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Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination


Oct 28, 2021
Jongmin Yu, Hyeontaek Oh, Minkyung Kim, Junsik Kim

* Accepted for NeurIPS 2021 Workshop DGMs Applications 

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Camera-Tracklet-Aware Contrastive Learning for Unsupervised Vehicle Re-Identification


Sep 14, 2021
Jongmin Yu, Junsik Kim, Minkyung Kim, Hyeontaek Oh

* Under review 

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Unsupervised Person Re-identification via Multi-Label Prediction and Classification based on Graph-Structural Insight


Jun 16, 2021
Jongmin Yu, Hyeontaek Oh

* submitted to ICCV 

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Unsupervised Vehicle Re-Identification via Self-supervised Metric Learning using Feature Dictionary


Mar 03, 2021
Jongmin Yu, Hyeontaek Oh

* Under review 

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Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles


Apr 03, 2020
Younkwan Lee, Jihyo Jeon, Jongmin Yu, Moongu Jeon

* Accepted to IV 2020 

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Predictively Encoded Graph Convolutional Network for Noise-Robust Skeleton-based Action Recognition


Mar 17, 2020
Jongmin Yu, Yongsang Yoon, Moongu Jeon

* Submitted to ECCV 2020 

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Unsupervised Pixel-level Road Defect Detection via Adversarial Image-to-Frequency Transform


Feb 03, 2020
Jongmin Yu, Duyong Kim, Younkwan Lee, Moongu Jeon

* Submitted to IV2020 

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Drivers Drowsiness Detection using Condition-Adaptive Representation Learning Framework


Oct 22, 2019
Jongmin Yu, Sangwoo Park, Sangwook Lee, Moongu Jeon

* IEEE Transactions on Intelligent Transportation Systems publication information (2018) 

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Boosting Mapping Functionality of Neural Networks via Latent Feature Generation based on Reversible Learning


Oct 21, 2019
Jongmin Yu

* 9 pages, 5 figures, have been submitted to NeurIPS 2019 

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Boosting Network Weight Separability via Feed-Backward Reconstruction


Oct 20, 2019
Jongmin Yu, Younkwan Lee, Moongu Jeon

* 8 pages, 6 figures 

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