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[1]
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K. R. Keane and J. J. Corso.
The wrong tool for inference --- a critical view of gaussian
graphical models.
In Proceedings of the 7th International Conference on Pattern
Recognition Applications and Methods, 2018.
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[2]
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W. Wu, A. Y. C. Chen, L. Zhao, and J. J. Corso.
Brain tumor detection and segmentation in a CRF (conditional random
fields) framework with pixel-pairwise affinity and superpixel-level features.
International Journal of Computer Aided Radiology and Surgery,
9(2):241--253, 2014.
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http ]
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[3]
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J. J. Corso.
Toward parts-based scene understanding with pixel-support
parts-sparse pictorial structures.
Pattern Recognition Letters: Special Issue on Scene
Understanding and Behavior Analysis, 34(7):762--769, 2013.
Early version appears as arXiv.org tech report 1108.4079v1.
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.pdf ]
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[4]
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L. Zhao, W. Wu, and J. J. Corso.
Semi-automatic brain tumor segmentation by constrained MRFs using
structural trajectories.
In Proceedings of Medical Image Computing and Computer Aided
Intervention, 2013.
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.pdf ]
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[5]
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C. S. Lea and J. J. Corso.
Efficient hierarchical markov random fields for object detection on a
mobile robot.
Technical Report 1111.1599v1, arXiv, November 2011.
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[6]
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R. S. Alomari, J. J. Corso, and V. Chaudhary.
Labeling of lumbar discs using both pixel- and object-level features
with a two-level probabilistic model.
IEEE Transactions on Medical Imaging, 30(1):1--10, 2011.
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.pdf ]
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[7]
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A. Y. C. Chen and J. J. Corso.
Temporally consistent multi-class video-object segmentation with the
video graph-shifts algorithm.
In Proceedings of the 2011 IEEE Workshop on Motion and Video
Computing, 2011.
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code |
project |
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[8]
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D. Gagneja, C. Xiong, and J. J. Corso.
Towards a parts-based approach to sub-cortical brain structure
parsing.
In Proceedings of SPIE Conference on Medical Imaging, 2011.
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[9]
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A. Y. C. Chen and J. J. Corso.
On the effects of normalization in adaptive MRF hierarchies.
In Proceedings of CompImage '10---Computational Modeling of
Objects Presented in Images, 2010.
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.pdf ]
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[10]
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T. J. Burns and J. J. Corso.
Robust unsupervised segmentation of degraded document images with
topic models.
In Proceedings of IEEE Conference on Computer Vision and Pattern
Recognition, 2009.
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.pdf ]
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[11]
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J. J. Corso, E. Sharon, S. Dube, S. El-Saden, U. Sinha, and
A. Yuille.
Efficient Multilevel Brain Tumor Segmentation with Integrated
Bayesian Model Classification.
IEEE Transactions on Medical Imaging, 27(5):629--640, 2008.
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.pdf ]
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[12]
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I. Nwogu and J. J. Corso.
Labeling irregular graphs with belief propagation.
In Proceedings of International Workshop on Combinatorial Image
Analysis, volume LNCS 4958, pages 295--305, 2008.
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.pdf ]
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[13]
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I. Nwogu and J. J. Corso.
(BP)2: Beyond Pairwise Belief Propagation, Labeling by
Approximating Kikuchi Free Energies.
In Proceedings of IEEE Conference on Computer Vision and
Pattern Recognition, 2008.
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.pdf ]
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[14]
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J. J. Corso, G. Ye, and G. D. Hager.
Analysis of Composite Gestures with a Coherent Probabilistic
Graphical Model.
Virtual Reality, 8(4):242--252, 2005.
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