Marshall F. Tappen

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2017

Learning-Based Shadow Recognition and Removal From Monochromatic Natural Images.

Mingliang Xu, Jiejie Zhu, Pei Lv, Bing Zhou, Marshall F. Tappen, Rongrong Ji

IEEE Trans. Image Process., 2017

2015

Exploring Sparseness and Self-Similarity for Action Recognition.

Chuan Sun, Imran Nazir Junejo, Marshall F. Tappen, Hassan Foroosh

IEEE Trans. Image Process., 2015

Sparse Convolutional Neural Networks.

Baoyuan Liu, Min Wang, Hassan Foroosh, Marshall F. Tappen, Marianna Pensky

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Intrinsic Images.

Marshall F. Tappen

Computer Vision, A Reference Guide, 2014

Image Decompositions.

Marshall F. Tappen

Computer Vision, A Reference Guide, 2014

Exploring album structure for face recognition in online social networks.

Jason Hochreiter, Zhongkai Han, Syed Zain Masood, Spencer Fonte, Marshall F. Tappen

Image Vis. Comput., 2014

Feature-Independent Action Spotting without Human Localization, Segmentation, or Frame-wise Tracking.

Chuan Sun, Marshall F. Tappen, Hassan Foroosh

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Action Recognition by Weakly-Supervised Discriminative Region Localization.

Hakan Boyraz, Syed Zain Masood, Baoyuan Liu, Marshall F. Tappen, Hassan Foroosh

Proceedings of the British Machine Vision Conference, 2014

2013

Separable Markov Random Field Model and Its Applications in Low Level Vision.

Jian Sun, Marshall F. Tappen

IEEE Trans. Image Process., 2013

Exploring the Trade-off Between Accuracy and Observational Latency in Action Recognition.

Christopher Ellis, Syed Zain Masood, Marshall F. Tappen, Joseph J. LaViola Jr., Rahul Sukthankar

Int. J. Comput. Vis., 2013

Discriminative dictionary learning with spatial priors.

Nazar Khan, Marshall F. Tappen

Proceedings of the IEEE International Conference on Image Processing, 2013

Album-oriented face recognition for online social networks.

Zhongkai Han, Syed Zain Masood, Jason Hochreiter, Spencer Fonte, Marshall F. Tappen

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.

Baoyuan Liu, Fereshteh Sadeghi, Marshall F. Tappen, Ohad Shamir, Ce Liu

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Stable discriminative dictionary learning via discriminative deviation.

Nazar Khan, Marshall F. Tappen

Proceedings of the 21st International Conference on Pattern Recognition, 2012

A Bayesian Approach to Alignment-Based Image Hallucination.

Marshall F. Tappen, Ce Liu

Proceedings of the Computer Vision - ECCV 2012, 2012

Latent Pyramidal Regions for Recognizing Scenes.

Fereshteh Sadeghi, Marshall F. Tappen

Proceedings of the Computer Vision - ECCV 2012, 2012

Playing with Puffball: simple scale-invariant inflation for use in vision and graphics.

Nathaniel R. Twarog, Marshall F. Tappen, Edward H. Adelson

Proceedings of the ACM Symposium on Applied Perception 2012, 2012

2011

Fundamental Strategies for Solving Low-Level Vision Problems.

Marshall F. Tappen

IPSJ Trans. Comput. Vis. Appl., 2011

Correcting cuboid corruption for action recognition in complex environment.

Syed Zain Masood, Adarsh Nagaraja, Nazar Khan, Jiejie Zhu, Marshall F. Tappen

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Measuring and reducing observational latency when recognizing actions.

Syed Zain Masood, Christopher Ellis, Adarsh Nagaraja, Marshall F. Tappen, Joseph J. LaViola Jr., Rahul Sukthankar

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Recovering shape from a single image of a mirrored surface from curvature constraints.

Marshall F. Tappen

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Learning non-local range Markov Random field for image restoration.

Jian Sun, Marshall F. Tappen

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Localizing actions through sequential 2D video projections.

Hakan Boyraz, Marshall F. Tappen, Rahul Sukthankar

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Learning to recognize shadows in monochromatic natural images.

Jiejie Zhu, Kegan G. G. Samuel, Syed Zain Masood, Marshall F. Tappen

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Optimizing one-shot recognition with micro-set learning.

Kevin D. Tang, Marshall F. Tappen, Rahul Sukthankar, Christoph H. Lampert

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Context-constrained hallucination for image super-resolution.

Jian Sun, Jiejie Zhu, Marshall F. Tappen

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.

Syed Zain Masood, Jiejie Zhu, Marshall F. Tappen

Comput. Graph. Forum, 2009

UCF @ TRECVID 2009 : High-Level Feature Extraction.

Jason Hochreiter, Silvino Barreiros, Naveed Imran, Marshall F. Tappen, Mubarak Shah, Sean McMillan, Benjamin Mears

Proceedings of the TRECVID 2009 workshop participants notebook papers, 2009

Training many-parameter shape-from-shading models using a surface database.

Nazar Khan, Lam Tran, Marshall F. Tappen

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Learning pedestrian dynamics from the real world.

Paul Scovanner, Marshall F. Tappen

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.

Kegan G. G. Samuel, Marshall F. Tappen

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.

Richard Szeliski, Ramin Zabih, Daniel Scharstein, Olga Veksler, Vladimir Kolmogorov, Aseem Agarwala, Marshall F. Tappen, Carsten Rother

IEEE Trans. Pattern Anal. Mach. Intell., 2008

The Logistic Random Field - A convenient graphical model for learning parameters for MRF-based labeling.

Marshall F. Tappen, Kegan G. G. Samuel, Craig V. Dean, David M. Lyle

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.

Marshall F. Tappen, Ce Liu, Edward H. Adelson, William T. Freeman

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.

Marshall F. Tappen

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.

Marshall F. Tappen

PhD thesis, 2006

A Comparative Study of Energy Minimization Methods for Markov Random Fields.

Richard Szeliski, Ramin Zabih, Daniel Scharstein, Olga Veksler, Vladimir Kolmogorov, Aseem Agarwala, Marshall F. Tappen, Carsten Rother

Proceedings of the Computer Vision, 2006

Estimating Intrinsic Component Images using Non-Linear Regression.

Marshall F. Tappen, Edward H. Adelson, William T. Freeman

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.

Marshall F. Tappen, William T. Freeman, Edward H. Adelson

IEEE Trans. Pattern Anal. Mach. Intell., 2005

2004

Efficient Graphical Models for Processing Images.

Marshall F. Tappen, Bryan C. Russell, William T. Freeman

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.

Marshall F. Tappen, William T. Freeman

Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003