Kwang-Ju Kim

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 25

Top Topics

Traffic Monitoring

Vehicle Detection

Image Segmentation

Top Venues

WACV (Workshops)

Publications

Hsiang-Wei Huang, Cheng-Yen Yang, Jiacheng Sun, Pyong-Kun Kim, Kwang-Ju Kim, Kyoungoh Lee, Chung-I Huang, Jenq-Neng Hwang
Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in Sports. WACV (Workshops) (2024)
Yongeun Jang, Kwang-Ju Kim, In-Su Jang, Gwang Lee
SSNet: Synergistic Segmentation of Brain MRI Scans Using nnUNetv2 and SAM-track. ICAIIC (2024)
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
SurgT challenge: Benchmark of soft-tissue trackers for robotic surgery. Medical Image Anal. 91 (2024)
Chiho Yoon, Sampa Misra, Kwang-Ju Kim, Chulhong Kim, Bum Joon Kim
Corrigendum to 'Collaborative multi-modal deep learning and radiomic features for classification of strokes within 6 h' [Expert Systems Appl. (2023), 228, 120473]. Expert Syst. Appl. 239 (2024)
Kyoungoh Lee, Kwang-Ju Kim, Pyong-Kun Kim, In-Su Jang
TRET: Two Stream-Based Regionally Enhanced Transformers for Person Re-Identification. ICASSP (2024)
João Cartucho, Alistair Weld, Samyakh Tukra, Haozheng Xu, Hiroki Matsuzaki, Taiyo Ishikawa, Minjun Kwon, Yongeun Jang, Kwang-Ju Kim, Gwang Lee, Bizhe Bai, Lueder 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
SurgT: Soft-Tissue Tracking for Robotic Surgery, Benchmark and Challenge. CoRR (2023)
Hsiang-Wei Huang, Cheng-Yen Yang, Samartha Ramkumar, Chung-I Huang, Jenq-Neng Hwang, Pyong-Kun Kim, Kyoungoh Lee, Kwang-Ju Kim
Observation Centric and Central Distance Recovery for Athlete Tracking. WACV (Workshops) (2023)
Chiho Yoon, Sampa Misra, Kwang-Ju Kim, Chulhong Kim, Bum Joon Kim
Collaborative multi-modal deep learning and radiomic features for classification of strokes within 6 h. Expert Syst. Appl. 228 (2023)
Hung-Min Hsu, Yizhou Wang, Cheng-Yen Yang, Jenq-Neng Hwang, Le Uyen Thuc Hoang, Kwang-Ju Kim
Learning Temporal Attention Based Keypoint-Guided Embedding for Gait Recognition. IEEE J. Sel. Top. Signal Process. 17 (3) (2023)
Kyoungoh Lee, In-Su Jang, Kwang-Ju Kim, Pyong-Kun Kim
REET: Region-Enhanced Transformer for Person Re-Identification. AVSS (2022)
Kwang-Ju Kim, Pyong-Kun Kim, Kil-Taek Lim, Jong Taek Lee
Performance Improvement Method of the Video Visual Relation Detection with Multi-modal Feature Fusion. ICAIIC (2022)
Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwang-Ju Kim, Kyoungoh Lee
Observation Centric and Central Distance Recovery on Sports Player Tracking. CoRR (2022)
Hung-Min Hsu, Yizhou Wang, Cheng-Yen Yang, Jenq-Neng Hwang, Le Uyen Thuc Hoang, Kwang-Ju Kim
GAITTAKE: Gait Recognition by Temporal Attention and Keypoint-Guided Embedding. ICIP (2022)
Hung-Min Hsu, Yizhou Wang, Cheng-Yen Yang, Jenq-Neng Hwang, Le Uyen Thuc Hoang, Kwang-Ju Kim
GaitTAKE: Gait Recognition by Temporal Attention and Keypoint-guided Embedding. CoRR (2022)
Hung-Min Hsu, Jiarui Cai, Yizhou Wang, Jenq-Neng Hwang, Kwang-Ju Kim
Multi-Target Multi-Camera Tracking of Vehicles Using Metadata-Aided Re-ID and Trajectory-Based Camera Link Model. IEEE Trans. Image Process. 30 (2021)
Yizhou Wang, Jenq-Neng Hwang, Gaoang Wang, Hui Liu, Kwang-Ju Kim, Hung-Min Hsu, Jiarui Cai, Haotian Zhang, Zhongyu Jiang, Renshu Gu
ROD2021 Challenge: A Summary for Radar Object Detection Challenge for Autonomous Driving Applications. ICMR (2021)
Hung-Min Hsu, Jiarui Cai, Yizhou Wang, Jenq-Neng Hwang, Kwang-Ju Kim
Multi-Target Multi-Camera Tracking of Vehicles using Metadata-Aided Re-ID and Trajectory-Based Camera Link Model. CoRR (2021)
Kwang-Ju Kim, Kil-Taek Lim, Jang-Woon Baek, Miyoung Shin
Low-Cost Real-time Driver Drowsiness Detection based on Convergence of IR Images and EEG Signals. ICAIIC (2021)
Hwa-Rang Kim, Kwang-Ju Kim, Kil-Taek Lim, Doo-Hyun Choi
Histological Image Segmentation and Classification Using Entropy-Based Convolutional Module. IEEE Access 9 (2021)
Hwa-Rang Kim, Kwang-Ju Kim, Kil-Taek Lim, Doo-Hyun Choi
Colorectal Cancer Image Segmentation and Classification with Deep Neural Network Based on Information Theory. BIBM (2020)
Kwang-Ju Kim, Pyong-Kun Kim, Yun-Su Chung, Doo-Hyun Choi
Multi-Scale Detector for Accurate Vehicle Detection in Traffic Surveillance Data. IEEE Access 7 (2019)
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
UA-DETRAC 2018: Report of AVSS2018 & IWT4S Challenge on Advanced Traffic Monitoring. AVSS (2018)
Jang-Woon Baek, Byung-Gil Han, Kwang-Ju Kim, Yun-Su Chung, Soo-In Lee
Real-Time Drowsiness Detection Algorithm for Driver State Monitoring Systems. ICUFN (2018)
Kwang-Ju Kim, Pyong-Kun Kim, Kil-Taek Lim, Yun-Su Chung, Yoon-Jeong Song, Soo In Lee, Doo-Hyun Choi
Vehicle Color Recognition via Representative Color Region Extraction and Convolutional Neural Network. ICUFN (2018)
Kwang-Ju Kim, Pyong-Kun Kim, Yun-Su Chung, Doo-Hyun Choi
Performance Enhancement of YOLOv3 by Adding Prediction Layers with Spatial Pyramid Pooling for Vehicle Detection. AVSS (2018)