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  Vijay Mahadevan

Department of Electrical and Computer Engineering,
University of California, San Diego
9500 Gilman Drive,
EBU 1, Room 5101
La Jolla, CA 92093-0409

vmahadev at ucsd.edu
Phone: (858) 822-2105

I am a graduate student affiliated with the Statistical Visual Computing Lab, Department of Electrical and Computer Engineering at University of California, San Diego (UCSD). I received  a B.Tech in Electrical Engineering from Indian Institute of Technology Madras, in 2002, and an M.S. in Electrical Engineering from R.P.I, Troy, NY, in 2003.  Subsequently, I was with the Multimedia Group of Qualcomm CDMA Technologies , Qualcomm Inc., till June 2006.


Research:
 

My research interests are primarily in computer vision, machine learning, and  biomedical image analysis.


Publications:
  JOURNALS

A Novel Approach to FRUC using Discriminant Saliency and Frame Segmentation
N. Jacobson, Y-L. Lee, V. Mahadevan, N. Vasconcelos and T.Q. Nguyen, IEEE Transactions on Image Processing, in print

Generalized Stauffer-Grimson Background Subtraction for Dynamic Scenes
A. B. Chan, V. Mahadevan and N. Vasconcelos, Machine Vision and Applications, vol. 22(5), 751-766, 2011. [ps] [pdf]

Spatiotemporal Saliency in Highly Dynamic Scenes
V. Mahadevan and N. Vasconcelos, IEEE Transactions on Pattern Analysis and Machine Intelligence,vol. 32(1), 171-177, January 2010 IEEE [ps] [pdf]

On the plausibility of the discriminant center-surround hypothesis for visual saliency
Dashan Gao, Vijay Mahadevan and Nuno Vasconcelos, Journal of Vision 8(7):13, 1-18, 2008. [ps] [pdf]

Improved Detection of the Central Reflex in Retinal Vessels Using a Generalized Dual Gaussian Model and Robust Hypothesis Testing
H. Narasimha Iyer, V. Mahadevan, J. M. Beach and B. Roysam, IEEE Transactions on Information Technology in Biomedicine. vol. 12, no. 3,pp. 406-410, May 2008,

3D Model-Based Complexity Analysis of Tumor Microvasculature from in vivo Multiphoton Confocal Images
J. A. Tyrell, V. Mahadevan, R. Tong, E. Brown, B. Roysam and R. K. Jain, vol. 70, pp. 165-178, Journal of Microvascular Research, 2005.

 Robust Model-Based Vasculature Detection in Noisy Biomedical Images
V. Mahadevan, H. Narasimha Iyer, B. Roysam and H. Tanenbaum, IEEE Transactions on Information Technology in Biomedicine, vol. 8, no. 3, pp. 360-376, Sept. 2004.

CONFERENCES

Maximum Covariance Unfolding - Manifold Learning for Bimodal Data
V. Mahadevan, C-W. Wong, J. Costa-Pereira, T.T. Liu, N. Vasconcelos and L.K. Saul, Neural Information Processing Systems (NIPS), Granada, Spain, Dec 2011. IEEE [ps] [pdf]

Motion Vector Refinement for FRUC Using Saliency and Segmentation
N. Jacobson, Y-L. Lee, V. Mahadevan, N. Vasconcelos and T.Q. Nguyen, IEEE International Conference on Multimedia & Expo (ICME), Singapore, July 2010. IEEE [ps] [pdf]

Anomaly Detection in Crowded Scenes
V. Mahadevan, W. Li, V. Bhalodia and N. Vasconcelos, oral presentation (acceptance rate 5%) IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, June 2010. IEEE [ps] [pdf]

On the Design of Robust Classifiers for Computer Vision
H. Masnadi-Shirazi, V. Mahadevan and N. Vasconcelos, oral presentation (acceptance rate 5%) IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, June 2010. IEEE [ps] [pdf]

Saliency Based Discriminant Tracking
Vijay Mahadevan and Nuno Vasconcelos, oral presentation (acceptance rate 4%), IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami, FL, June 2009. IEEE [ps] [pdf]

Background Subtraction in Highly Dynamic Scenes
Vijay Mahadevan and Nuno Vasconcelos, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, AK, June 2008. IEEE [ps] [pdf]

Unsupervised Moving Target Detection in Dynamic Scenes
Vijay Mahadevan and Nuno Vasconcelos, Army Science Conference, Orlando, FL, Dec 2008.

The discriminant center-surround hypothesis for bottom-up saliency
Dashan Gao, Vijay Mahadevan and Nuno Vasconcelos, Neural Information Processing Systems (NIPS), Vancouver, Canada, Dec 2007. IEEE [ps] [pdf]

Robust Parametric Modeling for Improved Segmentation of Complex Tumor Microvasculature from Multiphoton Microscopy Data
J. A. Tyrrell, V. Mahadevan, R. Tong, B. Roysam, E.B. Brown, R.K. Jain, 62nd Annual meeting of the Microscopy Society of America, Savannah, Aug 2004. (winner of Presidential Award for student papers).

Complexity Analysis for Angiogenesis Vasculature
V. Mahadevan, J. A. Tyrell, R. Tong, E. Brown, B. Roysam and R. K. Jain, SPIE Conference on Medical Imaging, San Diego, Feb 2005.


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