Hyo Jong Lee

Professor

South Korea

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About

Hyo Jong Lee is a Professor at Jeonbuk National University in South Korea. His research areas include multi-feature fusion networks, human pose estimation, and image fusion techniques. He has published several articles focusing on student behavior classification, semantic segmentation of aerial images, and action recognition using advanced neural network models.

Articles (12)

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

Collaborators (1)

Seung-Hoon Na

Chonbuk National University

SOUTH KOREA

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Hyo Jong Lee

Research Interests

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Articles (12)

Distorted Aerial Images Semantic Segmentation Method for Software-Based Analog Image Receivers Using Deep Combined Learning

GFAM: A Gender-Preserving Face Aging Model for Age Imbalance Data

Multisensor Infrared and Visible Image Fusion via Double Joint Edge Preservation Filter and Nonglobally Saliency Gradient Operator

Infrared and Visible Image Fusion via Feature-Oriented Dual-Module Complementary

TGSNET: A FRACTAL NEURAL NETWORK FOR ACTION RECOGNITION

A Target-Aware Fusion Framework for Infrared and Visible Images

MultiFusedNet: A Multi-Feature Fused Network of Pretrained Vision Models via Keyframes for Student Behavior Classification

Optimizing offset-regression by relay point for bottom-up human pose estimation

Learning age semantic factor to enhance group-based representations for cross-age face recognition

Single image super-resolution via deep progressive multi-scale fusion networks

Effective Attention-Based Mechanism for Masked Face Recognition

Effective Attention-Based Feature Decomposition for Cross-Age Face Recognition

Collaborators (1)

Seung-Hoon Na

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