About Me
I am a second-year PhD student at the School of Informatics, University of Edinburgh, where I am supervised by Prof. Timothy Hospedales and Dr. Da Li. My research interests are mainly centered around computer vision and machine learning spanning multi-task learning, meta learning, self-supervised learning, and domain adaptation.
I completed my bachelor’s degree in Engineering Physics at Indian Institute of Technology where I was advised by Prof. Biplab Banerjee and Prof. Subhasis Chaudhuri. I was also a summer intern at Sony Corporation, Tokyo where I worked on real-time image compression using deep learning techniques.
Apart from academics, I enjoy yoga, running, weight-lifting, or reading novels in my leisure time.
Please have a look at my CV for more details on my academic front. I maintain a list of my publications and research under the Publications tab.
Updates
| Jan 2023: | Paper on amortising invariances for contrastive learning accepted in ICLR 2023! |
| May 2022: | HyperInvariances - accepted in ICML Workshop on Spurious Correlations, Invariance, and Stability! |
| Nov 2021: | Paper on Zero-shot compositional learning accepted in Pattern Recognition Letters |
| Nov 2021: | Paper on Zero-shot SBIR accepted in Neurocomputing |
| June 2021: | Incoming PhD student at the University of Edinburgh. So excited to explore Scotland! |
| May 2021: | Delivered a talk on Salient Developments in Video Captioning at the Visual AI Lab , Oxford Brookes University . Slides can be found here. |
| May 2021: | I recieved multiple offers from the University of Bristol, John Hopkins University, University of Maryland, Durham Univeristy, Univeristy of Tubingen, Saarland University, University of Trento, and University of Edinburgh. I feel blessed to be accepted in these amazing programs! |
| May 2021: | Graduated from the Indian Institute of Technology, Bombay with a bachelor's degree in Engineering Physics |
| May 2021: | Finally submitted my bachelor's thesis on Zero-shot Sketch-based Image Retrieval and Multi-modal learning. |
| Jan 2021: | Presented our paper ADA-AT/DT: An Adversarial Approach for Cross-Domain and Cross-Task Knowledge Transfer at the Winter Conference on Applications in Computer Vision (WACV) 2021 |
| Jan 2021: | Presented our paper A Novel Actor Dual-Critic Model for Remote Sensing Image Captioning at the Internation Conference on Pattern Recognition (ICPR) 2021 |
| Aug 2020: | Completed my remote internship at the Tokyo Laboratories, Sony Corporation working on Deep Learning Techniques for Image Compression. Please have a look at my final presentation . |
| Dec 2019: | Attended the National conference on Computer Vision Pattern Recognition, Image Processing and Graphics 2019, Hubli, Karnataka. It was a really great experience! |
| June 2019: | I received an AP grade for the course "Machine Learning for Remote sensing - II", for being in top 1%. |
| April 2019: | Gave a talk on the topic Generative Adversarial Networks on Image Style Transfer under Reflections, Web and Coding Club, IIT Bombay |
| May 2018: | Awarded the Technical Freshman of the Year in IIT Bombay! |