Jason J. Corso

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.

tag: activity recognition

[1]

W. Chen, C. Xiong, R. Xu, and J. J. Corso. Actionness ranking with lattice conditional ordinal random fields. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2014. [ bib ]

[2]

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 ]

[3]

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 ]

[4]

M. A. Bustamante and J. J. Corso. Using probabilistic ontologies for video exploration. In Proceedings of the Eighteenth Americas Conference on Information Systems, 2012. [ bib ]

[5]

R. Xu, P. Agarwal, S. Kumar, V. N. Krovi, and J. J. Corso. Combining skeletal pose with local motion for human activity recognition. In Proceedings of VII Conference on Articulated Motion and Deformable Objects, 2012. [ bib | slides | .pdf ]

[6]

S. Sadanand and J. J. Corso. Action bank: A high-level representation of activity in video. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2012. [ bib | code | project | .pdf ]

[7]

W. Ceusters, J. J. Corso, Y. Fu, M. Petropoulos, and V. Krovi. Introducing ontological realism for semi-supervised detection and annotation of operationally significant activity in surveillance videos. In Proceedings of the 5th International Conference on Semantic Technologies for Intelligence, Defense and Security (STIDS), 2010. [ bib | .pdf ]