Marshall Tappen
Marshall Tappen
Research Scientist at Amazon.com (Formerly Prof. At UCF)
Verified email at cs.ucf.edu - Homepage
Title
Cited by
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
12622008
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
6682015
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
6452003
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
4972006
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
4312005
Markov random fields for vision and image processing
A Blake, P Kohli, C Rother
MIT press, 2011
3302011
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
2802013
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
2292010
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
2112003
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
1962007
Recovering intrinsic images from a single image
MF Tappen, WT Freeman, EH Adelson
1642002
Learning pedestrian dynamics from the real world
P Scovanner, MF Tappen
2009 IEEE 12th International Conference on Computer Vision, 381-388, 2009
1572009
Image processing and analysis with graphs: theory and practice
O Lézoray, L Grady
CRC Press, 2017
1462017
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
1242006
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
1002013
Latent pyramidal regions for recognizing scenes
F Sadeghi, MF Tappen
European conference on computer vision, 228-241, 2012
982012
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
872009
Utilizing variational optimization to learn markov random fields
MF Tappen
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
862007
A Bayesian approach to alignment-based image hallucination
MF Tappen, C Liu
European conference on computer vision, 236-249, 2012
762012
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