Byoung Chul Ko

Professor

Keimyung University

South Korea

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Byoung Chul Ko is a Professor at Keimyung University in South Korea. His research areas include context-aware person re-identification, semantic scene graph generation, and video action recognition, as evidenced by his recent articles. He has also contributed to advancements in interpretability in vision transformers and tactile-sensation diagnostic imaging systems.

Byoung Chul Ko

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Articles (18)

LAttE: A label-free and multimodal framework for context-aware person re-identification

Semantic scene graph generation based on an edge dual scene graph and message passing neural network

Scene Graph and Natural Language-Based Semantic Image Retrieval Using Vision Sensor Data

Concept graph embedding models for enhanced accuracy and interpretability

BTD-RF: 3D scene reconstruction using block-term tensor decomposition

Rethinking Attention Mechanisms in Vision Transformers with Graph Structures

Interpretable Information Visualization for Enhanced Temporal Action Detection in Videos

High-Resolution Tactile-Sensation Diagnostic Imaging System for Thyroid Cancer

SSL-MOT: self-supervised learning based multi-object tracking

Facial Expression Recognition in the Wild Using Face Graph and Attention

Neural Tree Decoder for Interpretation of Vision Transformers

STAR++: Rethinking spatio-temporal cross attention transformer for video action recognition

Lightweight Semantic-Guided Neural Networks Based on Single Head Attention for Action Recognition

Facial Expression Recognition Based on Squeeze Vision Transformer

Lightweight surrogate random forest support for model simplification and feature relevance

Model Simplification of Deep Random Forest for Real-Time Applications of Various Sensor Data

Graph Convolution Neural Network-Based Data Association for Online Multi-Object Tracking

Self-Supervised Keypoint Detection Based on Multi-Layer Random Forest Regressor

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