Publications of Changjiang Yang

Refereed Journal Publications:

  1. A. Vailaya, H. Zhang, C. Yang, Feng-I Liu and A.K. Jain. Automatic Image Orientation Detection, IEEE Trans. on Image Processing. 11(7): 746 - 755, July 2002.
  2. C. Yang and J. Weng. Vision-based Behavior Learning Using Hierarchical Discriminant Regression. Pattern Recognition Letters. 23(8): 1031 - 1038, 2002.
  3. C. Yang, F. Sun and Z. Hu. Self-Calibration of Rotating Cameras Using Conic Correspondences. Acta Automatica Sinica, 27(3): 310 - 317, 2001 (in Chinese).
  4. C. Yang, F. Sun and Z. Hu. Planar Conic Based Camera Calibration. Chinese Journal of Computers, 23(5): 541 - 547, 2000 (in Chinese).
  5. Z. Hu, C. Yang, Y. Yang, S. Ma. An Inherent Probabilistic Aspect of the Hough Transform. Journal of Computer Science and Technology, 14(1): 44 - 48, 1999.
  6. Z. Hu, C. Yang, W. Wang and S. Ma. The Optimal Design of Line Parameterization. Acta Automatica Sinica, 24(3): 307 - 314, May 1998 (in Chinese)

Refereed Conference Publications:

  1. C. Yang, R. Duraiswami and L. Davis. Fast multiple object tracking via a hierarchical particle filter. To appear in ICCV, 2005.
  2. C. Yang, R. Duraiswami and L. Davis. Efficient Spatial-Feature Tracking via the Mean-Shift and a New Similarity Measure. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Diego, CA, June 2005.
  3. C. Yang, R. Duraiswami and L. Davis. Efficient Kernel Machines Using the Improved Fast Gauss Transform. In Advances in Neural Information Processing Systems 16, 2004. (Spotlight, 8% acceptance rate)
  4. C. Yang, R. Duraiswami, N. Gumerov and L. Davis. Improved Fast Gauss Transform and Efficient Kernel Density Estimation, In IEEE International Conference on Computer Vision, pages 464-471, 2003.
  5. C. Yang, R. Duraiswami, D. DeMenthon and L. Davis. Mean-Shift Analysis Using Quasi-Newton Methods. In IEEE International Conference on Image Processing, pages 447 - 450, vol.3, 2003.
  6. C. Yang, R. Duraiswami and L. Davis. Near-Optimal Regularization Parameters for Applications in Computer Vision. In International Conference on Pattern Recognition, 569 - 573, vol.2, 2002.
  7. C. Yang, R. Duraiswami and L. Davis. Superresolution Using Preconditioned Conjugate Gradient Method. In IEEE International Conference on Image and Graphics, 2002.
  8. C. Yang and Z. Hu. Planar Conic based Camera Calibration. In International Conference on Pattern Recognition, pages 1555-1558, vol.1, 2000.
  9. J. Weng, W.S. Hwang, Y. Zhang, C. Yang, and R. Smith. Developmental humanoids: humanoids that develop skills automatically. In Proc. The First IEEE-RAS International Conference on Humanoid Robots, Boston, MA, September 7-8, 2000.
  10. C. Yang and Z. Hu. An Intrinsic Parameters Self-calibration Technique for Active Vision System. In International Conference on Pattern Recognition, pages 67-69, vol.1, 1998 (Oral presentation).
  11. C. Yang and X. Meng and Z. Hu. Energy Based Randomized Hough Transform. In International Conference on Signal Processing, pages 1117-1120, vol.2, 1998.
  12. Z. Hu, W. Wang, C. Yang and S. Ma. A Framework for the Design of New Line Parameterizations. In International Conference on Signal Processing, pages 863-866, vol.2, 1996.

Technical Reports and Other Publications:

  1. C. Yang, R. Duraiswami, and L. Davis. Mean shift tracking under the general motion models. Submitted to ICCV, 2005.
  2. B. Han, C. Yang, R. Duraiswami and L. Davis. Bayesian Filtering and Integral Image for Visual Tracking. Invited to special session of Real-Time Object Tracking: Algorithms and Evaluation in Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), Montreux, Switzerland, 2005.
  3. C. Yang, R. Duraiswami, A. Elgammal and L. Davis. On-Line Kernel-Based Tracking in Joint Feature-Spatial Spaces. DEMO on IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004.
  4. C. Yang, R. Duraiswami, A. Elgammal and L. Davis. Real-Time Kernel-Based Tracking in Joint Feature-Spatial Spaces. Technical Report CS-TR-4567, Dept. of Computer Science, University of Maryland, College Park, 2004.
  5. C. Yang, R. Duraiswami and N. Gumerov. Improved Fast Gauss Transform. Technical Report CS-TR-4495, Dept. of Computer Science, University of Maryland, College Park, also submitted SIAM Sci. Comput. for publication, 2003.