Marshall F. Tappen

According to our database1, Marshall F. Tappen authored at least 41 papers between 2003 and 2017.

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Bibliography

2017
Learning-Based Shadow Recognition and Removal From Monochromatic Natural Images.
IEEE Trans. Image Process., 2017

2015
Exploring Sparseness and Self-Similarity for Action Recognition.
IEEE Trans. Image Process., 2015

Sparse Convolutional Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Intrinsic Images.
Computer Vision, A Reference Guide, 2014

Image Decompositions.
Computer Vision, A Reference Guide, 2014

Exploring album structure for face recognition in online social networks.
Image Vis. Comput., 2014

Feature-Independent Action Spotting without Human Localization, Segmentation, or Frame-wise Tracking.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Action Recognition by Weakly-Supervised Discriminative Region Localization.
Proceedings of the British Machine Vision Conference, 2014

2013
Separable Markov Random Field Model and Its Applications in Low Level Vision.
IEEE Trans. Image Process., 2013

Exploring the Trade-off Between Accuracy and Observational Latency in Action Recognition.
Int. J. Comput. Vis., 2013

Discriminative dictionary learning with spatial priors.
Proceedings of the IEEE International Conference on Image Processing, 2013

Album-oriented face recognition for online social networks.
Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

Probabilistic Label Trees for Efficient Large Scale Image Classification.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Stable discriminative dictionary learning via discriminative deviation.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

A Bayesian Approach to Alignment-Based Image Hallucination.
Proceedings of the Computer Vision - ECCV 2012, 2012

Latent Pyramidal Regions for Recognizing Scenes.
Proceedings of the Computer Vision - ECCV 2012, 2012

Playing with Puffball: simple scale-invariant inflation for use in vision and graphics.
Proceedings of the ACM Symposium on Applied Perception 2012, 2012

2011
Fundamental Strategies for Solving Low-Level Vision Problems.
IPSJ Trans. Comput. Vis. Appl., 2011

Correcting cuboid corruption for action recognition in complex environment.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Measuring and reducing observational latency when recognizing actions.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Recovering shape from a single image of a mirrored surface from curvature constraints.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Learning non-local range Markov Random field for image restoration.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Localizing actions through sequential 2D video projections.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Learning to recognize shadows in monochromatic natural images.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Optimizing one-shot recognition with micro-set learning.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Context-constrained hallucination for image super-resolution.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Automatic Correction of Saturated Regions in Photographs using Cross-Channel Correlation.
Comput. Graph. Forum, 2009

UCF @ TRECVID 2009 : High-Level Feature Extraction.
Proceedings of the TRECVID 2009 workshop participants notebook papers, 2009

Training many-parameter shape-from-shading models using a surface database.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Learning pedestrian dynamics from the real world.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Learning optimized MAP estimates in continuously-valued MRF models.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

The Logistic Random Field - A convenient graphical model for learning parameters for MRF-based labeling.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Learning Gaussian Conditional Random Fields for Low-Level Vision.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Utilizing Variational Optimization to Learn Markov Random Fields.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Learning continuous models for estimating intrinsic component images.
PhD thesis, 2006

A Comparative Study of Energy Minimization Methods for Markov Random Fields.
Proceedings of the Computer Vision, 2006

Estimating Intrinsic Component Images using Non-Linear Regression.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Recovering Intrinsic Images from a Single Image.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

2004
Efficient Graphical Models for Processing Images.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
Comparison of Graph Cuts with Belief Propagation for Stereo, using Identical MRF Parameters.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003


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