18 citations · 19 across the 5 of their papers we have counts for
5 papers · 1 filter
TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection
Yoon Gyo Jung, Jaewoo Park, Jaeho Yoon +4
We aim to solve unsupervised anomaly detection in a practical challenging environment where the normal dataset is both contaminated with defective regions and its product class dis…
Face Reconstruction Transfer Attack as Out-of-Distribution Generalization
Yoon Gyo Jung, Jaewoo Park, Xingbo Dong +3
Understanding the vulnerability of face recognition systems to malicious attacks is of critical importance. Previous works have focused on reconstructing face images that can penet…
Understanding the Feature Norm for Out-of-Distribution Detection
Jaewoo Park, Jacky Chen Long Chai, Jaeho Yoon +1
A neural network trained on a classification dataset often exhibits a higher vector norm of hidden layer features for in-distribution (ID) samples, while producing relatively lower…
Recognizability Embedding Enhancement for Very Low-Resolution Face Recognition and Quality Estimation
Jacky Chen Long Chai, Tiong-Sik Ng, Cheng-Yaw Low +2
Very low-resolution face recognition (VLRFR) poses unique challenges, such as tiny regions of interest and poor resolution due to extreme standoff distance or wide viewing angle of…
Stacking-Based Deep Neural Network: Deep Analytic Network for Pattern Classification
Cheng-Yaw Low, Jaewoo Park, Andrew Beng-Jin Teoh
Stacking-based deep neural network (S-DNN) is aggregated with pluralities of basic learning modules, one after another, to synthesize a deep neural network (DNN) alternative for pa…