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Jason J. Corso
Publications List
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[1]
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C. S. Lea and J. J. Corso.
Efficient hierarchical markov random fields for object detection on a
mobile robot.
Technical Report 1111.1599v1, arXiv, November 2011.
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[2]
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Y. Miao and J. J. Corso.
Hamiltonian streamline guided feature extraction with applications to
face detection.
Technical Report 1108.3525v1, arXiv, August 2011.
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[3]
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A. Perera, S. Oh, M. Leotta, I. Kim, B. Byun, C.-H. Lee, S. McCloskey, J. Liu,
B. Miller, Z. F. Huang, A. Vahdat, W. Yang, G. Mori, K. Tang, D. Koller,
L. Fei-Fei, K. Li, G. Chen, J. J. Corso, Y. Fu, and R. K.
Srihari.
GENIE TRECVID2011 multimedia event detection: Late-fusion
approaches to combine multiple audio-visual features.
In NIST TRECVID Workshop, 2011.
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[4]
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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.
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[5]
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P. Agarwal, S. Kumar, J. J. Corso, and V. N. Krovi.
Estimating dynamics on-the-fly using monocular video.
In Proceedings of 4th Annual Dynamic Systems and Control
Conference, 2011.
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[6]
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D. R. Schlegel, A. Y. C. Chen, C. Xiong, J. A. Delmerico, and J. J.
Corso.
AirTouch: Interacting with computer systems at a distance.
In Proceedings of IEEE Winter Vision Meetings: Workshop on
Applications of Computer Vision (WACV), 2011.
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[7]
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D. Gagneja, C. Xiong, and J. J. Corso.
Towards a parts-based approach to sub-cortical brain structure
parsing.
In Proceedings of SPIE Conference on Medical Imaging, 2011.
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[8]
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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.
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[9]
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R. S. Alomari, J. J. Corso, V. Chaudhary, and G. Dhillon.
Toward a clinical lumbar CAD: Herniation diagnosis.
International Journal of Computer Aided Radiology and Surgery,
6(1):119-126, 2011.
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[10]
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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.
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