cv

Education

  • 2020 -
    PhD
    Image Analysis and Computer Vision Lab, IISc, Bangalore
  • 2013 - 2017
    B.Tech
    EEE, NITK Surathkal

Research Interests

  • Unsupervised Domain Adaptation
    • Designing methods to learn using labeled source along with unlabeled target domain data to obtain robust representations generalizing across domains.
  • Cross-Domain Few Shot Learning
    • Designing effective methods capable of adapting a base model to an unseen task from an unseen domain given limited training samples.
  • Source-Free Domain Adaptation
    • The objective is to adapt a model trained on a source domain to a target domain using only unlabelled samples.
  • Test-Time Adaptation
    • The goal is to adapt a source trained model to a test domain in an online manner. The test domains can be continuously changing as well.

Work Experience

  • 2017 - 2020
    Software Engineer
    PathPartner Technology, Bangalore
    • Worked on CNN based Face Detection for Driver Monitoring System.
    • Porting Deep Convolutional Models to edge devices.
    • Developed SIMD vectorized algorithms to support TensorFlow APIs for Cadence Vision DSPs.
  • 2016
    Intern
    Wipro Technologies, Bangalore
    • Worked on Pedestrian Detection module as a part of “Wipro Autonomous Vehicle” team, using HOG feature extractor and SVM as classifier.

Honors and Awards

  • 2022
    • Recipient of the Prime Minister’s Research Fellowship (PMRF).
  • 2013
    • Secured a state rank of 254 in Joint Entrance Exam (JEE) Main.
    • Secured a rank of 172 in Karnataka Common Entrance Test (KCET).