Recent Papers
Research Interests
Video Representation Learning: My research uses representation learning approaches to extract robust, high-level representations from video data. Recently, I specialized in leveraging diffusion transformers to learn transferrable representations suitable for transfer learning and downstream video understanding tasks.
Video Editing & Motion Transfer: I work on developing training-free techniques for video manipulation and motion transfer between subjects. This includes designing deep learning models' latent space for video editing, motion retargeting, drastic shape editing and temporal consistency preservation in edited videos.
Fairness: My research also explores fairness and bias mitigation in computer vision systems, particularly in image analysis applications. I focus on developing algorithms and frameworks that ensure equitable performance across different demographic groups while maintaining high accuracy.
Work Experience
Amazon
(May 2024 - August 2024)
Research Intern
RadiusAI Inc.
(October 2022 - February 2023)
Research Engineer
University College London
(June 2022 - October 2022)
Research Intern
University of Edinburgh
(July 2022 - October 2022)
Research Intern
KTH Royal Institute of Technology
(July 2021 - October 2021)
Research Intern