Vladimir Pavlovic

发表

PUnDA: Probabilistic Unsupervised Domain Adaptation for Knowledge Transfer Across Visual Categories

Vladimir Pavlovic, Behnam Gholami, Ognjen Rudovic, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Discriminative Learning of Mixture of Bayesian Network Classifiers for Sequence Classification

Vladimir Pavlovic, Minyoung Kim, Minyoung Kim, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

THE RELIABILITY OF SELECTIVE OPENCAST MINING

Vladimir Pavlovic, 1995 .

Relevance Factor VAE: Learning and Identifying Disentangled Factors pdf

Vladimir Pavlovic, Minyoung Kim, Yuting Wang, 2019, ArXiv.

Toward multimodal human-computer interface

Vladimir Pavlovic, Thomas S. Huang, R. Sharma, 1998, Proc. IEEE.

Cross-Modal Retrieval and Synthesis (X-MRS): Closing the Modality Gap in Shared Representation Learning pdf

Hai Xuan Pham, Vladimir Pavlovic, Ricardo Guerrero, 2020, 2012.01345.

Multi-cue Structure Preserving MRF for Unconstrained Video Segmentation

Vladimir Pavlovic, Saehoon Yi, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

An integrated framework for adaptive subband image coding

Vladimir Pavlovic, Kannan Ramchandran, Pierre Moulin, 1999, IEEE Trans. Signal Process..

Special issue on vision for human-computer interaction

Vladimir Pavlovic, Thomas S. Huang, Mathias Kölsch, 2007, Comput. Vis. Image Underst..

End-to-end Learning for 3D Facial Animation from Raw Waveforms of Speech pdf

Hai Xuan Pham, Vladimir Pavlovic, Yuting Wang, 2017, ArXiv.

Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement

Vladimir Pavlovic, Minyoung Kim, Pritish Sahu, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Probabilistic Temporal Subspace Clustering

Vladimir Pavlovic, Behnam Gholami, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A Framework for Joint Estimation and Guided Annotation of Facial Action Unit Intensity

Vladimir Pavlovic, Maja Pantic, Ognjen Rudovic, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Structured Learning for Multiple Object Tracking

Vladimir Pavlovic, Xiaoye Han, Wang Yan, 2012, BMVC.

A graphical model framework for coupling MRFs and deformable models

Vladimir Pavlovic, Dimitris N. Metaxas, Rui Huang, 2004, CVPR 2004.

The Role of Data-driven Priors in Multi-agent Crowd Trajectory Estimation pdf

Gang Qiao, Vladimir Pavlovic, Mubbasir Kapadia, 2017, AAAI.

Audio-visual speaker detection using dynamic Bayesian networks

Vladimir Pavlovic, James M. Rehg, Ashutosh Garg, 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).

Covariance Operator Based Dimensionality Reduction with Extension to Semi-Supervised Settings

Vladimir Pavlovic, Minyoung Kim, 2009, AISTATS.

Transform image coding based on joint adaptation of filter banks and tree structures

Vladimir Pavlovic, Kannan Ramchandran, Pierre Moulin, 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity

Vladimir Pavlovic, Maja Pantic, Ognjen Rudovic, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A recursive method for discriminative mixture learning

Vladimir Pavlovic, Minyoung Kim, Minyoung Kim, 2007, ICML '07.

Multim odal Speaker Detect ion Us ing I nput/Output Dynamic Bayesian Networks

Vladimir Pavlovic, James M. Rehg, Compaq Cambridge, 2000 .

A Graphical Model Framework for Image Segmentation

Vladimir Pavlovic, Dimitris N. Metaxas, Rui Huang, 2007, Applied Graph Theory in Computer Vision and Pattern Recognition.

A Bayesian framework for combining gene predictions

Vladimir Pavlovic, Simon Kasif, Ashutosh Garg, 2002, Bioinform..

Using 3D face priors for depth recovery

Chongyu Chen, Hai Xuan Pham, Vladimir Pavlovic, 2017, J. Vis. Commun. Image Represent..

A visual computing environment for very large scale biomolecular modeling

Vladimir Pavlovic, Klaus Schulten, Thomas S. Huang, 1997, Proceedings IEEE International Conference on Application-Specific Systems, Architectures and Processors.

Sparse dictionary methods for EEG signal classification in face perception

Vladimir Pavlovic, Pawan Sinha, Shahriar Shariat, 2010, 2010 IEEE International Workshop on Machine Learning for Signal Processing.

Some new extensions of Banach's contraction principle to partial metric space

Vladimir Pavlovic, Vladimir Rakocevic, Dejan Ilic, 2011, Appl. Math. Lett..

Robust time-series retrieval using probabilistic adaptive segmental alignment

Vladimir Pavlovic, Shahriar Shariat, 2015, Knowledge and Information Systems.

Estimation of Human Figure Motion Using Robust Tracking of Articulated Layers

Vladimir Pavlovic, Kooksang Moon, V. Pavlovic, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction

Yanjun Qi, Vladimir Pavlovic, Jason Weston, 2010, ECML/PKDD.

Discovering characteristic landmarks on ancient coins using convolutional networks

Vladimir Pavlovic, Jongpil Kim, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Private-Shared Disentangled Multimodal VAE for Learning of Hybrid Latent Representations pdf

Vladimir Pavlovic, Mihee Lee, V. Pavlovic, 2020, ArXiv.

Laying the Foundations of Deep Long-Term Crowd Flow Prediction

Vladimir Pavlovic, Sejong Yoon, Samuel S. Sohn, 2020, ECCV.

Discovering characteristic landmarks on ancient coins using convolutional networks

Vladimir Pavlovic, Jongpil Kim, 2016, J. Electronic Imaging.

Real-Time Vision for Human-Computer Interaction

Vladimir Pavlovic, Thomas S. Huang, Branislav Kisacanin, 2010 .

Context-Sensitive Conditional Ordinal Random Fields for Facial Action Intensity Estimation

Vladimir Pavlovic, Maja Pantic, Ognjen Rudovic, 2013, 2013 IEEE International Conference on Computer Vision Workshops.

Efficient discriminative learning of Bayesian network classifier

Vladimir Pavlovic, James M. Rehg, Yushi Jing, 2005 .

Reinforcement Learning for Robust and Efficient Real-World Tracking

Vladimir Pavlovic, Andre Cohen, A. Cohen, 2010, 2010 20th International Conference on Pattern Recognition.

Prediction of Protein Functions with Gene Ontology and Interspecies Protein Homology Data

Vladimir Pavlovic, Bud Mishra, Antonina Mitrofanova, 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Guest Editorial Special Issue on Structured Multi-Output Learning: Modeling, Algorithm, Theory, and Applications

Vladimir Pavlovic, Ivor W. Tsang, Chen Gong, 2020, IEEE Trans. Neural Networks Learn. Syst..

Discovering characteristic landmarks on ancient coins using convolutional networks

Vladimir Pavlovic, Jongpil Kim, 2016, ICPR 2016.

A hybrid face recognition method using Markov random fields

Vladimir Pavlovic, Dimitris N. Metaxas, Rui Huang, 2004, ICPR 2004.

Learning Switching Linear Models of Human Motion

Vladimir Pavlovic, James M. Rehg, John MacCormick, 2000, NIPS.

Context-Sensitive Dynamic Ordinal Regression for Intensity Estimation of Facial Action Units

Vladimir Pavlovic, Maja Pantic, Ognjen Rudovic, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Pose Invariant Activity Classification for Multi-floor Indoor Localization

Vladimir Pavlovic, Tin Kam Ho, Piotr W. Mirowski, 2014, 2014 22nd International Conference on Pattern Recognition.

Unsupervised domain adaptation with copula models

Vladimir Pavlovic, Cuong D. Tran, Ognjen Rudovic, 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).

Predicting Crowd Egress and Environment Relationships to Support Building Design Optimization

Vladimir Pavlovic, Petros Faloutsos, Sejong Yoon, 2020, Comput. Graph..

Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction

Nicu Sebe, Vladimir Pavlovic, Thomas S. Huang, 2005 .

A Shape-Based Approach for Salient Object Detection Using Deep Learning

Vladimir Pavlovic, Jongpil Kim, V. Pavlovic, 2016, ECCV.

Efficient use of unlabeled data for protein sequence classification: a comparative study

Vladimir Pavlovic, Pavel P. Kuksa, Pai-Hsi Huang, 2009, BMC Bioinformatics.

Sequential Dependence and Non-linearity in Affective Responses: a Skin Conductance Example

Vladimir Pavlovic, Maja Pantic, Mihee Lee, 2019, AffComp@IJCAI.

Advanced Signal Processing Techniques for Bioinformatics

Vladimir Pavlovic, David Casasent, Sun Kim, 2006, EURASIP Journal on Advances in Signal Processing.

Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review

Vladimir Pavlovic, Thomas S. Huang, Rajeev Sharma, 1997, IEEE Trans. Pattern Anal. Mach. Intell..

Discriminative models and dimensionality reduction for regression

Vladimir Pavlovic, Minyoung Kim, Minyoung Kim, 2008 .

Distributed Probabilistic Learning for Camera Networks with Missing Data

Vladimir Pavlovic, Sejong Yoon, V. Pavlovic, 2012, NIPS.

Multimodal speaker detection using error feedback dynamic Bayesian networks

Vladimir Pavlovic, James M. Rehg, Thomas S. Huang, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

Discriminative Learning of Dynamical Systems for Motion Tracking

Vladimir Pavlovic, Minyoung Kim, Minyoung Kim, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Fast Motif Selection for Biological Sequences

Vladimir Pavlovic, Pavel P. Kuksa, 2009, 2009 IEEE International Conference on Bioinformatics and Biomedicine.

Speech/Gesture Interface to a Visual-Computing Environment

Vladimir Pavlovic, Klaus Schulten, Thomas S. Huang, 2000, IEEE Computer Graphics and Applications.

Efficient motif finding algorithms for large-alphabet inputs

Vladimir Pavlovic, Pavel P. Kuksa, 2010, BMC Bioinformatics.

Distributed Probabilistic Learning for Camera Networks

Vladimir Pavlovic, Sejong Yoon, V. Pavlovic, 2012 .

Variable-state Latent Conditional Random Field models for facial expression analysis

Vladimir Pavlovic, Maja Pantic, Ognjen Rudovic, 2017, Image Vis. Comput..

Kernel Conditional Ordinal Random Fields for Temporal Segmentation of Facial Action Units

Vladimir Pavlovic, Maja Pantic, Ognjen Rudovic, 2012, ECCV Workshops.

Automatic Pain Intensity Estimation with Heteroscedastic Conditional Ordinal Random Fields

Vladimir Pavlovic, Maja Pantic, Ognjen Rudovic, 2013, ISVC.

A dynamic Bayesian network approach to figure tracking using learned dynamic models

Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

Ancient Coin Recognition Based on Spatial Coding

Vladimir Pavlovic, Jongpil Kim, V. Pavlovic, 2014, 2014 22nd International Conference on Pattern Recognition.

Gestural interface to a visual computing environment for molecular biologists

Vladimir Pavlovic, Thomas S. Huang, Rajeev Sharma, 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

Deep Structured Learning for Facial Action Unit Intensity Estimation

Vladimir Pavlovic, Björn W. Schuller, Maja Pantic, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Gaussian Process for Noisy Inputs with Ordering Constraints

Vladimir Pavlovic, Robert Kopp, Cuong Tran, 2015 .

Categorization of Underwater Habitats Using Dynamic Video Textures

Vladimir Pavlovic, Jun Hu, Han Zhang, 2013, 2013 IEEE International Conference on Computer Vision Workshops.

RankGene: identification of diagnostic genes based on expression data

Vladimir Pavlovic, T. M. Murali, Yang Su, 2003, Bioinform..

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

Vladimir Pavlovic, Dragana S. Cvetkovic-Ilic, V. Pavlovic, 2010, Appl. Math. Comput..

Sentiment Flow for Video Interestingness Prediction

Vladimir Pavlovic, Sejong Yoon, V. Pavlovic, 2014, HuEvent '14.

SHAPE ANALYSIS USING CURVATURE-BASED DESCRIPTORS AND PROFILE HIDDEN MARKOV MODELS

Vladimir Pavlovic, Dimitris N. Metaxas, Rui Huang, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Conditional State Space Models for Discriminative Motion Estimation

Vladimir Pavlovic, Minyoung Kim, Minyoung Kim, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Structured Output Ordinal Regression for Dynamic Facial Emotion Intensity Prediction

Vladimir Pavlovic, Minyoung Kim, Minyoung Kim, 2010, ECCV.

Speech/gesture interface to a visual computing environment for molecular biologists

Vladimir Pavlovic, Klaus Schulten, Thomas S. Huang, 1996, Proceedings of 13th International Conference on Pattern Recognition.

Face tracking and recognition with visual constraints in real-world videos

Vladimir Pavlovic, Sanjiv Kumar, Minyoung Kim, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Ordinal-Content VAE: Isolating Ordinal-Valued Content Factors in Deep Latent Variable Models pdf

Vladimir Pavlovic, Minyoung Kim, Minyoung Kim, 2020, 2020 IEEE International Conference on Data Mining (ICDM).

Protein homology detection with biologically inspired features and interpretable statistical models

Vladimir Pavlovic, Pai-Hsi Huang, 2008, Int. J. Data Min. Bioinform..

Multimodal Speaker Detection Using Input/Output Dynamic Bayesian Networks

Vladimir Pavlovic, James M. Rehg, Ashutosh Garg, 2000, ICMI.

On the Role of Local Matching for Efficient Semi-supervised Protein Sequence Classification

Vladimir Pavlovic, Pavel P. Kuksa, Pai-Hsi Huang, 2008, 2008 IEEE International Conference on Bioinformatics and Biomedicine.

Time-series classification using mixed-state dynamic Bayesian networks

Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Analysis of Causality in Stock Market Data

Vladimir Pavlovic, Chathra Hendahewa, V. Pavlovic, 2012, 2012 11th International Conference on Machine Learning and Applications.

Fast Kernel Methods for SVM Sequence Classifiers

Vladimir Pavlovic, Pavel P. Kuksa, V. Pavlovic, 2007, WABI.

Decentralized Approximate Bayesian Inference for Distributed Sensor Network

Vladimir Pavlovic, Behnam Gholami, Sejong Yoon, 2016, AAAI.

Vladimir Pavlovic, Imdadullah Khan, Pavel P. Kuksa, 2012, SDM 2012.

Dimensionality reduction using covariance operator inverse regression

Vladimir Pavlovic, Minyoung Kim, Minyoung Kim, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Deep Cooking: Predicting Relative Food Ingredient Amounts from Images

Vladimir Pavlovic, Jiatong Li, Ricardo Guerrero, 2019, MADiMa @ ACM Multimedia.

Protein classification using probabilistic chain graphs and the Gene Ontology structure

Vladimir Pavlovic, Steven Carroll, V. Pavlovic, 2006, Bioinform..

Relative spatial features for image memorability

Vladimir Pavlovic, Sejong Yoon, Jongpil Kim, 2013, ACM Multimedia.

Outlier rejection in high-dimensional deformable models

Jorge Stolfi, Vladimir Pavlovic, Siome Goldenstein, 2007, Image Vis. Comput..

Recursive Inference for Variational Autoencoders pdf

Vladimir Pavlovic, Minyoung Kim, Minyoung Kim, 2020, NeurIPS.

Hidden Conditional Ordinal Random Fields for Sequence Classification

Vladimir Pavlovic, Minyoung Kim, 2010, ECML/PKDD.

Intrinsic Non-stationary Covariance Function for Climate Modeling pdf

Vladimir Pavlovic, Robert E. Kopp, Chintan A. Dalal, 2015, ArXiv.

End-to-end Learning for 3D Facial Animation from Speech

Hai Xuan Pham, Vladimir Pavlovic, Yuting Wang, 2018, ICMI.

Extensions of the Zamfirescu theorem to partial metric spaces

Vladimir Pavlovic, Vladimir Rakocevic, Dejan Ilic, 2012, Math. Comput. Model..

Discovering clusters in motion time-series data

Vladimir Pavlovic, George Kollios, Stan Sclaroff, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Preface to Workshop on Real-Time Vision for Human-Computer Interaction

Vladimir Pavlovic, Thomas S. Huang, B. Kisacanin, 2004, CVPR 2004.

Embedded Profile Hidden Markov Models for Shape Analysis

Vladimir Pavlovic, Dimitris N. Metaxas, Rui Huang, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Real-Time Algorithms: From Signal Processing to Computer Vision

Vladimir Pavlovic, Branislav Kisacanin, V. Pavlovic, 2005 .

Proceedings of the 2006 international conference on Computer Vision in Human-Computer Interaction

Nicu Sebe, Vladimir Pavlovic, Thomas S. Huang, 2006 .

A Multimodal framework for Interacting with Virtual Environments

Vladimir Pavlovic, Thomas S. Huang, R. Sharma, 1996 .

Improving Ancient Roman Coin Recognition with Alignment and Spatial Encoding

Vladimir Pavlovic, Jongpil Kim, V. Pavlovic, 2014, ECCV Workshops.

A new spatio-temporal MRF framework for video-based object segmentation

Vladimir Pavlovic, Dimitris N. Metaxas, Rui Huang, 2008 .

Spatio-temporal Context Modeling for BoW-Based Video Classification

Vladimir Pavlovic, Saehoon Yi, V. Pavlovic, 2013, 2013 IEEE International Conference on Computer Vision Workshops.

Impact of dynamic model learning on classification of human motion

Vladimir Pavlovic, James M. Rehg, V. Pavlovic, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

CookGAN: Meal Image Synthesis from Ingredients

Vladimir Pavlovic, Ricardo Guerrero, Fangda Han, 2020, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Boosted learning in dynamic Bayesian networks for multimodal speaker detection

Vladimir Pavlovic, James M. Rehg, Ashutosh Garg, 2003, Proc. IEEE.

Guest Editors' Introduction to the Special Section on Graphical Models in Computer Vision

Vladimir Pavlovic, James M. Rehg, Thomas S. Huang, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

Isotonic CCA for sequence alignment and activity recognition

Vladimir Pavlovic, Shahriar Shariat, 2011, 2011 International Conference on Computer Vision.

Characterizing the relationship between environment layout and crowd movement using machine learning

Vladimir Pavlovic, Weining Liu, Petros Faloutsos, 2017, MIG.

Machine learning in/with information fusion for infrastructure understanding, panel summary

Vladimir Pavlovic, Erik Blasch, Paul Bendich, 2020, Defense + Commercial Sensing.

Dynamic bayesian networks for information fusion with applications to human-computer interfaces

Vladimir Pavlovic, Thomas S. Huang, Thomas S. Huang, 1999 .

Scenario Generalization of Data-driven Imitation Models in Crowd Simulation

Gang Qiao, Vladimir Pavlovic, Sejong Yoon, 2019, MIG.

Integration of audio/visual information for use in human-computer intelligent interaction

Vladimir Pavlovic, Thomas S. Huang, G. A. Berry, 1997, Proceedings of International Conference on Image Processing.

Spatial Representation for Efficient Sequence Classification

Vladimir Pavlovic, Pavel P. Kuksa, V. Pavlovic, 2010, 2010 20th International Conference on Pattern Recognition.

The Art of Food: Meal Image Synthesis from Ingredients pdf

Vladimir Pavlovic, Ricardo Guerrero, Fangda Han, 2019, ArXiv.

A tightly coupled region-shape framework for 3D medical image segmentation

Vladimir Pavlovic, Dimitris N. Metaxas, Rui Huang, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Impact of Dynamics on Subspace Embedding and Tracking of Sequences

Vladimir Pavlovic, Kooksang Moon, V. Pavlovic, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

discovery of common patterns in sequences over large alphabets

Vladimir Pavlovic, Pavel P. Kuksa, 2009 .

Sequence classification via large margin hidden Markov models

Vladimir Pavlovic, Minyoung Kim, Minyoung Kim, 2011, Data Mining and Knowledge Discovery.

Efficient alignment-free DNA barcode analytics

Vladimir Pavlovic, Pavel P. Kuksa, V. Pavlovic, 2009, BMC Bioinformatics.

Model-based motion clustering using boosted mixture modeling

Vladimir Pavlovic, V. Pavlovic, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Discriminative Learning for Dynamic State Prediction

Vladimir Pavlovic, Minyoung Kim, Minyoung Kim, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A shape preserving approach for salient object detection using convolutional neural networks

Vladimir Pavlovic, Jongpil Kim, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

A Generative Model for Depth-Based Robust 3D Facial Pose Tracking

King Ngi Ngan, Vladimir Pavlovic, Jianfei Cai, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Robust Performance-driven 3D Face Tracking in Long Range Depth Scenes pdf

Chongyu Chen, Hai Xuan Pham, Vladimir Pavlovic, 2015, ArXiv.

Machine Learning Methods for Social Signal Processing

Vladimir Pavlovic, Ognjen Rudovic, Mihalis A. Nicolaou, 2017, Social Signal Processing.

Integrative Protein Function Transfer Using Factor Graphs and Heterogeneous Data Sources

Vladimir Pavlovic, Bud Mishra, Antonina Mitrofanova, 2008, 2008 IEEE International Conference on Bioinformatics and Biomedicine.

Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty pdf

Vladimir Pavlovic, Sejong Yoon, Changkyu Song, 2015, AAAI.

Variable-state latent conditional random fields for facial expression recognition and action unit detection

Vladimir Pavlovic, Maja Pantic, Ognjen Rudovic, 2015, 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

Generative Adversarial Talking Head: Bringing Portraits to Life with a Weakly Supervised Neural Network pdf

Hai Xuan Pham, Vladimir Pavlovic, Yuting Wang, 2018, ArXiv.

Dynamic Probabilistic CCA for Analysis of Affective Behavior and Fusion of Continuous Annotations

Vladimir Pavlovic, Maja Pantic, Mihalis A. Nicolaou, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-output Laplacian dynamic ordinal regression for facial expression recognition and intensity estimation

Vladimir Pavlovic, Maja Pantic, Ognjen Rudovic, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Boosted Bayesian network classifiers

Vladimir Pavlovic, James M. Rehg, Yushi Jing, 2008, Machine Learning.

Protein homology detection with sparse models

Vladimir Pavlovic, Pai-Hsi Huang, V. Pavlovic, 2008 .

A Belief Propagation algorithm for bias field estimation and image segmentation

Vladimir Pavlovic, Dimitris N. Metaxas, Nong Sang, 2011, 2011 18th IEEE International Conference on Image Processing.

Sublinear Selection Algorithms for Motif Finding

Vladimir Pavlovic, Pavel P. Kuksa, 2010 .

Dynamic Probabilistic CCA for Analysis of Affective Behaviour

Vladimir Pavlovic, Maja Pantic, Mihalis A. Nicolaou, 2012, ECCV.

Sparse Granger causality graphs for human action classification

Vladimir Pavlovic, Saehoon Yi, V. Pavlovic, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

A Hybrid Framework for Image Segmentation Using Probabilistic Integration of Heterogeneous Constraints

Vladimir Pavlovic, Dimitris N. Metaxas, Rui Huang, 2005, CVBIA.

Stochastic noise Process enhancement of Hopfield neural networks

Vladimir Pavlovic, Dan Schonfeld, Gary Friedman, 2005, IEEE Transactions on Circuits and Systems II: Express Briefs.

Variational Inference for Gaussian Process Models for Survival Analysis

Vladimir Pavlovic, Minyoung Kim, Minyoung Kim, 2018, UAI.

Digital Logic Simulator

Vladimir Pavlovic, Bosko Nikolic, Zarko Stanisavljevic, 2011, 2011 Second Eastern European Regional Conference on the Engineering of Computer Based Systems.

An efficient IP approach to constrained multiple face tracking and recognition

Vladimir Pavlovic, Andre Cohen, A. Cohen, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM pdf

Vladimir Pavlovic, Sejong Yoon, Behnam Babagholami-Mohamadabadi, 2015, ArXiv.

A Profile Hidden Markov Model Framework for Modeling and Analysis of Shape

Vladimir Pavlovic, Dimitris N. Metaxas, Rui Huang, 2006, 2006 International Conference on Image Processing.

A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models

Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, 2000, HSCC.

SDLDS—System for Digital Logic Design and Simulation

Vladimir Pavlovic, Bosko Nikolic, Zarko Stanisavljevic, 2013, IEEE Transactions on Education.

Learning Disentangled Latent Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach pdf

Vladimir Pavlovic, Ricardo Guerrero, Minyoung Kim, 2020, ArXiv.

Fast and accurate multi-class protein fold recognition with spatial sample kernels.

Vladimir Pavlovic, Pai-Hsi Huang, Pavel Kuksa, 2008, Computational systems bioinformatics. Computational Systems Bioinformatics Conference.

Efficient evaluation of large sequence kernels

Vladimir Pavlovic, Pavel P. Kuksa, 2012, KDD.

Hybrid On-Line 3D Face and Facial Actions Tracking in RGBD Video Sequences

Hai Xuan Pham, Vladimir Pavlovic, 2014, 2014 22nd International Conference on Pattern Recognition.

Learning Hypergraph Labeling for Feature Matching pdf

Vladimir Pavlovic, Ahmed M. Elgammal, Toufiq Parag, 2011, ArXiv.

Vladimir Pavlovic, Imdadullah Khan, Pavel P. Kuksa, 2012, SDM.

Picture-to-Amount (PITA): Predicting Relative Ingredient Amounts from Food Images pdf

Vladimir Pavlovic, Ricardo Guerrero, Fangda Han, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

Variational Learning in Mixed-State Dynamic Graphical Models

Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang, 1999, UAI.

Filling in the blanks: reconstructing microscopic crowd motion from multiple disparate noisy sensors

Vladimir Pavlovic, Pritish Sahu, Mubbasir Kapadia, 2016, 2016 IEEE Winter Applications of Computer Vision Workshops (WACVW).

Fast protein homology and fold detection with sparse spatial sample kernels

Vladimir Pavlovic, Pavel P. Kuksa, Pai-Hsi Huang, 2008, 2008 19th International Conference on Pattern Recognition.

Learning Continuous Facial Actions From Speech for Real-Time Animation

Hai Xuan Pham, Vladimir Pavlovic, Yuting Wang, 2022, IEEE Transactions on Affective Computing.

A New Baseline for Image Annotation

Vladimir Pavlovic, Sanjiv Kumar, Ameesh Makadia, 2008, ECCV.

MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANs pdf

Vladimir Pavlovic, Ricardo Guerrero, Fangda Han, 2020, ArXiv.

Attribute rating for classification of visual objects

Vladimir Pavlovic, Jongpil Kim, V. Pavlovic, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Speech-Driven 3D Facial Animation with Implicit Emotional Awareness: A Deep Learning Approach

Hai Xuan Pham, Vladimir Pavlovic, Samuel Cheung, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

A New Adaptive Segmental Matching Measure for Human Activity Recognition

Vladimir Pavlovic, Shahriar Shariat, 2013, 2013 IEEE International Conference on Computer Vision.

Personalized Modeling of Facial Action Unit Intensity

Vladimir Pavlovic, Maja Pantic, Ognjen Rudovic, 2014, ISVC.

Deep Crowd-Flow Prediction in Built Environments pdf

Vladimir Pavlovic, Sejong Yoon, Samuel S. Sohn, 2019, ArXiv.

Robust Real-Time 3D Face Tracking from RGBD Videos under Extreme Pose, Depth, and Expression Variation

Hai Xuan Pham, Vladimir Pavlovic, 2016, 2016 Fourth International Conference on 3D Vision (3DV).

Multimodal tracking and classification of audio-visual features

Vladimir Pavlovic, 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach

Vladimir Pavlovic, Behnam Gholami, Minyoung Kim, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A graphical model framework for coupling MRFs and deformable models

Vladimir Pavlovic, Dimitris N. Metaxas, Rui Huang, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

FASTANDACCURATEMULTI-CLASSPROTEINFOLDRECOGNITIONWITHSPATIAL SAMPLEKERNELS

Vladimir Pavlovic, Pavel P. Kuksa, Pai-Hsi Huang, 2008 .

Improved sequence classification using adaptive segmental sequence alignment

Vladimir Pavlovic, Shahriar Shariat, 2012, ACML.

Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach

Vladimir Pavlovic, Behnam Gholami, Ognjen Rudovic, 2018, IEEE Transactions on Image Processing.

Bayesian networks as ensemble of classifiers

Vladimir Pavlovic, Thomas S. Huang, Ashutosh Garg, 2002, Object recognition supported by user interaction for service robots.

Graphical Models for Human Motion Modelling

Vladimir Pavlovic, Kooksang Moon, 2006, Human Motion.

Copula Ordinal Regression Framework for Joint Estimation of Facial Action Unit Intensity

Vladimir Pavlovic, Maja Pantic, Ognjen Rudovic, 2019, IEEE Transactions on Affective Computing.

Robust real-time performance-driven 3D face tracking

Hai Xuan Pham, Vladimir Pavlovic, Jianfei Cai, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes

Vladimir Pavlovic, James M. Rehg, Yushi Jing, 2005, ICML '05.

A hybrid face recognition method using Markov random fields

Vladimir Pavlovic, Dimitris N. Metaxas, Rui Huang, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Sketch-based Face Editing in Video Using Identity Deformation Transfer pdf

Vladimir Pavlovic, Dimitris N. Metaxas, Mubbasir Kapadia, 2017, Comput. Graph..

Scalable Algorithms for String Kernels with Inexact Matching

Vladimir Pavlovic, Pavel P. Kuksa, Pai-Hsi Huang, 2008, NIPS.

Efficient Deep Gaussian Process Models for Variable-Sized Inputs

Vladimir Pavlovic, Mark W. Schmidt, Mark Schmidt, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis

Vladimir Pavlovic, Kooksang Moon, V. Pavlovic, 2008, 2008 Canadian Conference on Computer and Robot Vision.

Sparse Logistic Classifiers for Interpretable Protien Homology Detection

Vladimir Pavlovic, Pai-Hsi Huang, V. Pavlovic, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

Baselines for Image Annotation

Vladimir Pavlovic, Sanjiv Kumar, Ameesh Makadia, 2010, International Journal of Computer Vision.

Heteroscedastic Conditional Ordinal Random Fields for Pain Intensity Estimation from Facial Images pdf

Vladimir Pavlovic, Maja Pantic, Ognjen Rudovic, 2013, ArXiv.

Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation

Vladimir Pavlovic, Behnam Gholami, Minyoung Kim, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Hand Gesture Modeling, Analysis, and Synthesis

Vladimir Pavlovic, Thomas S. Huang, Thomas S. Huang, 1995 .

Discovering Clusters in Motion Time-Series Data (Preprint)

Vladimir Pavlovic, George Kollios, Stan Sclaroff, 2003 .

Mean field variational inference using bregman ADMM for distributed camera network

Vladimir Pavlovic, Sejong Yoon, Behnam Babagholami-Mohamadabadi, 2015, ICDSC.

Central Subspace Dimensionality Reduction Using Covariance Operators

Vladimir Pavlovic, Minyoung Kim, Minyoung Kim, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Boosting and structure learning in dynamic Bayesian networks for audio-visual speaker detection

Vladimir Pavlovic, James M. Rehg, Alex Pentland, 2002, Object recognition supported by user interaction for service robots.

Boosted learning in dynamic Bayesian networks for multimodal detection

Vladimir Pavlovic, James M. Rehg, Alex Pentland, 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

Computer Vision in Human-Computer Interaction, ECCV 2006 Workshop on HCI, Graz, Austria, May 13, 2006, Proceedings

Nicu Sebe, Vladimir Pavlovic, Thomas S. Huang, 2006, ECCV Workshop on HCI.

Monocular 3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis

Vladimir Pavlovic, Kooksang Moon, 2008 .

A multiple input probabilistic classifier for imbalanced dataset problem in semiconductor manufacturing

Vladimir Pavlovic, Junzo Watada, Mohd Ibrahim Shapiai, 2011 .

Visibility Constrained Generative Model for Depth-Based 3D Facial Pose Tracking

Vladimir Pavlovic, Jianfei Cai, Tat-Jen Cham, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-attribute Pizza Generator: Cross-domain Attribute Control with Conditional StyleGAN pdf

Vladimir Pavlovic, Ricardo Guerrero, Fangda Han, 2021, ArXiv.

Cross-Modal Coherence for Text-to-Image Retrieval pdf

Vladimir Pavlovic, Matthew Stone, Mubbasir Kapadia, 2021, ArXiv.

Cross-modal Retrieval and Synthesis (X-MRS): Closing the Modality Gap in Shared Subspace Learning

Hai Xuan Pham, Vladimir Pavlovic, Ricardo Guerrero, 2020, ACM Multimedia.

DAReN: A Collaborative Approach Towards Reasoning And Disentangling pdf

Vladimir Pavlovic, Pritish Sahu, 2021, ArXiv.

A2X: An Agent and Environment Interaction Benchmark for Multimodal Human Trajectory Prediction

Vladimir Pavlovic, Mubbasir Kapadia, Muhammad Usman, 2021, MIG.

MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction pdf

Vladimir Pavlovic, Mubbasir Kapadia, Samuel S. Sohn, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Reducing the Amortization Gap in Variational Autoencoders: A Bayesian Random Function Approach pdf

Vladimir Pavlovic, Minyoung Kim, Minyoung Kim, 2021, ArXiv.

Learning Disentangled Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach

Vladimir Pavlovic, Minyoung Kim, Ricardo Guerrero, 2021, ACM Multimedia.

CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval

Vladimir Pavlovic, Ricardo Guerrero, Jiatong Li, 2021, AAAI.

Private-Shared Disentangled Multimodal VAE for Learning of Latent Representations

Vladimir Pavlovic, Mihee Lee, V. Pavlovic, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Speech-driven 3 D Facial Animation with Implicit Emotional Awareness : A Deep Learning Approach

Vladimir Pavlovic, Hai X. Pham, Samuel Cheung, 2017 .

Using a marker-less method for estimating L5/S1 moments during symmetrical lifting.

Vladimir Pavlovic, Dimitris N. Metaxas, Shaoting Zhang, 2017, Applied ergonomics.

Robust Real-Time 3 D Face Tracking from RGBD Videos under Extreme Pose , Depth , and Expression Variations

Vladimir Pavlovic, Hai X. Pham, 2017 .

Neural correlates of the food/non-food visual distinction

Vladimir Pavlovic, Hossein Nejati, Pawan Sinha, 2016, Biological Psychology.

1 Machine Learning Methods for Social Signal Processing

Vladimir Pavlovic, Ognjen Rudovic, Mihalis A. Nicolaou, 2014 .

Enhancement of Hopfield neural networks using stochastic noise processes

Vladimir Pavlovic, Dan Schonfeld, V. Pavlovic, 2001, Neural Networks for Signal Processing XI: Proceedings of the 2001 IEEE Signal Processing Society Workshop (IEEE Cat. No.01TH8584).

Deep Structured Learning for Facial Expression Intensity Estimation

Vladimir Pavlovic, Maja Pantic, Ognjen Rudovic, 2017 .

Outlier Rejection in Deformable Model Tracking

Jorge Stolfi, Vladimir Pavlovic, Siome Goldenstein, 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

Function and surface approximation based on enhanced Kernel Regression for small sample sets

Marzuki Khalid, Vladimir Pavlovic, Junzo Watada, 2011 .