V. Pavlovic

发表

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.

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.

Learning Switching Linear Models of Human Motion

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

A New Baseline for Image Annotation

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

Model-based motion clustering using boosted mixture modeling

V. Pavlovic, 2004, CVPR 2004.

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).

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..

A graphical model framework for coupling MRFs and deformable models

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

Regression using Gaussian Process manifold kernel dimensionality reduction

V. Pavlovic, Kooksang Moon, 2008, 2008 IEEE Workshop on Machine Learning for Signal Processing.

Conditional State Space Models for Discriminative Motion Estimation

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

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..

Baselines for Image Annotation

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

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).

A fast , large-scale learning method for protein sequence classification

V. Pavlovic, P. Kuksa, Pai-Hsi Huang, 2008 .

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

Marzuki Khalid, Vladimir Pavlovic, Junzo Watada, 2011 .

Discriminative Learning of Probabilistic Sequence Models for Sequence Labeling Problems

James M. Rehg, Minyoung Kim, V. Pavlovic, 2006 .

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

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

Fast Adaptation of Deep Models for Facial Action Unit Detection Using Model-Agnostic Meta-Learning

V. Pavlovic, M. Pantic, Ognjen Rudovic, 2019 .

Probabilistic Temporal Subspace Clustering Behnam Gholami

V. Pavlovic, 2022 .

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).

Neural correlates of the food/non-food visual distinction

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

Coupled embedding of sequential processes using gaussian process models

V. Pavlovic, Kooksang Moon, 2009 .

L G ] 2 9 Se p 20 17 UNSUPERVISED DOMAIN ADAPTATION WITH COPULA MODELS

V. Pavlovic, Cuong D. Tran, Oggi Rudovic, 2017 .

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

V. Pavlovic, Kooksang Moon, 2008 .

A Graphical Model Framework for Image Segmentation

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

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

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

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

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

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

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

Efficient Sequence Classification with Spatial Representations

V. Pavlovic, P. Kuksa, 2010 .

Spatially-constrained sample kernel for sequence classification

V. Pavlovic, P. Kuksa, Pai-Hsi Huang, 2008 .

Fast and accurate semi-supervised protein homology detection with large uncurated sequence databases

V. Pavlovic, P. Kuksa, Pai-Hsi Huang, 2008 .

DAReN: A Collaborative Approach Towards Reasoning And Disentangling

V. Pavlovic, Pritish Sahu, 2021, ArXiv.

Variational Continual Proxy-Anchor for Deep Metric Learning

Minyoung Kim, V. Pavlovic, Ricardo Guerrero, 2022, AISTATS.

A graphical model framework for coupling MRFs and deformable models

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

SAViR-T: Spatially Attentive Visual Reasoning with Transformers

V. Pavlovic, Pritish Sahu, Kalliopi Basioti, 2022, ECML/PKDD.

HMFS: Hybrid Masking for Few-Shot Segmentation

Samuel S. Sohn, Muhammad Haris Khan, V. Pavlovic, 2022, European Conference on Computer Vision.

Advanced Signal Processing Techniques for Bioinformatics

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

Efficient discriminative learning of Bayesian network classifier

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

Learning Continuous Facial Actions From Speech for Real-Time Animation

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

Laying the Foundations of Deep Long-Term Crowd Flow Prediction

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

Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow Prediction

Samuel S. Sohn, V. Pavlovic, M. Kapadia, 2022, IJCAI.

A2X: An end-to-end framework for assessing agent and environment interactions in multimodal human trajectory prediction

Samuel S. Sohn, V. Pavlovic, Mubbasir Kapadia, 2022, Comput. Graph..

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

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

Machine Learning Methods for Social Signal Processing

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

Real-Time Algorithms: From Signal Processing to Computer Vision

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

SAViR-T: Spatially Attentive Visual Reasoning with Transformers

V. Pavlovic, Pritish Sahu, Kalliopi Basioti, 2022, ECML/PKDD.

Fast and Effective Adaptation of Facial Action Unit Detection Deep Model

V. Pavlovic, M. Pantic, Ognjen Rudovic, 2019, ArXiv.

D2F2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation

V. Pavlovic, Ricardo Guerrero, Yuting Wang, 2022, IEEE Workshop/Winter Conference on Applications of Computer Vision.

MSI: Maximize Support-Set Information for Few-Shot Segmentation

Samuel S. Sohn, Honglu Zhou, Mubbasir Kapadia, 2022, 2212.04673.

DAReN: A Collaborative Approach Towards Visual Reasoning And Disentangling

V. Pavlovic, Pritish Sahu, Kalliopi Basioti, 2022, 2022 26th International Conference on Pattern Recognition (ICPR).

Efficient Discovery of Common Patterns in Sequences

V. Pavlovic, P. Kuksa, 2009 .

Learning Hypergraph Labeling for Feature Matching pdf

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

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.

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.

Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty pdf

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

Variational Learning in Mixed-State Dynamic Graphical Models

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

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

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

Structured Output Ordinal Regression for Dynamic Facial Emotion Intensity Prediction

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

Central Subspace Dimensionality Reduction Using Covariance Operators

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

Toward multimodal human-computer interface

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

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).

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

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

Protein classification using probabilistic chain graphs and the Gene Ontology structure

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

Protein homology detection with sparse models

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

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).

Efficient alignment-free DNA barcode analytics

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

An integrated framework for adaptive subband image coding

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

Recipe Generation from Small Samples: Incorporating an Improved Weighted Kernel Regression with Correlation Factor

Marzuki Khalid, Mohd Ibrahim Shapiai, Zuwairie Ibrahim, 2011, ICSECS.

A Non-linear Function Approximation from Small Samples Based on Nadaraya-Watson Kernel Regression

Marzuki Khalid, Mohd Ibrahim Shapiai, Zuwairie Ibrahim, 2010, 2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks.

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..

Relevance Factor VAE: Learning and Identifying Disentangled Factors pdf

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

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

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

Protein homology detection using sparse profile hidden Markov models

V. Pavlovic, A. Kister, Pai-Hsi Huang, 2005 .

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

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

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

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

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).

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.

Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach

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

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

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

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 Shape-Based Approach for Salient Object Detection Using Deep Learning

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

Reinforcement Learning for Robust and Efficient Real-World Tracking

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

CookGAN: Meal Image Synthesis from Ingredients

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

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

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

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).

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.

Boosted learning in dynamic Bayesian networks for multimodal speaker detection

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

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

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

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.

Deep Structured Learning for Facial Expression Intensity Estimation

Vladimir Pavlovic, Maja Pantic, Ognjen Rudovic, 2017 .

Identifying Multimodal Context Awareness Requirements for Supporting User Interaction with Procedural Videos

V. Pavlovic, A. Fazly, K. Truong, 2023, CHI.

Cross-Modal Coherence for Text-to-Image Retrieval

V. Pavlovic, Matthew Stone, Mubbasir Kapadia, 2021, AAAI.

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

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

Sentiment Flow for Video Interestingness Prediction

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

Relative spatial features for image memorability

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

Analysis of Causality in Stock Market Data

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

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).

Fast Kernel Methods for SVM Sequence Classifiers

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

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

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

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.

Spatial Representation for Efficient Sequence Classification

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

Robust time-series retrieval using probabilistic adaptive segmental alignment

V. Pavlovic, Shahriar Shariat, 2016, Knowledge and Information Systems.

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).

MSI: Maximize Support-Set Information for Few-Shot Segmentation

Samuel S. Sohn, Muhammad Haris Khan, V. Pavlovic, 2022, ArXiv.

Boosted Bayesian network classifiers

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

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

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

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).

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.

Heterogeneous Crowd Simulation Using Parametric Reinforcement Learning

P. Faloutsos, V. Pavlovic, G. Berseth, 2021, IEEE Transactions on Visualization and Computer Graphics.

Outlier rejection in high-dimensional deformable models

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

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.

Attribute rating for classification of visual objects

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

A recursive method for discriminative mixture learning

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

A Multimodal framework for Interacting with Virtual Environments

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

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).

Dimensionality reduction using covariance operator inverse regression

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

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..

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).

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

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

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.

Cross-modal Retrieval and Synthesis (X-MRS): Closing the modality gap in shared subspace

V. Pavlovic, Ricardo Guerrero, Hai Pham, 2020, ArXiv.

CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval

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

Spatio-temporal Context Modeling for BoW-Based Video Classification

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

Deep Cooking: Predicting Relative Food Ingredient Amounts from Images

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

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

Visual Semantic Parsing: From Images to Abstract Meaning Representation

V. Pavlovic, A. Fazly, Federico Fancellu, 2022, CONLL.

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).

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

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

Scalable Algorithms for String Kernels with Inexact Matching

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

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.

Sequence classification via large margin hidden Markov models

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

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).

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

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

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

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

Real-Time Vision for Human-Computer Interaction

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

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

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

Learning from Synthetic Human Group Activities

Samuel S. Sohn, V. Pavlovic, M. Kapadia, 2023, ArXiv.

The Art of Food: Meal Image Synthesis from Ingredients pdf

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

Predicting Crowd Egress and Environment Relationships to Support Building Design Optimization

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

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

Minyoung Kim, V. Pavlovic, Pritish Sahu, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Bayesian networks as ensemble of classifiers

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

Discriminative Learning of Dynamical Systems for Motion Tracking

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

Ancient Coin Recognition Based on Spatial Coding

Vladimir Pavlovic, Jongpil Kim, V. Pavlovic, 2014, 2014 22nd 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.

NP-Match: When Neural Processes meet Semi-Supervised Learning

Thomas Lukasiewicz, V. Pavlovic, Jianfeng Wang, 2022, ICML.

NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation

Thomas Lukasiewicz, V. Pavlovic, Jianfeng Wang, 2023, ICML.

Improving Ancient Roman Coin Recognition with Alignment and Spatial Encoding

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

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).

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.

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.

Recursive Inference for Variational Autoencoders pdf

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

Multimodal Speaker Detection Using Input/Output Dynamic Bayesian Networks

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

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

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

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.

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

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

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.

A hybrid face recognition method using Markov random fields

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

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.

Discriminative Learning for Dynamic State Prediction

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

Distributed Probabilistic Learning for Camera Networks with Missing Data

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

Distributed Probabilistic Learning for Camera Networks

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

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

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

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.

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

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

Intrinsic Non-stationary Covariance Function for Climate Modeling pdf

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

Decentralized Approximate Bayesian Inference for Distributed Sensor Network

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

Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach

Konstantinos Bousmalis, V. Pavlovic, Ognjen Rudovic, 2018, IEEE Transactions on Image Processing.

Variational Inference for Gaussian Process Models for Survival Analysis

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

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).

Dynamic Probabilistic CCA for Analysis of Affective Behaviour

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

Hand Gesture Modeling, Analysis, and Synthesis

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

MSI: Maximize Support-Set Information for Few-Shot Segmentation

Samuel S. Sohn, Muhammad Haris Khan, V. Pavlovic, 2022, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Discriminative models and dimensionality reduction for regression

Vladimir Pavlovic, Minyoung Kim, Minyoung Kim, 2008 .

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).

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).

Multimodal Tracking and Classi(cid:12)cation of Audio-Visual Features

V. Pavlovic, Thomas S. Huang, 1999 .

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.

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

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

Learning from Synthetic Human Group Activities

Samuel S. Sohn, V. Pavlovic, M. Kapadia, 2023, ArXiv.

D2F2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation

V. Pavlovic, Ricardo Guerrero, Yuting Wang, 2022, IEEE Workshop/Winter Conference on Applications of Computer Vision.

An Information-Theoretic Approach for Estimating Scenario Generalization in Crowd Motion Prediction

Samuel S. Sohn, V. Pavlovic, M. Kapadia, 2022, ArXiv.