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
11672008
Comparison of graph cuts with belief propagation for stereo, using identical MRF parameters
MF Tappen, WT Freeman
null, 900, 2003
6032003
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
5112015
Recovering intrinsic images from a single image
MF Tappen, WT Freeman, EH Adelson
Advances in neural information processing systems, 1367-1374, 2003
5032003
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
4722006
Markov random fields for vision and image processing
A Blake, P Kohli, C Rother
Mit Press, 2011
2912011
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
2582013
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
2032003
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
2002010
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
1672007
Learning pedestrian dynamics from the real world
P Scovanner, MF Tappen
2009 IEEE 12th International Conference on Computer Vision, 381-388, 2009
1452009
Image processing and analysis with graphs: theory and practice
O Lézoray, L Grady
CRC Press, 2012
1382012
Context-constrained hallucination for image super-resolution
J Sun, J Zhu, MF Tappen
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
1212010
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
1122006
Latent pyramidal regions for recognizing scenes
F Sadeghi, MF Tappen
European conference on computer vision, 228-241, 2012
932012
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
872013
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
782009
Utilizing variational optimization to learn markov random fields
MF Tappen
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
732007
A Bayesian approach to alignment-based image hallucination
MF Tappen, C Liu
European conference on computer vision, 236-249, 2012
622012
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
The system can't perform the operation now. Try again later.
Articles 1–20