Jaewoo Park

My research focuses on anomaly detection, particularly the theoretically principled bottlenecks in distinguishing anomalies from normal data and the scalability of detection algorithms as training data grows. In addition, I investigate how the foundational priors captured in modern generative and language models—such as diffusion models and LLMs—can be leveraged to extend anomaly detection across diverse application domains.

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selected publications

ICML

Memory-Distilled Selection for Noise-Robust Anomaly Detection

Sirojbek Safarov^*, Jaewoo Park^*†‡, Yoon Gyo Jung^*, and 4 more authors

In International Conference on Machine Learning (ICML), 2026

arXiv Bib

@inproceedings{safarov2026memory,
  title = {Memory-Distilled Selection for Noise-Robust Anomaly Detection},
  author = {Safarov, Sirojbek and Park, Jaewoo and Jung, Yoon Gyo and Peng, Kuan-Chuan and Kim, Wonchul and Bang, Seongdeok and Camps, Octavia},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
}

ECCV

Dual-Margin Embedding for Fine-Grained Long-Tailed Plant Taxonomy

Cheng-Yaw Low, Heejoon Koo, Jaewoo Park, and 1 more author

In European Conference on Computer Vision (ECCV), 2026

arXiv Bib

@inproceedings{low2026dualmargin,
  title = {Dual-Margin Embedding for Fine-Grained Long-Tailed Plant Taxonomy},
  author = {Low, Cheng-Yaw and Koo, Heejoon and Park, Jaewoo and Cha, Meeyoung},
  booktitle = {European Conference on Computer Vision (ECCV)},
  year = {2026},
}

CVPR

TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection

Yoon Gyo Jung^*, Jaewoo Park^*‡, Jaeho Yoon^*, and 4 more authors

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025

arXiv Bib

@inproceedings{jung2025tailedcore,
  title = {TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection},
  author = {Jung, Yoon Gyo and Park, Jaewoo and Yoon, Jaeho and Peng, Kuan-Chuan and Kim, Wonchul and Teoh, Andrew Beng Jin and Camps, Octavia},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
}

Understanding Open-Set Recognition by Jacobian Norm and Inter-Class Separation

Jaewoo Park, Hojin Park, Eunju Jeong, and 1 more author

Pattern Recognition, 2024

arXiv Bib

@article{park2024jacobian,
  title = {Understanding Open-Set Recognition by Jacobian Norm and Inter-Class Separation},
  author = {Park, Jaewoo and Park, Hojin and Jeong, Eunju and Teoh, Andrew Beng Jin},
  journal = {Pattern Recognition},
  volume = {145},
  pages = {109942},
  year = {2024},
}

ECCV

Face Reconstruction Transfer Attack as Out-of-Distribution Generalization

Yoon Gyo Jung^*, Jaewoo Park^*, Xingbo Dong, and 3 more authors

In European Conference on Computer Vision (ECCV), 2024

arXiv Bib

@inproceedings{jung2024facerecon,
  title = {Face Reconstruction Transfer Attack as Out-of-Distribution Generalization},
  author = {Jung, Yoon Gyo and Park, Jaewoo and Dong, Xingbo and Park, Hojin and Teoh, Andrew Beng Jin and Camps, Octavia},
  booktitle = {European Conference on Computer Vision (ECCV)},
  pages = {396--413},
  year = {2024},
}

JKSU

On the Security Risk of Pre-image Attack on Cancelable Biometrics

Xingbo Dong, Jaewoo Park, Zhe Jin, and 3 more authors

Journal of King Saud University - Computer and Information Sciences, 2024

DOI Bib

@article{dong2024preimage,
  title = {On the Security Risk of Pre-image Attack on Cancelable Biometrics},
  author = {Dong, Xingbo and Park, Jaewoo and Jin, Zhe and Teoh, Andrew Beng Jin and Tistarelli, Massimo and Wong, Koksheik},
  journal = {Journal of King Saud University - Computer and Information Sciences},
  volume = {36},
  number = {5},
  pages = {102060},
  year = {2024},
  doi = {10.1016/j.jksuci.2024.102060},
}

MTAP

Cancellable Biometrics based on the Index-of-Maximum Hashing with Random Sparse Binary Encoding

Jihyeon Kim, Jaewoo Park, Cheng-Yaw Low, and 1 more author

Multimedia Tools and Applications, 2024

DOI Bib

@article{kim2024cancellable,
  title = {Cancellable Biometrics based on the Index-of-Maximum Hashing with Random Sparse Binary Encoding},
  author = {Kim, Jihyeon and Park, Jaewoo and Low, Cheng-Yaw and Teoh, Andrew Beng Jin},
  journal = {Multimedia Tools and Applications},
  volume = {83},
  number = {21},
  pages = {59915--59942},
  year = {2024},
  doi = {10.1007/s11042-023-17711-w},
}

Neurocomputing

Periocular Embedding Learning with Consistent Knowledge Distillation from Face

Yoon Gyo Jung^*, Jaewoo Park^*, Cheng-Yaw Low, and 3 more authors

Neurocomputing, 2024

arXiv Bib

@article{jung2024periocularkd,
  title = {Periocular Embedding Learning with Consistent Knowledge Distillation from Face},
  author = {Jung, Yoon Gyo and Park, Jaewoo and Low, Cheng-Yaw and Chai, Jacky Chen Long and Tiong, Leslie Ching Ow and Teoh, Andrew Beng Jin},
  journal = {Neurocomputing},
  volume = {575},
  pages = {127263},
  year = {2024},
}

Appl. Sci.

CoreTemp: Coreset Sampled Templates for Multimodal Mobile Biometrics

Jaeho Yoon, Jaewoo Park, Jungyun Kim, and 1 more author

Applied Sciences, 2024

DOI Bib

@article{yoon2024coretemp,
  title = {CoreTemp: Coreset Sampled Templates for Multimodal Mobile Biometrics},
  author = {Yoon, Jaeho and Park, Jaewoo and Kim, Jungyun and Teoh, Andrew Beng Jin},
  journal = {Applied Sciences},
  volume = {14},
  number = {12},
  pages = {5183},
  year = {2024},
  doi = {10.3390/app14125183},
}

arXiv

Background-Aware Defect Generation for Robust Industrial Anomaly Detection

Youngjae Cho, Gwangyeol Kim, Sirojbek Safarov, and 2 more authors

arXiv preprint arXiv:2411.16767, 2024

arXiv Bib

@article{cho2024background,
  title = {Background-Aware Defect Generation for Robust Industrial Anomaly Detection},
  author = {Cho, Youngjae and Kim, Gwangyeol and Safarov, Sirojbek and Bang, Seongdeok and Park, Jaewoo},
  journal = {arXiv preprint arXiv:2411.16767},
  year = {2024},
}

ICCV

Nearest Neighbor Guidance for Out-of-Distribution Detection

Jaewoo Park^*, Yoon Gyo Jung^*, and Andrew Beng Jin Teoh

In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023

arXiv Bib

@inproceedings{park2023nnguide,
  title = {Nearest Neighbor Guidance for Out-of-Distribution Detection},
  author = {Park, Jaewoo and Jung, Yoon Gyo and Teoh, Andrew Beng Jin},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  pages = {1686--1695},
  year = {2023},
}

ICCV

Understanding the Feature Norm for Out-of-Distribution Detection

Jaewoo Park, Jacky Chen Long Chai, Jaeho Yoon, and 1 more author

In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023

arXiv Bib

@inproceedings{park2023featurenorm,
  title = {Understanding the Feature Norm for Out-of-Distribution Detection},
  author = {Park, Jaewoo and Chai, Jacky Chen Long and Yoon, Jaeho and Teoh, Andrew Beng Jin},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2023},
}

CVPR

Recognizability Embedding Enhancement for Very Low-Resolution Face Recognition and Quality Estimation

Jacky Chen Long Chai, Tiong-Sik Ng, Cheng-Yaw Low, and 2 more authors

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

arXiv Bib

@inproceedings{chai2023recognizability,
  title = {Recognizability Embedding Enhancement for Very Low-Resolution Face Recognition and Quality Estimation},
  author = {Chai, Jacky Chen Long and Ng, Tiong-Sik and Low, Cheng-Yaw and Park, Jaewoo and Teoh, Andrew Beng Jin},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
}

ACM MM

Pretrained Implicit-Ensemble Transformer for Open-Set Authentication on Multimodal Mobile Biometrics

Jaeho Yoon^*, Jaewoo Park^*, Kensuke Wagata, and 2 more authors

In Proceedings of the 31st ACM International Conference on Multimedia (ACM MM), 2023

DOI Bib

@inproceedings{yoon2023transformer,
  title = {Pretrained Implicit-Ensemble Transformer for Open-Set Authentication on Multimodal Mobile Biometrics},
  author = {Yoon, Jaeho and Park, Jaewoo and Wagata, Kensuke and Park, Hojin and Teoh, Andrew Beng Jin},
  booktitle = {Proceedings of the 31st ACM International Conference on Multimedia (ACM MM)},
  pages = {5909--5922},
  year = {2023},
  doi = {10.1145/3581783.3612467},
}

ICIP

Towards Query Efficient and Generalizable Black-Box Face Reconstruction Attack

Hojin Park, Jaewoo Park, Xingbo Dong, and 1 more author

In IEEE International Conference on Image Processing (ICIP), 2023

Bib HTML Code

@inproceedings{park2023blackbox,
  title = {Towards Query Efficient and Generalizable Black-Box Face Reconstruction Attack},
  author = {Park, Hojin and Park, Jaewoo and Dong, Xingbo and Teoh, Andrew Beng Jin},
  booktitle = {IEEE International Conference on Image Processing (ICIP)},
  pages = {1060--1064},
  year = {2023},
}

BMVC

SlackedFace: Learning a Slacked Margin for Low-Resolution Face Recognition

Cheng-Yaw Low, Jacky Chen Long Chai, Jaewoo Park, and 2 more authors

In British Machine Vision Conference (BMVC), 2023

Bib HTML

@inproceedings{low2023slackedface,
  title = {SlackedFace: Learning a Slacked Margin for Low-Resolution Face Recognition},
  author = {Low, Cheng-Yaw and Chai, Jacky Chen Long and Park, Jaewoo and An, Kyeongjin and Cha, Meeyoung},
  booktitle = {British Machine Vision Conference (BMVC)},
  year = {2023},
}

ICPR

Open-Set Face Identification on Few-Shot Gallery by Fine-Tuning

Hojin Park, Jaewoo Park, and Andrew Beng Jin Teoh

In International Conference on Pattern Recognition (ICPR), 2022

arXiv Bib

@inproceedings{park2022openset,
  title = {Open-Set Face Identification on Few-Shot Gallery by Fine-Tuning},
  author = {Park, Hojin and Park, Jaewoo and Teoh, Andrew Beng Jin},
  booktitle = {International Conference on Pattern Recognition (ICPR)},
  pages = {1026--1032},
  year = {2022},
}

TIP

Divergent Angular Representation for Open Set Image Recognition

Jaewoo Park, Cheng-Yaw Low, and Andrew Beng Jin Teoh

IEEE Transactions on Image Processing, 2022

Bib HTML

@article{park2022divergent,
  title = {Divergent Angular Representation for Open Set Image Recognition},
  author = {Park, Jaewoo and Low, Cheng-Yaw and Teoh, Andrew Beng Jin},
  journal = {IEEE Transactions on Image Processing},
  volume = {31},
  pages = {176--189},
  year = {2022},
}

SPL

MIND-Net: A Deep Mutual Information Distillation Network for Realistic Low-Resolution Face Recognition

Cheng-Yaw Low, Andrew Beng Jin Teoh, and Jaewoo Park

IEEE Signal Processing Letters, 2021

DOI Bib

@article{low2021mindnet,
  title = {MIND-Net: A Deep Mutual Information Distillation Network for Realistic Low-Resolution Face Recognition},
  author = {Low, Cheng-Yaw and Teoh, Andrew Beng Jin and Park, Jaewoo},
  journal = {IEEE Signal Processing Letters},
  volume = {28},
  pages = {354--358},
  year = {2021},
  doi = {10.1109/LSP.2021.3053480},
}

ICPR

Discriminative Multi-level Reconstruction under Compact Latent Space for One-Class Novelty Detection

Jaewoo Park, Yoon Gyo Jung, and Andrew Beng Jin Teoh

In International Conference on Pattern Recognition (ICPR), 2020

arXiv Bib

@inproceedings{park2020discriminative,
  title = {Discriminative Multi-level Reconstruction under Compact Latent Space for One-Class Novelty Detection},
  author = {Park, Jaewoo and Jung, Yoon Gyo and Teoh, Andrew Beng Jin},
  booktitle = {International Conference on Pattern Recognition (ICPR)},
  pages = {7095--7102},
  year = {2020},
}

ICPR

Revisiting ImprovedGAN with Metric Learning for Semi-Supervised Learning

Jaewoo Park, Yoon Gyo Jung, and Andrew Beng Jin Teoh

In International Conference on Pattern Recognition (ICPR), 2020

DOI Bib

@inproceedings{park2020improvedgan,
  title = {Revisiting ImprovedGAN with Metric Learning for Semi-Supervised Learning},
  author = {Park, Jaewoo and Jung, Yoon Gyo and Teoh, Andrew Beng Jin},
  booktitle = {International Conference on Pattern Recognition (ICPR)},
  pages = {1467--1474},
  year = {2020},
  doi = {10.1109/ICPR48806.2021.9413222},
}

TCYB

Stacking-Based Deep Neural Network: Deep Analytic Network for Pattern Classification

Cheng-Yaw Low, Jaewoo Park, and Andrew Beng Jin Teoh

IEEE Transactions on Cybernetics, 2020

arXiv Bib

@article{low2020dan,
  title = {Stacking-Based Deep Neural Network: Deep Analytic Network for Pattern Classification},
  author = {Low, Cheng-Yaw and Park, Jaewoo and Teoh, Andrew Beng Jin},
  journal = {IEEE Transactions on Cybernetics},
  volume = {50},
  number = {12},
  pages = {5021--5034},
  year = {2020},
}

SPL

Periocular Recognition in the Wild with Generalized Label Smoothing Regularization

Yoon Gyo Jung, Cheng-Yaw Low, Jaewoo Park, and 1 more author

IEEE Signal Processing Letters, 2020

DOI Bib

@article{jung2020periocular,
  title = {Periocular Recognition in the Wild with Generalized Label Smoothing Regularization},
  author = {Jung, Yoon Gyo and Low, Cheng-Yaw and Park, Jaewoo and Teoh, Andrew Beng Jin},
  journal = {IEEE Signal Processing Letters},
  volume = {27},
  pages = {1455--1459},
  year = {2020},
  doi = {10.1109/LSP.2020.3014472},
}

ICDIP

Periocular Recognition in the Wild with Learned Label Smoothing Regularization

Yoon Gyo Jung, Jaewoo Park, Leslie Ching Ow Tiong, and 1 more author

In Twelfth International Conference on Digital Image Processing (ICDIP), 2020

DOI Bib

@inproceedings{jung2020periocularicdip,
  title = {Periocular Recognition in the Wild with Learned Label Smoothing Regularization},
  author = {Jung, Yoon Gyo and Park, Jaewoo and Tiong, Leslie Ching Ow and Teoh, Andrew Beng Jin},
  booktitle = {Twelfth International Conference on Digital Image Processing (ICDIP)},
  year = {2020},
  doi = {10.1117/12.2573072},
}