Jae Hyeok Lee
Papers
1
Total Citations
2
H-Index
1
About
Jae Hyeok Lee is a researcher in robotics and computer vision, with a primary focus on multi-object tracking (MOT) under resource-constrained conditions. His work addresses the critical challenge of enabling robust object tracking on embedded robotic systems, where processing time per frame is limited and frame rates are often low. Lee’s most notable contribution is **FocoTrack**, a novel MOT algorithm introduced in 2024 that emphasizes overlap-based tracking to maintain accuracy even at reduced frame rates. This approach is particularly significant for real-world robotics applications, where computational efficiency is paramount. Although early in his career, with FocoTrack already garnering 2 citations, his work tackles a pressing gap in the field—bridging the performance gap between high-frame-rate tracking and the practical constraints of embedded platforms. Lee’s research is poised to influence the development of more efficient, real-time tracking systems for autonomous robots, drones, and other edge devices. His focus on low-frame-rate scenarios demonstrates a forward-thinking approach to scalable, resource-aware computer vision.
Research Focus
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Top Papers
- 1