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ORCIDMarshall F. Tappen
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2010 – 2019
- 2017
[j10]Mingliang Xu
, Jiejie Zhu, Pei Lv, Bing Zhou, Marshall F. Tappen, Rongrong Ji:
Learning-Based Shadow Recognition and Removal From Monochromatic Natural Images. IEEE Trans. Image Process. 26(12): 5811-5824 (2017)- 2015
- [j9]Chuan Sun, Imran Nazir Junejo, Marshall F. Tappen, Hassan Foroosh:
Exploring Sparseness and Self-Similarity for Action Recognition. IEEE Trans. Image Process. 24(8): 2488-2501 (2015) - [c30]Baoyuan Liu, Min Wang, Hassan Foroosh, Marshall F. Tappen, Marianna Pensky:
Sparse Convolutional Neural Networks. CVPR 2015: 806-814 - 2014
- [j8]Jason Hochreiter, Zhongkai Han, Syed Zain Masood, Spencer Fonte, Marshall F. Tappen:
Exploring album structure for face recognition in online social networks. Image Vis. Comput. 32(10): 751-760 (2014) - [c29]Hakan Boyraz, Syed Zain Masood, Baoyuan Liu, Marshall F. Tappen, Hassan Foroosh:
Action Recognition by Weakly-Supervised Discriminative Region Localization. BMVC 2014 - [c28]Chuan Sun, Marshall F. Tappen, Hassan Foroosh:
Feature-Independent Action Spotting without Human Localization, Segmentation, or Frame-wise Tracking. CVPR 2014: 2689-2696 - [r2]Marshall F. Tappen:
Image Decompositions. Computer Vision, A Reference Guide 2014: 373-376 - [r1]Marshall F. Tappen:
Intrinsic Images. Computer Vision, A Reference Guide 2014: 424-425 - 2013
- [j7]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. Int. J. Comput. Vis. 101(3): 420-436 (2013) - [j6]Jian Sun, Marshall F. Tappen:
Separable Markov Random Field Model and Its Applications in Low Level Vision. IEEE Trans. Image Process. 22(1): 402-407 (2013) - [c27]Baoyuan Liu, Fereshteh Sadeghi, Marshall F. Tappen, Ohad Shamir, Ce Liu:
Probabilistic Label Trees for Efficient Large Scale Image Classification. CVPR 2013: 843-850 - [c26]Zhongkai Han, Syed Zain Masood, Jason Hochreiter, Spencer Fonte, Marshall F. Tappen:
Album-oriented face recognition for online social networks. FG 2013: 1-7 - [c25]Nazar Khan, Marshall F. Tappen:
Discriminative dictionary learning with spatial priors. ICIP 2013: 166-170 - 2012
- [j5]Marshall F. Tappen:
Fundamental Strategies for Solving Low-Level Vision Problems. Inf. Media Technol. 7(1): 192-205 (2012) - [c24]Nathaniel R. Twarog, Marshall F. Tappen, Edward H. Adelson:
Playing with Puffball: simple scale-invariant inflation for use in vision and graphics. SAP 2012: 47-54 - [c23]Fereshteh Sadeghi, Marshall F. Tappen:
Latent Pyramidal Regions for Recognizing Scenes. ECCV (5) 2012: 228-241 - [c22]Marshall F. Tappen, Ce Liu:
A Bayesian Approach to Alignment-Based Image Hallucination. ECCV (7) 2012: 236-249 - [c21]Nazar Khan, Marshall F. Tappen:
Stable discriminative dictionary learning via discriminative deviation. ICPR 2012: 3224-3227 - 2011
- [j4]Marshall F. Tappen:
Fundamental Strategies for Solving Low-Level Vision Problems. IPSJ Trans. Comput. Vis. Appl. 3: 95-108 (2011) - [c20]Hakan Boyraz, Marshall F. Tappen, Rahul Sukthankar:
Localizing actions through sequential 2D video projections. CVPR Workshops 2011: 34-39 - [c19]Marshall F. Tappen:
Recovering shape from a single image of a mirrored surface from curvature constraints. CVPR 2011: 2545-2552 - [c18]Jian Sun, Marshall F. Tappen:
Learning non-local range Markov Random field for image restoration. CVPR 2011: 2745-2752 - [c17]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 - [c16]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
- [c15]Jiejie Zhu, Kegan G. G. Samuel, Syed Zain Masood, Marshall F. Tappen:
Learning to recognize shadows in monochromatic natural images. CVPR 2010: 223-230 - [c14]Jian Sun, Jiejie Zhu, Marshall F. Tappen:
Context-constrained hallucination for image super-resolution. CVPR 2010: 231-238 - [c13]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) - [c12]Kegan G. G. Samuel, Marshall F. Tappen:
Learning optimized MAP estimates in continuously-valued MRF models. CVPR 2009: 477-484 - [c11]Paul Scovanner, Marshall F. Tappen:
Learning pedestrian dynamics from the real world. ICCV 2009: 381-388 - [c10]Nazar Khan, Lam Tran, Marshall F. Tappen:
Training many-parameter shape-from-shading models using a surface database. ICCV Workshops 2009: 1433-1440 - [c9]Jason Hochreiter, Silvino Barreiros, Naveed Imran, Marshall F. Tappen, Mubarak Shah, Sean McMillan, Benjamin Mears:
UCF @ TRECVID 2009 : High-Level Feature Extraction. TRECVID 2009 - 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]Marshall F. Tappen:
Utilizing Variational Optimization to Learn Markov Random Fields. CVPR 2007 - [c6]Marshall F. Tappen, Ce Liu, Edward H. Adelson, William T. Freeman:
Learning Gaussian Conditional Random Fields for Low-Level Vision. CVPR 2007 - 2006
- [b1]Marshall F. Tappen:
Learning continuous models for estimating intrinsic component images. Massachusetts Institute of Technology, Cambridge, MA, USA, 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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