192 citations · 194 across the 6 of their papers we have counts for
6 papers
Full System Architecture Modeling for Wearable Egocentric Contextual AI
Vincent T. Lee, Tanfer Alan, Sung Kim +6
The next generation of human-oriented computing will require always-on, spatially-aware wearable devices to capture egocentric vision and functional primitives (e.g., Where am I? W…
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…
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…
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…
Hardware for Machine Learning: Challenges and Opportunities
Vivienne Sze, Yu-Hsin Chen, Joel Emer +2
Machine learning plays a critical role in extracting meaningful information out of the zetabytes of sensor data collected every day. For some applications, the goal is to analyze a…
A 58.6mW Real-Time Programmable Object Detector with Multi-Scale Multi-Object Support Using Deformable Parts Model on 1920x1080 Video at 30fps
Amr Suleiman, Zhengdong Zhang, Vivienne Sze
This paper presents a programmable, energy-efficient and real-time object detection accelerator using deformable parts models (DPM), with 2x higher accuracy than traditional rigid…