Marshall Tappen
Marshall Tappen
Research Scientist at Amazon.com (Formerly Prof. At UCF)
Verified email at cs.ucf.edu - Homepage
Title
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Cited by
Year
A comparative study of energy minimization methods for markov random fields with smoothness-based priors
R Szeliski, R Zabih, D Scharstein, O Veksler, V Kolmogorov, A Agarwala, ...
IEEE transactions on pattern analysis and machine intelligence 30 (6), 1068-1080, 2008
12292008
Comparison of graph cuts with belief propagation for stereo, using identical MRF parameters
MF Tappen, WT Freeman
Computer Vision, IEEE International Conference on 3, 900-900, 2003
6202003
Sparse convolutional neural networks
B Liu, M Wang, H Foroosh, M Tappen, M Pensky
Proceedings of the IEEE conference on computer vision and pattern …, 2015
5882015
A comparative study of energy minimization methods for markov random fields
R Szeliski, R Zabih, D Scharstein, O Veksler, V Kolmogorov, A Agarwala, ...
European conference on computer vision, 16-29, 2006
4842006
Recovering intrinsic images from a single image
MF Tappen, WT Freeman, EH Adelson
IEEE transactions on pattern analysis and machine intelligence 27 (9), 1459-1472, 2005
4102005
Markov random fields for vision and image processing
A Blake, P Kohli, C Rother
MIT press, 2011
3112011
Exploring the trade-off between accuracy and observational latency in action recognition
C Ellis, SZ Masood, MF Tappen, JJ LaViola, R Sukthankar
International Journal of Computer Vision 101 (3), 420-436, 2013
2702013
Learning to recognize shadows in monochromatic natural images
J Zhu, KGG Samuel, SZ Masood, MF Tappen
2010 IEEE Computer Society conference on computer vision and pattern …, 2010
2172010
Exploiting the sparse derivative prior for super-resolution and image demosaicing
MFTBC Russell, WT Freeman
Proc. Third Int'l Workshop Statistical and Computational Theories of Vision, 2003
2102003
Learning gaussian conditional random fields for low-level vision
MF Tappen, C Liu, EH Adelson, WT Freeman
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
1882007
Learning pedestrian dynamics from the real world
P Scovanner, MF Tappen
2009 IEEE 12th International Conference on Computer Vision, 381-388, 2009
1552009
Recovering intrinsic images from a single image
MF Tappen, WT Freeman, EH Adelson
1472002
Image processing and analysis with graphs: theory and practice
O Lézoray, L Grady
CRC Press, 2012
1432012
Context-constrained hallucination for image super-resolution
J Sun, J Zhu, MF Tappen
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
1272010
Estimating intrinsic component images using non-linear regression
MF Tappen, EH Adelson, WT Freeman
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
1222006
Latent pyramidal regions for recognizing scenes
F Sadeghi, MF Tappen
European conference on computer vision, 228-241, 2012
962012
Probabilistic label trees for efficient large scale image classification
B Liu, F Sadeghi, M Tappen, O Shamir, C Liu
Proceedings of the IEEE conference on computer vision and pattern …, 2013
922013
Learning optimized MAP estimates in continuously-valued MRF models
KGG Samuel, MF Tappen
2009 IEEE Conference on Computer Vision and Pattern Recognition, 477-484, 2009
862009
Utilizing variational optimization to learn markov random fields
MF Tappen
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
842007
A Bayesian approach to alignment-based image hallucination
MF Tappen, C Liu
European conference on computer vision, 236-249, 2012
712012
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Articles 1–20