Jun Zhang - Professor
Contact Information
Office Address:
EMS 1207
3200 North Cramer Street
Milwaukee, WI 53211
Phone: 414-229-4246
Fax: 414-229-6958
Email: junzhang@uwm.edu
WWW: http://www.uwm.edu/~junzhang/
Mailing Address:
P.O. Box 784
Department of Electrical Engineering and Computer Science
University of Wisconsin-Milwaukee
Milwaukee, WI 53201
Ph.D. Electrical Eng., Rensselaer Polytechnic Institute, Troy, New York, Aug. 1988
M.S. Electrical Eng, Rensselaer Polytechnic Institute, Troy, New York, Aug. 1985
B.S. Computer Eng., Harbin Shipbuilding Eng. Institute, Harbin, China, Feb. 1982
Research Interests
Image Processing and Computer Vision, Digital Signal Processing, Digital Communications
Selectd Publications
- J. Zhang, Y. Yan, and, M. Lades, ``Face recognition: eigen face, neural nets, and elastic matching, Proceedings of IEEE, Vol. 85, pp. 1423-1436, Sept. 1997.
- J. Zhang and D. Wang, ``Image segmentation by multigrid MRF optimization with perceptual considerations,'' Journal of Electronic Imaging, Vol. 7, pp. 52-60, Jan. 1998.
- J. Zhang, D. Wang, and Q. Tran, `` Wavelet-based multiresolution stochastic models,'' IEEE Trans. Image Processing, Vol. 7, pp. 1621-1626, Nov. 1998.
- J. Zhang, J. Gao, and J. Liu, ``Figure-ground separation by a dynamical system,'' IEEE Trans. Image Processing, Vol. 8, pp. 115-121, Jan. 1999.
- W. Zhu, Y. Wang, N. Galatsanos, and J. Zhang, ``An efficient solution to the regularized total least squares approach for non-convolutional linear inverse problems,'' IEEE Trans. Image Processing, Vol. 8, pp. 1657-1661, Nov., 1999.
- J. Zhang, J. Gao, and W. Liu, ``Image sequence segmentation using 3d structure tensor and curve evolution,'' IEEE Trans. Circuits and Systems for Video Technology, Vol. 11, pp. 629-641, May, 2001.
- Tsai A, Zhang J, Willsky A, "EM Algorithms for Image Processing Using Multiscale Methods and Mean Field Theory, with Applications to Laser Radar Range Profiling and Segmentation", Optical Engineering, to appear.
- J. Gao, J. Zhang, and M. Fleming, ``A novel technique for multiresolution color image segmentation,'' to appear in Optical Engineering.