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Jason J. Corso
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tag: natural language

[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] P. Das, R. K. Srihari, and J. J. Corso. Translating related words to videos and back through latent topics. In Proceedings of Sixth ACM International Conference on Web Search and Data Mining, 2013. [ bib | .pdf ]
[3] N. Coffee, J. Gawley, C. W. Forstall, W. J. Scheirer, D. Johnson, J. J. Corso, and B. Parks. Modelling the interpretation of literary allusion with machine learning techniques. In Proceedings of Digital Humanities, 2013. [ bib ]
[4] P. Das, C. Xu, R. F. Doell, and J. J. Corso. A thousand frames in just a few words: Lingual description of videos through latent topics and sparse object stitching. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2013. [ bib | poster | data | .pdf ]
[5] A. Barbu, N. Siddharth, C. Xiong, J. J. Corso, C. D. Fellbaum, C. Hanson, S. J. Hanson, S. Hélie, E. Malaia, B. A. Pearlmutter, J. M. Siskind, T. M. Talavage, and R. B. Wilbur. The compositional natural of verb and argument representations in the human brain. Technical Report 1306.2293, arXiv, 2013. [ bib | http ]

last updated: Wed Dec 11 11:06:01 2019; copyright jcorso
Please report broken links to Prof. Corso jjcorso@eecs.umich.edu .