I'm interested in image processing, computer vision, computational photography, and deep learning. Much of my interest lies in constructing mathematical model of a given problem from first principles and in developing respective inverse model; taking into account ill-posedness (if present) via regularization theory, and other computational considerations such as convex optimization, computational cost, and convergence. |

Mahesh Mohan M. R., Sharath Girish, and A. N. Rajagopalan ICCV, 2019 (Oral Presentation) paper / supplement / slides / poster / bib Motion deblurring for dual-lens cameras possess an | |

Mahesh Mohan M. R. and A. N. Rajagopalan CVPR, 2018 paper / supplement / slides / poster / bib Full-resolution light field deblurring can be divided into | |

Subeesh Vasu , Mahesh Mohan M. R., and A. N. Rajagopalan CVPR, 2018 paper / supplement / poster / bib A method for the scenario of a fast moving camera wherein | |

Mahesh Mohan M. R., A. N. Rajagopalan , and Guna Seetharaman ICCV, 2017 paper / supplement / slides / poster / bib How can we bridge today's ubiquitous | |

Abhijith Punnapurath , Yogesh Balaji , Mahesh Mohan M. R., and A. N. Rajagopalan ECCV, 2016 paper / supplement / poster / bib Deep Learning is used to obtain the attributes of object motion and camera motion, which is then employed for segmenting moving object(s). |

Mahesh Mohan M. R., A. N. Rajagopalan and Raj Kuppa, KLA-Tencor's Neoterix, 2018 (in use at KLA-Tencor) abstract / (rest is proprietary of KLA-T; sorry.) A fully-automatic denoising based on a | |

Mahesh Mohan M. R. and Sheeba V. S., ICACC, 2013 (Oral Presentation) paper / technical report / slides / bib Wavelet thresholding (Visushrink) is extended to Contourlet transform, in order to enhance the performance of bilateral and NLM filtering. |

Pure mathematics is in its way the poetry of logical ideas. When the solution is simpler, God is answering -- Einstein |