About Me

A computer whisperer who loves communicating with people as much as machines. My research is focused towards deep learning for computer vision and I have a keen interest in application of everyday research to real world scenarios. My prior experience is spread across various problem domains such as face recognition, object recognition and detection, metric learning, scaling and optimizing pre-existing code. Apart from research I love designing user facing products and share an enthusiasm for managing painless project deliveries, if such a world exists :).

You do not need to know everything, everything you need to know you will figure it out when you need to know it.

Publications     Complete list @

  • Reducing Network Agnostophobia

    Neural Information Processing Systems (NeurIPS) 2018 - Spotlight Presentation
    Akshay Raj Dhamija, Manuel Günther, Terrance E. Boult

  • The overlooked elephant of object detection: Open set

    Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. 2020
    Akshay Raj Dhamija, Manuel Günther, Jonathan Ventura, Terrance E. Boult

  • Improving Deep Network Robustness to Unknown Inputs with Objectosphere

    CVPR Workshops, Uncertainty and Robustness in Deep Visual Learning 2019
    Akshay Raj Dhamija, Manuel Günther, Terrance E. Boult

  • Unconstrained Face Detection & OpenSet Recognition Challenge

    IEEE International Joint Conference on Biometrics (IJCB), 2017
    M Günther, P Hu, C Herrmann, CH Chan, M Jiang, S Yang, AR Dhamija, D Ramanan, J Beyerer, J Kittler, MA Jazaery, MI Nouyed, G Guo, C Stankiewicz, TE Boult

  • Watchlist Adaptation: Protecting the Innocent

    International Conference of the Biometrics Special Interest Group (BIOSIG), 2020
    Manuel Günther, Akshay Raj Dhamija, Terrance E Boult

  • What's Hiding in my Deep Features?

    Book Chapter, Deep Learning in Biometrics, 2018
    Ethan M Rudd, Manuel Günther, Akshay R Dhamija , Faris A Kateb, Terrance E Boult

Work Experience

Project Portfolio

Feature Server

A flask server used to amortize feature extraction cost to help run ablation studies using features from any pre-trained network.

Various Algorithms & Software Tools (VAST)

Initiated by me to address our labs troubles with reproducibility, redudandant code, continued support and collaboration. Currently used in majority of our projects and those of our collaborators.

GRE : App

Born out of my troubles with reading comprehension and designed to help users study on the go. Last checked 5K+ installs spread across 20+ countries.

VR Website with AFrame

Curiosity to develop VR content and learning A-Frame


  • PhD - Computer Science
    University of Colorado at Colorado Springs
    2018 - 2022 (Expected)
  • Master of Science - Computer Science
    University of Colorado at Colorado Springs
    2015 - 2017

  • Master of Business Administration - Software Enterprise Management
    Guru Gobind Singh Indraprastha University, New Delhi
    2010 - 2012

  • Bachelor of Technology - Biomedical Engineering
    Rajasthan Technical University, Kota, Rajasthan
    2006 - 2010

A few accomplishments