Kwang-Ju Kim

Orcid: 0000-0001-8458-4506

According to our database1, Kwang-Ju Kim authored at least 20 papers between 2018 and 2024.

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

Timeline

Legend:

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Bibliography

2024
SurgT challenge: Benchmark of soft-tissue trackers for robotic surgery.
Medical Image Anal., January, 2024

SSNet: Synergistic Segmentation of Brain MRI Scans Using nnUNetv2 and SAM-track.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication , 2024

2023
Collaborative multi-modal deep learning and radiomic features for classification of strokes within 6 h.
Expert Syst. Appl., October, 2023

Learning Temporal Attention Based Keypoint-Guided Embedding for Gait Recognition.
IEEE J. Sel. Top. Signal Process., May, 2023

SurgT challenge: Benchmark of Soft-Tissue Trackers for Robotic Surgery.
CoRR, 2023

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

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

GAITTAKE: Gait Recognition by Temporal Attention and Keypoint-Guided Embedding.
Proceedings of the 2022 IEEE International Conference on Image Processing, 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

2021
Multi-Target Multi-Camera Tracking of Vehicles Using Metadata-Aided Re-ID and Trajectory-Based Camera Link Model.
IEEE Trans. Image Process., 2021

Histological Image Segmentation and Classification Using Entropy-Based Convolutional Module.
IEEE Access, 2021

ROD2021 Challenge: A Summary for Radar Object Detection Challenge for Autonomous Driving Applications.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

Low-Cost Real-time Driver Drowsiness Detection based on Convergence of IR Images and EEG Signals.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2021

2020
Colorectal Cancer Image Segmentation and Classification with Deep Neural Network Based on Information Theory.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

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

Real-Time Drowsiness Detection Algorithm for Driver State Monitoring Systems.
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


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