Kyusin Shim (심규진)

Education

• 2017.3 - Present        Combined(M.S. & Ph.D.) (School of Electrical Engineering), Korea Advanced Institute of Science Technology

• 2013.3 - 2017.2          B.S. (School of Electrical Engineering), Korea Advanced Institute of Science Technology 

Research Interests

• Image Deblurring

• Multi-Object Tracking

• Multi-Target Multi-Camera Tracking

Projects

• 2021.09.01 ~ Present

    with Electronics and Telecommunications Research Institute (ETRI) 

    [Title] Development of AI-based cargo detection and tracking system in the distributed multi-camera environment

• Cargo Detection

• Online Multi-Object Tracking

• Online Multi-Target Multi-Camera Tracking

• 2020.03 ~ 2021.12.31

with LIG NEX1

[Title] High-Resolution Video Acquisition Payload Technology on High-Speed Aircraft (Object Tracking and Image Processing Algorithm)

• Real-time Long-term Object Tracking on High-Resolution EO / IR videos

• Real-time Image Deblurring on High-Resolution EO / IR videos

• Real-time Video Stabilization on High-Resolution EO / IR videos

• Real-time Super-resolution on EO / IR videos

• 2019.02 ~ 2020.02

with Hanwha Systems

[Title] AI-based object tracking and recognition

• Single Object Tracking on EO / IR videos

• Object Detection on EO / IR videos

• Image Classification on EO / IR videos

• 2018.02 ~ 2018.12

with Samsung Electronics Global Technology Center

[Title] Development of Image-based Deep Learning Algorithm on Embedded System

• Image Segmentation on Embedded System

• 2017.06 ~ 2017.12

with Samsung Electronics Global Technology Center

[Title] Development of Efficient Deep Learning Algorithm on Embedded System for Object Classification

Honors & Awards

• 2020 NVIDIA AI City Challenge Track 3 "City-Scale Multi-Camera Vehicle Tracking": 3rd Prize (Apr. 2020) 

• Paper Award, The IEIE Fall Conference, 2019

[paper] J. Byun, Kyujin Shim, and C. Kim, "Improving Image Recognition of CNNs through Partial Screen Blending of Images"

Publications

• International Conference

• 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]

• J. Byun, Kyujin Shim, H. Go, and C. Kim, "Hidden Conditional Adversarial Attacks," 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*, S. Yoon*, K. Ko and C. Kim, "Multi-Target Multi-Camera Vehicle Tracking for City-Scale Traffic Management," IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Jun. 2021 (* These two authors contributed equally) [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]

• Kyujin Shim*, J. Byun*, and C. Kim, "BitNet: Learning-Based Bit-Depth Expansion," 14th Asian Conference on Computer Vision (ACCV), Dec. 2018. (* These two authors contributed equally) [paper][code]

• International Journal

  • K. Ko, Kyujin Shim, K. Lee, and C. Kim, "Large-scale Benchmark for Uncooled Infrared Image Deblurring," IEEE Sensors, Oct. 2023. [paper]

  • Kyujin Shim, K. Ko, J. Hwang, H. Jang, and C. Kim, "Fast Online Multi-target Multi-camera Tracking for Vehicles," Applied Intelligence, Oct. 2023. [paper][code]

  • 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

  • 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, Jan. 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, Feb. 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, Feb. 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, Feb. 2020. [paper]