Chaelin Kim

Chaelin Kim


Contact:

Email: ckim13@tulane.edu
Office: 309 Paul Hall,
Tulane University, New Orleans, LA, US



Links:


Hello, my name is Chae-Lin Kim. I am currently pursuing a Ph.D. in Computer Science at Tulane University advised by Prof. Saad Hassan, where I focus on AI-based assistive technology. My research interests include deep learning networks, particularly in the field of Human-Computer Interaction (HCI) and computer vision. I am passionate about developing technologies that enhance the quality of life.

I received both BS and MS in IT Engineering from Sookmyung Women's University.

Recent News

  • May 2023. Chae-Lin Kim, Byung-Gyu Kim∗, Few-shot Learning on Facial Expression Recognition: A Comprehensive Survey, Journal of Real-Time Image Processing (Springer Nature)



International Journal

Few-shot Learning on Facial Expression Recognition: A Comprehensive Survey
Chae Lin Kim, Byung-Gyu Kim*
Journal of Real-Time Image Processing (Springer Nature), vol. 20:52 (Article number: 52), pp. 1-18, May 06, 2023

International Conference

Channel Selective Relation Network for Efficient Few-shot Facial Expression Recognition
Chae-Lin Kim, Ga-Eun Lee, Jiwoo Kang, Byung-Gyu Kim*
IEEE International Conference on Consumer Electronics (ICCE) 2024
Recent Trend for Monocular Depth Estimation Based on Deep Learning
Ye-Ji Kim, Chae-Lin Kim, Han-Lim Lee and Byung-Gyu Kim*
International Conference on Multimedia Information Technology and Applications (MITA), July 2022.

Korean Conference

Integrated System for Facial Alignment and Lip Generation
Han-Lim Lee, Chae-Lin Kim, Byung-Gyu Kim*, and Gwang-Ho Kim
KMMS Spring Conference (KMMS), vol. 26, no. 1, pp. 77-78, May. 2023.
A Study of the Fault Detection Technique for the Bamboo Toothbrush Manufacturing Automation
Chae-Lin Kim, Young-Ju Choi, Byung-Gyu Kim*, Eun-Ha Park, and Kyung-Tae Lee
KMMS Spring Conference (KMMS), vol. 24, no. 2, pp. 14-17, Nov. 2021.
Development of Real-time Dangerous Situation Detection Algorithm Based on Object Detection and Depth Information Fusion
Chae-Lin Kim, Jeong-Bin Seo, and Byung-Gyu Kim*
KMMS Spring Conference (KMMS), vol. 24, no. 1, pp. 565-567, April. 2021.

Projects

Development of deep Learning based vision inspection system for bamboo toothbrush
Funding: Ministry of SMEs and Startups, Rep. of Korea
Developments on Context Information Analysis Based Matching Technologies for Expanding the Market of Online Publications
Funding: Ministry of Culture, Sports and Tourism (MCST) and from Korea Copyright Commission, Rep. of Korea
Development of real-time intelligent object detection technology for drone-captured image
Funding: Ministry of Science and ICT, Rep. of Korea (NRF)
Evaluation of Speech Recognition on Foreign Language Education Services in Online Video Platform Environment
Funding: Ministry of SMEs and Startups, Rep. of Korea