Gregory Chen
Papers
1
Total Citations
8
H-Index
1
About
Gregory Chen is a leading researcher in energy-efficient hardware acceleration for 3D computer vision and edge computing. His work focuses on designing specialized CMOS accelerators that enable real-time, low-power processing for robotics and augmented reality applications. Chen's most notable contribution is a pioneering ray-casting accelerator fabricated in 10nm CMOS, which efficiently reconstructs 3D scenes by simultaneously casting multiple rays to exploit voxel data-locality. This design incorporates a near-memory search for voxel address overlaps and opportunistic approximate trilinear interpolation, achieving significant energy savings. The accelerator's measurements demonstrate high-performance ray-casting, making it ideal for resource-constrained edge devices. With 8 citations on this key paper, Chen's work is gaining recognition for bridging the gap between advanced computer vision algorithms and practical hardware implementations. His innovations are critical for enabling autonomous robots and AR systems to process complex 3D environments in real time without relying on cloud computing, positioning him as a rising figure in the field of custom computing for intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1