Samarth Mishra

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Samarth Mishra,
PhD Student in Computer Science,
Advisors : Prof. Venkatesh Saligrama & Prof. Kate Saenko
Boston University


Master's Advised by Prof. James M. Rehg Georgia Institute of Technology 2017-2019
Bachelor's Advised by Prof. Suyash P. Awate IIT Bombay 2013-2017


Computer Vision, Machine Learning


  • Stefan Stojanov, Samarth Mishra *, Anh Thai*, Nikhil Dhanda,
    Ahmad Humayun, Linda Smith, Chen Yu, and James M. Rehg.
    Incremental Object Learning from Contiguous Views. [cvf] [project page]
    Oral, Best paper finalist CVPR 2019.

  • K. Chatterjee, B. Kragl, S. Mishra, A. Pavlogiannis.
    Faster Algorithms for Weighted Recursive State Machines.
    ESOP 2017 [arxiv]


  • Samarth Mishra, Kate Saenko, Venkatesh Saligrama.
    Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency [arxiv]

Relevant Coursework

Boston University

  • Towards Universal Natural Language Understanding

Georgia Tech

  • Machine Learning

  • Numerical Linear Algebra

  • Machine Learning Theory

IIT Bombay

  • Advanced Machine Learning (Probabilistic Graphical Models and Deep Learning)

  • Foundations of Intelligent and Learning Agents

  • Algorithms in Medical Image Processing

  • Digital Image Processing


  • Computer Vision

  • Deep Learning

Find me on

Google Scholar

CV Reading Group

Follow this link to find the webpage for the BU computer vision reading group that I help organize.