About me

I am a third year PhD student in the Department of Computer Science at University of Maryland, College Park. I am advised by Prof. Rama Chellappa. My research interests are in the areas of Machine Learning and Computer Vision. More specifically, my research focusses on domain adaptation, generative models and adversarial perturbations.

Previously, I obtained a Bachelor's degree (B.Tech), with a major in Electrical Engineering and a minor in Operations Research from Indian Institute of Technology, Madras.



  • Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs
    Yogesh Balaji , Hamed Hassani, Rama Chellappa and Soheil Feizi, Under review New!

  • MetaReg: Towards Domain Generalization using Meta-Regularization
    Yogesh Balaji , Swami Sankaranarayanan and Rama Chellappa, Accepted in NIPS 2018 New!

  • Generate To Adapt: Unsupervised Domain Adaptation using Generative Adversarial Networks
    Swami Sankaranarayanan *, Yogesh Balaji *, Carlos D. Castillo and Rama Chellappa, CVPR 2018 ( Spotlight)

  • Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
    Swami Sankaranarayanan *, Yogesh Balaji *, Arpit Jain, Ser Nam Lim and Rama Chellappa, CVPR 2018 ( Spotlight )

  • Unrolling the Shutter: CNN to Correct Motion Distortions
    Vijay Rengarajan, Yogesh Balaji , and A.N. Rajagopalan, CVPR 2017 ( Oral paper )

  • Deep Decoupling of Defocus and Motion Blur for Dynamic Segmentation
    Abhijith Punnappurath, Yogesh Balaji , Mahesh Mohan, and A. N. Rajagopalan, ECCV 2016

    * Equal contribution

    Technical Reports

  • Deep Learning for estimating distortions in images
    B.Tech thesis, Indian Institute of Technology Madras, 2016


  • NEC Laboratories America, Princeton NJ

    Topic: Generative models for sequential data
    I spent the summer of 2018 at NEC Labs where I worked on designing text conditioned video generation models using Generative Adversarial Networks

  • Qualcomm Research and Development, San Diego

    Topic: Randomized Algorithms for Wireless Systems
    I spent the summer of 2015 at Qualcomm Research, San Diego. Here, I worked with Wireless Systems group on developing MAC layer protocols that would enable fair coexistence between WiFi and LTE-U (LTE in unlicensed spectrum)


email :   yogesh'at'cs.umd.edu

Address :   Room 4436, A.V. Williams Building,
                      University of Maryland,
                      College Park, MD 20742