Munender Varshney
emailumc.dhkt@pdasa.uec unscramble

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I am a 5th year PhD scholar at Computer Science and Engineering Department, Indian Institute of Technology Kanpur. I have Experience in Computer Vision, Deep Learning, Machine Learning, Active Learning and Data Mining. Currently, I am working on understanding of multi-modal data using efficient deep learning modal with focus on utilizing a subset of labeled data or the labels implicit to the data i.e., active learning, selfsupervision and weak supervision.

Previously, I had Completed my M.S.(By Research) from School of computing and electrical engineering, Indian Institute of Technology Mandi under the supervision of Prof. Renu M. Rameshan, where I have worked on Independent Subspace Analysis for Activity Recognition and Fine-grained Classification. Before that, I had completed my Bachelors in Computer Science and Engineering from Maharaja Agrasen Institute of Technology, affilated to Guru Gobind Singh Indraprastha University, Delhi. I am greatful for getting the self learning opportunity at all these nice places with wonderful colleagues, friends and juniors. I am thankful to Dr. Renu Rameshan for showing me the way to do good research in my intial journey and her course on "mathematical methods for signal processing" ignit my curosity for mathematical understanding for Machine Learning and Deep Learning domains, although I am still trying to learn.

Signal, Image and Video processing 2021

Optimizing nonlinear activation function for convolutional neural networks

CVPRW June 2020

Minimizing Supervision in Multi-label Categorization

WACV 2020

Cooperative Initialization based Deep Neural Network Training

SPCOM 2016

Accelerated learning of discriminative spatio-temporal features for action recognition

  Awards and Achievements
  • Among top performers, in Summer schools in Machine learning and Computer Vision, IIIT Hyderabad, India (2018)
  • Visvesvaraya PhD fellowship, DeitY, Ministry of Communications and Information Technology, Government of India (2017)
  • Best Teaching Assistant award , for outstanding performance in Computation for Engineers Lab, IIT Mandi (2016)
  • All India Rank - 389, percentile 99.83 , GATE (Computer Science), conducted by IIT Bombay (2013)
  • All India Rank - 72 , JEST conducted by IMSc Chennai, India in Theoretical Computer Science (2013)

Updated: January 2021