Research


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  • Earlier work:

    • Face Recognition

    • Dimensionality reduction and subspace analysis

    • Image Mosaicing

 

  • Publications:

  1. A New Spatio-Temporal MRF Framework for Video-based Object Segmentation
     Rui Huang, Vladimir Pavlovic, and Dimitris N. Metaxas
    in Proceedings of MLVMA'08, in conjunction with ECCV'08, 2008.
     
  2. A Variational Level Set Approach to Segmentation and Bias Correction of Images with Intensity Inhomogeneity
     Chunming Li, Rui Huang, Zhaohua Ding, Chris Gatenby, Dimitris Metaxas, and John Gore
    in Proceedings of MICCAI, 1083-1091, 2008.
     
  3. Embedded Profile Hidden Markov Models for Shape Analysis
     Rui Huang, Vladimir Pavlovic, and Dimitris N. Metaxas
    in Proceedings of ICCV, 2007.
     
  4. A Novel Tag Removal Technique for Tagged Cardiac MRI and its Applications
    Zhen Qian, Rui Huang, Dimitris N. Metaxas and Leon Axel
    in Proceedings of ISBI, 364-367, 2007.
     
  5. Shape Analysis Using Curvature-Based Descriptors and Profile Hidden Markov Models
    Rui Huang, Vladimir Pavlovic, and Dimitris N. Metaxas
    in Proceedings of ISBI, 1220-1223, 2007.
     
  6. A Graphical Model Framework for Image Segmentation
    Rui Huang, Vladimir Pavlovic, and Dimitris N. Metaxas
    Applied Graph Theory in Computer Vision and Pattern Recognition, 43-63, Springer, 2007.
     
  7. A Profile Hidden Markov Model Framework for Modeling and Analysis of Shape
     Rui Huang, Vladimir Pavlovic, and Dimitris N. Metaxas
    in Proceedings of ICIP, 2121-2124, 2006.
     
  8. A Tightly Coupled Region-Shape Framework for 3D Medical Image Segmentation
     Rui Huang, Vladimir Pavlovic, and Dimitris N. Metaxas
    in Proceedings of ISBI, 426-429, 2006.
     
  9. Hybrid Framework for Image Segmentation Using Probabilistic Integration of Heterogeneous Constraints
     Rui Huang, Vladimir Pavlovic, and Dimitris N. Metaxas
    in Proceedings of CVBIA'05 (LNCS 3765), 82-92, in conjunction with ICCV'05, 2005.
     
  10. Deformable-Model Based Textured Object Segmentation
    Xiaolei Huang, Zhen Qian, Rui Huang, and Dimitris N. Metaxas
    in Proceedings of EMMCVPR'05 (LNCS 3757), 119-135, 2005.
     
  11. A Graphical Model Based Image Segmentation Method
     Rui Huang, Vladimir Pavlovic, and Dimitris N. Metaxas
    poster presented at BMES, 2004.
     
  12. A Hybrid Face Recognition Method using Markov Random Fields
     Rui Huang, Vladimir Pavlovic, and Dimitris N. Metaxas
    in Proceedings of ICPR'04, Vol. 3, 157-160, 2004.
     
  13. A Graphical Model Framework for Coupling MRFs and Deformable Models
     Rui Huang, Vladimir Pavlovic, and Dimitris N. Metaxas
    in Proceedings of CVPR'04, Vol. 2, 739-746, 2004. See some results here.
     
  14. Kernel-Based Nonlinear Discriminant Analysis for Face Recognition
    Qingshan Liu, Rui Huang, Hanqing Lu, and Songde Ma;
    in Journal of Computer Science and Technology, Vol. 18, No. 6, 788-795, Nov, 2003.
     
  15. Solving the Small Sample Size Problem of LDA
    Rui Huang, Qingshan Liu, Hanqing Lu, and Songde Ma
    in Proceedings of ICPR'02, Vol. 3, 29-32, 2002.
     
  16. Kernel-Based Optimized Feature Vectors Selection and Discriminant Analysis for Face Recognition
    Qingshan Liu, Rui Huang, Hanqing Lu, and Songde Ma
    in Proceedings of ICPR'02, Vol. 2, 362-365, 2002.
     
  17. Face Recognition Using Kernel-Based Fisher Discriminant Analysis
     Qingshan Liu, Rui Huang, Hanqing Lu, and Songde Ma
    in Proceedings of FGR'02, 187-191, 2002.
 
  • Theses:
  1. Graphical Models for Object Segmentation
    Advisor: Dimitris N. Metaxas, and Vladimir Pavlovic
    Ph.D. Thesis, Department of Computer Science, Rutgers University, 2008.
  2. Subspace Analysis Methods for Face Recognition
    Advisor: Songde Ma
    M.Eng. Thesis, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 2002.
     
  3. Genetic Algorithms-based Image Mosaicing Method and Implementation
    Advisor: Songde Ma
    B.Sc. Thesis, Department of Computer Science and Technology, Peking University; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 1999.