What is Computer Vision
 

J. Dowdall, I. Pavlidis, and G. Bebis, "Face Detection Using Multi-Band Fusion", Image and Vision Computing, vol 21, no. 7, pp. 565-578, 2003.

Z. Sun, G. Bebis, and R. Miller, "Monocular Pre-crash Vehicle Detection: Features and Classifiers", IEEE Transactions on Intelligent Transportation Systems, 2004 (accepted).

Z. Sun, G, Bebis, and R. Miller, "Boosting Object Detection Using Feature Selection", Pattern Recognition, 2004 (in press).

J. Dowdall, I. Pavlidis, and G. Bebis, "A Face Detection Method Based on Multi-Band Feature Extraction in the Near-IR Spectrum", IEEE Workshop on Computer Vision Beyond the Visible Spectrum, Hawaii, December 2001.

J. Dowdall, I. Pavlidis, and G. Bebis "Face Detection in the Near-IR Spectrum", AeroSense SPIE Conference, April 2003
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Z. Sun, G. Bebis, and R. Miller, "Evolutionary Gabor Filter Optimization with Application to Vehicle Detection", IEEE International Conference on Data Mining, pp.307-314, November 2003.

Z. Sun, G. Bebis, and R. Miller, "Boosting Object Detection Using Feature Selection", IEEE International Conference on Advanced Video and Signal Based Surveillance, pp.290-296, July 2003.

Z. Sun, R. Miller, G. Bebis, and D. DiMeo, "A Real-time Precrash Vehicle Detection System", IEEE Workshop on Applications of Computer Vision, pp. 171-176, Orlando, December 2002.

Z. Sun, G. Bebis, and R. Miller, "On-Road Vehicle Detection Using Gabor Filters and Support Vector Machines", IEEE International Conference on Digital Signal Processing, July 2002.

Z. Sun, G. Bebis, and R. Miller, "Improving the Performance of On-Road Vehicle Detection by Combining Gabor and Wavelet Features", IEEE International Conference on Intelligent Transporation Systems, September 2002.

Z. Sun, G. Bebis, and R. Miller, "Quantized Wavelet Features and Support Vector Machines for On-Road Vehicle Detection", IEEE International Conference on Control, Automation, Robotics and Vision, December 2002.

B. Westphal and T. Syeda-Mahmood, "A On learning video browsing behavior from user interactions", 11th International Wold Wide Web Conference, May 2002.

R. Cavin, A. Nefian, and N. Goel, "Bayesian Formulation for 3-D Articulated Upper Body Segmentation and Tracking from Dense Disparity Maps", International Conference on Image Processing, August 2003.

J. Bhatt, N. Lobo, M. Shah, and G. Bebis, "Automatic Recognition of a Baby Gesture", 15th IEEE International Conference on Tools with Artificial Intelligence, November 2003.

K. Deshpande and D. Egbert, "Capturing Communications Data for Development, Debugging, and Protocol Analysis", 18th International Conference on Computers and their Applications, May 2003.

T. Syeda-Mahmood and S. Okamoto, "Detecting Salient Changes in Genomic Signals", ICASPP 2003.

M. Eser, Ge Cong, B. Parvin, and G. Bebis, "Metamorphosis of Solid Shaps based on p-Laplacian Equation", Visual Computer, 2003 (under review).

A. Gyarouva, C. Kamath, and S.-C. Cheung, "Block Matching for Object Tracking", LLNL Technical report, UCRL-TR-200271, 2003.

A. Gyarouva, C. Kamath, and I. Fodor, "Undecimated wavelet transforms for image de-noising", LLNL Technical report, UCRL-ID-150931, 2002.

Z. Sun, G. Bebis, X. Yuan, and S. Louis, "Genetic Feature Subset Selection for Gender Classification: A Comparison Study", IEEE Workshop on Applications of Computer Vision, Orlando, December 2002

Z. Sun, X. Yuan, G. Bebis, and S. Louis. "A Neural-Network-Based Gender Classification Using Genetic Eigen-Feature Extraction", IEEE International Joint Conference on Neural Networks. May 2002, Honoloulu, Hawaii

 

 


 




© 2001 UNR Computer Science Department. All rights reserved.
Program related questions/comments: mailto:bebis@cs.unr.edu
Last Update: January 2004.