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Jongmin Yu
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2020 – today
- 2024
- [j14]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. IEEE Trans. Intell. Transp. Syst. 25(9): 10581-10603 (2024) - [c22]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: 16409-16416 - [i17]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 abs/2402.04064 (2024) - [i16]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 abs/2402.04297 (2024) - [i15]Anoushka Harit, Zhongtian Sun, Jongmin Yu, Noura Al Moubayed:
Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphs. CoRR abs/2409.00438 (2024) - 2023
- [j13]Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi:
Active anomaly detection based on deep one-class classification. Pattern Recognit. Lett. 167: 18-24 (2023) - [c21]Jongmin Yu, Hyeontaek Oh, Sebastiano Fichera, Paolo Paoletti, Shan Luo:
Multi-source Domain Adaptation for Unsupervised Road Defect Segmentation. ICRA 2023: 5638-5644 - [i14]Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi:
Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics. CoRR abs/2302.06048 (2023) - [i13]Minkyung Kim, Jongmin Yu, Junsik Kim, Tae-Hyun Oh, Jun Kyun Choi:
An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination. CoRR abs/2309.09436 (2023) - [i12]Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi:
Active anomaly detection based on deep one-class classification. CoRR abs/2309.09465 (2023) - [i11]Jongmin Yu, Hyeontaek Oh, Jinhong Yang:
Adversarial Denoising Diffusion Model for Unsupervised Anomaly Detection. CoRR abs/2312.04382 (2023) - 2022
- [j12]Yongsang Yoon, Jongmin Yu, Moongu Jeon:
Predictively encoded graph convolutional network for noise-robust skeleton-based action recognition. Appl. Intell. 52(3): 2317-2331 (2022) - [j11]Jongmin Yu, Hyeontaek Oh:
Graph-structure based multi-label prediction and classification for unsupervised person re-identification. Appl. Intell. 52(12): 14281-14293 (2022) - [j10]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: 59-73 (2022) - [j9]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): 1541-1551 (2022) - [j8]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): 3572-3586 (2022) - [c20]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: 241-245 - [c19]Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi:
Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics. ICDM (Workshops) 2022: 39-46 - [c18]Jongmin Yu, Junsik Kim, Minkyung Kim, Hyeontaek Oh:
Camera-Tracklet-Aware Contrastive Learning for Unsupervised Vehicle Re-Identification. ICRA 2022: 905-911 - 2021
- [j7]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: 62276-62284 (2021) - [c17]Jongmin Yu, Hyeontaek Oh:
Unsupervised Vehicle Re-Identification via Self-supervised Metric Learning using Feature Dictionary. IROS 2021: 3806-3813 - [i10]Jongmin Yu, Hyeontaek Oh:
Unsupervised Vehicle Re-Identification via Self-supervised Metric Learning using Feature Dictionary. CoRR abs/2103.02250 (2021) - [i9]Jongmin Yu, Hyeontaek Oh:
Unsupervised Person Re-identification via Multi-Label Prediction and Classification based on Graph-Structural Insight. CoRR abs/2106.08798 (2021) - [i8]Jongmin Yu, Junsik Kim, Minkyung Kim, Hyeontaek Oh:
Camera-Tracklet-Aware Contrastive Learning for Unsupervised Vehicle Re-Identification. CoRR abs/2109.06401 (2021) - [i7]Jongmin Yu, Hyeontaek Oh, Minkyung Kim, Junsik Kim:
Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination. CoRR abs/2110.14825 (2021) - 2020
- [j6]Jongmin Yu, Hyeontaek Oh:
Boosting Network Weight Separability via Feed-Backward Reconstruction. IEEE Access 8: 214923-214931 (2020) - [j5]Jongmin Yu, Mindy L. Mallory:
Carbon price interaction between allocated permits and generated offsets. Oper. Res. 20(2): 671-700 (2020) - [j4]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): 1457-1471 (2020) - [c16]Younkwan Lee, Jihyo Jeon, Jongmin Yu, Moongu Jeon:
Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles. IV 2020: 723-730 - [c15]Jongmin Yu, Du Yong Kim, Younkwan Lee, Moongu Jeon:
Unsupervised Pixel-level Road Defect Detection via Adversarial Image-to-Frequency Transform. IV 2020: 1708-1713 - [i6]Jongmin Yu, Du Yong Kim, Younkwan Lee, Moongu Jeon:
Unsupervised Pixel-level Road Defect Detection via Adversarial Image-to-Frequency Transform. CoRR abs/2001.11175 (2020) - [i5]Jongmin Yu, Yongsang Yoon, Moongu Jeon:
Predictively Encoded Graph Convolutional Network for Noise-Robust Skeleton-based Action Recognition. CoRR abs/2003.07514 (2020) - [i4]Younkwan Lee, Jihyo Jeon, Jongmin Yu, Moongu Jeon:
Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles. CoRR abs/2004.01351 (2020)
2010 – 2019
- 2019
- [j3]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: 165997-166010 (2019) - [j2]Jongmin Yu, Sangwoo Park, Sangwook Lee, Moongu Jeon:
Driver Drowsiness Detection Using Condition-Adaptive Representation Learning Framework. IEEE Trans. Intell. Transp. Syst. 20(11): 4206-4218 (2019) - [c14]Yongsang Yoon, Jongmin Yu, Moongu Jeon:
Spatio-Temporal Feature Extraction and Distance Metric Learning for Unconstrained Action Recognition. AVSS 2019: 1-8 - [c13]Tran Thien Dat Nguyen, Jongmin Yu:
RTS Smoother for GLMB filter. ICCAIS 2019: 1-6 - [c12]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: 443-449 - [i3]Jongmin Yu, Younkwan Lee, Moongu Jeon:
Boosting Network Weight Separability via Feed-Backward Reconstruction. CoRR abs/1910.09024 (2019) - [i2]Jongmin Yu:
Boosting Mapping Functionality of Neural Networks via Latent Feature Generation based on Reversible Learning. CoRR abs/1910.09108 (2019) - [i1]Jongmin Yu, Sangwoo Park, Sangwook Lee, Moongu Jeon:
Drivers Drowsiness Detection using Condition-Adaptive Representation Learning Framework. CoRR abs/1910.09722 (2019) - 2018
- [j1]Jongmin Yu, Kin Choong Yow, Moongu Jeon:
Joint representation learning of appearance and motion for abnormal event detection. Mach. Vis. Appl. 29(7): 1157-1170 (2018) - [c11]Jongmin Yu, Duyoung Kim, Moongu Jeon:
Parasitic Network: Learning-Based Network Downsizing of Very Deep Neural Networks for Computer Vision. ICCAIS 2018: 378-383 - [c10]Jongmin Yu, Donghwuy Ko, Hangyul Moon, Moongu Jeon:
Deep Discriminative Representation Learning for Face Verification and Person Re-Identification on Unconstrained Condition. ICIP 2018: 1658-1662 - 2017
- [c9]Sangwoo Park, Jongmin Yu, Moongu Jeon:
Learning Feature Representation for Face Verification. AVSS 2017: 1-6 - [c8]Younkwan Lee, Jongmin Yu, Moongu Jeon:
Automatic part localization using 3D cuboid box for vehicle subcategory recognition. ICCAIS 2017: 175-180 - 2016
- [c7]Jongmin Yu, Sangwoo Park, Sangwook Lee, Moongu Jeon:
Representation Learning, Scene Understanding, and Feature Fusion for Drowsiness Detection. ACCV Workshops (3) 2016: 165-177 - [c6]Jongmin Yu, Jeonghwan Gwak, Moongu Jeon:
Gaussian-Poisson mixture model for anomaly detection of crowd behaviour. ICCAIS 2016: 106-111 - [c5]Hae-Rim Shin, Jeonghwan Gwak, Jongmin Yu, Moongu Jeon:
Feature flow-based abnormal event detection using a scene-adaptive cuboid determination method. ICCAIS 2016: 205-209 - [c4]Jongmin Yu, Jeonghwan Gwak, SeongJong Noh, Moongu Jeon:
Abnormal Event Detection using Scene Partitioning by Regional Activity Pattern Analysis. VISIGRAPP (3: VISAPP) 2016: 636-643 - 2015
- [c3]Jongmin Yu, Jeonghwan Gwak, Sejeong Lee, Moongu Jeon:
An incremental learning approach for restricted boltzmann machines. ICCAIS 2015: 113-117 - 2014
- [c2]Jongmin Yu, Taegyun Jeon, Moongu Jeon:
Heart Beat Detection Method with Estimation of Regular Intervals between ECG and Blood Pressure. CinC 2014: 561-564 - [c1]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: 132-135
Coauthor Index
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last updated on 2024-10-07 01:24 CEST by the dblp team
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