Vladimir Pavlovic

According to our database1, Vladimir Pavlovic authored at least 159 papers between 1996 and 2020.

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Bibliography

2020
Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach.
IEEE Trans. Image Process., 2020

Predicting Crowd Egress and Environment Relationships to Support Building Design Optimization.
Comput. Graph., 2020

CookGAN: Meal Image Synthesis from Ingredients.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019
Copula Ordinal Regression Framework for Joint Estimation of Facial Action Unit Intensity.
IEEE Trans. Affect. Comput., 2019

Visibility Constrained Generative Model for Depth-Based 3D Facial Pose Tracking.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Deep Crowd-Flow Prediction in Built Environments.
CoRR, 2019

Fast and Effective Adaptation of Facial Action Unit Detection Deep Model.
CoRR, 2019

The Art of Food: Meal Image Synthesis from Ingredients.
CoRR, 2019

Efficient Deep Gaussian Process Models for Variable-Sized Input.
CoRR, 2019

Relevance Factor VAE: Learning and Identifying Disentangled Factors.
CoRR, 2019

Cartoonish sketch-based face editing in videos using identity deformation transfer.
Comput. Graph., 2019

Deep Cooking: Predicting Relative Food Ingredient Amounts from Images.
Proceedings of the 5th International Workshop on Multimedia Assisted Dietary Management, 2019

Scenario Generalization of Data-driven Imitation Models in Crowd Simulation.
Proceedings of the Motion, Interaction and Games, 2019

Efficient Deep Gaussian Process Models for Variable-Sized Inputs.
Proceedings of the International Joint Conference on Neural Networks, 2019

Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Generative Adversarial Talking Head: Bringing Portraits to Life with a Weakly Supervised Neural Network.
CoRR, 2018

Variational Inference for Gaussian Process Models for Survival Analysis.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

End-to-end Learning for 3D Facial Animation from Speech.
Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018

The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory Estimation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Using 3D face priors for depth recovery.
J. Vis. Commun. Image Represent., 2017

Discovering characteristic landmarks on ancient coins using convolutional networks.
J. Electronic Imaging, 2017

Variable-state Latent Conditional Random Field models for facial expression analysis.
Image Vis. Comput., 2017

End-to-end Learning for 3D Facial Animation from Raw Waveforms of Speech.
CoRR, 2017

Sketch-based Face Editing in Video Using Identity Deformation Transfer.
CoRR, 2017

Unsupervised domain adaptation with copula models.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Characterizing the relationship between environment layout and crowd movement using machine learning.
Proceedings of the Tenth International Conference on Motion in Games, 2017

PUnDA: Probabilistic Unsupervised Domain Adaptation for Knowledge Transfer Across Visual Categories.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Deep Structured Learning for Facial Action Unit Intensity Estimation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

A Generative Model for Depth-Based Robust 3D Facial Pose Tracking.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Speech-Driven 3D Facial Animation with Implicit Emotional Awareness: A Deep Learning Approach.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Probabilistic Temporal Subspace Clustering.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Machine Learning Methods for Social Signal Processing.
Proceedings of the Social Signal Processing, 2017

2016
Robust time-series retrieval using probabilistic adaptive segmental alignment.
Knowl. Inf. Syst., 2016

Filling in the blanks: reconstructing microscopic crowd motion from multiple disparate noisy sensors.
Proceedings of the 2016 IEEE Winter Applications of Computer Vision Workshops, 2016

Robust real-time performance-driven 3D face tracking.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

A shape preserving approach for salient object detection using convolutional neural networks.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

A Shape-Based Approach for Salient Object Detection Using Deep Learning.
Proceedings of the Computer Vision - ECCV 2016, 2016

A Framework for Joint Estimation and Guided Annotation of Facial Action Unit Intensity.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Decentralized Approximate Bayesian Inference for Distributed Sensor Network.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Robust Real-Time 3D Face Tracking from RGBD Videos under Extreme Pose, Depth, and Expression Variation.
Proceedings of the Fourth International Conference on 3D Vision, 2016

2015
Context-Sensitive Dynamic Ordinal Regression for Intensity Estimation of Facial Action Units.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Robust Performance-driven 3D Face Tracking in Long Range Depth Scenes.
CoRR, 2015

Intrinsic Non-stationary Covariance Function for Climate Modeling.
CoRR, 2015

D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM.
CoRR, 2015

Mean field variational inference using bregman ADMM for distributed camera network.
Proceedings of the 9th International Conference on Distributed Smart Camera, 2015

Multi-cue Structure Preserving MRF for Unconstrained Video Segmentation.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Variable-state latent conditional random fields for facial expression recognition and action unit detection.
Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

2014
Dynamic Probabilistic CCA for Analysis of Affective Behavior and Fusion of Continuous Annotations.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Sentiment Flow for Video Interestingness Prediction.
Proceedings of the 1st ACM International Workshop on Human Centered Event Understanding from Multimedia, 2014

Personalized Modeling of Facial Action Unit Intensity.
Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014

Pose Invariant Activity Classification for Multi-floor Indoor Localization.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Hybrid On-Line 3D Face and Facial Actions Tracking in RGBD Video Sequences.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Ancient Coin Recognition Based on Spatial Coding.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Improving Ancient Roman Coin Recognition with Alignment and Spatial Encoding.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Depth Recovery with Face Priors.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
SDLDS - System for Digital Logic Design and Simulation.
IEEE Trans. Educ., 2013

Relative spatial features for image memorability.
Proceedings of the ACM Multimedia Conference, 2013

Automatic Pain Intensity Estimation with Heteroscedastic Conditional Ordinal Random Fields.
Proceedings of the Advances in Visual Computing - 9th International Symposium, 2013

Spatio-temporal Context Modeling for BoW-Based Video Classification.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

Context-Sensitive Conditional Ordinal Random Fields for Facial Action Intensity Estimation.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

Categorization of Underwater Habitats Using Dynamic Video Textures.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

A New Adaptive Segmental Matching Measure for Human Activity Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Extensions of the Zamfirescu theorem to partial metric spaces.
Math. Comput. Model., 2012

Improved sequence classification using adaptive segmental sequence alignment.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

Generalized Similarity Kernels for Efficient Sequence Classification.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Distributed Probabilistic Learning for Camera Networks with Missing Data.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Efficient evaluation of large sequence kernels.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Sparse Granger causality graphs for human action classification.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Attribute rating for classification of visual objects.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Analysis of Causality in Stock Market Data.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Kernel Conditional Ordinal Random Fields for Temporal Segmentation of Facial Action Units.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Dynamic Probabilistic CCA for Analysis of Affective Behaviour.
Proceedings of the Computer Vision - ECCV 2012, 2012

Multi-output Laplacian dynamic ordinal regression for facial expression recognition and intensity estimation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Structured Learning for Multiple Object Tracking.
Proceedings of the British Machine Vision Conference, 2012

2011
Prediction of Protein Functions with Gene Ontology and Interspecies Protein Homology Data.
IEEE/ACM Trans. Comput. Biology Bioinform., 2011

Central Subspace Dimensionality Reduction Using Covariance Operators.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Sequence classification via large margin hidden Markov models.
Data Min. Knowl. Discov., 2011

Learning Hypergraph Labeling for Feature Matching
CoRR, 2011

Some new extensions of Banach's contraction principle to partial metric space.
Appl. Math. Lett., 2011

A Belief Propagation algorithm for bias field estimation and image segmentation.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

An efficient IP approach to constrained multiple face tracking and recognition.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Isotonic CCA for sequence alignment and activity recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Digital Logic Simulator.
Proceedings of the Second Eastern European Regional Conference on the Engineering of Computer Based Systems, 2011

2010
Baselines for Image Annotation.
Int. J. Comput. Vis., 2010

Efficient motif finding algorithms for large-alphabet inputs.
BMC Bioinform., 2010

A comment on some recent results concerning the reverse order law for {1, 3, 4}-inverses.
Appl. Math. Comput., 2010

Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Hidden Conditional Ordinal Random Fields for Sequence Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Spatial Representation for Efficient Sequence Classification.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Reinforcement Learning for Robust and Efficient Real-World Tracking.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Structured Output Ordinal Regression for Dynamic Facial Emotion Intensity Prediction.
Proceedings of the Computer Vision, 2010

2009
Discriminative Learning for Dynamic State Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Covariance Operator Based Dimensionality Reduction with Extension to Semi-Supervised Settings.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Efficient alignment-free DNA barcode analytics.
BMC Bioinform., 2009

Efficient use of unlabeled data for protein sequence classification: a comparative study.
BMC Bioinform., 2009

Fast Motif Selection for Biological Sequences.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

2008
Boosted Bayesian network classifiers.
Mach. Learn., 2008

Protein homology detection with biologically inspired features and interpretable statistical models.
Int. J. Data Min. Bioinform., 2008

Scalable Algorithms for String Kernels with Inexact Matching.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Fast protein homology and fold detection with sparse spatial sample kernels.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A New Baseline for Image Annotation.
Proceedings of the Computer Vision, 2008

Dimensionality reduction using covariance operator inverse regression.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Face tracking and recognition with visual constraints in real-world videos.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis.
Proceedings of the Fifth Canadian Conference on Computer and Robot Vision, 2008

Integrative Protein Function Transfer Using Factor Graphs and Heterogeneous Data Sources.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

On the Role of Local Matching for Efficient Semi-supervised Protein Sequence Classification.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

2007
A Graphical Model Framework for Image Segmentation.
Proceedings of the Applied Graph Theory in Computer Vision and Pattern Recognition, 2007

Outlier rejection in high-dimensional deformable models.
Image Vis. Comput., 2007

Special issue on vision for human-computer interaction.
Comput. Vis. Image Underst., 2007

Fast Kernel Methods for SVM Sequence Classifiers.
Proceedings of the Algorithms in Bioinformatics, 7th International Workshop, 2007

Shape Analysis Using Curvature-Based Descriptors and Profile Hidden Markov Models.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

A recursive method for discriminative mixture learning.
Proceedings of the Machine Learning, 2007

Conditional State Space Models for Discriminative Motion Estimation.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Embedded Profile Hidden Markov Models for Shape Analysis.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Discriminative Learning of Dynamical Systems for Motion Tracking.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Advanced Signal Processing Techniques for Bioinformatics.
EURASIP J. Adv. Signal Process., 2006

Protein classification using probabilistic chain graphs and the Gene Ontology structure.
Bioinform., 2006

A tightly coupled region-shape framework for 3D medical image segmentation.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

A Profile Hidden Markov Model Framework for Modeling and Analysis of Shape.
Proceedings of the International Conference on Image Processing, 2006

Sparse Logistic Classifiers for Interpretable Protien Homology Detection.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Graphical Models for Human Motion Modelling.
Proceedings of the Human Motion, Understanding, Modelling, Capture, and Animation [Dagstuhl Seminar, 11.06., 2006

Impact of Dynamics on Subspace Embedding and Tracking of Sequences.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Discriminative Learning of Mixture of Bayesian Network Classifiers for Sequence Classification.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Stochastic noise Process enhancement of Hopfield neural networks.
IEEE Trans. Circuits Syst. II Express Briefs, 2005

Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes.
Proceedings of the Machine Learning, 2005

Estimation of Human Figure Motion Using Robust Tracking of Articulated Layers.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005

A Hybrid Framework for Image Segmentation Using Probabilistic Integration of Heterogeneous Constraints.
Proceedings of the Computer Vision for Biomedical Image Applications, 2005

2004
A Hybrid Face Recognition Method using Markov Random Fields.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Model-Based Motion Clustering Using Boosted Mixture Modeling.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

A Graphical Model Framework for Coupling MRFs and Deformable Models.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

Outlier Rejection in Deformable Model Tracking.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

2003
Guest Editors' Introduction to the Special Section on Graphical Models in Computer Vision.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

RankGene: identification of diagnostic genes based on expression data.
Bioinform., 2003

Discovering Clusters in Motion Time-Series Data.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

2002
A Bayesian framework for combining gene predictions.
Bioinform., 2002

Bayesian Networks as Ensemble of Classifiers.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

2000
Speech/Gesture Interface to a Visual-Computing Environment.
IEEE Computer Graphics and Applications, 2000

Learning Switching Linear Models of Human Motion.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Multimodal Speaker Detection Using Input/Output Dynamic Bayesian Networks.
Proceedings of the Advances in Multimodal Interfaces, 2000

A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models.
Proceedings of the Hybrid Systems: Computation and Control, Third International Workshop, 2000

Audio-Visual Speaker Detection Using Dynamic Bayesian Networks.
Proceedings of the 4th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2000), 2000

Multimodal Speaker Detection Using Error Feedback Dynamic Bayesian Networks.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

Impact of Dynamic Model Learning on Classification of Human Motion.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

1999
An integrated framework for adaptive subband image coding.
IEEE Trans. Signal Process., 1999

Variational Learning in Mixed-State Dynamic Graphical Models.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models.
Proceedings of the International Conference on Computer Vision, 1999

Time-Series Classification Using Mixed-State Dynamic Bayesian Networks.
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

1998
Multimodal Tracking and Classification of Audio-Visual Features.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

1997
Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review.
IEEE Trans. Pattern Anal. Mach. Intell., 1997

Integration of Audio/Visual Information for Use in Human-Computer Intelligent Interaction.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

A Visual Computing Environment for Very Large Scale Biomolecular Modeling.
Proceedings of the 1997 International Conference on Application-Specific Systems, 1997

1996
Speech/gesture interface to a visual computing environment for molecular biologists.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Transform image coding based on joint adaptation of filter banks and tree structures.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

Invited Speech: "Gestural Interface to a visual computing Environment for Molecular biologists".
Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96), 1996


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