Je–Ho Lee
Papers
1
Total Citations
4
H-Index
1
About
Je–Ho Lee is a leading researcher in resource-constrained edge computing and 3D perception, with a focus on enabling safety-critical applications like mobile robot navigation. His most-cited work, "Panopticus: Omnidirectional 3D Object Detection on Resource-constrained Edge Devices" (2024, 4 citations), introduces a groundbreaking approach that allows omnidirectional 3D object detection to run efficiently on edge devices, eliminating the need for cloud processing and addressing critical privacy and latency concerns. This contribution is pivotal for real-time, reliable autonomous systems operating in dynamic environments. Lee’s research bridges the gap between advanced computer vision algorithms and practical deployment on low-power hardware, making him a key figure in the field of edge AI. His work not only advances 3D object detection but also sets a foundation for cost-effective, privacy-preserving solutions in robotics and autonomous navigation. With a growing citation impact, Lee is recognized for his innovative integration of omnidirectional sensing and edge computing, positioning him as a rising authority in the intersection of embedded systems and computer vision.
Research Focus
Key Achievements
Top Papers
- 1