Online and Real-Time Tracking with the GM-PHD Filter using Group Management and Relative Motion Analysis. - Young-min Song; Young-Chul Yoon; Kwangjin Yoon; Moongu Jeon (AVSS, 2018)

Online Multi-Object Tracking with Historical Appearance Matching and Scene Adaptive Detection Filtering. - Young-Chul Yoon; Abhijeet Boragule; Young-min Song; Kwangjin Yoon; Moongu Jeon (AVSS, 2018)

Online Multi-Object Tracking with Historical Appearance Matching and Scene Adaptive Detection Filtering. - Young-Chul Yoon; Abhijeet Boragule; Kwangjin Yoon; Moongu Jeon (CoRR, 2018)

Multiple hypothesis tracking algorithm for multi-target multi-camera tracking with disjoint views. - Kwangjin Yoon; Young-min Song; Moongu Jeon (IET Image Process., 2018)

Online Multi-Object Tracking With GMPHD Filter and Occlusion Group Management. - Young-min Song; Kwangjin Yoon; Young-Chul Yoon; Kin Choong Yow 001; Moongu Jeon (IEEE Access, 2019)

Online Multiple Pedestrian Tracking using Deep Temporal Appearance Matching Association. - Young-Chul Yoon; Du Yong Kim; Kwangjin Yoon; Young-min Song; Moongu Jeon (CoRR, 2019)

Online Multi-Object Tracking Framework with the GMPHD Filter and Occlusion Group Management. - Young-min Song; Kwangjin Yoon; Young-Chul Yoon; Kin-Choong Yow 001; Moongu Jeon (CoRR, 2019)

Data Association for Multi-Object Tracking via Deep Neural Networks. - Kwangjin Yoon; Du Yong Kim; Young-Chul Yoon; Moongu Jeon (Sensors, 2019)

NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. - Kai Zhang 008; Shuhang Gu; Radu Timofte; Taizhang Shang; Qiuju Dai; Shengchen Zhu; Tong Yang; Yandong Guo; Younghyun Jo; Sejong Yang; Seon Joo Kim; Lin Zha; et al. (CVPR Workshops, 2020)

OneShotDA: Online Multi-Object Tracker With One-Shot-Learning-Based Data Association. - Kwangjin Yoon; Jeonghwan Gwak; Young-min Song; Young-Chul Yoon; Moongu Jeon (IEEE Access, 2020)

Deep Learning-Based Distortion Sensitivity Prediction for Full-Reference Image Quality Assessment. - Sewoong Ahn; Yeji Choi; Kwangjin Yoon (CVPR Workshops, 2021)

Simple and Efficient Unpaired Real-world Super-Resolution using Image Statistics. - Kwangjin Yoon (ICCVW, 2021)

An End-to-End Trainable Video Panoptic Segmentation Method usingTransformers. - Jeongwon Ryu; Kwangjin Yoon (CoRR, 2021)

Online multiple pedestrians tracking using deep temporal appearance matching association. - Young-Chul Yoon; Du Yong Kim; Young-min Song; Kwangjin Yoon; Moongu Jeon (Inf. Sci., 2021)

Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super Resolution. - Sangyun Lee; Sewoong Ahn; Kwangjin Yoon (ECCV Workshops (2), 2022)

Multiobject Tracking and Segmentation With Embedding Mask-Based Affinity Fusion in Hierarchical Data Association. - Young-Min Song; Young-Chul Yoon; Kwangjin Yoon; Hyunsung Jang; Namkoo Ha; Moongu Jeon (IEEE Access, 2022)

Bag of Tricks for Domain Adaptive Multi-Object Tracking. - Minseok Seo; Jeongwon Ryu; Kwangjin Yoon (CoRR, 2022)