SVCL - Vijay Mahadevan

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Vijay Mahadevan
Department of Electrical and Computer Engineering,
University of California, San Diego
9500 Gilman Drive,
EBU 1, Room 5512
La Jolla, CA 92093-0409

vmahadev at ucsd.edu
Phone: (858) 534-4538

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
On the plausibility of the discriminant center-surround hypothesis for visual saliency
Dashan Gao, Vijay Mahadevan and Nuno Vasconcelos, (in press) Journal of Vision.
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, (in press) IEEE Transactions on Information Technology in Biomedicine.

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

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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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 On the plausibility of the discriminant center-surround hypothesis for visual saliency Dashan Gao, Vijay Mahadevan and Nuno Vasconcelos, (in press) Journal of Vision. 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, (in press) IEEE Transactions on Information Technology in Biomedicine. 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 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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