Jongmin Yu
Cited by
Cited by
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
Predictively encoded graph convolutional network for noise-robust skeleton-based action recognition
Y Yoon, J Yu, M Jeon
Applied Intelligence, 1-15, 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
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
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
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
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
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
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
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
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
Normality-calibrated autoencoder for unsupervised anomaly detection on data contamination
J Yu, H Oh, M Kim, J Kim
arXiv preprint arXiv:2110.14825, 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
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
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
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
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
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
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
Active anomaly detection based on deep one-class classification
M Kim, J Kim, J Yu, JK Choi
Pattern Recognition Letters 167, 18-24, 2023
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