Papers: 'LUQ: Layerwise Ultra-Low Bit Quantization for MLLMs' (Under Review), 'Potential Field Based Deep Metric Learning' (CVPR 2025).
Research Experience
Fifth year PhD student, working in the Computer Vision and Robotics Laboratory; Research projects include LUQ: Layerwise Ultra-LLow Bit Quantization for MLLMs and Potential Field Based Deep Metric Learning.
Education
PhD: University of Illinois Urbana-Champaign, Computer Vision and Robotics Laboratory, advised by Prof. Narendra Ahuja; Dual degree (B.Tech + M.Tech): Indian Institute of Technology, Bombay, Electrical Engineering, graduated at the top of his batch and was awarded the Institute Silver medal.
Background
Interested in computer vision, machine learning and their applications. Current research focuses on Large Multimodal Models (LMMs) and their applications in computer vision.