Yoojin Hong
Position: Ph.D. Candidate
E-mail: yoojinhong@gm.gist.ac.kr
Office: EECS-C3-305 (+82-62-715-3167)
Site: -
๐ Education / Experience
M.S, Electrical Engineering and Computer Science, GIST, Gwangju, South Korea, 2018
B.S, Computer Science, Sookmyung University, Seoul, Korea, 2016
๐จโ๐ป Research Interests
Computer Vision
Re-Identification
๐ Publications / Patents
International Publications
Juhyun Lee, Yoojin Hong, Younkwan Lee, Hyun Soo Kim, Chul Han Song, Du Yong Kim and Moongu Jeon, "Empirical Analysis of Tree-Based Models for PM2.5 Concentration Prediction", IEEE International Conference on Signal Processing and Communication Systems(ICSPCS), Gold Coast, Australia, Dec. 16-18, 2019
Younkwan Lee, Juhyun Lee, Yoojin Hong, YeongMin Ko and Moongu Jeon, "Unconstrained Road Marking Recognition with Generative Adversarial Networks", IEEE Intelligent Vehicles Symposium (IV), Paris, France, June 9-12, 2019.
Younkwan Lee, Jiwon Jun, Yoojin Hong and Moongu Jeon, "Practical License Plate Detection in Unconstrained Surveillance Systems with Adversarial Super-Resolution", VISAPP 2019, Feb. 25-27, Prague, Czech Republic (Oral Presentation)
Younkwan Lee, JaeWoong Yun, Yoojin Hong, Juhyun Lee and Moongu Jeon, "Accurate License Plate Recognition and Super-Resolution using a Generative Adversarial Networks on Traffic Surveillance Video ",The International Conference on Consumer Electronics(ICCE)-Asia2018
Sejeong Lee, Yoojin Hong and Moongu Jeon "Occlusion detector using convolutional neural network for person re-identification ", International Conference on Control, Automation and Information Sciences (ICCAIS 2017) October 31-November 3, 2017
Domestic (Korean) Publications
์ก์๋ฏผ, ์ฅ์ฉ์ค, ์ํธ์ฐ, ํ์ ์ง, ํ๋์, ์ ๋ฌธ๊ตฌ. "์ค์๊ฐ ์์์ฅ ์ด์ ์ํฉ ์ธ์ ์์คํ ๊ฐ๋ฐ์ ์ํ ๋ค์ค ๊ฐ์ฒด ๊ฒ์ถ, ์ถ์ , ๋ฐ ํ๋ ์ธ์ ๊ธฐ์ ์ ์์ฉ", ํ๊ตญ์ํํธ์จ์ด์ข ํฉํ์ ๋ํ Korea Software Congress 2020.
์ด์ฃผํ, ์ด์ค๊ด, ํ์ ์ง, ์ ๋ฌธ๊ตฌ, "PM10 ๋๋ ์์ธก์ ์ํ ๋จธ์ ๋ฌ๋ ๊ธฐ๋ฐ ๊ฒฐ์ธก์น ์ฒ๋ฆฌ์ ์ค์ฆ์ ๋ถ์ ", ๋ํ์ ์๊ณตํํ ํ๊ณ์ข ํฉํ์ ๋ํ, Jun 26 - 28, 2019
์ด์ค๊ด, ํ์ ์ง, ์ค์ฌ์ , ์ ๋ฌธ๊ตฌ, "๋น์ ํํ๋ ํ๊ฒฝ์์ ์ฐจ๋ ๋ฒํธํ ๊ฒ์ถ์ ์ํ CNN ๊ธฐ๋ฐ์ ๋จ์ผ ํ์ดํ๋ผ์ธ ๊ฒ์ถ ๋ฐฉ๋ฒ",ํ๊ตญ์ ๋ณด๊ณผํํ KSC, 910-912, 2017 (Outstanding Paper Awarded)