Vladimir Pavlovic

2007
38	EE	Minyoung Kim, Vladimir Pavlovic: Discriminative Learning of Dynamical Systems for Motion Tracking. CVPR 2007
37	EE	Minyoung Kim, Vladimir Pavlovic: A recursive method for discriminative mixture learning. ICML 2007: 409-416
36	EE	Pavel Kuksa, Vladimir Pavlovic: Fast Kernel Methods for SVM Sequence Classifiers. WABI 2007: 228-239
35	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
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

Coauthor Index

1	Jonathan Alon	[21]
2	G. A. Berry	[3]
3	Steven Carroll	[27]
4	Tat-Jen Cham	[7] [12]
5	Tanzeem Choudhury	[17]
6	Stephen M. Chu	[4] [9]
7	A. Dalke	[4]
8	William T. Freeman	[19]
9	Brendan J. Frey	[6] [8]
10	Aphrodite Galata	[33]
11	Ashutosh Garg	[11] [13] [14] [16] [18]
12	Siome Goldenstein (Siome Klein Goldenstein)	[34]
13	Pai-Hsi Huang	[30]
14	Rui Huang	[22] [23] [26] [28] [29] [35]
15	Thomas S. Huang	[1] [2] [3] [4] [6] [8] [9] [14] [18] [19] [33]
16	W. Humphrey	[4]
17	Yushi Jing	[25]
18	Simon Kasif	[16] [20]
19	Minyoung Kim	[31] [37] [38]
20	Branislav Kisacanin	[33]
21	George Kollios	[21]
22	Mathias Kölsch	[33]
23	Pavel Kuksa	[36]
24	Michael S. Lew	[33]
25	Zion Lo	[4] [9]
26	John MacCormick	[10]
27	Dimitris N. Metaxas	[22] [23] [26] [28] [29] [34] [35]
28	Kooksang Moon	[32]
29	T. M. Murali	[20]
30	Kevin P. Murphy	[7]
31	Alex Pentland (Sandy Pentland)	[17]
32	James C. Phillips	[4] [9]
33	James M. Rehg	[7] [10] [11] [12] [13] [14] [15] [17] [19] [25]
34	Michael Schaffer	[20]
35	Klaus Schulten	[4] [9]
36	Stan Sclaroff	[21]
37	Nicu Sebe	[33]
38	Rajeev Sharma	[1] [2] [4] [9]
39	Jorge Stolfi	[34]
40	Yang Su	[20]
41	Christian Vogler	[34]
42	Michael Zeller	[4] [9]
43	Yunxin Zhao	[4] [9]

Colors in the list of coauthors