Kyujin Shim

Orcid: 0000-0003-3015-8725

According to our database1, Kyujin Shim authored at least 14 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Focusing on Tracks for Online Multi-Object Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Enhancing Robustness of Multi-Object Trackers With Temporal Feature Mix.
IEEE Trans. Circuits Syst. Video Technol., October, 2024

Adaptrack: Adaptive Thresholding-Based Matching for Multi-Object Tracking.
Proceedings of the IEEE International Conference on Image Processing, 2024

A Confidence-Aware Matching Strategy For Generalized Multi-Object Tracking.
Proceedings of the IEEE International Conference on Image Processing, 2024

2023
Fast online multi-target multi-camera tracking for vehicles.
Appl. Intell., December, 2023

Uncooled Infrared Image Deblurring.
Dataset, April, 2023

Robust Multi-Object Tracking With Local Appearance and Stable Motion Models.
IEEE Access, 2023

2022
Dynamic Template Update for Visual Object Tracking.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Hidden Conditional Adversarial Attacks.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Weakly-Supervised Multiple Object Tracking Via A Masked Center Point Warping Loss.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Understanding Vqa For Negative Answers Through Visual And Linguistic Inference.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Multi-Target Multi-Camera Vehicle Tracking for City-Scale Traffic Management.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Multi-Step Quantization Of A Multi-Scale Network For Crowd Counting.
Proceedings of the IEEE International Conference on Image Processing, 2020

2018
BitNet: Learning-Based Bit-Depth Expansion.
Proceedings of the Computer Vision - ACCV 2018, 2018


  Loading...