Jongmin Yu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 49

Top Topics

Action Recognition

Metric Learning

Abnormal Event Detection

Top Venues

Publications

Jongmin Yu, Jiaqi Jiang, Sebastiano Fichera, Paolo Paoletti, Lisa Layzell, Devansh Mehta, Shan Luo
Road Surface Defect Detection - From Image-based to Non-image-based: A Survey. CoRR (2024)
Jongmin Yu, Chen Bene Chi, Sebastiano Fichera, Paolo Paoletti, Devansh Mehta, Shan Luo
Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing. ICRA (2024)
Jongmin Yu, Chen Bene Chi, Sebastiano Fichera, Paolo Paoletti, Devansh Mehta, Shan Luo
Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing. CoRR (2024)
Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi
Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics. CoRR (2023)
Jongmin Yu, Hyeontaek Oh, Jinhong Yang
Adversarial Denoising Diffusion Model for Unsupervised Anomaly Detection. CoRR (2023)
Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi
Active anomaly detection based on deep one-class classification. Pattern Recognit. Lett. 167 (2023)
Jongmin Yu, Hyeontaek Oh, Sebastiano Fichera, Paolo Paoletti, Shan Luo
Multi-source Domain Adaptation for Unsupervised Road Defect Segmentation. ICRA (2023)
Minkyung Kim, Jongmin Yu, Junsik Kim, Tae-Hyun Oh, Jun Kyun Choi
An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination. CoRR (2023)
Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi
Active anomaly detection based on deep one-class classification. CoRR (2023)
Hyeontaek Oh, Jongmin Yu, Nakyoung Kim, Dongyeong Kim, Jangwon Lee, Jinhong Yang
A federated binarized neural network model for constrained devices in IoT healthcare services. ICAIIC (2022)
Jongmin Yu, Junsik Kim, Minkyung Kim, Hyeontaek Oh
Camera-Tracklet-Aware Contrastive Learning for Unsupervised Vehicle Re-Identification. ICRA (2022)
Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi
Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics. ICDM (Workshops) (2022)
Jongmin Yu, Hyeontaek Oh
Graph-structure based multi-label prediction and classification for unsupervised person re-identification. Appl. Intell. 52 (12) (2022)
Jongmin Yu, Jung-Gyun Kim, Jeonghwan Gwak, Byung-Geun Lee, Moongu Jeon
Abnormal event detection using adversarial predictive coding for motion and appearance. Inf. Sci. 586 (2022)
Yongsang Yoon, Jongmin Yu, Moongu Jeon
Predictively encoded graph convolutional network for noise-robust skeleton-based action recognition. Appl. Intell. 52 (3) (2022)
Jongmin Yu, Younkwan Lee, Kin Choong Yow, Moongu Jeon, Witold Pedrycz
Abnormal Event Detection and Localization via Adversarial Event Prediction. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Jongmin Yu, Hyeontaek Oh, Minkyung Kim, Sehun Jung
Unusual Insider Behavior Detection Framework on Enterprise Resource Planning Systems Using Adversarial Recurrent Autoencoder. IEEE Trans. Ind. Informatics 18 (3) (2022)
Jongmin Yu, Hyeontaek Oh
Unsupervised Person Re-identification via Multi-Label Prediction and Classification based on Graph-Structural Insight. CoRR (2021)
Jongmin Yu, Hyeontaek Oh
Unsupervised Vehicle Re-Identification via Self-supervised Metric Learning using Feature Dictionary. CoRR (2021)
Jongmin Yu, Junsik Kim, Minkyung Kim, Hyeontaek Oh
Camera-Tracklet-Aware Contrastive Learning for Unsupervised Vehicle Re-Identification. CoRR (2021)
Jongmin Yu, Hyeontaek Oh
Unsupervised Vehicle Re-Identification via Self-supervised Metric Learning using Feature Dictionary. IROS (2021)
Jongmin Yu, Hyeontaek Oh, Minkyung Kim, Junsik Kim
Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination. CoRR (2021)
Jongmin Yu, Minkyung Kim, Hyeontaek Oh, Jinhong Yang
Real-Time Abnormal Insider Event Detection on Enterprise Resource Planning Systems via Predictive Auto-Regression Model. IEEE Access 9 (2021)
Jongmin Yu, Du Yong Kim, Yongsang Yoon, Moongu Jeon
Action matching network: open-set action recognition using spatio-temporal representation matching. Vis. Comput. 36 (7) (2020)
Jongmin Yu, Yongsang Yoon, Moongu Jeon
Predictively Encoded Graph Convolutional Network for Noise-Robust Skeleton-based Action Recognition. CoRR (2020)
Younkwan Lee, Jihyo Jeon, Jongmin Yu, Moongu Jeon
Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles. IV (2020)
Jongmin Yu, Du Yong Kim, Younkwon Lee, Moongu Jeon
Unsupervised Pixel-level Road Defect Detection via Adversarial Image-to-Frequency Transform. CoRR (2020)
Younkwan Lee, Jihyo Jeon, Jongmin Yu, Moongu Jeon
Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles. CoRR (2020)
Jongmin Yu, Hyeontaek Oh
Boosting Network Weight Separability via Feed-Backward Reconstruction. IEEE Access 8 (2020)
Jongmin Yu, Mindy L. Mallory
Carbon price interaction between allocated permits and generated offsets. Oper. Res. 20 (2) (2020)
Jongmin Yu, Du Yong Kim, Younkwan Lee, Moongu Jeon
Unsupervised Pixel-level Road Defect Detection via Adversarial Image-to-Frequency Transform. IV (2020)
Tran Thien Dat Nguyen, Jongmin Yu
RTS Smoother for GLMB filter. ICCAIS (2019)
Jongmin Yu, Sangwoo Park, Sangwook Lee, Moongu Jeon
Drivers Drowsiness Detection using Condition-Adaptive Representation Learning Framework. CoRR (2019)
Jongmin Yu, Younkwan Lee, Moongu Jeon
Boosting Network Weight Separability via Feed-Backward Reconstruction. CoRR (2019)
Jongmin Yu
Boosting Mapping Functionality of Neural Networks via Latent Feature Generation based on Reversible Learning. CoRR (2019)
Yongsang Yoon, Jongmin Yu, Moongu Jeon
Spatio-Temporal Feature Extraction and Distance Metric Learning for Unconstrained Action Recognition. AVSS (2019)
Yongsang Yoon, Jongmin Yu, Moongu Jeon
Spatio-Temporal Representation Matching-Based Open-Set Action Recognition by Joint Learning of Motion and Appearance. IEEE Access 7 (2019)
Jongmin Yu, Sangwoo Park, Sangwook Lee, Moongu Jeon
Driver Drowsiness Detection Using Condition-Adaptive Representation Learning Framework. IEEE Trans. Intell. Transp. Syst. 20 (11) (2019)
Donghwuy Ko, Jongmin Yu, Ahmad Muqeem Sheri, Moongu Jeon
Unconstrained Face Verification and Open-World Person Re-identification via Densely-connected Convolution Neural Network. VISIGRAPP (5: VISAPP) (2019)
Jongmin Yu, Kin Choong Yow, Moongu Jeon
Joint representation learning of appearance and motion for abnormal event detection. Mach. Vis. Appl. 29 (7) (2018)
Jongmin Yu, Duyoung Kim, Moongu Jeon
Parasitic Network: Learning-Based Network Downsizing of Very Deep Neural Networks for Computer Vision. ICCAIS (2018)
Jongmin Yu, Donghwuy Ko, Hangyul Moon, Moongu Jeon
Deep Discriminative Representation Learning for Face Verification and Person Re-Identification on Unconstrained Condition. ICIP (2018)
Sangwoo Park, Jongmin Yu, Moongu Jeon
Learning Feature Representation for Face Verification. AVSS (2017)
Younkwan Lee, Jongmin Yu, Moongu Jeon
Automatic part localization using 3D cuboid box for vehicle subcategory recognition. ICCAIS (2017)
Jongmin Yu, Sangwoo Park, Sangwook Lee, Moongu Jeon
Representation Learning, Scene Understanding, and Feature Fusion for Drowsiness Detection. ACCV Workshops (3) (2016)
Hae-Rim Shin, Jeonghwan Gwak, Jongmin Yu, Moongu Jeon
Feature flow-based abnormal event detection using a scene-adaptive cuboid determination method. ICCAIS (2016)
Jongmin Yu, Jeonghwan Gwak, SeongJong Noh, Moongu Jeon
Abnormal Event Detection using Scene Partitioning by Regional Activity Pattern Analysis. VISIGRAPP (3: VISAPP) (2016)
Jongmin Yu, Jeonghwan Gwak, Moongu Jeon
Gaussian-Poisson mixture model for anomaly detection of crowd behaviour. ICCAIS (2016)
Jongmin Yu, Jeonghwan Gwak, Sejeong Lee, Moongu Jeon
An incremental learning approach for restricted boltzmann machines. ICCAIS (2015)
Jongmin Yu, Taegyun Jeon, Moongu Jeon
Heart Beat Detection Method with Estimation of Regular Intervals between ECG and Blood Pressure. CinC (2014)
Young-Min Song, SeungJong Noh, Jongmin Yu, Cheonwi Park, Byung-Geun Lee
Background subtraction based on Gaussian mixture models using color and depth information. ICCAIS (2014)