Pyong-Kun Kim

According to our database1, Pyong-Kun Kim authored at least 13 papers between 2017 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023

Observation Centric and Central Distance Recovery for Athlete Tracking.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Enhancing Multi-Camera People Tracking with Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results.
CoRR, 2022

Observation Centric and Central Distance Recovery on Sports Player Tracking.
CoRR, 2022

Performance Improvement Method of the Video Visual Relation Detection with Multi-modal Feature Fusion.
Proceedings of the 2022 International Conference on Artificial Intelligence in Information and Communication, 2022

REET: Region-Enhanced Transformer for Person Re-Identification.
Proceedings of the 18th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2022

2019
Multi-Scale Detector for Accurate Vehicle Detection in Traffic Surveillance Data.
IEEE Access, 2019

Learning Based Character Segmentation Method for Various License Plates.
Proceedings of the 16th International Conference on Machine Vision Applications, 2019

2018
Vehicle Color Recognition via Representative Color Region Extraction and Convolutional Neural Network.
Proceedings of the Tenth International Conference on Ubiquitous and Future Networks, 2018


Performance Enhancement of YOLOv3 by Adding Prediction Layers with Spatial Pyramid Pooling for Vehicle Detection.
Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018

2017
Vehicle Type Classification Using Bagging and Convolutional Neural Network on Multi View Surveillance Image.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017


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