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Jason J. Corso
Publications List
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[1]
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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.
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[2]
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S. Oh, S. McCloskey, I. Kim, A. Vahdat, K. Cannons, H. Hajimirsadeghi, G. Mori,
A. G. A. Perera, M. Pandey, and J. J. Corso.
Multimedia event detection with multimodal feature fusion and
temporal concept localization.
Machine Vision and Applications, 25:49--69, 2014.
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http ]
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[3]
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P. Agarwal, S. Kumar, J. Ryde, J. J. Corso, and V. N. Krovi.
Estimating dynamics on-the-fly using monocular video for vision-based
robotics.
IEEE/ASME Transactions on Mechatronics, 19(4):1412--1423, 2014.
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http ]
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[4]
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C. Xu, R. F. Doell, S. J. Hanson, C. Hanson, and J. J Corso.
A study of actor and action semantic retention in video supervoxel
segmentation.
International Journal of Semantic Computing, 2014.
Selected as a Best Paper from ICSC; an earlier version appeared as
arXiv:1311.3318.
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.pdf ]
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[5]
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C. Xiong, W. Chen, G. Chen, D. Johnson, and J. J. Corso.
Adaptive quantization: An information-based approach to learning
binary codes.
In Proceedings of SIAM International Conference on Data
Mining, 2014.
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[6]
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V. Dhiman, A. Kundu, F. Dellaert, and J. J. Corso.
Modern MAP inference methods for accurate and faster occupancy grid
mapping on higher order factor graphs.
In Proceedings of International Conference on Robotics and
Automation, 2014.
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[7]
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S. Kumar, M. S. Narayanan, P. Singhal, J. J. Corso, and V. Krovi.
Surgical tool attributes from monocular video.
In Proceedings of IEEE International Conference on Robotics and
Automation, 2014.
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[8]
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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.
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poster |
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[9]
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S. Kumar, V. Dhiman, and J. J. Corso.
Learning compositional sparse models of bimodal percepts.
In Proceedings of AAAI Conference on Artificial Intelligence,
2014.
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.pdf ]
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[10]
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C. Xiong, S. McCloskey, and J. J. Corso.
Latent domains for visual domain adaptation.
In Proceedings of AAAI Conference on Artificial Intelligence,
2014.
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[11]
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A. Barbu, D. Barrett, W. Chen, 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.
Seeing is worse than believing: Reading people's minds better than
computer-vision methods recognize actions.
In Proceedings of European Conference on Computer Vision, 2014.
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.pdf ]
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[12]
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G. A. Gross, D. R. Schlegel, J. J. Corso, J. Llinas, R. Nagi, and
S. C. Shapiro.
Systemic test and evaluation of a hard+soft information fusion
framework: Challenges and current approaches.
In Proceedings of International Conference on Information
Fusion, 2014.
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