Andrew Beng Jin Teoh

Professor

Yonsei University

South Korea

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About

Professor Andrew Beng Jin Teoh is a faculty member at Yonsei University in South Korea. His research interests focus on biometric recognition systems, human motion analysis, and machine learning techniques applied to age and gender classification. Recent articles highlight advancements in face recognition, palmprint verification, and innovative methods for analyzing human gait and scam call detection.

Articles (29)

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2022

Collaborators (5)

Guang Hua

Associate Professor

Singapore Institute of Technology

SINGAPORE

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Massimo Tistarelli

Full Professor

University of Sassari

ITALY

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Sunjin Yu

Associate Professor

Changwon National University

SOUTH KOREA

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Leslie Tiong

Korea Advanced Institute of Science and Technology

SOUTH KOREA

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Cheonshik Kim

Prof.

Sejong University

SOUTH KOREA

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Andrew Beng Jin Teoh

Research Interests

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About

Articles (29)

AggreGait: Automatic gait feature extraction for human age and gender classification with possible occlusion

Attention-aware ensemble learning for face-periocular cross-modality matching

Learnable Anchor Embedding for Asymmetric Face Recognition

Bridging the Divide Between Left and Right Palmprints for Cross-Chirality Verification

Classifying Scam Calls Through Content Analysis With Dynamic Sparsity Top-k Attention Regularization

Flexible Secure Biometrics: A Protected Modality-Invariant Face-Periocular Recognition System

SF2Net: Sequence Feature Fusion Network for Palmprint Verification

Understanding open-set recognition by Jacobian norm and inter-class separation

Gait-based age group classification with adaptive Graph Neural Network

Enhancing Image Dehazing with a Multi-DCP Approach with Adaptive Airlight and Gamma Correction

Video-based face outline recognition

CoreTemp: Coreset Sampled Templates for Multimodal Mobile Biometrics

On the security risk of pre-image attack on cancelable biometrics

Enhanced Multitask Learning for Hash Code Generation of Palmprint Biometrics

Periocular embedding learning with consistent knowledge distillation from face

A Realistic Hand Image Composition Method for Palmprint ROI Embedding Attack

Guest Editorial: Special issue on advances in representation learning for computer vision

Cancellable biometrics based on the index-of-maximum hashing with random sparse binary encoding

Multivariate Time Series Clustering with State Space Dynamical Modeling and Grassmann Manifold Learning: A Systematic Review on Human Motion Data

Conditional Deployable Biometrics: Matching Periocular and Face in Various Settings

Deep fidelity in DNN watermarking: A study of backdoor watermarking for classification models

Reconstruct face from features based on genetic algorithm using GAN generator as a distribution constraint

A Review of Abnormal Behavior Detection in Activities of Daily Living

AVET: A Novel Transform Function to Improve Cancellable Biometrics Security

Comprehensive Competition Mechanism in Palmprint Recognition

Face-Periocular Cross-Identification via Contrastive Hybrid Attention Vision Transformer

On the Representation Learning of Conditional Biometrics for Flexible Deployment

Unambiguous and High-Fidelity Backdoor Watermarking for Deep Neural Networks

Co-Learning to Hash Palm Biometrics for Flexible IoT Deployment

Collaborators (5)

Guang Hua

Massimo Tistarelli

Sunjin Yu

Leslie Tiong

Cheonshik Kim

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