Jeongsoo Park
jespark at umich dot edu

I am a first-year CSE PhD student at the University of Michigan, advised by Prof. Andrew Owens. I have a general interest in efficient computer vision, image processing, and machine learning.

I graduated with a master's degree in ECE from the University of Michigan, during which I was advised by Prof. Justin Johnson.

I received a BS degree in Electronic and Electrical Engineering from Sungkyunkwan University, where I worked with Prof. Jong Hwan Ko.

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I have been working on designing efficient computer vision system. My recent work, RGB no more, focuses on training Vision Transformers directly from the encoded features of a JPEG image to accelerate the entire pipeline. In my previous work, Auto-Tiler, I aim to design an efficient compression scheme for over-the-network model inference.

We train ViTs directly from JPEG encoded features and accelerate train and eval by up to 39.2% and 17.9%.

We use autoencoders and show up to 67% higher accuracy and 81% reduced latency during network-constrained inference versus the image or video codec-based compression.

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