Amr Suleiman
Orcid: 0000-0003-3669-4318
According to our database1,
Amr Suleiman
authored at least 16 papers
between 2014 and 2021.
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Timeline
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Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2021
HWTool: Fully Automatic Mapping of an Extensible C++ Image Processing Language to Hardware.
CoRR, 2021
2019
Navion: A 2-mW Fully Integrated Real-Time Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones.
IEEE J. Solid State Circuits, 2019
2018
PhD thesis, 2018
Navion: A 2mW Fully Integrated Real-Time Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones.
CoRR, 2018
Navion: A Fully Integrated Energy-Efficient Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones.
Proceedings of the 2018 IEEE Symposium on VLSI Circuits, 2018
Proceedings of the 2018 IEEE Custom Integrated Circuits Conference, 2018
2017
A 58.6 mW 30 Frames/s Real-Time Programmable Multiobject Detection Accelerator With Deformable Parts Models on Full HD 1920×1080 Videos.
IEEE J. Solid State Circuits, 2017
CoRR, 2017
Proceedings of the Robotics: Science and Systems XIII, 2017
Towards closing the energy gap between HOG and CNN features for embedded vision (Invited paper).
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017
Proceedings of the 2017 IEEE Custom Integrated Circuits Conference, 2017
2016
An Energy-Efficient Hardware Implementation of HOG-Based Object Detection at 1080HD 60 fps with Multi-Scale Support.
J. Signal Process. Syst., 2016
A 58.6mW Real-Time Programmable Object Detector with Multi-Scale Multi-Object Support Using Deformable Parts Model on 1920x1080 Video at 30fps.
CoRR, 2016
A 58.6mW real-time programmable object detector with multi-scale multi-object support using deformable parts model on 1920×1080 video at 30fps.
Proceedings of the 2016 IEEE Symposium on VLSI Circuits, 2016
2014
IEEE Trans. Circuits Syst. I Regul. Pap., 2014
Energy-efficient HOG-based object detection at 1080HD 60 fps with multi-scale support.
Proceedings of the 2014 IEEE Workshop on Signal Processing Systems, 2014