Prof. Corso moved to the Electrical Engineering and Computer Science department at the University of Michigan in the 8/2014. He continues his work and research group in high-level computer vision at the intersection of perception, semantics/language, and robotics. Unless you are looking for something specific, historically, here, you probably would rather go to his new page.
Jason J. Corso
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tag: semantic segmentation

[1] J. A. Delmerico, P. David, and J. J. Corso. Building facade detection, segmentation, and parameter estimation for mobile robot stereo vision. Image and Vision Computing, 31(11):841-852, 2013. [ bib | project | data | .pdf ]
[2] 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 ]
[3] J. A. Delmerico, P. David, and J. J. Corso. Building facade detection, segmentation, and parameter estimation for mobile robot localization and guidance. In Proceedings of International Conference on Intelligent Robots and Systems, 2011. [ bib | project | data | .pdf ]
[4] 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 ]
[5] 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 ]
[6] A. Y. C. Chen and J. J. Corso. Propagating multi-class pixel labels throughout video frames. In Proceedings of Western New York Image Processing Workshop, 2010. [ bib | .pdf ]
[7] A. Y. C. Chen, J. J. Corso, and L. Wang. HOPS: Efficient region labeling using higher order proxy neighborhoods. In Proceedings of International Conference on Pattern Recognition, 2008. [ bib | .pdf ]
[8] J. J. Corso, R. S. Alomari, and V. Chaudhary. Lumbar disc localization and labeling with a probabilistic model on both pixel and object features. In Proceedings of Medical Image Computing and Computer Aided Intervention (MICCAI), volume LNCS 5241 Part 1, pages 202-210, 2008. [ bib | .pdf ]
[9] J. J. Corso, A. Yuille, and Z. Tu. Graph-Shifts: Natural Image Labeling by Dynamic Hierarchical Computing. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2008. [ bib | code | project | .pdf ]
[10] J. J. Corso. Discriminative Modeling by Boosting on Multilevel Aggregates. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2008. [ bib | .pdf ]
[11] J. J. Corso, A. L. Yuille, N. L. Sicotte, and A. Toga. Detection and Segmentation of Pathological Structures by the Extended Graph-Shifts Algorithm. In Proceedings of Medical Image Computing and Computer Aided Intervention (MICCAI), 2007. [ bib | .pdf ]
[12] J. J. Corso, Z. Tu, A. Yuille, and A. W. Toga. Segmentation of Sub-Cortical Structures by the Graph-Shifts Algorithm. In Proceedings of Information Processing in Medical Imaging (IPMI), volume LNCS 4584, pages 183-197, 2007. [ bib | .pdf ]

last updated: Tue Jul 29 10:11:55 2014; copyright jcorso