Jason J. Corso
Publications List
|
tag: mrf
[1]
|
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.
[ bib |
http ]
|
[2]
|
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.
[ bib |
project |
data |
.pdf ]
|
[3]
|
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.
[ bib ]
|
[4]
|
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.
[ bib |
project |
data |
.pdf ]
|
[5]
|
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.
[ bib |
code |
project |
.pdf ]
|
[6]
|
A. Y. C. Chen and J. J. Corso.
On the effects of normalization in adaptive MRF hierarchies.
In Proceedings of CompImage '10-Computational Modeling of
Objects Presented in Images, 2010.
[ bib |
.pdf ]
|
[7]
|
R. Rodrigues, G. Schroeder, J. J. Corso, and V. Govindaraju.
Unconstrained face recognition using MRF priors and manifold
traversing.
In Proceedings of IEEE International Conference on Biometrics:
Theory, Applications, Systems, 2009.
[ bib |
.pdf ]
|
[8]
|
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.
[ bib |
.pdf ]
|
[9]
|
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.
[ bib |
.pdf ]
|
[10]
|
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.
[ bib |
code |
project |
.pdf ]
|
[11]
|
I. Nwogu and J. J. Corso.
(BP)2: Beyond Pairwise Belief Propagation, Labeling by
Approximating Kikuchi Free Energies.
In Proceedings of IEEE Conference on Computer Vision and
Pattern Recognition, 2008.
[ bib |
.pdf ]
|
[12]
|
J. J. Corso, Z. Tu, and A. Yuille.
MRF Labeling with a Graph-Shifts Algorithm.
In Proceedings of International Workshop on Combinatorial Image
Analysis, volume LNCS 4958, pages 172-184, 2008.
[ bib |
.pdf ]
|
[13]
|
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.
[ bib |
.pdf ]
|
|