Marshall Tappen
Affiliations: | University of Central Florida, Orlando, FL, United States |
Area:
Computer visionGoogle:
"Marshall Tappen"Mean distance: 14.58 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentorEdward H. Adelson | grad student | 2006 | MIT |
William T. Freeman | grad student | 2006 | MIT (MathTree) |
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Publications
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Liu B, Sadeghi F, Tappen M, et al. (2013) Probabilistic label trees for efficient large scale image classification Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 843-850 |
Twarog NR, Tappen MF, Adelson EH. (2012) Playing with Puffball: Simple scale-invariant inflation for use in vision and graphics Proceedings, Sap 2012 - Acm Symposium On Applied Perception. 47-54 |
Tappen MF, Liu C. (2012) A Bayesian approach to alignment-based image hallucination Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7578: 236-249 |
Twarog NR, Adelson EH, Tappen MF. (2011) Segmenting 2D Shapes using 3D Inflation Journal of Vision. 11: 851-851 |
Tappen MF, Liu C, Adels EH, et al. (2007) Learning Gaussian conditional random fields for low-level vision Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition |
Tappen MF, Adelson EH, Freeman WT. (2006) Estimating intrinsic component images using non-linear regression Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: 1992-1999 |
Tappen MF, Freeman WT, Adelson EH. (2005) Recovering intrinsic images from a single image. Ieee Transactions On Pattern Analysis and Machine Intelligence. 27: 1459-72 |
Tappen MF, Russell BC, Freeman WT. (2004) Efficient graphical models for processing images Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: II673-II680 |
Tappen MF, Freeman WT. (2003) Comparison of graph cuts with belief propagation for stereo, using identical MRF parameters Proceedings of the Ieee International Conference On Computer Vision. 2: 900-907 |