2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.DC2021
HWTool: Fully Automatic Mapping of an Extensible C++ Image Processing Language to Hardware
James Hegarty, Omar Eldash, Amr Suleiman +1
Implementing image processing algorithms using FPGAs or ASICs can improve energy efficiency by orders of magnitude over optimized CPU, DSP, or GPU code. These efficiency improvemen…
cs.RO2018
Navion: A 2mW Fully Integrated Real-Time Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones
Amr Suleiman, Zhengdong Zhang, Luca Carlone +2
This paper presents Navion, an energy-efficient accelerator for visual-inertial odometry (VIO) that enables autonomous navigation of miniaturized robots (e.g., nano drones), and vi…
cs.CV2017★ 2 cited
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision
Amr Suleiman, Yu-Hsin Chen, Joel Emer +1
Computer vision enables a wide range of applications in robotics/drones, self-driving cars, smart Internet of Things, and portable/wearable electronics. For many of these applicati…