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Jason J. Corso
Publications List
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tag: segmentation
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[1]
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B. Griffin and J. J. Corso.
BubbleNets: Learning to select the guidance frame in video object
segmentation by deep sorting frames.
In Proceedings of IEEE Conference on Computer Vision and
Pattern Recognition, 2019.
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[2]
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B. Griffin and J. J. Corso.
Tukey-inspired video object segmentation.
In Proceedings of IEEE Winter Conference on Applications of
Computer Vision, 2019.
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[3]
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C. Chen and J. J. Corso.
Joint occlusion boundary detection and figure/ground assignment by
extracting common-fate fragments in a back-projection scheme.
Pattern Recognition, 64:15--28, 2017.
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[4]
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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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[5]
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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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[6]
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C. Xu and J. J. Corso.
LIBSVX: A supervoxel library and benchmark for early video
processing.
International Journal of Computer Vision, 119:272--290, 2016.
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[7]
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J. Lu, R. Xu, and J. J. Corso.
Human action segmentation with hierarchical supervoxel consistency.
In Proceedings of IEEE Conference on Computer Vision and
Pattern Recognition, 2015.
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[8]
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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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[9]
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B. H. Menze, A. Jakab, S. Bauer, J. Kalpathy-Cramer, K. Farahani, J. Kirby,
Y. Burren, N. Porz, J. Slotboom, R. Wiest, L. Lanczi, R. Gerstner, M.-A.
Weber, T. Arbel, B. B. Avants, N. Ayache, P. Buendia, D. L. Collins,
N. Cordier, J. J. Corso, A. Criminisi, T. Das, H. Delingette,
C. Demiralp, C. R. Durst, M. Dojat, S. Doyle, J. Festa, F. Forbes,
E. Geremia, B. Glocker, P. Golland, X. Guo, A. Hamamci, K. M. Iftekharuddin,
R. Jena, N. M. John, E. Konukoglu, D. Lashkari, J. A. Mariz, R. Meier,
S. Pereira, D. Precup, S. J. Price, T. Riklin Raviv, S. Reza, M. Ryan,
D. Sarikaya, L. Schwartz, H.-C. Shin, J. Shotton, C. A. Silva, N. Sousa,
N. K. Subbanna, G. Szekely, T. J. Taylor, O. M. Thomas, N. J. Tustison,
G. Unal, F. Vasseur, M. Wintermark, D. H. Ye, L. Zhao, B. Zhao, D. Zikic,
M. Prastawa, M. Reyes, and K. Van Leemput.
The multimodal brain tumor image segmentation benchmark (brats).
IEEE Transactions on Medical Imaging, 34(10):1993--2024, 2015.
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[10]
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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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[11]
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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.
[ bib |
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[12]
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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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[13]
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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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[14]
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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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[15]
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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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[16]
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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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[17]
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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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[18]
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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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[19]
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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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data |
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[20]
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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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[21]
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C. S. Hoeflich and J. J. Corso.
Segmentation of 2D Gel Electrophoresis Spots using a Markov Random
Field.
In Proceedings of SPIE Conference on Medical Imaging, 2009.
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[22]
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T. J. Burns and J. J. Corso.
Robust unsupervised segmentation of degraded document images with
topic models.
In Proceedings of IEEE Conference on Computer Vision and Pattern
Recognition, 2009.
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[23]
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Y. Tao, L. Lu, M. Dewan, A. Y. C. Chen, J. J. Corso, J. Xuan,
M. Salganicoff, and A. Krishnan.
Multi-level ground glass nodule detection and segmentation in ct lung
images.
In Proceedings of Medical Image Computing and Computer Aided
Intervention (MICCAI), volume LNCS 5762, pages 715--723, 2009.
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[24]
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S. Dube, J. J. Corso, A. Yuille, T. F. Cloughesy, S. El-Saden, and
U. Sinha.
Hierarchical Segmentation of Malignant Gliomas Via Integrated
Contextual Filter Response.
In Proceedings of SPIE Conference on Medical Imaging, 2008.
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[25]
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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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[26]
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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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[27]
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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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[28]
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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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[29]
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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.
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[30]
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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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[31]
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J. J. Corso and G. D. Hager.
Coherent Regions for Concise and Stable Image Description .
In Proceedings of IEEE Conference on Computer Vision and
Pattern Recognition, volume 2, pages 184--190, 2005.
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[32]
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J. J. Corso, M. Dewan, and G. D. Hager.
Image Segmentation Through Energy Minimization Based Subspace
Fusion.
Technical Report CIRL-TR-04-01, The Johns Hopkins University, 2004.
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[33]
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J. J. Corso, M. Dewan, and G. D. Hager.
Image Segmentation Through Energy Minimization Based Subspace
Fusion.
In Proceedings of 17th International Conference on Pattern
Recogntion (ICPR 2004), 2004.
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[34]
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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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