I am a graduate student in Computer Science at Stanford University.
Previously, I was a Pre-Doctoral Researcher at Google Research India, where I worked primarily on unsupervised domain adaptation. In August 2021, I graduated from the Indian Institute of Technology Bombay (IIT Bombay) with a B.Tech. in Computer Science and Engineering and a Minor in Statistics. I received the Research Excellence Award for my B.Tech. thesis on Deep Learning for Medical Image Enhancement under the guidance of Prof. Suyash P. Awate. In the summer of 2020, I interned at Google Research India and worked on form structure recognition. In winter 2019, I interned at Aarhus University, Denmark and worked with Prof. Panagiotis Karras on devising a model for content-aware influence maximization in social networks. In the summer of 2019, I interned at the National University of Singapore, where I worked on utilizing user input effectively for interactive image segmentation with Prof. Angela Yao.
My research interests lie in Computer Vision and Machine Learning.
Started as a Course Assistant for the Computer Vision foundations course (CS 131
) at Stanford
Our paper on "Semi-Supervised Deep Expectation-Maximization for Low-Dose PET-CT" has been accepted for Oral Presentation at IEEE ISBI 2022
Our new preprint on "SITA: Single Image Test-time Adaptation" is available on arxiv
Our new preprint on "Unsupervised Adaptation of Semantic Segmentation Models without Source Data" is available on arxiv
Received the Research Excellence Award for my Bachelor Thesis
Graduated from IIT Bombay with B.Tech. in Computer Science and Engineering, securing a GPA of 9.75/10
Joined Google Research in Bangalore, India as a Pre-Doctoral Researcher
Received the Institute Academic Prize at IIT Bombay
Started internship at Google Research India
Started internship at Aarhus University, Denmark with Prof. Panagiotis Karras
Our team secured 2nd position in the Ubisoft GameJam 48 hours hackathon. Check out our game here
Started internship at National University of Singapore with Prof. Angela Yao