معرفی
Seung Bin Moon is a Professor in the Department of Computer Science and Engineering at Sejong University, specializing in Machine Learning, Computer Vision, and Artificial Intelligence with a focus on Face Recognition and Neural Network Architectures.
- Current Role: Professor, Department of Computer Science and Engineering, Sejong University
- Research Themes: Face Recognition, Deep Learning, Robotics, Scene Recognition, and Heterogeneous Data Processing
Research Interests: Seung Bin Moon's work primarily addresses challenges in Face Recognition, including disguised faces, heterogeneous modality integration (e.g., visible-thermal), and dynamic neural network optimization. His recent publications highlight advancements in GAN-based synthetic data generation, multi-exit network efficiency, and scene recognition architectures.
Recent Article Trends: His 2023-2022 publications emphasize heterogeneous face recognition using cross-modality discriminators, dynamic parallel pyramid networks for scene recognition, and self-supervised weighting mechanisms in multi-exit networks. These works integrate deep learning, reinforcement learning, and generative adversarial techniques to improve prediction accuracy and robustness.
