Jaewoo Park

According to our database, Jaewoo Park authored at least 22 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

Yoon Gyo Jung, Jaewoo Park, Jaeho Yoon, Kuan-Chuan Peng, Wonchul Kim, Andrew Beng Jin Teoh, Octavia I. Camps

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Cancellable biometrics based on the index-of-maximum hashing with random sparse binary encoding.

Jihyeon Kim, Jaewoo Park, Cheng-Yaw Low, Andrew Beng Jin Teoh

Multim. Tools Appl., June, 2024

Understanding open-set recognition by Jacobian norm and inter-class separation.

Jaewoo Park, Hojin Park, Eunju Jeong, Andrew Beng Jin Teoh

Pattern Recognit., January, 2024

On the security risk of pre-image attack on cancelable biometrics.

Xingbo Dong, Jaewoo Park, Zhe Jin, Andrew Beng Jin Teoh, Massimo Tistarelli, Koksheik Wong

J. King Saud Univ. Comput. Inf. Sci., 2024

Periocular embedding learning with consistent knowledge distillation from face.

Yoon Gyo Jung, Jaewoo Park, Cheng-Yaw Low, Jacky Chen Long Chai, Leslie Ching Ow Tiong, Andrew Beng Jin Teoh

Neurocomputing, 2024

Face Reconstruction Transfer Attack as Out-of-Distribution Generalization.

Yoon Gyo Jung, Jaewoo Park, Xingbo Dong, Hojin Park, Andrew Beng Jin Teoh, Octavia I. Camps

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

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

Jaeho Yoon, Jaewoo Park, Kensuke Wagata, Hojin Park, Andrew Beng Jin Teoh

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Towards Query Efficient and Generalizable Black-Box Face Reconstruction Attack.

Hojin Park, Jaewoo Park, Xingbo Dong, Andrew Beng Jin Teoh

Proceedings of the IEEE International Conference on Image Processing, 2023

Nearest Neighbor Guidance for Out-of-Distribution Detection.

Jaewoo Park, Yoon Gyo Jung, Andrew Beng Jin Teoh

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Understanding the Feature Norm for Out-of-Distribution Detection.

Jaewoo Park, Jacky Chen Long Chai, Jaeho Yoon, Andrew Beng Jin Teoh

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Jacky Chen Long Chai, Tiong-Sik Ng, Cheng-Yaw Low, Jaewoo Park, Andrew Beng Jin Teoh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Cheng-Yaw Low, Jacky Chen Long Chai, Jaewoo Park, Kyeongjin Ann, Meeyoung Cha

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Divergent Angular Representation for Open Set Image Recognition.

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

IEEE Trans. Image Process., 2022

Understanding Open-Set Recognition by Jacobian Norm of Representation.

Jaewoo Park, Hojin Park, Eunju Jeong, Andrew Beng Jin Teoh

CoRR, 2022

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

Hojin Park, Jaewoo Park, Andrew Beng Jin Teoh

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

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

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

IEEE Signal Process. Lett., 2021

2020

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

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

IEEE Trans. Cybern., 2020

Periocular Recognition in the Wild With Generalized Label Smoothing Regularization.

Yoon Gyo Jung, Cheng-Yaw Low, Jaewoo Park, Andrew Beng Jin Teoh

IEEE Signal Process. Lett., 2020

Periocular in the Wild Embedding Learning with Cross-Modal Consistent Knowledge Distillation.

Yoon Gyo Jung, Jaewoo Park, Cheng-Yaw Low, Leslie Ching Ow Tiong, Andrew Beng Jin Teoh

CoRR, 2020

Compact Surjective Encoding Autoencoder for Unsupervised Novelty Detection.

Jaewoo Park, Yoon Gyo Jung, Andrew Beng Jin Teoh

CoRR, 2020

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

Jaewoo Park, Yoon Gyo Jung, Andrew Beng Jin Teoh

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Revisiting ImprovedGAN with Metric Learning for Semi-Supervised Learning.

Jaewoo Park, Yoon Gyo Jung, Andrew Beng Jin Teoh

Proceedings of the 25th International Conference on Pattern Recognition, 2020