Home>>Academic Activity>>2006 NSFC-LHI Dragonstar Course>>Zhuo-Wen Tu

Stochastic computing and machine learning

Lecturer: Zhuo-Wen Tu

 

5 topics：

Lecture 1  Computing discriminative models 

(Decision tree, Support Vector machine, C4.5, Bagging, AdaBoost, RealBoost)
Lecture 2  Modeling hierarchical priors          
(Dirichlet process, Chinese restaurant process, scene and object modeling)
Lecture 3  MCMC computing  
(Gibbs sampler, MCMC convergence analysis, Exact sampling)
Lecture 4  Data-driven Markov chain Monte Carlo  
(Image segmentation/parsing, Swendsen-Wang, Swnedsen-Wang Cuts and its generalization)
Lecture 5  Discriminative and generative computing for medical image analysis  
(Object detection, brain image segmentation, cortical structure detection)

 

Curriculum Vitae
Zhuowen Tu
Address:
Lab of Neuro Imaging
635 Charles E. Young Drive South
     Suite 225
    Los Angeles, CA 90095-733222
 
Tel: 310-206-2101
     Email: ztu [ at ] stat [dot] ucla [dot] edu 
                 zhuowen.tu [ at] loni. ucla. edu          
   
Educations: 

Ph.D.-2002:  The Ohio State University, Dept. of Computer & Information Science

M.E. -1996:  Tsinghua University, Dept. of Civil Engineering

B.E.  -1993:  Beijing Information Technology Institute, Dept. of Electronic Engineering

Publications:     

     Journals

  • Zhuowen Tu and Song-Chun Zhu "Parsing Images into Regions, Curves, and Curve Groups", (in press) International Journal of Computer Vision. 

  • Feng Han, Zhuowen Tu, and Song-Chun Zhu, "Range Image Segmentation by an Efficient Jump-Diffusion Method", IEEE Trans. on Pattern Analysis and Machine Intelligence, Sept. 2004. (a short version appeared in ECCV 2002)

  • Zhuowen Tu, Xiangrong Chen, Alan Yuille, and Song-Chun Zhu, "Image Parsing: Unifying Segmentation, Detection, and Object Recognition"  (Marr Prize Issue, a short version appeared in ICCV 2003), International Journal of Computer Vision, 2005.

  • Zhuowen Tu and Song-Chun Zhu, "Image Segmentation by Data-Driven Markov Chain Monte Carlo", IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 24, No. 5, May, 2002.  (a short version appeared in ICCV 2001) 

  • Zhuowen Tu and Ronxing Li, "A Framework for Automatic Recognition of Spatial Features from Mobile Mapping Imagery", Journal of Photogrammetric Engineering and Remote Sensing, Vol. 68, No. 3,  March, 2002.

      Selected Conferences

  1. Zhuowen Tu, Xiang (Sean) Zhou, Adrian Barbu, Luca Bogoni, and Dorin Comaniciu, "Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment", IEEE Computer Vision and Pattern Recognition (CVPR), June, 2006.

  2. Piotr Dollár, Zhuowen Tu, and Serge Belongie, "Supervised Learning of Edges and Object Contours", IEEE Computer Vision and Pattern Recognition (CVPR), June, 2006.

  3. Zhuowen Tu, Xiang (Sean) Zhou, Dorin Comaniciu, and Luca Bogoni, "A Learning Based Approach for 3D Segmentation and Colon Detagging", 9th European Conf. on Computer Vision (ECCV), May 2006.

  4. Zhuowen Tu, "An Integrated Frmework for Image Segmentation and Perceptual Grouping", 10th IEEE International Conference on Computer Vision (ICCV), Oct. 2005 .

  5. Zhuowen Tu, "Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering", 10th IEEE International Conf. on Computer Vision (ICCV), Oct. 2005 .

  6. Zhuowen Tu, and Alan Yuille "Shape Matching and Recognition--Using Generative Models and Informative Features", 8th European Conf. on Computer Vision (ECCV), May 2004.

  7. Zhuowen Tu, Xiangrong Chen, Alan Yuille, and Song-Chun Zhu, "Image Parsing: Segmentation, Detection, and Object Recognition", 9th IEEE International Conf. on Computer Vision (ICCV), Oct. 2003 .

  8. Zhuowen Tu and  Song-Chun Zhu, "Parsing Images into Region and Curve Processes",  7th European Conf. on Computer Vision (ECCV), May, 2002.

  9. Feng Han, Zhuowen Tu and  Song-Chun Zhu, "A Stochastic Algorithm for Parsing and reconstructing 3D Scenes", 7th European Conf. on Computer Vision (ECCV), May, 2002.

  10. Zhuowen Tu, Song-Chun Zhu, and Harry Shum, "Image Segmentation by Data Driven Markov Chain Monte Carlo", 8th IEEE International Conf. on Computer Vision (ICCV), July 2001.

  11. Song-Chun Zhu, Rong Zhang, and Zhuowen Tu, "Integrating Top-down/Bottom-up for Object Recognition by Data Driven Markov Chain Monte Carlo",  IEEE Computer Vision and Pattern Recognition (CVPR), July 2000.

Research:
  • Brain Imaging
  • Object Detection, Object Recognition and Scene Understanding
  • Image Parsing by Data-Driven Markov Chain
  • Shape Matching and Modeling
  • Blind Sight Assistant 
  • Civil Infrastructure Object Recognition
Selected Awards:
  • David Marr Prize, the 9th IEEE International Conference on Computer Vision, 2003
  • Talbert Abrams Award (Honorable Mention) by American Society of Photogrammetry and Remote Sensing-The Imaging & Geospatial Information Society, 2003