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[1]
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Y. Yan, C. Xu, D. Cai, and J. J. Corso.
Weakly supervised actor-action segmentation via robust multi-task
ranking.
In Proceedings of IEEE Conference on Computer Vision and
Pattern Recognition, 2017.
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[2]
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C. Xu and J. J. Corso.
Actor-action semantic segmentation with grouping-process models.
In Proceedings of IEEE Conference on Computer Vision and
Pattern Recognition, 2016.
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[3]
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C. Xu, S.-H. Hsieh, C. Xiong, and J. J. Corso.
Can humans fly? Action understanding with multiple classes of
actors.
In Proceedings of IEEE Conference on Computer Vision and
Pattern Recognition, 2015.
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poster |
data |
.pdf ]
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[4]
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J. J. Corso.
Toward parts-based scene understanding with pixel-support
parts-sparse pictorial structures.
Pattern Recognition Letters: Special Issue on Scene
Understanding and Behavior Analysis, 34(7):762--769, 2013.
Early version appears as arXiv.org tech report 1108.4079v1.
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.pdf ]
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[5]
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J. A. Delmerico, P. David, and J. J. Corso.
Building facade detection, segmentation, and parameter estimation for
mobile robot stereo vision.
Image and Vision Computing, 31(11):841--852, 2013.
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project |
data |
.pdf ]
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[6]
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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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.pdf ]
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[7]
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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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code |
project |
.pdf ]
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[8]
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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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project |
data |
.pdf ]
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[9]
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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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[10]
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J. J. Corso.
Discriminative Modeling by Boosting on Multilevel Aggregates.
In Proceedings of IEEE Conference on Computer Vision and
Pattern Recognition, 2008.
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.pdf ]
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[11]
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J. J. Corso, A. Yuille, and Z. Tu.
Graph-Shifts: Natural Image Labeling by Dynamic Hierarchical
Computing.
In Proceedings of IEEE Conference on Computer Vision and
Pattern Recognition, 2008.
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code |
project |
.pdf ]
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[12]
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J. J. Corso, R. S. Alomari, and V. Chaudhary.
Lumbar disc localization and labeling with a probabilistic model on
both pixel and object features.
In Proceedings of Medical Image Computing and Computer Aided
Intervention (MICCAI), volume LNCS 5241 Part 1, pages 202--210, 2008.
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.pdf ]
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[13]
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A. Y. C. Chen, J. J. Corso, and L. Wang.
HOPS: Efficient region labeling using higher order proxy
neighborhoods.
In Proceedings of International Conference on Pattern
Recognition, 2008.
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.pdf ]
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[14]
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J. J. Corso, Z. Tu, A. Yuille, and A. W. Toga.
Segmentation of Sub-Cortical Structures by the Graph-Shifts
Algorithm.
In Proceedings of Information Processing in Medical Imaging
(IPMI), volume LNCS 4584, pages 183--197, 2007.
[ bib |
.pdf ]
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[15]
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J. J. Corso, A. L. Yuille, N. L. Sicotte, and A. Toga.
Detection and Segmentation of Pathological Structures by the
Extended Graph-Shifts Algorithm.
In Proceedings of Medical Image Computing and Computer Aided
Intervention (MICCAI), 2007.
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.pdf ]
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[16]
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Y. Yan, C. Xu, D. Cai, and J. J. Corso.
A weakly supervised multi-task ranking framework for actor-action
semantic segmentation.
International Journal of Computer Vision, 2019 (to appear).
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