Jongmin Yu - RankMe

67 papers A* 3A 1B 3C 2Journal 40Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AlphaFace: High Fidelity and Real-time Face Swapper Robust to Facial Pose. CoRR Jongmin Yu, Hyeontaek Oh, Zhongtian Sun, Angelica I. Avilés-Rivero, Moongu Jeon, Jinhong Yang
2026	J	`jnl`	Normality-calibrated autoencoder for unsupervised anomaly detection on data contamination. Neurocomputing Jongmin Yu, Minkyung Kim, Junsik Kim, Hyeontaek Oh
2025	—	`conf`	Advanced Hypergraph Mining for Web Applications Using Sphere Neural Networks. WWW (Companion Volume) Zhongtian Sun, Anoushka Harit, Jongmin Yu, Jingyun Wang, Pietro Liò
2025	—	`conf`	Adversarially Domain-adaptive Latent Diffusion for Unsupervised Semantic Segmentation. CVPR Workshops Jongmin Yu, Zhongtian Sun, Chen Bene Chi, Jinhong Yang, Shan Luo
2025	—	`conf`	From News to Returns: A Granger-Causal Hypergraph Transformer on the Sphere. ICAIF Anoushka Harit, Zhongtian Sun, Jongmin Yu
2025	J	`jnl`	From News to Returns: A Granger-Causal Hypergraph Transformer on the Sphere. CoRR Anoushka Harit, Zhongtian Sun, Jongmin Yu
2025	—	`conf`	Quantifying Semantic Shift in Financial NLP: Robust Metrics for Market Prediction Stability. ICAIF Zhongtian Sun, Chenghao Xiao, Anoushka Harit, Jongmin Yu
2025	J	`jnl`	Real-Time, High-Fidelity Face Identity Swapping With a Vision Foundation Model. IEEE Access Jongmin Yu, Hyeontaek Oh, Zhongtian Sun, Younkwan Lee, Jinhong Yang
2025	J	`jnl`	Subject-Specific High-Fidelity Identity-Aware Face Swapping Model. IEEE Access Hyeontaek Oh, Jongmin Yu, Jangwon Lee, Jinhong Yang
2024	J	`jnl`	Adversarial Diffusion Model for Unsupervised Domain-Adaptive Semantic Segmentation. CoRR Jongmin Yu, Zhongtian Sun, Shan Luo
2024	J	`jnl`	An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination. IEEE Trans. Neural Networks Learn. Syst. Minkyung Kim, Jongmin Yu, Junsik Kim, Tae-Hyun Oh, Jun Kyun Choi
2024	—	`conf`	Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphs. NLP4KGC@SEMANTiCS Anoushka Harit, Zhongtian Sun, Jongmin Yu, Noura Al Moubayed
2024	J	`jnl`	Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphs. CoRR Anoushka Harit, Zhongtian Sun, Jongmin Yu, Noura Al Moubayed
2024	J	`jnl`	Denoising diffusion model with adversarial learning for unsupervised anomaly detection on brain MRI images. Pattern Recognit. Lett. Jongmin Yu, Hyeontaek Oh, Younkwan Lee, Jinhong Yang
2024	A*	`conf`	Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing. ICRA Jongmin Yu, Chen Bene Chi, Sebastiano Fichera, Paolo Paoletti, Devansh Mehta, Shan Luo
2024	J	`jnl`	Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing. CoRR Jongmin Yu, Chen Bene Chi, Sebastiano Fichera, Paolo Paoletti, Devansh Mehta, Shan Luo
2024	J	`jnl`	Road Surface Defect Detection - From Image-Based to Non-Image-Based: A Survey. IEEE Trans. Intell. Transp. Syst. Jongmin Yu, Jiaqi Jiang, Sebastiano Fichera, Paolo Paoletti, Lisa Layzell, Devansh Mehta, Shan Luo
2024	J	`jnl`	Road Surface Defect Detection - From Image-based to Non-image-based: A Survey. CoRR Jongmin Yu, Jiaqi Jiang, Sebastiano Fichera, Paolo Paoletti, Lisa Layzell, Devansh Mehta, Shan Luo
2024	J	`jnl`	Weakly Supervised Contrastive Learning for Unsupervised Vehicle Reidentification. IEEE Trans. Neural Networks Learn. Syst. Jongmin Yu, Hyeontaek Oh, Minkyung Kim, Junsik Kim
2023	J	`jnl`	Active anomaly detection based on deep one-class classification. CoRR Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi
2023	J	`jnl`	Active anomaly detection based on deep one-class classification. Pattern Recognit. Lett. Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi
2023	J	`jnl`	Adversarial Denoising Diffusion Model for Unsupervised Anomaly Detection. CoRR Jongmin Yu, Hyeontaek Oh, Jinhong Yang
2023	J	`jnl`	An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination. CoRR Minkyung Kim, Jongmin Yu, Junsik Kim, Tae-Hyun Oh, Jun Kyun Choi
2023	A*	`conf`	Multi-source Domain Adaptation for Unsupervised Road Defect Segmentation. ICRA Jongmin Yu, Hyeontaek Oh, Sebastiano Fichera, Paolo Paoletti, Shan Luo
2023	J	`jnl`	Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics. CoRR Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi
2022	—	`conf`	A federated binarized neural network model for constrained devices in IoT healthcare services. ICAIIC Hyeontaek Oh, Jongmin Yu, Nakyoung Kim, Dongyeong Kim, Jangwon Lee, Jinhong Yang
2022	J	`jnl`	Abnormal Event Detection and Localization via Adversarial Event Prediction. IEEE Trans. Neural Networks Learn. Syst. Jongmin Yu, Younkwan Lee, Kin Choong Yow, Moongu Jeon, Witold Pedrycz
2022	J	`jnl`	Abnormal event detection using adversarial predictive coding for motion and appearance. Inf. Sci. Jongmin Yu, Jung-Gyun Kim, Jeonghwan Gwak, Byung-Geun Lee, Moongu Jeon
2022	A*	`conf`	Camera-Tracklet-Aware Contrastive Learning for Unsupervised Vehicle Re-Identification. ICRA Jongmin Yu, Junsik Kim, Minkyung Kim, Hyeontaek Oh
2022	J	`jnl`	Graph-structure based multi-label prediction and classification for unsupervised person re-identification. Appl. Intell. Jongmin Yu, Hyeontaek Oh
2022	J	`jnl`	Predictively encoded graph convolutional network for noise-robust skeleton-based action recognition. Appl. Intell. Yongsang Yoon, Jongmin Yu, Moongu Jeon
2022	—	`conf`	Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics. ICDM (Workshops) Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi
2022	J	`jnl`	Unusual Insider Behavior Detection Framework on Enterprise Resource Planning Systems Using Adversarial Recurrent Autoencoder. IEEE Trans. Ind. Informatics Jongmin Yu, Hyeontaek Oh, Minkyung Kim, Sehun Jung
2021	J	`jnl`	Camera-Tracklet-Aware Contrastive Learning for Unsupervised Vehicle Re-Identification. CoRR Jongmin Yu, Junsik Kim, Minkyung Kim, Hyeontaek Oh
2021	J	`jnl`	Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination. CoRR Jongmin Yu, Hyeontaek Oh, Minkyung Kim, Junsik Kim
2021	J	`jnl`	Real-Time Abnormal Insider Event Detection on Enterprise Resource Planning Systems via Predictive Auto-Regression Model. IEEE Access Jongmin Yu, Minkyung Kim, Hyeontaek Oh, Jinhong Yang
2021	J	`jnl`	Unsupervised Person Re-identification via Multi-Label Prediction and Classification based on Graph-Structural Insight. CoRR Jongmin Yu, Hyeontaek Oh
2021	A	`conf`	Unsupervised Vehicle Re-Identification via Self-supervised Metric Learning using Feature Dictionary. IROS Jongmin Yu, Hyeontaek Oh
2021	J	`jnl`	Unsupervised Vehicle Re-Identification via Self-supervised Metric Learning using Feature Dictionary. CoRR Jongmin Yu, Hyeontaek Oh
2020	J	`jnl`	Action matching network: open-set action recognition using spatio-temporal representation matching. Vis. Comput. Jongmin Yu, Du Yong Kim, Yongsang Yoon, Moongu Jeon
2020	J	`jnl`	Boosting Network Weight Separability via Feed-Backward Reconstruction. IEEE Access Jongmin Yu, Hyeontaek Oh
2020	J	`jnl`	Carbon price interaction between allocated permits and generated offsets. Oper. Res. Jongmin Yu, Mindy L. Mallory
2020	C	`conf`	Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles. IV Younkwan Lee, Jihyo Jeon, Jongmin Yu, Moongu Jeon
2020	J	`jnl`	Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles. CoRR Younkwan Lee, Jihyo Jeon, Jongmin Yu, Moongu Jeon
2020	J	`jnl`	Predictively Encoded Graph Convolutional Network for Noise-Robust Skeleton-based Action Recognition. CoRR Jongmin Yu, Yongsang Yoon, Moongu Jeon
2020	C	`conf`	Unsupervised Pixel-level Road Defect Detection via Adversarial Image-to-Frequency Transform. IV Jongmin Yu, Du Yong Kim, Younkwan Lee, Moongu Jeon
2020	J	`jnl`	Unsupervised Pixel-level Road Defect Detection via Adversarial Image-to-Frequency Transform. CoRR Jongmin Yu, Du Yong Kim, Younkwan Lee, Moongu Jeon
2019	J	`jnl`	Boosting Mapping Functionality of Neural Networks via Latent Feature Generation based on Reversible Learning. CoRR Jongmin Yu
2019	J	`jnl`	Boosting Network Weight Separability via Feed-Backward Reconstruction. CoRR Jongmin Yu, Younkwan Lee, Moongu Jeon
2019	J	`jnl`	Driver Drowsiness Detection Using Condition-Adaptive Representation Learning Framework. IEEE Trans. Intell. Transp. Syst. Jongmin Yu, Sangwoo Park, Sangwook Lee, Moongu Jeon
2019	J	`jnl`	Drivers Drowsiness Detection using Condition-Adaptive Representation Learning Framework. CoRR Jongmin Yu, Sangwoo Park, Sangwook Lee, Moongu Jeon
2019	—	`conf`	RTS Smoother for GLMB filter. ICCAIS Tran Thien Dat Nguyen, Jongmin Yu
2019	B	`conf`	Spatio-Temporal Feature Extraction and Distance Metric Learning for Unconstrained Action Recognition. AVSS Yongsang Yoon, Jongmin Yu, Moongu Jeon
2019	J	`jnl`	Spatio-Temporal Representation Matching-Based Open-Set Action Recognition by Joint Learning of Motion and Appearance. IEEE Access Yongsang Yoon, Jongmin Yu, Moongu Jeon
2019	—	`conf`	Unconstrained Face Verification and Open-World Person Re-identification via Densely-connected Convolution Neural Network. VISIGRAPP (5: VISAPP) Donghwuy Ko, Jongmin Yu, Ahmad Muqeem Sheri, Moongu Jeon
2018	B	`conf`	Deep Discriminative Representation Learning for Face Verification and Person Re-Identification on Unconstrained Condition. ICIP Jongmin Yu, Donghwuy Ko, Hangyul Moon, Moongu Jeon
2018	J	`jnl`	Joint representation learning of appearance and motion for abnormal event detection. Mach. Vis. Appl. Jongmin Yu, Kin Choong Yow, Moongu Jeon
2018	—	`conf`	Parasitic Network: Learning-Based Network Downsizing of Very Deep Neural Networks for Computer Vision. ICCAIS Jongmin Yu, Duyoung Kim, Moongu Jeon
2017	—	`conf`	Automatic part localization using 3D cuboid box for vehicle subcategory recognition. ICCAIS Younkwan Lee, Jongmin Yu, Moongu Jeon
2017	B	`conf`	Learning Feature Representation for Face Verification. AVSS Sangwoo Park, Jongmin Yu, Moongu Jeon
2016	—	`conf`	Abnormal Event Detection using Scene Partitioning by Regional Activity Pattern Analysis. VISIGRAPP (3: VISAPP) Jongmin Yu, Jeonghwan Gwak, SeongJong Noh, Moongu Jeon
2016	—	`conf`	Feature flow-based abnormal event detection using a scene-adaptive cuboid determination method. ICCAIS Hae-Rim Shin, Jeonghwan Gwak, Jongmin Yu, Moongu Jeon
2016	—	`conf`	Gaussian-Poisson mixture model for anomaly detection of crowd behaviour. ICCAIS Jongmin Yu, Jeonghwan Gwak, Moongu Jeon
2016	—	`conf`	Representation Learning, Scene Understanding, and Feature Fusion for Drowsiness Detection. ACCV Workshops (3) Jongmin Yu, Sangwoo Park, Sangwook Lee, Moongu Jeon
2015	—	`conf`	An incremental learning approach for restricted boltzmann machines. ICCAIS Jongmin Yu, Jeonghwan Gwak, Sejeong Lee, Moongu Jeon
2014	—	`conf`	Background subtraction based on Gaussian mixture models using color and depth information. ICCAIS Young-min Song, Seungjong Noh, Jongmin Yu, Cheonwi Park, Byung-Geun Lee
2014	—	`conf`	Heart Beat Detection Method with Estimation of Regular Intervals between ECG and Blood Pressure. CinC Jongmin Yu, Taegyun Jeon, Moongu Jeon