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Jason J. Corso
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[1] R. Xu, C. Xiong, W. Chen, and J. J. Corso. Jointly modeling deep video and compositional text to bridge vision and language in a unified framework. In Proceedings of AAAI Conference on Artificial Intelligence, 2015. [ bib | .pdf ]
[2] 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 ]
[3] 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 ]
[4] W. Chen and J. J. Corso. Action detection by implicit intentional motion clustering. In Proceedings of IEEE International Conference on Computer Vision, 2015. [ bib | poster | .pdf ]
[5] S. Kumar, N. Ahmidi, G. Hager, P. Singhal, J. J. Corso, and V. Krovi. Surgical performance assessment. ASME Dynamics Systems and Control Magazine, 3(3):7--10, 2015. [ bib | project | .pdf ]
[6] 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 ]
[7] L. Zhao, Z. Peng, K. Finkler, A. Jerebko, J. J. Corso, and X. S. Zhou. Automatic collimation detection in digital radiographs with the directed hough transform and learning-based edge detection. In Patch-Based Techniques in Medical Imaging (LNCS 9467), pages 71--78. Springer International Publishing, 2015. [ bib | .pdf ]

last updated: Wed Dec 11 11:05:30 2019; copyright jcorso
Please report broken links to Prof. Corso jjcorso@eecs.umich.edu .