Jitae Shin

Professor

Sungkyunkwan University

South Korea

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About

Dr. Jitae Shin is a Professor at Sungkyunkwan University - Suwon Campus in South Korea. His research spans various areas, including deep learning applications in autonomous driving, medical imaging, and understanding brain plasticity. Recent publications highlight his work in developing advanced algorithms for tasks such as sound localization, coronary artery assessment, and traffic agent trajectory prediction.

Articles (15)

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2025

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2025

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2024

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2024

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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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2021

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2021

Collaborators (6)

Seungho Ryu

SOUTH KOREA

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Muhammad Shahid Jabbar

Sungkyunkwan University

SOUTH KOREA

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Il Yong Chun

Sungkyunkwan University

SOUTH KOREA

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Taegkeun Whangbo

Gachon University

SOUTH KOREA

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Do Young Park

professor

Samsung Medical Center

SOUTH KOREA

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Jundong Cho

Professor

Sungkyunkwan University

SOUTH KOREA

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Jitae Shin

Research Interests

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About

Articles (15)

Deep learning methods for autonomous driving scene understanding tasks: A review

Sound Localization Training and Induced Brain Plasticity: An fMRI Investigation

Mammography-based deep learning model for coronary artery calcification

Efficient and Robust Object Detection Against Multi-Type Corruption Using Complete Edge Based on Lightweight Parameter Isolation

FundusGAN: Fundus image synthesis based on semi-supervised learning

Improving the Accuracy of Continuous Blood Glucose Measurement Using Personalized Calibration and Machine Learning

Weakly supervised multi-class semantic video segmentation for road scenes

Multimodal Deep Learning Model of Predicting Future Visual Field for Glaucoma Patients

Robust Object Detection Against Multi-Type Corruption Without Catastrophic Forgetting During Adversarial Training Under Harsh Autonomous-Driving Environments

Trajectory Prediction of Heterogeneous Traffic Agents With Collision Vigilance and Avoidance

Improved Test Input Prioritization Using Verification Monitors with False Prediction Cluster Centroids

AI Ekphrasis: Multi-Modal Learning with Foundation Models for Fine-Grained Poetry Retrieval

Chain Graph Explanation of Neural Network Based on Feature-Level Class Confusion

Construction of a Soundscape-Based Media Art Exhibition to Improve User Appreciation Experience by Using Deep Neural Networks

Future Image Synthesis for Diabetic Retinopathy Based on the Lesion Occurrence Probability

Collaborators (6)

Seungho Ryu

Muhammad Shahid Jabbar

Il Yong Chun

Taegkeun Whangbo

Do Young Park

Jundong Cho

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