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

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

Compact Surjective Encoding Autoencoder for Unsupervised Novelty Detection. - Jaewoo Park; 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; 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; Andrew Beng Jin Teoh (IEEE Signal Process. Lett., 2020)

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

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 (ECCV (75), 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)

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 (CVPR, 2025)