Jason J. Corso
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tag: segmentation

[1] C. Chen and J. J. Corso. Joint occlusion boundary detection and figure/ground assignment by extracting common-fate fragments in a back-projection scheme. Pattern Recognition, 64:15--28, 2017. [ bib ]
[2] C. Xu and J. J. Corso. LIBSVX: A supervoxel library and benchmark for early video processing. International Journal of Computer Vision, 119:272--290, 2016. [ bib ]
[3] C. Xu and J. J. Corso. Actor-action semantic segmentation with grouping-process models. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2016. [ bib | data ]
[4] B. H. Menze, A. Jakab, S. Bauer, J. Kalpathy-Cramer, K. Farahani, J. Kirby, Y. Burren, N. Porz, J. Slotboom, R. Wiest, L. Lanczi, R. Gerstner, M.-A. Weber, T. Arbel, B. B. Avants, N. Ayache, P. Buendia, D. L. Collins, N. Cordier, J. J. Corso, A. Criminisi, T. Das, H. Delingette, C. Demiralp, C. R. Durst, M. Dojat, S. Doyle, J. Festa, F. Forbes, E. Geremia, B. Glocker, P. Golland, X. Guo, A. Hamamci, K. M. Iftekharuddin, R. Jena, N. M. John, E. Konukoglu, D. Lashkari, J. A. Mariz, R. Meier, S. Pereira, D. Precup, S. J. Price, T. Riklin Raviv, S. Reza, M. Ryan, D. Sarikaya, L. Schwartz, H.-C. Shin, J. Shotton, C. A. Silva, N. Sousa, N. K. Subbanna, G. Szekely, T. J. Taylor, O. M. Thomas, N. J. Tustison, G. Unal, F. Vasseur, M. Wintermark, D. H. Ye, L. Zhao, B. Zhao, D. Zikic, M. Prastawa, M. Reyes, and K. Van Leemput. The multimodal brain tumor image segmentation benchmark (brats). IEEE Transactions on Medical Imaging, 34(10):1993--2024, 2015. [ bib | http ]
[5] C. Xu, S.-H. Hsieh, C. Xiong, and J. J. Corso. Can humans fly? Action understanding with multiple classes of actors. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2015. [ bib | poster | data | .pdf ]
[6] J. Lu, R. Xu, and J. J. Corso. Human action segmentation with hierarchical supervoxel consistency. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2015. [ bib | .pdf ]
[7] 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 ]
[8] 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 ]
[9] C. Xu, S. Whitt, and J. J. Corso. Flattening supervoxel hierarchies by the uniform entropy slice. In Proceedings of the IEEE International Conference on Computer Vision, 2013. [ bib | poster | project | video | .pdf ]
[10] 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 ]
[11] C. Xu, C. Xiong, and J. J. Corso. Streaming hierarchical video segmentation. In Proceedings of European Conference on Computer Vision, 2012. [ bib | code | project | .pdf ]
[12] C. Xiong and J. J. Corso. Coaction discovery: Segmentation of common actions across multiple videos. In Proceedings of Multimedia Data Mining Workshop in Conjunction with the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (MDMKDD), 2012. [ bib | .pdf ]
[13] C. Xu and J. J. Corso. Evaluation of super-voxel methods for early video processing. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2012. [ bib | code | project | .pdf ]
[14] 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 ]
[15] 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 ]
[16] 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 ]
[17] 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 ]
[18] Y. Tao, L. Lu, M. Dewan, A. Y. C. Chen, J. J. Corso, J. Xuan, M. Salganicoff, and A. Krishnan. Multi-level ground glass nodule detection and segmentation in ct lung images. In Proceedings of Medical Image Computing and Computer Aided Intervention (MICCAI), volume LNCS 5762, pages 715--723, 2009. [ bib | .pdf ]
[19] 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 ]
[20] C. S. Hoeflich and J. J. Corso. Segmentation of 2D Gel Electrophoresis Spots using a Markov Random Field. In Proceedings of SPIE Conference on Medical Imaging, 2009. [ bib | .pdf ]
[21] 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 ]
[22] 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 ]
[23] 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 ]
[24] J. J. Corso. Discriminative Modeling by Boosting on Multilevel Aggregates. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2008. [ bib | .pdf ]
[25] S. Dube, J. J. Corso, A. Yuille, T. F. Cloughesy, S. El-Saden, and U. Sinha. Hierarchical Segmentation of Malignant Gliomas Via Integrated Contextual Filter Response. In Proceedings of SPIE Conference on Medical Imaging, 2008. [ bib ]
[26] 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 ]
[27] 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 ]
[28] J. J. Corso and G. D. Hager. Coherent Regions for Concise and Stable Image Description . In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, volume 2, pages 184--190, 2005. [ bib | .pdf ]
[29] J. J. Corso, M. Dewan, and G. D. Hager. Image Segmentation Through Energy Minimization Based Subspace Fusion. In Proceedings of 17th International Conference on Pattern Recogntion (ICPR 2004), 2004. [ bib | .pdf ]
[30] J. J. Corso, M. Dewan, and G. D. Hager. Image Segmentation Through Energy Minimization Based Subspace Fusion. Technical Report  CIRL-TR-04-01, The Johns Hopkins University, 2004. [ bib | .pdf ]

last updated: Tue Mar 14 16:40:04 2017; copyright jcorso
Please report broken links to Prof. Corso jjcorso@eecs.umich.edu .