Probabilistic Graphical Models and Their Applications (download some of the papers from here)

1. Lei Zhang and Qiang Ji, Probabilistic Image Modeling with an Extended Chain Graph for Human Activity Recognition and Image Segmentation, IEEE Transactions on Image Processing (TIP), pages 2401-2413, VOL. 20, NO. 9, SEPTEMBER 2011

2. Lei Zhang and Qiang Ji, A Bayesian Network Model for Automatic and Interactive Image Segmentation, IEEE Transactions on Image Processing (TIP), Issue 9, Pages 2582-2593, Vol. 20, 2011

3. Cassio de Campos and Qiang Ji, Efficient Structure Learning of Bayesian Networks using Constraints, Journal of Machine Learning Research 12 (2011) 663-689.

4. Cassio De Campos and Qiang Ji, Bayesian Networks and the Imprecise Dirichlet Model applied to Recognition Problems, the 11th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011.

5. Cassio de Campos and Qiang Ji, Properties of Bayesian Dirichlet scores to learn Bayesian network structures, AAAI, 2010

6. Zhi Zeng and Qiang Ji, Knowledge based Activity Recognition with Dynamic Bayesian Network, ECCV 2010.

7. Cassio de Campos, Zhi Zeng, Qiang Ji, An Improved Structural EM to Learn Dynamic Bayesian Nets, International Conference on Pattern Recognition, 2010

8. Lei Zhang and Qiang Ji, Image Segmentation with a Unified Graphical Model, IEEE Transactions on Pattern Analysis and Machine Intelligence, Issue 8, Vol.32, pages 1406-1425, 2010

9. Yan Tong, Jixu Chen and Qiang Ji, A Unified Probabilistic Framework for Spontaneous Facial Action Modeling and Understanding, IEEE Transactions on Pattern Analysis and Machine Intelligence, p258-274, Vol. 32, No. 2, February,2010

10. Qiang Ji, Jiebo Luo, Dimitris Metaxas, Antonio Torralba, Thomas S. Huang, and Erik B. Sudderth, Guest Editors' Introduction to the Special Section on Probabilistic Graphical Models in Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, Oct., 2009.

11. Cassio de Campos, Zhi Zeng, and Qiang Ji, Structure Learning of Bayesian Networks using Constraints, International Conference on Machine Learning (ICML), 2009.

12. Wenhui Liao and Qiang Ji, Learning Bayesian Network Parameters Under Incomplete Data with Qualitative Domain Knowledge, Pattern Recognition, Volume 42 , Issue 11, Pages 3046-3056, 2009

13. Lei Zhang and Qiang Ji, A Multiscale Hybrid Model Exploiting Heterogeneous Contextual Relationships for Image Segmentation, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2009.

14. Cassio de Campos and Qiang Ji, Improving Bayesian Network Parameter Learning using Constraints, International Conference in Pattern Recognition (ICPR), 2008.

15. Wenhui Liao and Qiang Ji, Exploiting Qualitative Domain Knowledge for Learning Bayesian Network Parameters with Incomplete Data, International Conference in Pattern Recognition (ICPR), 2008.

16. Cassio de Campos and Qiang Ji, Strategy Selection in Influence Diagrams using Imprecise Probabilities, the 24th Conference on Uncertainty in Artificial Intelligence (UAI), 2008.

17. Cassio de Campos, Yan Tong, and Qiang Ji, Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition, European Conference on Computer Vision (ECCV),2008.

18. Wenhui Liao and Qiang Ji, Efficient Non-myopic Value-of-Information Computation for Influence Diagrams, International Journal on Approximate Reasoning, vol. 49, no. 2, pp. 436-450, 2008.

19. Yan Tong and Qiang Ji, Learning Bayesian Networks with Qualitative Constraints, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.

20. Lei Zhang and Qiang Ji, Segmentation of Video Sequences using Spatial-temporal Conditional Random Fields, IEEE Workshop on Motion and Video Computing, 2008.

21. Semi-Qualitative Probabilistic Networks in Computer Vision Problems, Cassio P. de Campos, Lei Zhang, Yan Tong, and Qiang Ji, Special issue on imprecision, Journal of Statistical Theory and Practice, v. 3(1), p. 197-210, 2009.

22. Yan Tong, Wenhui Liao, Zheng Xue and Qiang Ji, A Unified Probabilistic Graphical Model for Spontaneous Facial Activity Modeling and Understanding, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007.

23. Yongmian Zhang and Qiang Ji, Active and Dynamic Information Fusion for Multisensor Systems under Dynamic Bayesian Networks, IEEE Transactions on Systems, Man, and Cybernetics B, April, 2006.

24. Weihong Zhang and Qiang Ji, A Factorization Approach To Evaluating Simultaneous Influence Diagrams, IEEE Transactions on Systems, Man, and Cybernetics A, p746-754, Vol. 36, No. 4, July, 2006.

25. Yongmian Zhang, and Qiang Ji, Facial Expression Recognition with Dynamic Bayesian Networks, IEEE Transactions on Pattern Recognition and Machine Intelligence, Vol. 27, No. 5, 2005.

26. Peng Wang and Qiang Ji, Multi-View Face Tracking with Factorial and Switching HMM, IEEE Workshop on the Applications of Computer Vision (WACV), 2005.

27. Yang Wang and Qiang Ji, A Dynamic Conditional Random Field Model for Object Segmentation in Image Sequences, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), San Diego, CA, June 2005.

28. Wenhui Liao, Weihong Zhang, and Qiang Ji, A Factor Tree Inference Algorithm for Bayesian Networks and its Application, the 16th IEEE International Conference on Tools with Artificial Intelligence, Nov., 2004.