Jason J. Corso
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tag: graphical models

[1] 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. [ bib | http ]
[2] 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. [ bib | .pdf ]
[3] 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. [ bib | .pdf ]
[4] 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. [ bib ]
[5] 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. [ bib | .pdf ]
[6] 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. [ bib | code | project | .pdf ]
[7] 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. [ bib | .pdf ]
[8] 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. [ bib | .pdf ]
[9] 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. [ bib | .pdf ]
[10] 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. [ bib | .pdf ]
[11] 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. [ bib | .pdf ]
[12] 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. [ bib | .pdf ]
[13] 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. [ bib | .pdf ]

last updated: Tue Mar 14 16:39:59 2017; copyright jcorso
Please report broken links to Prof. Corso jjcorso@eecs.umich.edu .