* LEAST: "Local" text-conditioned image style transfer, CVPR workshop on AI for Content Creation (AI4CC), 2024
* LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-training, British Machine Vision Conference (BMVC), 2023
* FODVid: Flow-guided Object Discovery in Videos, CVPR workshop on Learning with Limited Labelled Data for Image and Video Understanding (L3D-IVU), 2023
- Patents filed:
* Modifying digital images from text via multi-region localized style transfer, Filed: Oct 2024
* Video Object Segmentation using estimated motion information and image features, Filed: Aug 2023
* Personalized form error correction propagation, Filed: Apr 2023
- Academic service: Reviewer/Sub-Reviewer for WACV 2025, CVPRW 2024 (L3D-IVU, AI4CC), CVPR 2024; Teaching Assistant for Linear Algebra and Applications (Spring 2022, IIT Delhi) and Introduction to Computer Science (Fall 2021, IIT Delhi); Institute Academic Mentor, Board for Student Welfare (Fall 2019, IIT Delhi)
Research Experience
- MDSR Lab, Adobe, Research Associate, working on generative models, image editing, self-supervised learning, image and video segmentation, and style transfer
- Adobe Research, worked with Dr. Kuldeep Kulkarni on context-aware object insertion in images
- Max Planck Institute, worked on program synthesis with Prof. Eva Darulova
Education
- Stanford University, Master's, Computer Science
- IIT Delhi, Bachelor's, Mathematics and Computing, Advisor: Prof. Sivananthan Sampath
Background
Research interests: generative models (diffusion models), image editing, self-supervised learning, image and video segmentation, style transfer. Professional field: Computer Vision and Machine Learning.
Miscellany
Personal interests and other information not provided