activity
20162023
most citedRanking Based Locality Sensitive Hashing Enabled Cancelable Biometrics: Index-of-Max Hashing

221 citations · 597 across the 22 of their papers we have counts for

collaborators

22 papers

cs.CV2023★ 1 cited

Nearest Neighbor Guidance for Out-of-Distribution Detection

Jaewoo Park, Yoon Gyo Jung, Andrew Beng Jin Teoh

Detecting out-of-distribution (OOD) samples are crucial for machine learning models deployed in open-world environments. Classifier-based scores are a standard approach for OOD det…

cs.CV2023★ 2 cited

Physics-Driven Spectrum-Consistent Federated Learning for Palmprint Verification

Ziyuan Yang, Andrew Beng Jin Teoh, Bob Zhang +2

Palmprint as biometrics has gained increasing attention recently due to its discriminative ability and robustness. However, existing methods mainly improve palmprint verification w…

cs.CV2023★ 3 cited

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…

cs.CV2023★ 1 cited

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…

cs.LG2022★ 5 cited

Gait-based Age Group Classification with Adaptive Graph Neural Network

Timilehin B. Aderinola, Tee Connie, Thian Song Ong +2

Deep learning techniques have recently been utilized for model-free age-associated gait feature extraction. However, acquiring model-free gait demands accurate pre-processing such…

cs.CV2022★ 14 cited

Understanding Open-Set Recognition by Jacobian Norm and Inter-Class Separation

Jaewoo Park, Hojin Park, Eunju Jeong +1

The findings on open-set recognition (OSR) show that models trained on classification datasets are capable of detecting unknown classes not encountered during the training process.…