Me Marshall Tappen    
UCF Logo University of Central Florida
School of Electrical Engineering and Computer Science

Contact Info:
Marshall Tappen
ENGR 3-230
Orlando, FL
Phone: (407) 823-2688
Email: mtappen at cs.ucf.edu

BS - Brigham Young University - Provo, UT
SM - Massachusetts Institute of Technology - Cambridge, MA
PhD - Massachusetts Institute of Technology - Cambridge, MA

 I am an Assistant Professor in the School of Electrical Engineering and Computer Science at the University of Central Florida .
*NEW* I am currently recruiting a post-doc in computer vision and machine learning. Here is the advertisement. Please contact me if you are interested.
Courses
Publications (Last Updated 06/2008)

M.F. Tappen, K. G.G. Samuel, C.V. Dean, and D. Lyle, The Logistic Random Field -- A Convenient Graphical Model for Learning Parameters for MRF-based Labeling To Appear in CVPR 2008 [PDF]

M. F. Tappen. “Utilizing Variational Optimization to Learn Markov Random Fields”. Appeared in The Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) [PDF] -- A sample training implementation is also available [.ZIP]

M. F. Tappen, C. Liu, E. H. Adelson, and W. T. Freeman. “Learning Gaussian Conditional Random Fields for Low-Level Vision”. Appeared in The Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) [PDF] -- A sample training implementation is also available [.ZIP]

"Learning Continuous Models for Estimating Intrinsic Component Images", Doctoral Thesis, Massachusetts Institute of Technology, May 2006 [PDF]

M. F. Tappen, E. H. Adelson, and W. T. Freeman. “Estimating Intrinsic Component Images using Non-Linear Regression”. Appeared in The Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Volume 2, Pages 1992-1999, 2006 ,[PDF] The training and test data from this paper is also available as a .MAT file [.ZIP (10 MB)]

A Comparative Study of Energy Minimization Methods for Markov Random Fields. Rick Szeliski, Ramin Zabih, Daniel Scharstein, Olga Veksler, Vladimir Kolmogorov, Aseem Agarwala, Marshall Tappen, Carsten Rother. In Seventh European Conference on Computer Vision (ECCV 2002), volume 2, pages 16-29, Graz, May 2006. Springer-Verlag.

M. F. Tappen, W. T. Freeman, and E. H. Adelson. “Recovering Intrinsic Images from a Single Image”. In IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 27, Issue 9, September 2005, Pages 1459 - 1472[PDF]

M.F. Tappen, B. C. Russell, and W. T. Freeman. “Efficient Graphical Models for Processing Images”. The Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2004 [PDF]

M. F. Tappen and W. T. Freeman. “Comparison of Graph Cuts with Belief Propagation for Stereo, using Identical MRF Parameters”. In Proceedings of the Ninth IEEE International Conference on Computer Vision (ICCV), Pages 900 - 907, 2003 [PDF]

M. F. Tappen, B. C. Russell, and W. T. Freeman. “Exploiting the Sparse Derivative Prior for Super-Resolution and Image Demosaicing”. In Third International Workshop on Statistical and Computational Theories of Vision at ICCV 2003, 2003 [PDF]

M. F. Tappen, W. T. Freeman, and E. H. Adelson. “Recovering Intrinsic Images from a Single Image”. In S. T. S. Becker and K. Obermayer, editors, Advances in Neural Information Processing Systems 15, pages 1343-1350. MIT Press, Cambridge, MA, 2003.[PDF]
Personal
My Soccer Medal I was recently awarded a medal for being a good assistant coach for my son's U7 Central Florida United recreational soccer team. My Kids My two older boys think the best perk of getting a PhD is that you get a neat hat.
My Kids I'm fortunate to be married to the incomparable Joy Chan Tappen, M.D. My Kids We drove from Cambridge to Florida when coming to UCF -- it was exhausting.