I’m a third-year Electronics and Computer Engineering undergraduate student at Thapar University, Patiala, India. My research focus is broadly centered around Computer Vision and Deep Learning. I work on research projects dealing with Generative Adversarial Networks, Knowledge Distillation, and zero-shot classificatiom. I intend to explore deep model under low-resource training data scenario using semi-supervised and self-supervised paradigm.
I have worked as a Research Intern at SketchX and Inception Institute of Artificial Intelligence. I have also worked as a part-time Research Engineer at a startup Minus Zero where I worked on an autonomous electric car with level 5 autonomy.
[June 2021]Got selected for Weights & Biases Machine Learning Reproducibility Challenge, Spring 2021 Grant.
[June 2021]Got selected for Prairie/MIAI Summer School 2021, INRIA.
[May 2021]Volunteered for the ICLR Conference 2021.
[June 2020]Got selected for Gaussian Process Summer School 2020, Sheffield University.
[September 2020]Won Bronze Metal for Kaggle Notebook in I’m Something of a Painter Myself challenge.
[July 2020]Top 42% Worldwide in Google Landmark Recognition 2020.
Bachelor's in Electronics and Computer Engineering, 2023
Created a solution for training a model without any dataset with a minimal difference in accuracy of 3%, as compared with a model trained using the dataset.”. Responsibilities include:
Worked on reimplementing and verifying the claims made in the ECCV 2020 paper titled “Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification”. Responsibilities include:
Worked on scene text detection problem with state of the art model. Responsibilities include:
Developed a GAN that generates 7,000 to 10,000 Monet-style images.
Developed a classification model for predicting seven emotions like (angry, disgusted,fearful, happy, neutral, sad and surprised) using FER-2013 dataset.