AFFIX

Author:

Taheri Sajjad1,Behnam Payman2,Bozorgzadeh Eli1,Veidenbaum Alexander1,Nicolau Alexandru1

Affiliation:

1. University of California, Irvine, Irvine, CA, USA

2. University of Utah, Salt Lake City, UT, USA

Publisher

ACM

Reference30 articles.

1. Computer vision technology permeates our daily lives. https://www.iotforall.com/computer-vision-applications-in-daily-life/. Accessed: 2018-09-01. Computer vision technology permeates our daily lives. https://www.iotforall.com/computer-vision-applications-in-daily-life/. Accessed: 2018-09-01.

2. An Evaluation of the Suitability of FPGAs for Embedded Vision Systems

3. Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks

4. Real-time and low latency embedded computer vision hardware based on a combination of FPGA and mobile CPU

5. High-Speed Hardware Implementation of Fixed and Runtime Variable Window Length 1-D Median Filters

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1. ArcvaVX: OpenVX Framework for Adaptive Reconfigurable Computer Vision Architectures;Applied Reconfigurable Computing. Architectures, Tools, and Applications;2023

2. DECISION: Distributing OpenVX Applications on CPUs, GPUs and FPGAs using OpenCL;2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2022-05

3. A cross-platform OpenVX library for FPGA accelerators;Journal of Systems Architecture;2022-02

4. FLOWER: A comprehensive dataflow compiler for high-level synthesis;2021 International Conference on Field-Programmable Technology (ICFPT);2021-12-06

5. A Parametrizable High-Level Synthesis Library for Accelerating Neural Networks on FPGAs;Journal of Signal Processing Systems;2021-03-15

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