Junho Koh
Papers
1
Total Citations
12
H-Index
1
About
Junho Koh is a rising researcher in the field of 3D computer vision and autonomous driving, with a primary focus on advancing LiDAR-based perception systems. His most notable contribution is the development of the D-Align framework, a dual query co-attention network that significantly improves 3D object detection by leveraging multi-frame point cloud sequences. This work addresses a critical limitation in conventional detectors, which treat point cloud data as static snapshots, by enabling temporal reasoning across frames. As a result, D-Align enhances detection accuracy in dynamic environments, a key requirement for real-world mobile robotics and autonomous vehicles. With 12 citations since its 2023 publication, Koh’s research is gaining traction for its innovative approach to fusing spatial and temporal information. His work stands out for its practical impact on improving the reliability of perception systems, making him a promising contributor to the next generation of safe and efficient autonomous navigation technologies.
Research Focus
Key Achievements
Top Papers
- 1