66 citations · 98 across the 11 of their papers we have counts for
11 papers
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…
NTT-PIM: Row-Centric Architecture and Mapping for Efficient Number-Theoretic Transform on PIM
Jaewoo Park, Sugil Lee, Jongeun Lee
Recently DRAM-based PIMs (processing-in-memories) with unmodified cell arrays have demonstrated impressive performance for accelerating AI applications. However, due to the very re…
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…
Hyperdimensional Computing as a Rescue for Efficient Privacy-Preserving Machine Learning-as-a-Service
Jaewoo Park, Chenghao Quan, Hyungon Moon +1
Machine learning models are often provisioned as a cloud-based service where the clients send their data to the service provider to obtain the result. This setting is commonplace d…
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…
Open-Set Face Identification on Few-Shot Gallery by Fine-Tuning
Hojin Park, Jaewoo Park, Andrew Beng Jin Teoh
In this paper, we focus on addressing the open-set face identification problem on a few-shot gallery by fine-tuning. The problem assumes a realistic scenario for face identificatio…
Periocular Embedding Learning with Consistent Knowledge Distillation from Face
Yoon Gyo Jung, Jaewoo Park, Cheng Yaw Low +3
Periocular biometric, the peripheral area of the ocular, is a collaborative alternative to the face, especially when the face is occluded or masked. However, in practice, sole peri…
Discriminative Multi-level Reconstruction under Compact Latent Space for One-Class Novelty Detection
Jaewoo Park, Yoon Gyo Jung, Andrew Beng Jin Teoh
In one-class novelty detection, a model learns solely on the in-class data to single out out-class instances. Autoencoder (AE) variants aim to compactly model the in-class data to…
On the Risk of Cancelable Biometrics
Xingbo Dong, Jaewoo Park, Zhe Jin +3
Cancelable biometrics (CB) employs an irreversible transformation to convert the biometric features into transformed templates while preserving the relative distance between two te…
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…