Yinjie Lei
Papers
1
Total Citations
6
H-Index
1
About
Yinjie Lei is a leading researcher in 3D computer vision and embodied AI, with a focus on bridging natural language and spatial understanding for human-robot interaction. His work centers on 3D visual grounding—the task of linking linguistic descriptions to specific regions in 3D point cloud scenes—a critical capability for intelligent robots to perceive and act in real-world environments. Lei’s notable contribution, "ScanERU: Interactive 3D Visual Grounding Based on Embodied Reference Understanding" (2024), introduces an interactive framework that addresses recognition errors in 3D scene understanding, enhancing the robustness of AI systems for embodied tasks. This work, already garnering 6 citations, underscores his impact on advancing reliable human-robot communication. Lei’s research tackles fundamental challenges in point cloud processing and multimodal reasoning, aiming to reduce error propagation in downstream operations. His achievements highlight a commitment to making AI systems more accurate and interactive, positioning him as a key figure in the evolution of embodied intelligence and 3D scene comprehension.
Research Focus
Key Achievements
Top Papers
- 1