of Facial Action Units},
year = {2012},
}
%0 Conference Proceedings
%T Kernel Conditional Ordinal Random Fields for Temporal Segmentation of Facial Action Units
%A Rudovic, O.
%A Pavlovic, V.
%A Pantic, M.
%B Workshop on “What is in the Face”, Proceedings of the 12th European Conference on Computer Vision (ECCV-W?12), Part II
%D 2012
%8 October
%C Florence, Italy
%F RudovicEtAlECCV-W12
%P 260-269
Continuous Pain Intensity Estimation from Facial Expressions
S. Kaltwang,
O. Rudovic,
M. Pantic.
Advances in Visual Computing.
Springer,
Heidelberg,
7432:
pp. 368 - 377,
2012.
@inproceedings{kaltwang2012continuous,
author = {S. Kaltwang and O. Rudovic and M. Pantic},
pages = {368--377},
address = {Heidelberg},
booktitle = {Advances in Visual Computing},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
title = {Continuous Pain Intensity Estimation from Facial Expressions},
volume = {7432},
year = {2012},
}
%0 Conference Proceedings
%T Continuous Pain Intensity Estimation from Facial Expressions
%A Kaltwang, S.
%A Rudovic, O.
%A Pantic, M.
%B Advances in Visual Computing
%D 2012
%V 7432
%I Springer
%C Heidelberg
%F kaltwang2012continuous
%P 368-377
Multi-output Laplacian Dynamic Ordinal Regression for Facial Expression Recognition and Intensity Estimation
O. Rudovic,
V. Pavlovic,
M. Pantic.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012).
Providence, USA,
pp. 2634 - 2641,
June
2012.
@inproceedings{RudovicEtAlCVPR2012,
author = {O. Rudovic and V. Pavlovic and M. Pantic},
pages = {2634--2641},
address = {Providence, USA},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012)},
month = {June},
title = {Multi-output Laplacian Dynamic Ordinal Regression for Facial Expression Recognition and Intensity Estimation},
year = {2012},
}
%0 Conference Proceedings
%T Multi-output Laplacian Dynamic Ordinal Regression for Facial Expression Recognition and Intensity Estimation
%A Rudovic, O.
%A Pavlovic, V.
%A Pantic, M.
%B Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012)
%D 2012
%8 June
%C Providence, USA
%F RudovicEtAlCVPR2012
%P 2634-2641
Shape-constrained Gaussian Process Regression for Facial-point-based Head-pose Normalization
O. Rudovic,
M. Pantic.
Proceedings of IEEE Int’l Conf. on Computer Vision (ICCV 2011).
pp. 1495 - 1502,
November
2011.
@inproceedings{Rudovic2011iccv2,
author = {O. Rudovic and M. Pantic},
pages = {1495--1502},
booktitle = {Proceedings of IEEE Int’l Conf. on Computer Vision (ICCV 2011)},
month = {November},
title = {Shape-constrained Gaussian Process Regression for Facial-point-based Head-pose Normalization},
year = {2011},
}
%0 Conference Proceedings
%T Shape-constrained Gaussian Process Regression for Facial-point-based Head-pose Normalization
%A Rudovic, O.
%A Pantic, M.
%B Proceedings of IEEE Int’l Conf. on Computer Vision (ICCV 2011)
%D 2011
%8 November
%F Rudovic2011iccv2
%P 1495-1502
Coupled Gaussian Process Regression for pose-invariant facial expression recognition
O. Rudovic,
I. Patras,
M. Pantic.
Proceedings of European Conf. Computer Vision (ECCV'10).
Heraklion, Crete, Greece,
pp. 350 - 363,
September
2010.
@inproceedings{Rudovic2010cgprf,
author = {O. Rudovic and I. Patras and M. Pantic},
pages = {350--363},
address = {Heraklion, Crete, Greece},
booktitle = {Proceedings of European Conf. Computer Vision (ECCV'10)},
month = {September},
title = {Coupled Gaussian Process Regression for pose-invariant facial expression recognition},
year = {2010},
}
%0 Conference Proceedings
%T Coupled Gaussian Process Regression for pose-invariant facial expression recognition
%A Rudovic, O.
%A Patras, I.
%A Pantic, M.
%B Proceedings of European Conf. Computer Vision (ECCV?10)
%D 2010
%8 September
%C Heraklion, Crete, Greece
%F Rudovic2010cgprf
%P 350-363
Regression-based multi-view facial expression recognition
O. Rudovic,
I. Patras,
M. Pantic.
Proceedings of Int'l Conf. Pattern Recognition (ICPR'10).
Istanbul, Turkey,
pp. 4121 - 4124,
August
2010.
@inproceedings{Rudovic2010rmfer,
author = {O. Rudovic and I. Patras and M. Pantic},
pages = {4121--4124},
address = {Istanbul, Turkey},
booktitle = {Proceedings of Int'l Conf. Pattern Recognition (ICPR'10)},
month = {August},
title = {Regression-based multi-view facial expression recognition},
year = {2010},
}
%0 Conference Proceedings
%T Regression-based multi-view facial expression recognition
%A Rudovic, O.
%A Patras, I.
%A Pantic, M.
%B Proceedings of Int?l Conf. Pattern Recognition (ICPR?10)
%D 2010
%8 August
%C Istanbul, Turkey
%F Rudovic2010rmfer
%P 4121-4124
Facial Expression Invariant Head Pose Normalization using Gaussian Process Regression
O. Rudovic,
I. Patras,
M. Pantic.
Proceedings of IEEE Int'l Conf. Computer Vision and Pattern Recognition (CVPR-W'10).
San Francisco, USA,
3:
pp. 28 - 33,
June
2010.
@inproceedings{Rudovic2010feihp,
author = {O. Rudovic and I. Patras and M. Pantic},
pages = {28--33},
address = {San Francisco, USA},
booktitle = {Proceedings of IEEE Int'l Conf. Computer Vision and Pattern Recognition (CVPR-W'10)},
month = {June},
title = {Facial Expression Invariant Head Pose Normalization using Gaussian Process Regression},
volume = {3},
year = {2010},
}
%0 Conference Proceedings
%T Facial Expression Invariant Head Pose Normalization using Gaussian Process Regression
%A Rudovic, O.
%A Patras, I.
%A Pantic, M.
%B Proceedings of IEEE Int?l Conf. Computer Vision and Pattern Recognition (CVPR-W?10)
%D 2010
%8 June
%V 3
%C San Francisco, USA
%F Rudovic2010feihp
%P 28-33
Confidence Assessment On Eyelid and Eyebrow Expression Recognition
J. Orozco,
O. Rudovic,
X. Roca,
J. Gonzàlez.
8th IEEE International Conference on Automatic Face and Gesture Recognition (FG2008).
Amsterdam, The Netherlands,
pp. 1 - 8,
September
2008.
@inproceedings{jorozco2008b,
author = {J. Orozco and O. Rudovic and X. Roca and J. Gonzàlez},
pages = {1--8},
address = {Amsterdam, The Netherlands},
booktitle = {8th IEEE International Conference on Automatic Face and Gesture Recognition (FG2008)},
month = {September},
title = {Confidence Assessment On Eyelid and Eyebrow Expression Recognition},
url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4813454&isnumber=4813301?tag=1},
year = {2008},
}
%0 Conference Proceedings
%T Confidence Assessment On Eyelid and Eyebrow Expression Recognition
%A Orozco, J.
%A Rudovic, O.
%A Roca, X.
%A Gonzàlez, J.
%B 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG2008)
%D 2008
%8 September
%C Amsterdam, The Netherlands
%F jorozco2008b
%U http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4813454&isnumber=4813301?tag=1
%P 1-8
Theses
Machine Learning Techniques for Automated Analysis of Facial Expressions
O. Rudovic.
PhD Thesis,
December
2013.
@phdthesis{OR_thesis2014,
author = {O. Rudovic},
institution = {Imperial College London, Dept. of Computing},
month = {December},
title = {Machine Learning Techniques for Automated Analysis of Facial Expressions},
year = {2013},
}
%0 Thesis
%T Machine Learning Techniques for Automated Analysis of Facial Expressions
%A Rudovic, O.
%D 2013
%8 December
%F OR_thesis2014
%9 Ph.D. thesis