Paper 'From Play to Replay: Composed Video Retrieval for Temporally Fine-Grained Videos' accepted in NeurIPS 2025; paper 'Big-Bench' accepted at TMLR 2023; paper 'Adaptive Fine-Grained Sketch-Based Image Retrieval' accepted at ECCV 2022.
Research Experience
Worked as a Machine Learning Engineer Intern at MVisionAI, contributing to medical image registration; completed research internships at UiT - The Arctic University of Norway, working on coreset-based data selection for efficient model training; and at the SketchX Lab, University of Surrey, contributing to sketch-based visual understanding.
Education
Ph.D. - University of Central Florida, supervised by Dr. Mubarak Shah; Bachelor's degree - Thapar University, India, in Electronics and Computer Science.
Background
Research interests include multimodal learning (images, videos, and 3D data), with a particular focus on retrieval tasks. Emphasis is on integrating vision, language, and 3D data, with a focus on modeling efficiency and fine-grained temporal reasoning.
Miscellany
Contact information includes email, Google Scholar, Twitter, GitHub, and resume/CV.