| 2008 |
|---|
| 10 | EE | Marshall F. Tappen,
Kegan G. G. Samuel,
Craig V. Dean,
David M. Lyle:
The Logistic Random Field - A convenient graphical model for learning parameters for MRF-based labeling.
CVPR 2008 |
| 9 | EE | Richard Szeliski,
Ramin Zabih,
Daniel Scharstein,
Olga Veksler,
Vladimir Kolmogorov,
Aseem Agarwala,
Marshall F. Tappen,
Carsten Rother:
A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors.
IEEE Trans. Pattern Anal. Mach. Intell. 30(6): 1068-1080 (2008) |
| 2007 |
|---|
| 8 | EE | Marshall F. Tappen,
Ce Liu,
Edward H. Adelson,
William T. Freeman:
Learning Gaussian Conditional Random Fields for Low-Level Vision.
CVPR 2007 |
| 7 | EE | Marshall F. Tappen:
Utilizing Variational Optimization to Learn Markov Random Fields.
CVPR 2007 |
| 2006 |
|---|
| 6 | EE | Marshall F. Tappen,
Edward H. Adelson,
William T. Freeman:
Estimating Intrinsic Component Images using Non-Linear Regression.
CVPR (2) 2006: 1992-1999 |
| 5 | EE | Richard Szeliski,
Ramin Zabih,
Daniel Scharstein,
Olga Veksler,
Vladimir Kolmogorov,
Aseem Agarwala,
Marshall F. Tappen,
Carsten Rother:
A Comparative Study of Energy Minimization Methods for Markov Random Fields.
ECCV (2) 2006: 16-29 |
| 2005 |
|---|
| 4 | EE | Marshall F. Tappen,
William T. Freeman,
Edward H. Adelson:
Recovering Intrinsic Images from a Single Image.
IEEE Trans. Pattern Anal. Mach. Intell. 27(9): 1459-1472 (2005) |
| 2004 |
|---|
| 3 | EE | Marshall F. Tappen,
Bryan C. Russell,
William T. Freeman:
Efficient Graphical Models for Processing Images.
CVPR (2) 2004: 673-680 |
| 2003 |
|---|
| 2 | EE | Marshall F. Tappen,
William T. Freeman:
Comparison of Graph Cuts with Belief Propagation for Stereo, using Identical MRF Parameters.
ICCV 2003: 900-907 |
| 2002 |
|---|
| 1 | EE | Marshall F. Tappen,
William T. Freeman,
Edward H. Adelson:
Recovering Intrinsic Images from a Single Image.
NIPS 2002: 1343-1350 |
