Kyujin Shim (심규진)
Tel: +82-10-7515-2540
E-Mail: kjshim1028 @ (kaist.ac.kr, gmail.com)
Tel: +82-10-7515-2540
E-Mail: kjshim1028 @ (kaist.ac.kr, gmail.com)
2013.03 ~ 2017.02 B.S. (Electrical Engineering, Korea Advanced Institute of Science Technology)
2017.03 ~ 2025.02 Combined M.S. & Ph.D. (Electrical Engineering, Korea Advanced Institute of Science Technology
2025.03 ~ Present Staff Engineer (Samsung Research)
International Conference
J. Byun, Kyujin Shim, H. Go, and C. Kim, "Hidden Conditional Adversarial Attacks," IEEE International Conference on Image Processing (ICIP), Oct. 2022. [paper]
K. Yun, Kyujin Shim, K. Ko, and C. Kim, "Dynamic Template Update for Visual Object Tracking," IEEE International Conference on Image Processing (ICIP), Oct. 2022. [paper]
S. Jung, J. Byun, Kyujin Shim, and C. Kim, "Understanding VQA for Negative Answers Through Visual and Linguistic Inference," IEEE International Conference on Image Processing (ICIP), Sep. 2021. [paper]
S. Yoon, Kyujin Shim, K. Park, and C. Kim, “Weakly-Supervised Multiple Object Tracking via a Masked Center Point Warping Loss,” IEEE International Conference on Image Processing (ICIP), Sep. 2021. [paper]
Kyujin Shim, J. Byun, and C. Kim, "Multi-Step Quantization of a Multi-Scale Network for Crowd Counting," IEEE International Conference on Image Processing (ICIP), Oct. 2020. [paper]
International Journal
J. Hwang, Kyujin Shim, K. Ko, N. Ha, and C. Kim. "Robust Multi-Object Tracking with Local Appearance and Stable Motion Models," IEEE Access, vol. 11, pp. 77023-77033, Jul. 2023. [paper]
Domestic Conference
Kyujin Shim, K. Ko, J. Hwang, and C. Kim, "Pseudo-depth-Based Apperance Feature Vector Update Algorithm for Multi-object Tracking," The IEIE Fall Conference, Nov. 2023. [paper]
K. Ko, H. Kim, Kyujin Shim, J. Hwang, and C. Kim, "Feature and Query Mix for Multi-Object Tracking Transformer," The IEIE Fall Conference, Nov. 2023. [paper]
J. Hwang, K. Yun, K. Ko, Kyujin Shim, S. Cho, and C. Kim, "Multi-Target Multi-Camera Vehicle Tracking System for City-Scale Traffic Management," The IEIE Summer Conference, Jun. 2022. [paper]
K. Ko, Y. Park, Y. Kim, H. Kim, Kyujin Shim, and C. Kim, "Improving Self-Supervised Contrastive Learning Using the Distancing Loss Function," The IEIE Summer Conference, Jun. 2022. [paper]
K. Ko, Kyujin Shim, J. Byun, and C. Kim, "Performance Improvement of Convolutional Neural Network by Diversifying Kernel Weights," The IEIE Fall Conference, Nov. 2021. [paper]
S. Yoon, Kyujin Shim, and C. Kim, "Domain Generalization via Class Balanced Probability Learning," The Korean Society Of Broad Engineers Fall Conference, Nov. 2020 [paper]
Kyujin Shim, J. Byun, and C. Kim, "Multi-step Quantization Training for Crowd Counting," The IEIE Fall Conference, Nov. 2019. [paper]
J. Byun, Kyujin Shim, and C. Kim, "Improving Image Recognition of CNNs Through Partial Screen Blending of Images," The IEIE Fall Conference, Nov. 2019. [paper]
Domestic Journal
Kyujin Shim, K. Ko, S. Yoon, N. Ha, M. Lee, H. Jang, K. Kwon, E. Kim, and C. Kim, "A Deep Learning-Based Real-Time Deblurring Algorithm on HD Resolution," Journal of Broadcast Engineering, vol. 27, no. 1, pp. 3-12, 2022. [paper]
S. Yoon, Kyujin Shim, K. Ko, N. Ha, M. Lee, H. Jang, K. Kwon, K. Park, and C. Kim, "Deep Learning-Based Real-Time Video Stabilization for Infrared Videos," Journal of the Institute of Electronics and Information Engineers, vol. 59, no. 2, pp. 77-83, 2022. [paper]
Kyujin Shim, S. Choi, J Lee, T. Lee, and C. Kim, "Trends in Object Classification," The Magazine of the IEIE, Vol. 47, no. 2, pp. 64-75, 2020. [paper]
S. Choi, Kyujin Shim, J. Lee, T. Lee, and C. Kim, "A Comprehensive Study of Long-Term Object Tracking," The Magazine of the IEIE, Vol. 47, no. 2, pp. 53-63, 2020. [paper]
S. Choi, Kyujin Shim, J. Lee, T. Lee, and C. Kim, "A Survey of Recent Trends in Short-Term Object Tracking," The Magazine of the IEIE, Vol. 47, no. 2, pp. 40-52, 2020. [paper]
Developing Object Tracking Technology in Single and Consecutive Traffic Videos
(2024.02 ~ Present) with Korea Telecom (KT)
Real-time online multi-target multi-camera tracking for an city traffic surveillance system
Development of AI-Based Cargo Detection and Tracking System in the Distributed Multi-Camera Environment
(2021.09 ~ Present) with Electronics and Telecommunications Research Institute (ETRI)
Cargo detection & tracking for an airport surveillance system
Real-time online multi-object tracking & multi-target multi-camera tracking
High-Resolution Video Acquisition Payload Technology on High-Speed Aircraft (Object Tracking and Image Processing Algorithm)
(2020.03 ~ 2021.12) with LIG NEX1
Real-time image deblurring, video stabilization, and super-resolution on high-resolution EO (3400 x 3400) / IR (1456 x 1456) videos for an embedded system of high-speed aircraft
Real-time long-term object tracking on high-resolution EO (3400 x 3400) / IR (1456 x 1456) videos for an embedded system of high-speed aircraft
AI-Based Object Tracking and Recognition
(2019.02 ~ 2020.02) with Hanwha Systems
Image classification, object detection, and single object tracking on RGB / IR videos
Development of Image-Based Deep Learning Algorithm on Embedded System
(2018.02 ~ 2018.12) with Samsung Electronics Global Technology Center
Image segmentation for defect inspection
Training data generation using Generative Adversarial Network (GAN)
Development of Efficient Deep Learning Algorithm on Embedded System for Object Classification
(2017.06 ~ 2017.12) with Samsung Electronics Global Technology Center
Weights quantization & network squeezing of object classification networks for embedded system
2022 The IEIE Summer Conference Hyundai Motor Group Paper Award
2020 NVIDIA AI City Challenge Track 3 "City-Scale Multi-Camera Vehicle Tracking": 3rd Prize (Apr. 2020)
2019 The IEIE Fall Conference Paper Award
2013 ~ 2016 Presidential Science Scholarship from Korea Student Aid Foundation
2010 ~ 2020 Gangwon Future Talent Scholarship from Gangwon Institute for Talent & Lifelong Education
Programming: Python, C, C++, Java, Matlab
Deep-Learning Framework: PyTorch, TensorFlow, PaddlePaddle
Language: Korean, English, Japanese