Assistant Professor
Computer Science and Engineering
SUNY at Buffalo
Jason J. Corso
| Email: | jcorso@buffalo.edu |
| Office: | Bell Hall 246 |
| Phone: | 716-645-4754 |
| Bio: | [txt] |
| Vita: | [pdf] |
| Hours: | M 12-1:30 W 10-11 |
Dr. Jason J. Corso is currently an assistant professor of Computer
Science and Engineering Department at the University at Buffalo SUNY.
He received his Ph.D. in Computer Science at The Johns Hopkins
University in 2005. He received the M.S.E Degree from The Johns
Hopkins University in 2002 and the B.S. Degree with honors from Loyola
College In Maryland in 2000, both in Computer Science. He spent two
years as a post-doctoral research fellow at the University of
California, Los Angeles.
His main research thrust is Bayesian image analysis. From biomedicine to
recreational video, imaging data is ubiquitous. Yet, imaging scientists and
intelligence analysts are without an adequate language and set of tools to
fully tap the information-rich image and video. He works to provide such a
language; specifically, he studies the coupled problems of segmentation and
recognition from a Bayesian perspective emphasizing the role of statistical
models in efficient visual inference. His current research focus is to
develop techniques for automatically learning hierarchical statistical models
of complex phenomena and deriving robust efficient inference algorithms on
these models. His long-term goal is a comprehensive and robust
methodology of automatically mining, quantifying, and generalizing information
in large sets of projective and volumetric images and video. In the near term,
he is investigating the follow two research problems:
- What role can adaptive hierarchies play in learning (latent) object structure, multi-class object models, and efficient inference and computation?
- How can probabilistic ontologies be used to bridge the signal-semantics gap in high-level visual inference? Furthermore, how can they be automatically learned from data?
News and Events
Our research on speeding up Computed Tomography reconstruction with GPU's appears on NVIDIA's CUDA Zone website.
Corso is the recipient of an NSF CAREER award 2009-2014 for research in computer vision.
Corso is awarded a DARPA grant to participate in the 2009 Computer Science Study Group.
Organized the High-Performance (HP) MICCAI
2008 workshop, HPMICCAI 2008.
Selected Recent Publications
[complete list here]
| [1] |
R. S. Alomari, J. J. Corso, V. Chaudhary, and G. Dhillon.
Computer-aided diagnosis of lumbar disc pathology from clinical lower
spine mri.
International Journal of Computer Aided Radiology and Surgery,
2010.
(in press). [ bib ] |
| [2] |
P. B. Noel, A. Walczak, J. Xu, J. J. Corso, K. R. Hoffmann, and
S. Schafer.
GPU-based cone beam computed tomography.
Computer Methods and Programs in Biomedicine, 2010.
(in press). [ bib ] |
| [3] |
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 ] |
| [4] |
J. J. Corso and G. D. Hager.
Image Description with Features that Summarize.
Computer Vision and Image Understanding, 113:446-458, 2009. [ bib ] |
| [5] |
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 | pdf ] |
| [6] |
J. J. Corso, G. Ye, D. Burschka, and G. D. Hager.
A Practical Paradigm and Platform for Video-Based Human-Computer
Interaction.
IEEE Computer, 42(5):48-55, 2008.
[ bib ] |
| [7] |
J. J. Corso, E. Sharon, S. Dube, S. El-Saden, U. Sinha, and A. Yuille.
Efficient Multilevel Brain Tumor Segmentation with Integrated Bayesian Model
Classification.
IEEE Transactions on Medical Imaging. 27(5), 629-640, 2008.
[ bib ] |
CSE 555: Introduction to Pattern Recognition -- Spring 2010
CSE 642: Techniques in AI: Vision for HCI -- Fall 2009
CSE 702: Seminar in Image Semantics -- Fall 2009
CSE 555: Introduction to Pattern Recognition -- Spring 2009
CSE 702: Seminar in Pattern Theory -- Fall 2008
CSE 672: Bayesian Vision -- Spring 2008
CSE 702: Seminar: Topics in Medical Image Segmentation -- Fall 2007
CSE 642: Techniques in AI: Vision for HCI -- Fall 2009
CSE 702: Seminar in Image Semantics -- Fall 2009
CSE 555: Introduction to Pattern Recognition -- Spring 2009
CSE 702: Seminar in Pattern Theory -- Fall 2008
CSE 672: Bayesian Vision -- Spring 2008
CSE 702: Seminar: Topics in Medical Image Segmentation -- Fall 2007
Software To Download
Multilevel Segmentation Workbench -- COMING SOON -- A
Java-based tool for computing and analyzing a hierarchical
segmentation of 2D and 3D images.
Vi Input Manager
Cocoa text system plugin that extends all cocoa text fields with
Vi-like functionality.
YapBib - Your Annotated Personal Bibliography.It
is a program to aid you in keeping track of your
literature/bibliography. Exports to bibtex format.
iFaces is small Mail.app utility add-on program that
will display unread mail's sender pictures on your desktop.
Miscellaneous