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Kwang-Ju Kim

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2020 – today

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2024
[j7]
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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: 122692 (2024)
[j6]
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  - journals/mia/CartuchoWTXMIKJKLBKBAMZJBVRHSLVQG24
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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: 102985 (2024)
[c17]
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  - conf/accv/KimAKJK24
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Sangwon Kim, Dasom Ahn, Byoung Chul Ko, In-Su Jang, Kwang-Ju Kim:
EQ-CBM: A Probabilistic Concept Bottleneck with Energy-Based Models and Quantized Vectors. ACCV (7) 2024: 270-286
[c16]
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Dongyoung Kim, Kyoungoh Lee, In-Su Jang, Kwang-Ju Kim, Pyong-Kun Kim, Jaejun Yoo:
MOVES: Motion-Oriented VidEo Sampling for Natural Language-Based Vehicle Retrieval. AVSS 2024: 1-7
[c15]
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  - conf/cvpr/YangHKJKHDH22
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Cheng-Yen Yang, Hsiang-Wei Huang, Pyong-Kun Kim, Zhongyu Jiang, Kwang-Ju Kim, Chung-I Huang, Haiqing Du, Jenq-Neng Hwang:
An Online Approach and Evaluation Method for Tracking People Across Cameras in Extremely Long Video Sequence. CVPR Workshops 2024: 7037-7045
[c14]
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  - conf/icaiic/JangKJL24
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Yongeun Jang, Kwang-Ju Kim, In-Su Jang, Gwang Lee:
SSNet: Synergistic Segmentation of Brain MRI Scans Using nnUNetv2 and SAM-track. ICAIIC 2024: 614-616
[c13]
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  - conf/icassp/LeeKKJ24
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Kyoungoh Lee, Kwang-Ju Kim, Pyong-Kun Kim, In-Su Jang:
TRET: Two Stream-Based Regionally Enhanced Transformers for Person Re-Identification. ICASSP 2024: 5795-5799
[c12]
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  - conf/wacv/HuangYSKKLHH24
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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: 163-172
[i5]
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  - journals/corr/abs-2409-14630
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Sangwon Kim, Dasom Ahn, Byoung Chul Ko, In-Su Jang, Kwang-Ju Kim:
EQ-CBM: A Probabilistic Concept Bottleneck with Energy-based Models and Quantized Vectors. CoRR abs/2409.14630 (2024)
2023
[j5]
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  - journals/eswa/YoonMKKK23
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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: 120473 (2023)
[j4]
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  - journals/jstsp/HsuWYHHK23
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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): 689-698 (2023)
[c11]
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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: 454-460
[i4]
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  - journals/corr/abs-2302-03022
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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:
SurgT challenge: Benchmark of Soft-Tissue Trackers for Robotic Surgery. CoRR abs/2302.03022 (2023)
2022
[c10]
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  - conf/avss/LeeJKK22
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Kyoungoh Lee, In-Su Jang, Kwang-Ju Kim, Pyong-Kun Kim:
REET: Region-Enhanced Transformer for Person Re-Identification. AVSS 2022: 1-8
[c9]
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  - conf/icaiic/KimKLL22
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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: 87-91
[c8]
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  - conf/icip/Hsu0YHHK22
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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: 2546-2550
[i3]
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  - journals/corr/abs-2207-03608
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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 abs/2207.03608 (2022)
[i2]
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  - journals/corr/abs-2209-13154
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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 abs/2209.13154 (2022)
2021
[j3]
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  - journals/access/KimKLC21
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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: 90964-90976 (2021)
[j2]
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  - journals/tip/HsuCWHK21
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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: 5198-5210 (2021)
[c7]
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  - conf/icaiic/KimLBS21
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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: 438-443
[c6]
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  - conf/mir/0005HW0KHCZJG21
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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: 553-559
[i1]
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  - journals/corr/abs-2105-01213
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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 abs/2105.01213 (2021)
2020
[c5]
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  - conf/bibm/KimKLC20
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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: 2968-2970

2010 – 2019

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2019
[j1]
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  - journals/access/KimKCC19
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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: 78311-78319 (2019)
2018
[c4]
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  - conf/avss/KimKCC18
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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: 1-6
[c3]
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  - conf/avss/LyuCDLWCCSMDCBG18
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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: 1-6
[c2]
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  - conf/icufn/BaekHKCL18
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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: 73-75
[c1]
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  - conf/icufn/KimKLCSLC18
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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: 89-94

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