Jun Won Choi
Papers
4
Total Citations
50
H-Index
3
About
Dr. Jun Won Choi is a leading researcher in autonomous systems and robotics, with key contributions spanning motion prediction, 3D object detection, and human activity recognition. His work addresses critical challenges in safe and robust autonomous navigation, particularly through innovative deep learning architectures. Dr. Choi’s most notable contribution is **R-Pred**, a two-stage motion prediction framework that leverages tube-query attention for trajectory refinement, achieving 30 citations since 2023. This method enhances the safety and risk assessment capabilities of autonomous robots by effectively integrating scene and interaction contexts. In 3D object detection, his **D-Align** network introduces a dual query co-attention mechanism for multi-frame point cloud sequences, advancing real-time LiDAR-based detection (12 citations). Dr. Choi also pioneers privacy-preserving human action recognition with the **HDIA Dataset**, combining infrared cameras and wearable sensors for healthcare and smart home applications (5 citations). His recent work on semi-supervised domain adaptation for 3D object detection tackles real-world sensor variability, a critical step toward reliable autonomous driving. With a research portfolio that bridges theoretical innovation and practical deployment, Dr. Choi is shaping the future of intelligent, context-aware robotic systems.
Research Focus
Key Achievements
Top Papers
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