Deukryeol Yoon (윤득렬)

AI Researcher

About Me

I am an AI Researcher in ADD. I received my M.S. in Artificial Intelligence from the KAIST Graduate School of AI, where I was advised by Prof. Kijung Shin. I earned my B.S. in Computer Science and Engineering from POSTECH. My research spans a broad range of AI applications, including data mining and computer vision for applied systems. Currently, I am working on object detection for aerial platforms.

Contact Details

Email: deukryeol.yoon (at) gmail.com
Web: https://deukryeol-yoon.github.io

News

[2025-11] One paper accepted to WACV 2026.

Education

Korea Advanced Institute of Science and Technology

M.S. in Graduate School of AI •Feb. 2023

Pohang University of Science and Technology

B.S. in Computer Science and Engineering•Feb. 2017

Positions

ADD

AI Researcher• Apr. 2023 - Present

Research Officers for National Defense (ROK Army) • Jun. 2017 - May. 2020

KAIST

Research Intern • Oct. 2020 - Feb. 2021

Teaching

Machine Learning with Graphs, Boostcamp AI Tech

Teaching Assistant • [ 2021 ]

Programming and Problem Solving for high school students, POSTECH

Teaching Assistant • [ 2014, 2015, 2016 ]

Publications

[C4]
Meta-YOLO: Metadata-Guided Real-Time Object Detector in Aerial Imagery

Deukryeol Yoon, Seonghak Kim, Younghwa Sung, and Jinho Jung
WACV 2026 [ paper | slides | poster | code and datsets | bib ]

[W2]
Graphlets Over Time: A New Lens for Temporal Network Analysis

Deukryeol Yoon, Dongjin Lee, Minyoung Choe, and Kijung Shin
MLH Workshop 2024 [ paper | slides | code | bib ]

[W1]
Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition

Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, and Se-Young Yun
NeurIPS Workshop: Weather4Cast Competition 2022 [ paper | slides | code | bib ]

[C3]
Improvement of Moving Object Detection Accuracy on Aerial Imagery using Sensor Geometry

Deukryeol Yoon, Wonyoung Heo, Seongjo Kim, Hyunseong Sung, and Jongmin Jeong
SPIE Defense + Commercial Sensing 2019 [ paper and slides | code | bib ]

[C2]
Height-Adaptive Vehicle Detection in Aerial Imagery Using Metadata of EO Sensor

Seongjo Kim, Wonyoung Heo, Hyunseong Sung, Deukryeol Yoon, and Jongmin Jeong
SPIE Defense + Commercial Sensing 2019 [ paper and slides | code | bib ]

[C1]
Deep Learning Based Moving Object Detection for Oblique Images Without Future Frames

Wonyoung Heo, Seongjo Kim, Deukryeol Yoon, Jongmin Jeong and Hyunseong Sung
SPIE Defense + Commercial Sensing 2019 [ paper and slides | code | bib ]