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2020 – today
- 2021
[i5]James Hegarty, Omar Eldash, Amr Suleiman, Armin Alaghi:
HWTool: Fully Automatic Mapping of an Extensible C++ Image Processing Language to Hardware. CoRR abs/2110.12106 (2021)
2010 – 2019
- 2019
- [j4]Amr Suleiman
, Zhengdong Zhang, Luca Carlone, Sertac Karaman, Vivienne Sze:
Navion: A 2-mW Fully Integrated Real-Time Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones. IEEE J. Solid State Circuits 54(4): 1106-1119 (2019) - 2018
- [b1]Amr Suleiman:
Energy efficient accelerators for autonomous navigation in miniaturized robots. Massachusetts Institute of Technology, Cambridge, USA, 2018 - [c7]Vivienne Sze, Yu-Hsin Chen, Joel S. Emer, Amr Suleiman, Zhengdong Zhang:
Hardware for machine learning: Challenges and opportunities. CICC 2018: 1-8 - [c6]Amr Suleiman, Zhengdong Zhang, Luca Carlone, Sertac Karaman, Vivienne Sze:
Navion: A Fully Integrated Energy-Efficient Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones. VLSI Circuits 2018: 133-134 - [i4]Amr Suleiman, Zhengdong Zhang, Luca Carlone, Sertac Karaman, Vivienne Sze:
Navion: A 2mW Fully Integrated Real-Time Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones. CoRR abs/1809.05780 (2018) - 2017
- [j3]Amr Suleiman, Zhengdong Zhang, Vivienne Sze:
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 52(3): 844-855 (2017) - [c5]Vivienne Sze, Yu-Hsin Chen, Joel S. Einer, Amr Suleiman, Zhengdong Zhang:
Hardware for machine learning: Challenges and opportunities. CICC 2017: 1-8 - [c4]Amr Suleiman, Yu-Hsin Chen, Joel S. Emer, Vivienne Sze:
Towards closing the energy gap between HOG and CNN features for embedded vision (Invited paper). ISCAS 2017: 1-4 - [c3]Zhengdong Zhang, Amr Suleiman, Luca Carlone, Vivienne Sze, Sertac Karaman:
Visual-Inertial Odometry on Chip: An Algorithm-and-Hardware Co-design Approach. Robotics: Science and Systems 2017 - [i3]Amr Suleiman, Yu-Hsin Chen, Joel S. Emer, Vivienne Sze:
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision. CoRR abs/1703.05853 (2017) - 2016
- [j2]Amr Suleiman, Vivienne Sze:
An Energy-Efficient Hardware Implementation of HOG-Based Object Detection at 1080HD 60 fps with Multi-Scale Support. J. Signal Process. Syst. 84(3): 325-337 (2016) - [c2]Amr Suleiman, Zhengdong Zhang, Vivienne Sze:
A 58.6mW real-time programmable object detector with multi-scale multi-object support using deformable parts model on 1920×1080 video at 30fps. VLSI Circuits 2016: 1-2 - [i2]Amr Suleiman, Zhengdong Zhang, Vivienne Sze:
A 58.6mW Real-Time Programmable Object Detector with Multi-Scale Multi-Object Support Using Deformable Parts Model on 1920x1080 Video at 30fps. CoRR abs/1607.08635 (2016) - [i1]Vivienne Sze, Yu-Hsin Chen, Joel S. Emer, Amr Suleiman, Zhengdong Zhang:
Hardware for Machine Learning: Challenges and Opportunities. CoRR abs/1612.07625 (2016) - 2014
- [j1]Amr Suleiman, Ranko Sredojevic, Vladimir Stojanovic:
Model Predictive Control Equalization for High-Speed I/O Links. IEEE Trans. Circuits Syst. I Regul. Pap. 61-I(2): 371-381 (2014) - [c1]Amr Suleiman, Vivienne Sze:
Energy-efficient HOG-based object detection at 1080HD 60 fps with multi-scale support. SiPS 2014: 256-261
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