Kwang-Ju Kim

According to our database, Kwang-Ju Kim authored at least 26 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SurgT challenge: Benchmark of soft-tissue trackers for robotic surgery.

João Cartucho, Alistair Weld, Samyakh Tukra, Haozheng Xu, Hiroki Matsuzaki, Taiyo Ishikawa, Minjun Kwon, Yongeun Jang, Kwang-Ju Kim, Gwang Lee, Bizhe Bai, Lueder A. Kahrs, Lars Boecking, Simeon Allmendinger, Leopold Müller, Yitong Zhang, Yueming Jin, Sophia Bano, Francisco Vasconcelos, Wolfgang Reiter, Jonas Hajek, Bruno Silva, Estevão Lima, João L. Vilaça, Sandro F. Queiros, Stamatia Giannarou

Medical Image Anal., January, 2024

Corrigendum to 'Collaborative multi-modal deep learning and radiomic features for classification of strokes within 6 h' [Expert Systems Appl. (2023), 228, 120473].

Chiho Yoon, Sampa Misra, Kwang-Ju Kim, Chulhong Kim, Bum Joon Kim

Expert Syst. Appl., 2024

EQ-CBM: A Probabilistic Concept Bottleneck with Energy-based Models and Quantized Vectors.

Sangwon Kim, Dasom Ahn, Byoung Chul Ko, In-Su Jang, Kwang-Ju Kim

CoRR, 2024

Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in Sports.

Hsiang-Wei Huang, Cheng-Yen Yang, Jiacheng Sun, Pyong-Kun Kim, Kwang-Ju Kim, Kyoungoh Lee, Chung-I Huang, Jenq-Neng Hwang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

TRET: Two Stream-Based Regionally Enhanced Transformers for Person Re-Identification.

Kyoungoh Lee, Kwang-Ju Kim, Pyong-Kun Kim, In-Su Jang

Proceedings of the IEEE International Conference on Acoustics, 2024

SSNet: Synergistic Segmentation of Brain MRI Scans Using nnUNetv2 and SAM-track.

Yongeun Jang, Kwang-Ju Kim, In-Su Jang, Gwang Lee

Proceedings of the International Conference on Artificial Intelligence in Information and Communication , 2024

An Online Approach and Evaluation Method for Tracking People Across Cameras in Extremely Long Video Sequence.

Cheng-Yen Yang, Hsiang-Wei Huang, Pyong-Kun Kim, Zhongyu Jiang, Kwang-Ju Kim, Chung-I Huang, Haiqing Du, Jenq-Neng Hwang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MOVES: Motion-Oriented VidEo Sampling for Natural Language-Based Vehicle Retrieval.

Dongyoung Kim, Kyoungoh Lee, In-Su Jang, Kwang-Ju Kim, Pyong-Kun Kim, Jaejun Yoo

Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance, 2024

2023

Collaborative multi-modal deep learning and radiomic features for classification of strokes within 6 h.

Chiho Yoon, Sampa Misra, Kwang-Ju Kim, Chulhong Kim, Bum Joon Kim

Expert Syst. Appl., October, 2023

Learning Temporal Attention Based Keypoint-Guided Embedding for Gait Recognition.

Hung-Min Hsu, Yizhou Wang, Cheng-Yen Yang, Jenq-Neng Hwang, Le Uyen Thuc Hoang, Kwang-Ju Kim

IEEE J. Sel. Top. Signal Process., May, 2023

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

João Cartucho, Alistair Weld, Samyakh Tukra, Haozheng Xu, Hiroki Matsuzaki, Taiyo Ishikawa, Minjun Kwon, Yongeun Jang, Kwang-Ju Kim, Gwang Lee, Bizhe Bai, Lueder A. Kahrs, Lars Boecking, Simeon Allmendinger, Leopold Müller, Yitong Zhang, Yueming Jin, Sophia Bano, Francisco Vasconcelos, Wolfgang Reiter, Jonas Hajek, Bruno Silva, Lukas R. Buschle, Estevão Lima, João L. Vilaça, Sandro F. Queiros, Stamatia Giannarou

CoRR, 2023

Observation Centric and Central Distance Recovery for Athlete Tracking.

Hsiang-Wei Huang, Cheng-Yen Yang, Samartha Ramkumar, Chung-I Huang, Jenq-Neng Hwang, Pyong-Kun Kim, Kyoungoh Lee, Kwang-Ju Kim

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.

Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwang-Ju Kim, Kyoungoh Lee

CoRR, 2022

GAITTAKE: Gait Recognition by Temporal Attention and Keypoint-Guided Embedding.

Hung-Min Hsu, Yizhou Wang, Cheng-Yen Yang, Jenq-Neng Hwang, Le Uyen Thuc Hoang, Kwang-Ju Kim

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.

Kwang-Ju Kim, Pyong-Kun Kim, Kil-Taek Lim, Jong Taek Lee

Proceedings of the 2022 International Conference on Artificial Intelligence in Information and Communication, 2022

REET: Region-Enhanced Transformer for Person Re-Identification.

Kyoungoh Lee, In-Su Jang, Kwang-Ju Kim, Pyong-Kun Kim

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.

Hung-Min Hsu, Jiarui Cai, Yizhou Wang, Jenq-Neng Hwang, Kwang-Ju Kim

IEEE Trans. Image Process., 2021

Histological Image Segmentation and Classification Using Entropy-Based Convolutional Module.

Hwa-Rang Kim, Kwang-Ju Kim, Kil-Taek Lim, Doo-Hyun Choi

IEEE Access, 2021

ROD2021 Challenge: A Summary for Radar Object Detection Challenge for Autonomous Driving Applications.

Yizhou Wang, Jenq-Neng Hwang, Gaoang Wang, Hui Liu, Kwang-Ju Kim, Hung-Min Hsu, Jiarui Cai, Haotian Zhang, Zhongyu Jiang, Renshu Gu

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.

Kwang-Ju Kim, Kil-Taek Lim, Jang-Woon Baek, Miyoung Shin

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.

Hwa-Rang Kim, Kwang-Ju Kim, Kil-Taek Lim, Doo-Hyun Choi

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Multi-Scale Detector for Accurate Vehicle Detection in Traffic Surveillance Data.

Kwang-Ju Kim, Pyong-Kun Kim, Yun-Su Chung, Doo-Hyun Choi

IEEE Access, 2019

2018

Vehicle Color Recognition via Representative Color Region Extraction and Convolutional Neural Network.

Kwang-Ju Kim, Pyong-Kun Kim, Kil-Taek Lim, Yun-Su Chung, Yoon-Jeong Song, Soo In Lee, Doo-Hyun Choi

Proceedings of the Tenth International Conference on Ubiquitous and Future Networks, 2018

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

Jang-Woon Baek, Byung-Gil Han, Kwang-Ju Kim, Yun-Su Chung, Soo-In Lee

Proceedings of the Tenth International Conference on Ubiquitous and Future Networks, 2018

UA-DETRAC 2018: Report of AVSS2018 & IWT4S Challenge on Advanced Traffic Monitoring.

Siwei Lyu, Ming-Ching Chang, Dawei Du, Wenbo Li, Yi Wei, Marco Del Coco, Pierluigi Carcagnì, Arne Schumann, Bharti Munjal, Dinh-Quoc-Trung Dang, Doo-Hyun Choi, Erik Bochinski, Fabio Galasso, Filiz Bunyak, Guna Seetharaman, Jang-Woon Baek, Jong Taek Lee, Kannappan Palaniappan, Kil-Taek Lim, Kiyoung Moon, Kwang-Ju Kim, Lars Sommer, Meltem Brandlmaier, Minsung Kang, Moongu Jeon, Noor M. Al-Shakarji, Oliver Acatay, Pyong-Kun Kim, Sikandar Amin, Thomas Sikora, Tien Ba Dinh, Tobias Senst, Vu-Gia-Hy Che, Young-Chul Lim, Young-min Song, Yun-Su Chung

Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018

Performance Enhancement of YOLOv3 by Adding Prediction Layers with Spatial Pyramid Pooling for Vehicle Detection.

Kwang-Ju Kim, Pyong-Kun Kim, Yun-Su Chung, Doo-Hyun Choi

Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018