2008 | ||
---|---|---|
49 | EE | Minyoung Kim, Vladimir Pavlovic: Dimensionality reduction using covariance operator inverse regression. CVPR 2008 |
48 | EE | Minyoung Kim, Sanjiv Kumar, Vladimir Pavlovic, Henry A. Rowley: Face tracking and recognition with visual constraints in real-world videos. CVPR 2008 |
47 | EE | Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar: A New Baseline for Image Annotation. ECCV (3) 2008: 316-329 |
46 | EE | Pavel P. Kuksa, Pai-Hsi Huang, Vladimir Pavlovic: Fast protein homology and fold detection with sparse spatial sample kernels. ICPR 2008: 1-4 |
45 | EE | Pavel P. Kuksa, Pai-Hsi Huang, Vladimir Pavlovic: Scalable Algorithms for String Kernels with Inexact Matching. NIPS 2008: 881-888 |
44 | EE | Pai-Hsi Huang, Vladimir Pavlovic: Protein homology detection with biologically inspired features and interpretable statistical models. IJDMB 2(2): 157-175 (2008) |
43 | EE | Yushi Jing, Vladimir Pavlovic, James M. Rehg: Boosted Bayesian network classifiers. Machine Learning 73(2): 155-184 (2008) |
2007 | ||
42 | EE | Minyoung Kim, Vladimir Pavlovic: Discriminative Learning of Dynamical Systems for Motion Tracking. CVPR 2007 |
41 | EE | Minyoung Kim, Vladimir Pavlovic: Conditional State Space Models for Discriminative Motion Estimation. ICCV 2007: 1-8 |
40 | EE | Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas: Embedded Profile Hidden Markov Models for Shape Analysis. ICCV 2007: 1-8 |
39 | EE | Minyoung Kim, Vladimir Pavlovic: A recursive method for discriminative mixture learning. ICML 2007: 409-416 |
38 | EE | Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas: Shape Analysis Using Curvature-Based Descriptors and Profile Hidden Markov Models. ISBI 2007: 1220-1223 |
37 | EE | Pavel P. Kuksa, Vladimir Pavlovic: Fast Kernel Methods for SVM Sequence Classifiers. WABI 2007: 228-239 |
36 | EE | Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas: A Graphical Model Framework for Image Segmentation. Applied Graph Theory in Computer Vision and Pattern Recognition 2007: 43-63 |
35 | EE | Mathias Kölsch, Vladimir Pavlovic, Branislav Kisacanin, Thomas S. Huang: Special issue on vision for human-computer interaction. Computer Vision and Image Understanding 108(1-2): 1-3 (2007) |
34 | EE | Christian Vogler, Siome Goldenstein, Jorge Stolfi, Vladimir Pavlovic, Dimitris N. Metaxas: Outlier rejection in high-dimensional deformable models. Image Vision Comput. 25(3): 274-284 (2007) |
2006 | ||
33 | Thomas S. Huang, Nicu Sebe, Michael S. Lew, Vladimir Pavlovic, Mathias Kölsch, Aphrodite Galata, Branislav Kisacanin: Computer Vision in Human-Computer Interaction, ECCV 2006 Workshop on HCI, Graz, Austria, May 13, 2006, Proceedings Springer 2006 | |
32 | EE | Kooksang Moon, Vladimir Pavlovic: Impact of Dynamics on Subspace Embedding and Tracking of Sequences. CVPR (1) 2006: 198-205 |
31 | EE | Minyoung Kim, Vladimir Pavlovic: Discriminative Learning of Mixture of Bayesian Network Classifiers for Sequence Classification. CVPR (1) 2006: 268-275 |
30 | EE | Pai-Hsi Huang, Vladimir Pavlovic: Sparse Logistic Classifiers for Interpretable Protien Homology Detection. ICDM Workshops 2006: 99-103 |
29 | EE | Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas: A Profile Hidden Markov Model Framework for Modeling and Analysis of Shape. ICIP 2006: 2121-2124 |
28 | EE | Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas: A tightly coupled region-shape framework for 3D medical image segmentation. ISBI 2006: 426-429 |
27 | EE | Steven Carroll, Vladimir Pavlovic: Protein classification using probabilistic chain graphs and the Gene Ontology structure. Bioinformatics 22(15): 1871-1878 (2006) |
2005 | ||
26 | EE | Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas: A Hybrid Framework for Image Segmentation Using Probabilistic Integration of Heterogeneous Constraints. CVBIA 2005: 82-92 |
25 | EE | Yushi Jing, Vladimir Pavlovic, James M. Rehg: Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes. ICML 2005: 369-376 |
2004 | ||
24 | EE | Vladimir Pavlovic: Model-Based Motion Clustering Using Boosted Mixture Modeling. CVPR (1) 2004: 811-818 |
23 | EE | Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas: A Graphical Model Framework for Coupling MRFs and Deformable Models. CVPR (2) 2004: 739-746 |
22 | EE | Rui Huang, Dimitris N. Metaxas, Vladimir Pavlovic: A Hybrid Face Recognition Method using Markov Random Fields. ICPR (3) 2004: 157-160 |
2003 | ||
21 | EE | Jonathan Alon, Stan Sclaroff, George Kollios, Vladimir Pavlovic: Discovering Clusters in Motion Time-Series Data. CVPR (1) 2003: 375-381 |
20 | Yang Su, T. M. Murali, Vladimir Pavlovic, Michael Schaffer, Simon Kasif: RankGene: identification of diagnostic genes based on expression data. Bioinformatics 19(12): 1578-1579 (2003) | |
19 | EE | James M. Rehg, Vladimir Pavlovic, Thomas S. Huang, William T. Freeman: Guest Editors' Introduction to the Special Section on Graphical Models in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 25(7): 785-786 (2003) |
2002 | ||
18 | EE | Ashutosh Garg, Vladimir Pavlovic, Thomas S. Huang: Bayesian Networks as Ensemble of Classifiers. ICPR (2) 2002: 779-784 |
17 | EE | Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovic, Alex Pentland: Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection. ICPR (3) 2002: 789- |
16 | Vladimir Pavlovic, Ashutosh Garg, Simon Kasif: A Bayesian framework for combining gene predictions. Bioinformatics 18(1): 19-27 (2002) | |
2000 | ||
15 | EE | Vladimir Pavlovic, James M. Rehg: Impact of Dynamic Model Learning on Classification of Human Motion. CVPR 2000: 1788-1795 |
14 | EE | Vladimir Pavlovic, James M. Rehg, Ashutosh Garg, Thomas S. Huang: Multimodal Speaker Detection Using Error Feedback Dynamic Bayesian Networks. CVPR 2000: 2034- |
13 | EE | Ashutosh Garg, Vladimir Pavlovic, James M. Rehg: Audio-Visual Speaker Detection Using Dynamic Bayesian Networks. FG 2000: 384-390 |
12 | EE | Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham: A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models. HSCC 2000: 366-380 |
11 | EE | Vladimir Pavlovic, Ashutosh Garg, James M. Rehg: Multimodal Speaker Detection Using Input/Output Dynamic Bayesian Networks. ICMI 2000: 308-316 |
10 | Vladimir Pavlovic, James M. Rehg, John MacCormick: Learning Switching Linear Models of Human Motion. NIPS 2000: 981-987 | |
9 | EE | Rajeev Sharma, Michael Zeller, Vladimir Pavlovic, Thomas S. Huang, Zion Lo, Stephen M. Chu, Yunxin Zhao, James C. Phillips, Klaus Schulten: Speech/Gesture Interface to a Visual-Computing Environment. IEEE Computer Graphics and Applications 20(2): 29-37 (2000) |
1999 | ||
8 | EE | Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang: Time-Series Classification Using Mixed-State Dynamic Bayesian Networks. CVPR 1999: 2609- |
7 | EE | Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Kevin P. Murphy: A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models. ICCV 1999: 94-101 |
6 | EE | Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang: Variational Learning in Mixed-State Dynamic Graphical Models. UAI 1999: 522-530 |
1998 | ||
5 | Vladimir Pavlovic: Multimodal Tracking and Classification of Audio-Visual Features. ICIP (1) 1998: 343-347 | |
1997 | ||
4 | EE | Michael Zeller, James C. Phillips, A. Dalke, W. Humphrey, Klaus Schulten, Thomas S. Huang, Vladimir Pavlovic, Yunxin Zhao, Zion Lo, Stephen M. Chu, Rajeev Sharma: A Visual Computing Environment for Very Large Scale Biomolecular Modeling. ASAP 1997: 3- |
3 | EE | Vladimir Pavlovic, G. A. Berry, Thomas S. Huang: Integration of Audio/Visual Information for Use in Human-Computer Intelligent Interaction. ICIP (1) 1997: 121-124 |
2 | EE | Vladimir Pavlovic, Rajeev Sharma, Thomas S. Huang: Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review. IEEE Trans. Pattern Anal. Mach. Intell. 19(7): 677-695 (1997) |
1996 | ||
1 | EE | Vladimir Pavlovic, Rajeev Sharma, Thomas S. Huang: Invited Speech: "Gestural Interface to a visual computing Environment for Molecular biologists". FG 1996: 30-37 |