| Hardware for machine learning: Challenges and opportunities V Sze, YH Chen, J Emer, A Suleiman, Z Zhang 2017 IEEE custom integrated circuits conference (CICC), 1-8, 2017 | 466 | 2017 |
| Navion: A 2-mw fully integrated real-time visual-inertial odometry accelerator for autonomous navigation of nano drones A Suleiman, Z Zhang, L Carlone, S Karaman, V Sze IEEE Journal of Solid-State Circuits 54 (4), 1106-1119, 2019 | 152 | 2019 |
| Towards closing the energy gap between HOG and CNN features for embedded vision A Suleiman, YH Chen, J Emer, V Sze 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017 | 119 | 2017 |
| Visual-inertial odometry on chip: An algorithm-and-hardware co-design approach Z Zhang, AAZ Suleiman, L Carlone, V Sze, S Karaman | 66 | 2017 |
| An energy-efficient hardware implementation of HOG-based object detection at 1080HD 60 fps with multi-scale support A Suleiman, V Sze Journal of Signal Processing Systems 84, 325-337, 2016 | 57 | 2016 |
| Navion: A fully integrated energy-efficient visual-inertial odometry accelerator for autonomous navigation of nano drones A Suleiman, Z Zhang, L Carlone, S Karaman, V Sze 2018 IEEE symposium on VLSI circuits, 133-134, 2018 | 55 | 2018 |
| Energy-efficient HOG-based object detection at 1080HD 60 fps with multi-scale support A Suleiman, V Sze 2014 IEEE Workshop on Signal Processing Systems (SiPS), 1-6, 2014 | 55 | 2014 |
| A 58.6 mW 30 frames/s real-time programmable multiobject detection accelerator with deformable parts models on full HD videos A Suleiman, Z Zhang, V Sze IEEE Journal of Solid-State Circuits 52 (3), 844-855, 2017 | 24 | 2017 |
| A 58.6 mW real-time programmable object detector with multi-scale multi-object support using deformable parts model on 1920× 1080 video at 30fps A Suleiman, Z Zhang, V Sze 2016 IEEE Symposium on VLSI Circuits (VLSI-Circuits), 1-2, 2016 | 23 | 2016 |
| Model predictive control equalization for high-speed I/O links A Suleiman, R Sredojevic, V Stojanovic IEEE Transactions on Circuits and Systems I: Regular Papers 61 (2), 371-381, 2013 | 9 | 2013 |
| Distributed sensor module for tracking M Kal, A Alaghi, V Lee, RA Newcombe, A Suleiman, M Huzaifa US Patent 11,182,647, 2021 | 6 | 2021 |
| ASIC implementation of Cairo University SPARC “CUSPARC” embedded processor AAZ Suleiman, AF Khedr, SED Habib 2010 International Conference on Microelectronics, 439-442, 2010 | 6 | 2010 |
| CUSPARC IP processor: Design, characterization and applications EEDO Hussein, SI Shams, MI Ali, AAZ Suleiman, K ElWazeer, EA Sobhy, ... 2010 International Conference on Microelectronics, 435-438, 2010 | 5 | 2010 |
| Visual inertial odometry localization using sparse sensors A Suleiman, A Mourikis, A Alaghi, AS Berkovich, S Alkalay, M Kal, V Lee, ... US Patent App. 17/493,620, 2022 | | 2022 |
| HWTool: Fully Automatic Mapping of an Extensible C++ Image Processing Language to Hardware J Hegarty, O Eldash, A Suleiman, A Alaghi arXiv preprint arXiv:2110.12106, 2021 | | 2021 |
| uVIO: Energy-Efficient Accelerator for Microdrone Navigation in GPS-Denied Environments A Suleiman, Z Zhang, L Carlone, S Karaman, V Sze Research Abstracts, 14, 2018 | | 2018 |
| A 58.6 mW 30fps Real-Time Programmable Multi-Object Detection Accelerator with Deformable Parts Models on Full HD 1920× 1080 Videos A Suleiman, Z Zhang, V Sze Institute of Electrical and Electronics Engineers (IEEE), 2017 | | 2017 |
| Vivienne Sze." A 58.6 mW Real-Time Programmable Object Detector with Multi-Scale Multi-Object Support Using Deformable Parts Model on 1920x1080 Video at 30fps." A Suleiman, Z Zhengdong 2016 IEEE Symposium on VLSI Circuits (VLSI-Circuits), Digest of Technical …, 2016 | | 2016 |
| Low-Power Hardware Accelerator for Object Detection with Deformable Parts Model A Suleiman, Z Zhang, V Sze Circuits and Systems for Information Processing, Multimedia, Communication …, 0 | | |
| Technical Track Chairs M Anis, M Elmasry, M Alioto, MN El-Gamal, K Abed-Meraim, M Abid, ... | | |
Vivienne SzeProfessor, EECS at MITVerified email at mit.edu
