�糵����

Education

Ph.D., ECE, Georgia Institute of Technology, Atlanta, Georgia, 2003
M.S., EE, Yonsei University, Seoul, Korea, 1993
B.S., EE, Yonsei University, Seoul, Korea, 1991

Research Interests

Joohee Kim joined the faculty of Illinois Institute of Technology, �糵����. IL, in 2009 and is currently an Associate Professor of the Department of Electrical and Computer Engineering.

She is the Director of Multimedia Communications Laboratory at Illinois Tech and has been actively involved in research projects funded by US Federal Agencies and Korean Government. Her current research interests include image and video signal processing, computer vision and machine learning, multimedia communication, multimedia systems, and real-time 3D reconstruction for augmented teleoperation and robotics applications.

Publications

1. Y. Liu and J. Kim, “Reconstruction of compressed-sensed multiview video with disparity and motion compensated total variation minimization,” IEEE Transactions on Circuits and Systems Video Technology, Jan. 2017.
2. C. Zhang and J. Kim, “Improving channel features using statistical analysis for pedestrian detection,” in Proceedings of the IEEE International Conference on Image Processing (ICIP), Oct. 2017.
3. M. Mesmakhosroshahi and J. Kim, “Feature-based ROI generation for stereo-based pedestrian detection,” in Proceedings of the IEEE International Conference Acoustics, Speech, Signal Proc. (ICASSP), Mar. 2017.
4. M. Loghman and J. Kim, “Fast depth estimation using semi-global matching and adaptive stripe-based optimization,” Journal of Supercomputing, Oct. 2016.
5. M. Zarshenas and J. Kim, “Fast depth estimation using spatio-temporal prediction for stereo-based pedestrian detection,” in Proceedings of the IEEE International Conference on Visual Communications and Image Processing (VCIP), Dec, 2015.
6. M. Mesmakhosroshahi and J. Kim, “Reducing search space for fast pedestrian detection,” in Proceedings of the IEEE International Conference on Visual Communications and Image Processing (VCIP), Dec. 2015.
7. C. Zhang, K.-H. Chung and J. Kim, “Region-of-interest reduction using edge and depth images for pedestrian detection in urban areas,” in Proceedings of the IEEE International SoC Design Conference (ISOCC), Nov. 2015.
8. M. Loghman, K.-H. Chung and J. Kim, “Fast stereo matching using adaptive stripebased optimization,” in Proceedings of the IEEE International SoC Design Conference (ISOCC), Nov. 2015.
9. Y. Liu, C. Zhang and J. Kim, “Disparity-compensated total-variation minimization for compressed-sensed multiview image reconstruction,” in Proceedings of the IEEE International Conference Acoustics, Speech, Signal Proc. (ICASSP), Apr. 2015.
10. K. R. Vijayanagar, M. Loghman, and J. Kim, “Real-time refinement of Kinect depth maps using multi-resolution anisotropic diffusion,” Mobile Networks and Applications, vol. 19, no. 3, pp. 414-425, Jun. 2014.
11. M. Loghman, A. Zarshenas, K.-H. Chung, Y.-S. Lee and J. Kim, “A novel depth estimation for uncalibrated stereo images,” in Proceedings of the IEEE International SoC Design Conference (ISOCC), Nov. 2014.
12. M. Loghman, K.-H. Chung, Y.-S. Lee and J. Kim, “Depth map estimation using modified Census transform and semi-global matching” in Proceedings of the IEEE International SoC Design Conference (ISOCC), Nov. 2014.
13. M. Mesmakhosroshahi, K.-H. Chung, Y.-S. Lee and J. Kim, “Depth gradient based region of interest generation for pedestrian detection,” in Proceedings of the IEEE International SoC Design Conference (ISOCC), Nov. 2014.
14. K. R. Vijayanagar, Y. Liu, and J. Kim, “Adaptive measurement rate allocation for block-based compressed sensing of depth maps,” in Proceedings of the IEEE International Conference on Image Processing (ICIP), Oct. 2014.
15. Y. Liu, K. R. Vijayanagar and J. Kim, “Quad-tree partitioned compressed sensing for depth map coding,” in Proceedings of the IEEE International Conference Acoustics, Speech, Signal Proc. (ICASSP), May 2014.
16. Y. Liu, K. R. Vijayanagar and J. Kim, “Rate-distortion optimization for compressive video sampling,” in Proceedings of the SPIE Defense, Security, and Sensing (DSS) Conference, May 2014.
17. M. Loghman and J. Kim, “Segmentation-based view synthesis for multi-view video plus depth,” Multimedia Tools and Applications, Nov. 2013.
18. M. Loghman and J. Kim, “SGM-based dense disparity estimation using adaptive census transform,” in Proceedings of the IEEE International Conference on Connected Vehicles and Expo (ICCVE), Dec. 2013.
19. K. R. Vijayanagar, J. Kim, Y.-S. Lee, and J.-B. Kim, “Efficient view synthesis for multi-view video plus depth,” in Proceedings of the IEEE International Conference on Image Processing (ICIP), pp. 2197-2201, Sep. 2013.
20. M. Mesmakhosroshahi, J. Kim, Y.-S. Lee, and J.-B. Kim, “Stereo-based region of interest generation for pedestrian detection in driver assistance systems,” in Proceedings of the IEEE International Conference on Image Processing (ICIP), pp. 3386-3389, Sep. 2013.
21. K. R. Vijayanagar, M. Loghman, and J. Kim, “Refinement of depth maps generated by low-cost depth sensors,” in Proceedings of the IEEE SoC Design Conference (ISOCC), pp. 355-358, Nov. 2012.
22. M. Loghman and J. Kim, “Segmentation-based view synthesis for three-dimensional video,” in Proceedings of the IEEE International Conference on Visual Communications and Image Processing (VCIP), pp. 1-6, Nov. 2012.
23. M. Mesmakhosroshahi and J. Kim, “Improving spatio-temporal feature extraction techniques and their applications in action classification,” in Proceedings of the IEEE International Conference on Visual Communications and Image Processing (VCIP), pp. 1-6, Nov. 2012.
24. K. R. Vijayanagar and J. Kim, “Compression of layered depth video using block truncation coding,” in Proceedings of the IEEE 3DTV Conference (3DTV-CON), pp. 1-4, Oct. 2012.
25. K. R. Vijayanagar and J. Kim, “Real-time low-bit-rate multimedia communication for smart spaces and wireless sensor networks,” IET Communications, vol. 5, no. 17, pp. 2482-2490, Nov. 2011.

Expertise

Multimedia signal processing and communication including low-complexity image/video coding, compressed image/video sensing, error-resilient video coding and transmission, 3-D video representation and transmission, multi-view video coding, depth map processing and coding; Computer vision and video analysis including object detection and recognition, deep learning, real-time 3D reconstruction.