About Me

Welcome, My name is Youngmin Kim (김영민), Integrated Course student in Yonsei MIR Lab by Youngjae Yu.

I have a great interest in story visualization, text-to-image generation, image captioning, and other computer vision related topics.

If you interested in my research or myself, please contact email.

If you want to know more about me, take a look at my CV.

winston121497(at)gmail.com

[News]

2023.06. Started Integrated Course at MIR Lab, Yonsei University
2023.02. Started new position at MIR Lab, Yonsei University
2023.02. One paper accepted to Sensors
2023.02. Received my bachelor’s degree from Incheon National University.
2022.12. One paper accepted to IEEE BigData Conference 2022 and presented orally in Osaka, Japan
2022.01. Started new position at RAISE Lab, Incheon National University
2021.12. Awarded 1st Prize in the AI-Hub Idea Challenge Competition
2021.10. One paper accepted to KIPS
2021.08. Awarded 2nd Prize in the KED 2021 Industrial Innovation Big Data Platform Competition
2021.06. Awarded Best Paper in KCC 2021
2021.06. Four papers accepted to KCC 2021

Scalp Diagnostic System With Label-Free Segmentation and Training-Free Image Translation

Youngmin Kim*, Saejin Kim*, Hoyeon Moon, Youngjae Yu, Junhyug Noh

Arxiv [Paper]

2023

International Journal
Preprocessing for Keypoint based Sign Language Translation without Glosses

Youngmin Kim and Hyeongboo Baek

Sensors (IF: 3.847) [Paper]

A 2-Stage Model for Vehicle Class and Orientation Detection with Photo-Realistic Image Generation

Youngmin Kim*, Donghwa Kang* and Hyeongboo Baek

IEEE BigData Conference 2022 [Paper]

A Study of Tram-Pedestrian Collision Prediction Method Using YOLOv5 and Motion Vector

Youngmin Kim, Hyeonuk Ahn, Heegyun Jeon, Jinpyung Kim, Gyujin Jang and Hyeonchyeol Hwang

Korea Information Processing Society (KIPS) [Paper]
Optical Flow Estimation Techniques and Recent Research Trends Survey

Youngmin Kim, Hyeonuk Ahn and Jinpyung Kim

Korea Information Processing Society (KIPS) Special Session [Paper]
Pedestrian Accident Prevention Model Using Deep Learning and Optical Flow

Youngmin Kim, Gyujin Jang, Hyunjai Bae, YoungNam Kim and Jinpyung Kim

Korea Computer Congress 2021 [Best Paper] 🥇
Survivor Detection Model using Drones and Deep Learning

Hyunjai Bae, Gyujin Jang, Youngmin Kim, YoungNam Kim and Jinpyung Kim

Korea Computer Congress 2021
Deep Learning based Multiple Damage Type Detection System for Bridge Structures

YoungNam Kim, Hyunjai Bae, Youngmin Kim, Gyujin Jang and Jinpyung Kim

Korea Computer Congress 2021
Stereo Image and Skeleton Information based Inter-Distance Estimation for Social Distancing

Gyujin Jang, Hyunjai Bae, Youngmin Kim, YoungNam Kim and Jinpyung Kim

Korea Computer Congress 2021