Revisiting ImprovedGAN with Metric Learning for Semi-Supervised Learning. - Jaewoo Park 001; Yoon Gyo Jung; Andrew Beng Jin Teoh (ICPR, 2020)

Discriminative Multi -level Reconstruction under Compact Latent Space for One-Class Novelty Detection. - Jaewoo Park 001; Yoon Gyo Jung; Andrew Beng Jin Teoh (ICPR, 2020)

Compact Surjective Encoding Autoencoder for Unsupervised Novelty Detection. - Jaewoo Park 001; Yoon Gyo Jung; Andrew Beng Jin Teoh (CoRR, 2020)

Periocular in the Wild Embedding Learning with Cross-Modal Consistent Knowledge Distillation. - Yoon Gyo Jung; Jaewoo Park 001; Cheng-Yaw Low; Leslie Ching Ow Tiong; Andrew Beng Jin Teoh (CoRR, 2020)

Periocular Recognition in the Wild With Generalized Label Smoothing Regularization. - Yoon Gyo Jung; Cheng-Yaw Low; Jaewoo Park 001; Andrew Beng Jin Teoh (IEEE Signal Process. Lett., 2020)

Stacking-Based Deep Neural Network: Deep Analytic Network for Pattern Classification. - Cheng-Yaw Low; Jaewoo Park 001; Andrew Beng Jin Teoh (IEEE Trans. Cybern., 2020)

MIND-Net: A Deep Mutual Information Distillation Network for Realistic Low-Resolution Face Recognition. - Cheng-Yaw Low; Andrew Beng Jin Teoh; Jaewoo Park 001 (IEEE Signal Process. Lett., 2021)

Open-Set Face Identification on Few-Shot Gallery by Fine-Tuning. - Hojin Park; Jaewoo Park 001; Andrew Beng Jin Teoh (ICPR, 2022)

Understanding Open-Set Recognition by Jacobian Norm of Representation. - Jaewoo Park 001; Hojin Park; Eunju Jeong; Andrew Beng Jin Teoh (CoRR, 2022)

Divergent Angular Representation for Open Set Image Recognition. - Jaewoo Park 001; Cheng-Yaw Low; Andrew Beng Jin Teoh (IEEE Trans. Image Process., 2022)

SlackedFace: Learning a Slacked Margin for Low-Resolution Face Recognition. - Cheng-Yaw Low; Jacky Chen Long Chai; Jaewoo Park 001; Kyeongjin Ann; Meeyoung Cha (BMVC, 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 001; Andrew Beng Jin Teoh (CVPR, 2023)

Understanding the Feature Norm for Out-of-Distribution Detection. - Jaewoo Park 001; Jacky Chen Long Chai; Jaeho Yoon; Andrew Beng Jin Teoh (ICCV, 2023)

Nearest Neighbor Guidance for Out-of-Distribution Detection. - Jaewoo Park 001; Yoon Gyo Jung; Andrew Beng Jin Teoh (ICCV, 2023)

Towards Query Efficient and Generalizable Black-Box Face Reconstruction Attack. - Hojin Park; Jaewoo Park 001; Xingbo Dong; Andrew Beng Jin Teoh (ICIP, 2023)

Pretrained Implicit-Ensemble Transformer for Open-Set Authentication on Multimodal Mobile Biometrics. - Jaeho Yoon; Jaewoo Park 001; Kensuke Wagata; Hojin Park; Andrew Beng Jin Teoh (ACM Multimedia, 2023)

Face Reconstruction Transfer Attack as Out-of-Distribution Generalization. - Yoon Gyo Jung; Jaewoo Park 001; Xingbo Dong; Hojin Park; Andrew Beng Jin Teoh; Octavia I. Camps (ECCV (75), 2024)

Periocular embedding learning with consistent knowledge distillation from face. - Yoon Gyo Jung; Jaewoo Park 001; Cheng-Yaw Low; Jacky Chen Long Chai; Leslie Ching Ow Tiong; Andrew Beng Jin Teoh (Neurocomputing, 2024)

On the security risk of pre-image attack on cancelable biometrics. - Xingbo Dong; Jaewoo Park 001; Zhe Jin; Andrew Beng Jin Teoh; Massimo Tistarelli; Koksheik Wong (J. King Saud Univ. Comput. Inf. Sci., 2024)

Understanding open-set recognition by Jacobian norm and inter-class separation. - Jaewoo Park 001; Hojin Park; Eunju Jeong; Andrew Beng Jin Teoh (Pattern Recognit., 2024)

Cancellable biometrics based on the index-of-maximum hashing with random sparse binary encoding. - Jihyeon Kim; Jaewoo Park 001; Cheng-Yaw Low; Andrew Beng Jin Teoh (Multim. Tools Appl., 2024)

TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection. - Yoon Gyo Jung; Jaewoo Park 001; Jaeho Yoon; Kuan-Chuan Peng; Wonchul Kim; Andrew Beng Jin Teoh; Octavia I. Camps (CVPR, 2025)