Greetings

I'm a 4th-year Ph.D. candidate in Computer Science at the University of Toronto, working with Prof. Khai Truong in the DGP lab.

My research lies at the intersection of human–AI interaction, accessibility, and creativity support, with a special focus on improving music accessibility for d/Deaf and hard-of-hearing (DHH) individuals. My projects include song signing (CHI ’23) to explore how music is experienced and expressed within Deaf culture, and ELMI (CHI ’25), an LLM-supported English lyrics to ASL gloss translation system.

I completed my B.Sc. in Computer Science and Engineering at Ewha Womans University, where I was advised by Prof. Uran Oh (Human-Computer Interaction Lab) and Prof. Hyokyung Bahn (Distributed Computing and Operating Systems Lab).

Additionally, I worked as a research intern at Samsung AI Center Toronto, where I was mentored by Iqbal Mohomed, and at NAVER AI LAB under the supervision of Young-Ho Kim. Most recently, I interned at Adobe Research in the STORIE Lab, supervised by Anh Truong and Justin Salamon .

💼 I am currently exploring academic (Assistant Professor) and industry (Research Scientist) positions starting in Summer/Fall 2026.

Google Scholar | LinkedIn | suhyeon.yoo[at]mail.utoronto.ca

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Open SW project (Computer Vision): Automatic document scanner (Spring, 2019)

Class: Open SW project
Date: Spring 2019
Professor: Dongbo Min
Main Idea: Automatic document scanning
Methods: Canny edge Detector + Hough Transformation + Find Contour + Convex Hull
Results: 


Automatic document scanning

Suhyeon Yoo

Junior of Ewha Computer Engineering

ysh9473@naver.com

 


Abstract

This final project solves projective distortions: 1) general (easy) case, 2) case where height < width, 3) case where some corners are missing, 4) case where there exist background clutters, 5) case where documents are partially occluded. 6) case with severe perspective distortion. The main function used is Canny edge Detector + Hough Transformation + Find Contour + Convex Hull. Hough transformation with Convex hull process solves key problems about filling the missing edge in the result of Canny edge detection.


1.   Introduction

The given final project goal was to correct projective distortions when capturing an image. The ideal goal is to make an Android app like Adobe Scanner that right after people take pictures using smartphone, It automatically changes to pdf. However, this process was too complex since it needs knowledge of Android and Java programming and UI development. Therefore, we assumed that taking pictures, distortion correction, and converting pdf is all done in the PC.


                














































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