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eDUCATION

Johns Hopkins University (2004 - present)
Ph.D. in Electrical and Computer Engineering
Johns Hopkins University (2004 - 2006)
M.S.E. in Electrical and Computer Engineering (GPA: 3.97/4.00)
Indian Institute of Technology, Bombay (2000 - 2004)
B. Tech in Electrical Engineering (GPA: 8.32/10.00)

research exeperience

Research Assistant, Center for Imaging Science, JHU, MD, USA (2004 - present)

Currently working on developing theory and algorithms for general purpose image segmentation. Particularly interested in developing hybdrid formulations that include existing graph-theoretic segmentation algorithms as special cases.
Currently working on developing theory and algorithms for general purpose image matting. Studied the problem of estimating the mattes for n>=2 image layers and characterized the properties of the resulting solutions.
Developed a closed form algebraic solution for segmenting mixtures of 2-D motion models in dynamic scenes, directly from the image intensities. Proposed the Multibody Brightness Constancy Constraint} as an extension of the standard Brightness Constancy Constraint to the case of multiple motions.li>
Worked in collaboration with the Applied Physics Laboratory (APL), JHU to develop algorithms for the surveillance of moving targets in dynamic environments via unmanned aircrafts.

Proposed novel appearance models for closed form solutions to image matting. Demonstrated that they outperform the appearance models used in existing matting algorithms.
Explored the use of higher order MRFs in building hifher order data driven likelihood potentials for labeling problems in computer vision.

Research Intern, Siemens Corporate Research, Princeton, NJ, USA (Summer 2007)

Proposed and developed generalizations of the Random Walker algorithm towards the design of algorithms for general purpose image segmentation. In particular, devised an algorithm for introducing directional nature in the Random Walker algorithm.

Did a literature survey on signal detection by radars and the problems associated in removal of clutter. Subsequently designed and implemented an algorithm for the removal of sea clutter.

Designed and implemented an algorithm for the recursive estimation of tri-focal tensors
As part of a team of 3 students, designed and built a low-power and low-cost autonomous system for monitoring environmental variables such as rainfall level, wind speed and pH value of water bodies.

D. Singaraju, L. Grady and R. Vidal.
Continuous Valued MRFs with Normed Pairwise Distributions for Image Segmentation
IEEE International Conference on Computer Vision and Pattern Recognition, 2009
D. Singaraju, C. Rhemann and C. Rother.
New Appearance Models for Image Matting
IEEE International Conference on Computer Vision and Pattern Recognition, 2009
D. Singaraju, L. Grady and R. Vidal.
Interactive Image Segmentation via Minimization of Quadratic Energies on Directed Graphs. (pdf)
IEEE International Conference on Computer Vision and Pattern Recognition, 2008
D. Singaraju and R. Vidal.
Interactive Image Matting for Multiple Layers. (pdf)
IEEE International Conference on Computer Vision and Pattern Recognition, 2008
T. Li, V. Kallem, D. Singaraju and R. Vidal.
Projective Factorization of Multiple Rigid-Body Motions. (pdf)
IEEE International Conference on Computer Vision and Pattern Recognition, 2007
D. Singaraju and R. Vidal.
Direct Segmentation of Multiple Motion Models of Different Types (pdf) International Workshop on Dynamic Vision, 2006
D. Singaraju and R. Vidal.
A Bottom-Up Algebraic Approach to Motion Segmentation (pdf)
Asian Conference of Computer Vision, 2006
R. Vidal and D. Singaraju.
A Closed-Form Solution to Direct Motion Segmentation (pdf)
IEEE International Conference on Computer Vision and Pattern Recognition, 2005

Recipient of Outstanding Reviewer Award at ICCV 2007.
Ranked 169 in the Indian Institute of Technology Joint Entrance
Examination (IIT-JEE) conducted on a national level and taken by
approximately 200,000 students.
Recipient of the Pratibha Scholarship awarded by the Andhra Pradesh State Government to the top 20 rankers in IIT-JEE from the state.