| Driver drowsiness detection using condition-adaptive representation learning framework J Yu, S Park, S Lee, M Jeon IEEE transactions on intelligent transportation systems 20 (11), 4206-4218, 2018 | 101 | 2018 |
| Predictively encoded graph convolutional network for noise-robust skeleton-based action recognition Y Yoon, J Yu, M Jeon Applied Intelligence, 1-15, 2022 | 58 | 2022 |
| Abnormal event detection and localization via adversarial event prediction J Yu, Y Lee, KC Yow, M Jeon, W Pedrycz IEEE transactions on neural networks and learning systems 33 (8), 3572-3586, 2021 | 56 | 2021 |
| Representation learning, scene understanding, and feature fusion for drowsiness detection J Yu, S Park, S Lee, M Jeon Computer Vision–ACCV 2016 Workshops: ACCV 2016 International Workshops …, 2017 | 42 | 2017 |
| Joint representation learning of appearance and motion for abnormal event detection J Yu, KC Yow, M Jeon Machine Vision and Applications 29 (7), 1157-1170, 2018 | 29 | 2018 |
| Background subtraction based on Gaussian mixture models using color and depth information Y Song, SJ Noh, J Yu, C Park, B Lee The 2014 international conference on control, automation and information …, 2014 | 28 | 2014 |
| Unsupervised pixel-level road defect detection via adversarial image-to-frequency transform J Yu, DY Kim, Y Lee, M Jeon 2020 IEEE Intelligent Vehicles Symposium (IV), 1708-1713, 2020 | 24 | 2020 |
| An incremental learning approach for restricted boltzmann machines J Yu, J Gwak, S Lee, M Jeon 2015 International conference on control, automation and information …, 2015 | 23 | 2015 |
| Action matching network: open-set action recognition using spatio-temporal representation matching J Yu, DY Kim, Y Yoon, M Jeon The Visual Computer 36, 1457-1471, 2020 | 18 | 2020 |
| Unsupervised vehicle re-identification via self-supervised metric learning using feature dictionary J Yu, H Oh 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 17 | 2021 |
| Abnormal event detection using adversarial predictive coding for motion and appearance J Yu, JG Kim, J Gwak, BG Lee, M Jeon Information Sciences 586, 59-73, 2022 | 15 | 2022 |
| Normality-calibrated autoencoder for unsupervised anomaly detection on data contamination J Yu, H Oh, M Kim, J Kim arXiv preprint arXiv:2110.14825, 2021 | 14 | 2021 |
| Deep discriminative representation learning for face verification and person re-identification on unconstrained condition J Yu, D Ko, H Moon, M Jeon 2018 25th IEEE International Conference on Image Processing (ICIP), 1658-1662, 2018 | 13 | 2018 |
| Gaussian-Poisson mixture model for anomaly detection of crowd behaviour J Yu, J Gwak, M Jeon 2016 International Conference on Control, Automation and Information …, 2016 | 12 | 2016 |
| Robust detection of heartbeats using association models from blood pressure and EEG signals T Jeon, J Yu, W Pedrycz, M Jeon, B Lee, B Lee BioMedical Engineering OnLine 15, 1-14, 2016 | 10 | 2016 |
| Camera-tracklet-aware contrastive learning for unsupervised vehicle re-identification J Yu, J Kim, M Kim, H Oh 2022 International Conference on Robotics and Automation (ICRA), 905-911, 2022 | 8 | 2022 |
| Unusual Insider Behaviour Detection Framework on Enterprise Resource Planning Systems using Adversarial Recurrent Auto-encoder J Yu, H Oh, M Kim, S Jung IEEE Transactions on Industrial Informatics, 2021 | 8 | 2021 |
| Context-aware multi-task learning for traffic scene recognition in autonomous vehicles Y Lee, J Jeon, J Yu, M Jeon 2020 IEEE Intelligent Vehicles Symposium (IV), 723-730, 2020 | 7 | 2020 |
| Learning to remove bad weather: Towards robust visual perception for self-driving Y Lee, Y Kim, J Yu, M Jeon IEEE Robotics and Automation Letters, 2022 | 6 | 2022 |
| Heart beat detection method with estimation of regular intervals between ECG and blood pressure J Yu, T Jeon, M Jeon Computing in Cardiology 2014, 561-564, 2014 | 6 | 2014 |
Moongu JeonGwangju Institute of Science and TechnologyBestätigte E-Mail-Adresse bei gist.ac.kr
