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Marshall F. Tappen
2010 – today
- 2013
[j5]Christopher Ellis, Syed Zain Masood, Marshall F. Tappen, Joseph J. LaViola Jr., Rahul Sukthankar: Exploring the Trade-off Between Accuracy and Observational Latency in Action Recognition. International Journal of Computer Vision 101(3): 420-436 (2013)- [j4]Jian Sun, Marshall F. Tappen: Separable Markov Random Field Model and Its Applications in Low Level Vision. IEEE Transactions on Image Processing 22(1): 402-407 (2013)
- 2012
- [c20]Fereshteh Sadeghi, Marshall F. Tappen: Latent Pyramidal Regions for Recognizing Scenes. ECCV (5) 2012: 228-241
- [c19]Marshall F. Tappen, Ce Liu: A Bayesian Approach to Alignment-Based Image Hallucination. ECCV (7) 2012: 236-249
- [c18]Nazar Khan, Marshall F. Tappen: Stable discriminative dictionary learning via discriminative deviation. ICPR 2012: 3224-3227
- 2011
- [c17]Marshall F. Tappen: Recovering shape from a single image of a mirrored surface from curvature constraints. CVPR 2011: 2545-2552
- [c16]
- [c15]Syed Zain Masood, Christopher Ellis, Adarsh Nagaraja, Marshall F. Tappen, Joseph J. LaViola Jr., Rahul Sukthankar: Measuring and reducing observational latency when recognizing actions. ICCV Workshops 2011: 422-429
- [c14]Syed Zain Masood, Adarsh Nagaraja, Nazar Khan, Jiejie Zhu, Marshall F. Tappen: Correcting cuboid corruption for action recognition in complex environment. ICCV Workshops 2011: 1540-1547
- 2010
- [c13]Jiejie Zhu, Kegan G. G. Samuel, Syed Zain Masood, Marshall F. Tappen: Learning to recognize shadows in monochromatic natural images. CVPR 2010: 223-230
- [c12]Jian Sun, Jiejie Zhu, Marshall F. Tappen: Context-constrained hallucination for image super-resolution. CVPR 2010: 231-238
- [c11]Kevin D. Tang, Marshall F. Tappen, Rahul Sukthankar, Christoph H. Lampert: Optimizing one-shot recognition with micro-set learning. CVPR 2010: 3027-3034
2000 – 2009
- 2009
- [j3]Syed Zain Masood, Jiejie Zhu, Marshall F. Tappen: Automatic Correction of Saturated Regions in Photographs using Cross-Channel Correlation. Comput. Graph. Forum 28(7): 1861-1869 (2009)
- [c10]Kegan G. G. Samuel, Marshall F. Tappen: Learning optimized MAP estimates in continuously-valued MRF models. CVPR 2009: 477-484
- [c9]Paul Scovanner, Marshall F. Tappen: Learning pedestrian dynamics from the real world. ICCV 2009: 381-388
- 2008
- [j2]Richard Szeliski, Ramin Zabih, Daniel Scharstein, Olga Veksler, Vladimir Kolmogorov, Aseem Agarwala, Marshall F. Tappen, Carsten Rother: A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors. IEEE Trans. Pattern Anal. Mach. Intell. 30(6): 1068-1080 (2008)
- [c8]Marshall F. Tappen, Kegan G. G. Samuel, Craig V. Dean, David M. Lyle: The Logistic Random Field - A convenient graphical model for learning parameters for MRF-based labeling. CVPR 2008
- 2007
- [c7]
- [c6]Marshall F. Tappen, Ce Liu, Edward H. Adelson, William T. Freeman: Learning Gaussian Conditional Random Fields for Low-Level Vision. CVPR 2007
- 2006
- [c5]Marshall F. Tappen, Edward H. Adelson, William T. Freeman: Estimating Intrinsic Component Images using Non-Linear Regression. CVPR (2) 2006: 1992-1999
- [c4]Richard Szeliski, Ramin Zabih, Daniel Scharstein, Olga Veksler, Vladimir Kolmogorov, Aseem Agarwala, Marshall F. Tappen, Carsten Rother: A Comparative Study of Energy Minimization Methods for Markov Random Fields. ECCV (2) 2006: 16-29
- 2005
- [j1]Marshall F. Tappen, William T. Freeman, Edward H. Adelson: Recovering Intrinsic Images from a Single Image. IEEE Trans. Pattern Anal. Mach. Intell. 27(9): 1459-1472 (2005)
- 2004
- [c3]Marshall F. Tappen, Bryan C. Russell, William T. Freeman: Efficient Graphical Models for Processing Images. CVPR (2) 2004: 673-680
- 2003
- [c2]Marshall F. Tappen, William T. Freeman: Comparison of Graph Cuts with Belief Propagation for Stereo, using Identical MRF Parameters. ICCV 2003: 900-907
- 2002
- [c1]Marshall F. Tappen, William T. Freeman, Edward H. Adelson: Recovering Intrinsic Images from a Single Image. NIPS 2002: 1343-1350
Coauthor Index
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last updated on 2013-02-25 18:36 CET by the dblp team