Junhwan Kim
| Ph. D Student, Computer Science Dept, Cornell University Address: TBD Phone: TBD Fax: TBD  |
|
Junhwan Kim
|
I work in the area of medical image analysis under supervision of Prof. Ramin Zabih. I am interested in applying various computer vision techniques, particularly graph-cuts based techniques that Ramin Zabih and his colleagues have pioneered for last few years. Also I am interested in software engineering and have passed the Chartered Financial Analyst (CFA) Level I exam.
I am extremely fortunate to have an opportunity to collaborate with outstanding people. I currently work with Ramin Zabih, Martin Prince, Hale Erel, Richard Watts, and Yi Wang (now at Univ. of Pittsburgh) at Magnetic Resonance Laboratory, Weill Medical College of Cornell University, and Vladimir Kolmogorov and Amy Gale at Computer Science Dept.
Thesis Projects |
|
 |
Part I Automatic Selection of Mask and Arterial Phase Images for Temporally-Resolved MR Digital Subtraction Angiography J. Kim, M. Prince, R. Zabih, J. Bezanson, R. Watts, H. Erel, and Y. Wang. Magnetic Resonance in Medicine, 48(6):1004-1010, 2002. International Society for Magnetic Resonance in Medicine (ISMRM), 10th Scientific Meeting and Exhibition, Honolulu HI, May 2002. XVI Annual International Workshop on Magnetic Resonance Angiography, Essen, Germany, Oct 2002. [Paper] [Abstract (1pg pdf)] [Talk Slide 3.9MB] [Web Page] |
 |
Part II A segmentation algorithm for contrast-enhanced images J. Kim and R. Zabih International Conference on Computer Vision (ICCV), Nice, France, Oct 2003. [Paper] [Poster Slide] |
 |
Part III Visual correspondence using energy minimization and mutual information J. Kim, V. Kolmogorov, and R. Zabih International Conference on Computer Vision (ICCV), Nice, France, Oct 2003. [Paper] [Poster Slide] |
Miscellaneous Projects |
|
 |
Automatic detection and identification of malignant features in contrast-enhanced MR imaging of the breast |
 |
Automatic analysis of early enhancement in 2D Projection MRA as a marker of the chronic injury in diabetes |
 |
Factorial Markov Random Fields J. Kim and R. Zabih European Conference on Computer Vision 2002. LNCS 2352, pp. 321-334, 2002 [Paper (ps)] [Poster Slide 1MB] [LNCS Web Page] |
 |
Jigsaw Image Mosaics J. Kim and F. Pellacini Proceedings of ACM SIGGRAPH 2002, To appear [Paper (pdf)] [Talk Slide] [Web Page] |
Unsuccessful Attempts |
|
 |
Autocorrection based on Scale Space Theory and Gabor Transform Wasted time: 2.5 months Lesson: Don't use SST unless you are Swedish. |
|
AutoDSA based on Robust Statistics Wasted time: 3 months Lesson 1: Robust statistics is not so a fancy tool despite what some computer vision guys advocate. Lesson 2: KISS |
 |
Three-dimensional Polygon Mesh Decomposition using Normalized Cut International Conference on Pattern Recognition 2002. Accepted Wasted time: 2 weeks Lesson: No one is as much interested in your work as you are. |
 |
An Effective Colorization Framework using Motion Disparity International Conference on Image Processing 2002. Rejected Wasted time: 3 weeks Lesson: Same as above. |
Since 15 Apr 2002, Last modified: 21 Jul 2003