Jason J. Corso
Publications List
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tag: video understanding
[1]
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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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[2]
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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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[3]
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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.
(In Press) Selected as a Best Paper from ICSC; an earlier version
appeared as arXiv:1311.3318.
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[4]
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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, 2014.
(In Press).
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http ]
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[5]
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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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[6]
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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.
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[7]
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C. Xu, S. Whitt, and J. J. Corso.
Flattening supervoxel hierarchies by the uniform entropy slice.
In Proceedings of the IEEE International Conference on Computer
Vision, 2013.
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[8]
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C. Xu, R. F. Doell, S. J. Hanson, C. Hanson, and J. J Corso.
Are actor and action semantics retained in video supervoxel
segmentation?
In Proceedings of IEEE International Conference on Semantic
Computing, 2013.
[ bib |
.pdf ]
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[9]
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S. Kumar, M. Narayanan, P. Singhal, J. J. Corso, and V. Krovi.
Product of tracking experts for surgical tool visual tracking.
In IEEE Conference on Automation Science and Engineering, 2013.
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[10]
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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.
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poster |
data |
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[11]
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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.
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[12]
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C. Xu, C. Xiong, and J. J. Corso.
Streaming hierarchical video segmentation.
In Proceedings of European Conference on Computer Vision, 2012.
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code |
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[13]
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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.
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[14]
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P. Agarwal, S. Kumar, J. Ryde, J. J. Corso, and V. N. Krovi.
An optimization based framework for human pose estimation in
monocular videos.
In Proceedings of International Symposium on Visual Computing,
2012.
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[15]
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M. A. Bustamante and J. J. Corso.
Using probabilistic ontologies for video exploration.
In Proceedings of the Eighteenth Americas Conference on
Information Systems, 2012.
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[16]
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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.
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slides |
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[17]
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P. Agarwal, S. Kumar, J. Ryde, J. J. Corso, and V. N. Krovi.
Estimating human dynamics on-the-fly using monocular video for pose
estimation.
In Proceedings of Robotics Science and Systems, 2012.
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[18]
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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.
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[19]
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C. Xu and J. J. Corso.
Evaluation of super-voxel methods for early video processing.
In Proceedings of IEEE Conference on Computer Vision and
Pattern Recognition, 2012.
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code |
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[20]
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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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[21]
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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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[22]
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A. Y. C. Chen and J. J. Corso.
Propagating multi-class pixel labels throughout video frames.
In Proceedings of Western New York Image Processing Workshop,
2010.
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[23]
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J. J. Corso.
Techniques for Vision-Based Human-Computer Interaction.
PhD thesis, The Johns Hopkins University, 2005.
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[24]
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G. Ye, J. J. Corso, and G. D. Hager.
Real-Time Vision for Human-Computer Interaction, chapter 7:
Visual Modeling of Dynamic Gestures Using 3D Appearance and Motion Features,
pages 103-120.
Springer-Verlag, 2005.
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[25]
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D. Burschka, J. J. Corso, M. Dewan, W. Lau, M. Li, H. Lin,
P. Marayong, N. Ramey, G. D. Hager, B. Hoffman, D. Larkin, and C. Hasser.
Navigating Inner Space: 3-D Assistance for Minimally Invasive
Surgery.
Robotics and Autonomous System, 2005.
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[26]
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N. Ramey, J. J. Corso, W. W. Lau, D. Burschka, and G. D. Hager.
Real Time 3D Surface Tracking and Its Applications.
In Proceedings of Workshop on Real-time 3D Sensors and Their
Use (at CVPR 2004), 2004.
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[27]
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G. Ye, J. J. Corso, and G. D. Hager.
Gesture Recognition Using 3D Appearance and Motion Features.
In Proceedings of Workshop on Real-time Vision for
Human-Computer Interaction (at CVPR 2004), 2004.
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