Kiyoon Kim

Postgraduate student at The University of Edinburgh, PhD in Informatics
Former Machine Learning Researcher at EgoVid Inc.
Former Signal Processing Research Intern at AiS Lab.

Find Out More

I've got skills!

I started computer programming when I was 9. I began MFC(C++) Windows programming at age 14 and opened a personal website, "". I made a Hair Proportion Analysis algorithm and obtained a patent when I was 17. Now my interests are in machine learning application on computer vision and image signal processing.

"Kiyoon" stands for glowing field. I want to make my field of study glow in the future.

Cirriculum Vitae

History of My Life

  • 2004 (9 years old)

    First Programming

    I started computer programming with Flash ActionScript 2.0.

  • 2010 (15 years old)

    MFC Windows Programming

    I started MFC Windows Programming and opened my own website, I released many Windows programs on this website.

  • I finished a project about Hair Proportion Analysis algorithm based on the Maximum Likelihood estimation.

  • 2014-2018 (18-22 years old)

    Studied at UNIST, won many contests!

    I studied both Electronics and Computer Engineering. I won lots of competitions like Hexathon (supported by Naver), Korea Supercomputing Challenge, and Naver Poster Award. See experience below.

  • 2016-2018 (20-22 years old)

    Started working as a researcher at UNIST, EgoVid Inc.

    We've visited UC Berkeley for 9 weeks to exchange ideas about making a start-up company. (Article)
    Extreme Low Resolution Activity Recognition Using Siamese Embedding (Paper)
    We've demonstrated our technologies at CVPR 2017 Expo. (Youtube video)

  • 2018- (22- years old)

    Studied MSc in Artificial Intelligence at The University of Edinburgh

    Studies PhD in Informatics at The University of Edinburgh

  • There will
    be more

Skills and Knowledge:

Deep learning, Computer vision, Signal processing, Linux server buildup, Web development, Machine integration, Video editing and filmography, Product design

Languages, Frameworks and Tools:

C ∙ C++ ∙ Python ∙ Linux Bash ∙ TensorFlow / Keras (Machine learning) ∙ MPI (Parallel programming) ∙ CUDA (GPU parallel programming) ∙ MATLAB ∙ OpenCV ∙ Git (Version control) ∙ Docker ∙ NVIDIA Jetson TX2 (Linux embedded device) ∙ Raspberry Pi (IoT Linux) ∙ MFC (Windows programming) ∙ Java ∙ HTML ∙ PHP ∙ MySQL / Maria DB ∙ R ∙ Flash action script ∙ Processing ∙ NXT Robot C ∙ Xpress Engine(Website) ∙ Wordpress(Website) ∙ LATEX

Publications, Experience and Achievements:

K Kim, D Moltisanti, O Mac Aodha, L Sevilla-Lara, “An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition”, 33rd British Machine Vision Conference 2022, BMVC 2022

K Kim, SN Gowda, O Mac Aodha, L Sevilla-Lara, “Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition”, 33rd British Machine Vision Conference 2022, BMVC 2022

SN Gowda, L Sevilla-Lara, K Kim, F Keller, M Rohrbach, “A new split for evaluating true zero-shot action recognition”, DAGM German Conference on Pattern Recognition, 2021

M. S. Ryoo, K. Kim and H. J. Yang, ”Extreme Low Resolution Activity Recognition with Multi-Siamese Embedding Learning, ”AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, February 2018. [acceptance rate: 24.6%]

1st place - Naver UNIST Undergraduate Poster Award
1st place - HeXATHON, UNIST, supported by NAVER
KSC (Korea Supercomputing Challenge) : MPI parallel computing 5th place
Bronze Medal in the National Olympiad for Informatics (KOI, Korea Olympiad in Informatics)
Patent : Hair Percentage Analysis algorithm
UNIST Startup clinic: Smart home app controlling electrical output

Let's Get In Touch!

You're welcome to give me a call or an email and I will get back to you as soon as possible!

Other Links

YouTube Music Cover