Kishore K. Reddy

I am currently doing my PhD in Computer Vision Lab under Dr. Mubarak Shah at University of Central Florida. My areas of interest are action recognition in real videos and aerial videos and brain tumor detection and segmentation.

Computer Vision Lab

Projects
Action Recognition

• VIRAT: Detection of actions from aerial videos.
• YOUTUBE: Detection of action in realistic videos.

Brain Tumor

• NIH Project: Detection, segmentation and volume measurement of brain tumor.
  

Papers

• Kishore K. Reddy, Berkan Solmaz, Pingkun Yan, Nicholas G. Avgeropoulos, David J. Rippe and Mubarak Shah, Confidence Guided Enhancing Brain Tumor Segmentation in Multi-Parametric MRI, International Symposium on Biomedical Imaging (ISBI), April 2012. (Oral)

• Corey McCall, Kishore Reddy, and Mubarak Shah, Macro-Class Selection for Hierarchical K-NN Classification of Inertial Sensor Data, Second International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS), February 2012. (Oral)

• Sangmin Oh, Anthony Hoogs, Amitha Perera, Naresh Cuntoor, Chia-Chih Chen, Jong Taek Lee, Saurajit Mukherjee, J. K. Aggarwal, Hyungtae Lee, Larry Davis, Eran Swears, Xioyang Wang, Qiang Ji, Kishore Reddy, Mubarak Shah, Carl Vondrick, Hamed Pirsiavash, Deva Ramanan, Jenny Yuen, Antonio Torralba, Bi Song, Anesco Fong, Amit Roy-Chowdhury, and Mita Desai, A Large-scale Benchmark Dataset for Event Recognition in Surveillance Video, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2011.

• Kishore Reddy, Jingen Liu, and Mubarak Shah, Incremental Action Recognition Using Feature-Tree, International Conference on Computer Vision (ICCV), September 2009.

Demos

• Kishore Reddy, Jonathan Poock, Jingen Liu, and Mubarak Shah, KEYS: Real-time Action Recognition Using Feature-Tree, International Conference on Computer Vision (ICCV), September 2009.

Nonlinear Control Systems and System Identification

Projects
NONLINEAR CONTROL DESIGN: Adaptive MIMO Control Design for Aeroelastic Vibration Suppression using Tunning Functions, Adaptive Back Stepping and Output Feedback methods.

SYSTEM IDENTIFICATION: Nonparametric modeling and identification using Volterra kernels. We are working on the following systems data to do system identification

• Gammamotor Neurons

• Aeroelastic Wing Section

• Circulating Fluidized Bed Systems

Papers

• V.M. Rao, A.K. Jain, K.K. Reddy, and A. Behal, “Experimental Comparison of Digital Implementations of Single-Phase PFC Controllers”, IEEE Transactions on Industrial Electronics, Vol. 55, No. 1, pp. 67-78, January 2008.

• V.M. Rao, A.K. Jain, K.K. Reddy, and A. Behal, “Nonlinear Control of a Single Phase Unity Power Factor Rectifier: Design, Analysis, and Experimental Results”, revision submitted to the IEEE Transactions on Control Systems Technology, September 2007.

• V.M. Rao, A. Behal, A. K. Jain, and K. K. Reddy, “Experimental Comparison of Digital Control Techniques for Single Phase Power Factor Correction,” IEEE Transactions on Industrial Electronics, December 2007.

• K.K. Reddy, J. Chen, A. Behal, and P. Marzocca, “Multi-Input/Multi-Output Adaptive Output Feedback Control Design for Aeroelastic Vibration Suppression”, AIAA Journal of Guidance, Control, and Dynamics, Vol. 30, No. 4, pp. 1040-1048, July-August 2007

• V.M. Rao, K.K. Reddy, A. Behal, and A.K. Jain, “Modeling, Control, and Experimental Results for a Single Phase One Quadrant Unity Power Factor Rectifier”, Proc. of the IEEE Conference on Decision and Control, San Diego, CA, pp. 6223-6228, December 2006.