Marshall Tappen
Marshall Tappen
Research Scientist at Amazon.com (Formerly Prof. At UCF)
Verified email at cs.ucf.edu - Homepage
TitleCited byYear
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
11132008
Comparison of graph cuts with belief propagation for stereo, using identical MRF parameters
MF Tappen, WT Freeman
null, 900, 2003
5902003
Recovering intrinsic images from a single image
MF Tappen, WT Freeman, EH Adelson
Advances in neural information processing systems, 1367-1374, 2003
4842003
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
4622006
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
3962015
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
2342013
Exploiting the sparse derivative prior for super-resolution and image demosaicing
MF Tappen, BC Russell, WT Freeman
In IEEE Workshop on Statistical and Computational Theories of Vision, 2003
1932003
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
1852010
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
1572007
Learning pedestrian dynamics from the real world
P Scovanner, MF Tappen
2009 IEEE 12th International Conference on Computer Vision, 381-388, 2009
1302009
Image processing and analysis with graphs: theory and practice
O Lézoray, L Grady
CRC Press, 2012
1282012
Context-constrained hallucination for image super-resolution
J Sun, J Zhu, MF Tappen
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
1152010
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
1092006
Latent pyramidal regions for recognizing scenes
F Sadeghi, MF Tappen
European Conference on Computer Vision, 228-241, 2012
902012
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
762013
Utilizing variational optimization to learn markov random fields
MF Tappen
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
712007
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
652009
A Bayesian approach to alignment-based image hallucination
MF Tappen, C Liu
European conference on computer vision, 236-249, 2012
572012
Efficient graphical models for processing images
MF Tappen, BC Russell, WT Freeman
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004
572004
Learning non-local range Markov random field for image restoration
J Sun, MF Tappen
CVPR 2011, 2745-2752, 2011
412011
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