Jongmin Yu
Orcid: 0000-0002-0718-9948
According to our database1,
Jongmin Yu
authored at least 43 papers
between 2014 and 2024.
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Bibliography
2024
CoRR, 2024
Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing.
CoRR, 2024
2023
Pattern Recognit. Lett., March, 2023
An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination.
CoRR, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Unusual Insider Behavior Detection Framework on Enterprise Resource Planning Systems Using Adversarial Recurrent Autoencoder.
IEEE Trans. Ind. Informatics, 2022
Abnormal event detection using adversarial predictive coding for motion and appearance.
Inf. Sci., 2022
Graph-structure based multi-label prediction and classification for unsupervised person re-identification.
Appl. Intell., 2022
Predictively encoded graph convolutional network for noise-robust skeleton-based action recognition.
Appl. Intell., 2022
Camera-Tracklet-Aware Contrastive Learning for Unsupervised Vehicle Re-Identification.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
A federated binarized neural network model for constrained devices in IoT healthcare services.
Proceedings of the 2022 International Conference on Artificial Intelligence in Information and Communication, 2022
2021
Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination.
CoRR, 2021
Unsupervised Person Re-identification via Multi-Label Prediction and Classification based on Graph-Structural Insight.
CoRR, 2021
Real-Time Abnormal Insider Event Detection on Enterprise Resource Planning Systems via Predictive Auto-Regression Model.
IEEE Access, 2021
Unsupervised Vehicle Re-Identification via Self-supervised Metric Learning using Feature Dictionary.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
2020
Action matching network: open-set action recognition using spatio-temporal representation matching.
Vis. Comput., 2020
Oper. Res., 2020
IEEE Access, 2020
Unsupervised Pixel-level Road Defect Detection via Adversarial Image-to-Frequency Transform.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
2019
Driver Drowsiness Detection Using Condition-Adaptive Representation Learning Framework.
IEEE Trans. Intell. Transp. Syst., 2019
Drivers Drowsiness Detection using Condition-Adaptive Representation Learning Framework.
CoRR, 2019
Boosting Mapping Functionality of Neural Networks via Latent Feature Generation based on Reversible Learning.
CoRR, 2019
Spatio-Temporal Representation Matching-Based Open-Set Action Recognition by Joint Learning of Motion and Appearance.
IEEE Access, 2019
Unconstrained Face Verification and Open-World Person Re-identification via Densely-connected Convolution Neural Network.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019
Proceedings of the 2019 International Conference on Control, 2019
Spatio-Temporal Feature Extraction and Distance Metric Learning for Unconstrained Action Recognition.
Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019
2018
Mach. Vis. Appl., 2018
Deep Discriminative Representation Learning for Face Verification and Person Re-Identification on Unconstrained Condition.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Parasitic Network: Learning-Based Network Downsizing of Very Deep Neural Networks for Computer Vision.
Proceedings of the 2018 International Conference on Control, 2018
2017
Proceedings of the International Conference on Control, 2017
Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017
2016
Abnormal Event Detection using Scene Partitioning by Regional Activity Pattern Analysis.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016
Proceedings of the 2016 International Conference on Control, 2016
Feature flow-based abnormal event detection using a scene-adaptive cuboid determination method.
Proceedings of the 2016 International Conference on Control, 2016
Representation Learning, Scene Understanding, and Feature Fusion for Drowsiness Detection.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016
2015
Proceedings of the 2015 International Conference on Control, 2015
2014
Background subtraction based on Gaussian mixture models using color and depth information.
Proceedings of the International Conference on Control, 2014
Heart Beat Detection Method with Estimation of Regular Intervals between ECG and Blood Pressure.
Proceedings of the Computing in Cardiology, CinC 2014, 2014