
News
- [Feb 25] Promoted to RE III at Avataar
- [Jun 24] Attended CVPR in Seattle.
- [Feb 24] Our work on Domain Adaptation using videos got accepted at TMLR.
- [Oct 23] M3L accepted at WACV 2024.
- [Jul 23] Started as a Research Engineer II at Avataar.ai
- [Jun 23] Moved back to India! Read more here.
Bio
I am a Research Engineer at Avataar.ai where I work on generative AI and 3D with Dr. Sohil Shah and Dr. Shubham Goel. I did my MS from the department of Computer Science at Georgia Institute of Technology, advised by Prof. Zsolt Kira and Prof. Devi Parikh. Before that I was a Data Scientist at Flipkart in the Recommendations team supervised by Dr. Aditya Rachakonda, Dr. Arnab Bhattacharya and previously by Samik Datta. Prior to joining Flipkart, I completed my undergrad at IIT Delhi advised by Dr. Prathosh AP.
Broadly my interest lies in Computer Vision, Vision + Text, Creative AI. I strongly believe that technology benefits human society and has a lot of potential to improve human lives.
For about an year, I also volunteered my extra time with DSIndiaVsCovid mentored by Dr. Srujana Merugu, Dr. Mohit Kumar and Dr. Alpan Raval in collaboration with Wadhwani AI to help government agencies in India in their covid response.
My CV is available here.
Publications and Preprints
* Equal contribution
Missing Modality Robustness in Multi-Modal Semi-Supervised Semantic Segmentation
WACV'24
Project Page
arXiv
Code
Performance degradation of ImageNet trained models by simple image transformations
Recommendation of Compatible Outfits Conditioned on Style
ECIR'22 (oral)
CODS-COMAD 2022 Demo track
Project Page
ECIR Paper
arXiv
CODS-COMAD Demo Paper
CoSIR: Optimal control of SIR epidemic dynamics by mapping to Lotka-Volterra System
ICLR'21 MLPCP Workshop, CHIL'21 Workshop
Paper
Code
Demo
Poster
A Flexible Data- Driven Framework for COVID-19 Case Forecasting Deployed in a Developing- world Public Health Setting
AI for Social Impact book
Paper
Complete Book
Adaptive COVID-19 Forecasting via Bayesian Optimization
Audience Creation for Consumables - Simple and Scalable Precision Merchandising for a Growing Marketplace
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