Papers
2
Total Citations
18
H-Index
2
About
Jieyu Li is a researcher at the forefront of embedded artificial intelligence and autonomous perception, with a focus on real-time systems for human-computer interaction and spatial understanding. Li’s most impactful work, "AR-C3D: Action Recognition Accelerator for Human-Computer Interaction on FPGA" (11 citations), introduces a specialized convolutional 3D neural network optimized for FPGA deployment. This contribution is pivotal for enabling low-latency, hardware-efficient action recognition, directly advancing the practicality of gesture-based interfaces in resource-constrained environments. Building on this, Li’s "2D LiDAR and Camera Fusion Using Motion Cues for Indoor Layout Estimation" (7 citations) pioneers a sensor fusion technique that integrates 2D LiDAR depth data with visual cues from an intensity camera. By leveraging motion cues from a ground robot, this work achieves robust indoor layout estimation, addressing a critical challenge in autonomous navigation and augmented reality. Together, these projects demonstrate Li’s expertise in bridging algorithmic innovation with hardware acceleration, achieving notable citation impact in the specialized domains of reconfigurable computing and multi-modal perception. Li’s research is essential reading for students and engineers developing efficient, real-world AI systems for robotics and interactive environments.
Research Focus
Key Achievements
Top Papers
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