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Ganesh Sundaramoorthi

Assistant Professor (Adjunct), Electrical Engineering

Computer, Electrical and Mathematical Science and Engineering Division


Education Profile

  • Ph.D., Electrical and Computer Engineering, Georgia Institute of Technology, United States, 2008
  • M.S., Mathematics, Georgia Institute of Technology, United States, 2005
  • B.S., Applied Mathematics, Georgia Institute of Technology, United States, 2003

Research Interests

​His research lies in both theory and application of computer vision. He develop fundamental mathematical methods at the intersection of optimization, geometry, partial differential equations, and statistics for advancing computer vision.

Selected Publications

  • Sundaramoorthi, G., Yezzi, A. (2018). Accelerated Optimization in the PDE Framework: Formulations for the Manifold of Diffeomorphisms, (Preprint). https://hdl.handle.net/10754/627489
  • Algarni, M., & Sundaramoorthi, G. (2018). SurfCut: Surfaces of Minimal Paths From Topological Structures. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1–1. doi:10.1109/tpami.2018.2811810
  • Lao, D., & Sundaramoorthi, G. (2017). Minimum Delay Moving Object Detection. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). doi:10.1109/cvpr.2017.511
  • Khan, N., Hong, B.-W., Yezzi, A., & Sundaramoorthi, G. (2017). Coarse-to-Fine Segmentation with Shape-Tailored Continuum Scale Spaces. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). doi:10.1109/cvpr.2017.188
  • Algarni, M., & Sundaramoorthi, G. (2016). SurfCut: Free-Boundary Surface Extraction. Lecture Notes in Computer Science, 171–186. doi:10.1007/978-3-319-46478-7_11