Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

The neuro vector engine: Flexibility to improve convolutional net efficiency for wearable vision.

M. Peemen, R. Shi, S. Lal, B. Juurlink, B. Mesman, and H. Corporaal. DATE, page 1604-1609. IEEE, (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Abhishekkumar Shingala University of Stuttgart

Ashkan Shiravand University of Stuttgart

Elizaveta Shishova University of Stuttgart

Lei Shi University of Stuttgart

Dachuan Shi University of Stuttgart

Other publications of authors with the same name

A programmable baseband processor for massive MIMO uplink multi-user detection.X. Qiu, L. Miao, R. Shi, Z. Wang, L. Liu, and D. Wu. ASICON, page 1-4. IEEE, (2015)FTDL: A Tailored FPGA-Overlay for Deep Learning with High Scalability.R. Shi, Y. Ding, X. Wei, H. Li, H. Liu, H. So, and C. Ding. DAC, page 1-6. IEEE, (2020)Adversarial Hardware With Functional and Topological Camouflage.H. Li, A. Abdelhadi, R. Shi, J. Zhang, and Q. Liu. IEEE Trans. Circuits Syst. II Express Briefs, 68 (5): 1685-1689 (2021)A Heterogeneous System for Real-Time Detection with AdaBoost.Z. Xu, R. Shi, Z. Sun, Y. Li, Y. Zhao, and C. Wu. HPCC/SmartCity/DSS, page 839-843. IEEE Computer Society, (2016)Ultra-low latency continuous block-parallel stream windowing using FPGA on-chip memory.J. Wong, R. Shi, M. Wang, and H. So. ICFPT, page 56-63. IEEE, (2017)A Locality Aware Convolutional Neural Networks Accelerator.R. Shi, Z. Xu, Z. Sun, M. Peemen, A. Li, H. Corporaal, and D. Wu. DSD, page 591-598. IEEE Computer Society, (2015)The neuro vector engine: Flexibility to improve convolutional net efficiency for wearable vision.M. Peemen, R. Shi, S. Lal, B. Juurlink, B. Mesman, and H. Corporaal. DATE, page 1604-1609. IEEE, (2016)A Real-Time Coprime Line Scan Super-Resolution System for Ultra-Fast Microscopy.R. Shi, J. Wong, E. Lam, K. Tsia, and H. So. IEEE Trans. Biomed. Circuits and Systems, 13 (4): 781-792 (2019)High-Throughput Line Buffer Microarchitecture for Arbitrary Sized Streaming Image Processing.R. Shi, J. Wong, and H. So. J. Imaging, 5 (3): 34 (2019)E-LSTM: Efficient Inference of Sparse LSTM on Embedded Heterogeneous System.R. Shi, J. Liu, H. So, S. Wang, and Y. Liang. DAC, page 182. ACM, (2019)

PUMA

Disambiguation of "Shi, Runbin"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

The neuro vector engine: Flexibility to improve convolutional net efficiency for wearable vision.

Please choose a person to relate this publication to

Abhishekkumar Shingala University of Stuttgart

Ashkan Shiravand University of Stuttgart

Elizaveta Shishova University of Stuttgart

Lei Shi University of Stuttgart

Dachuan Shi University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Shi, Runbin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML The neuro vector engine: Flexibility to improve convolutional net efficiency for wearable vision.

Please choose a person to relate this publication to

Abhishekkumar Shingala University of Stuttgart

Ashkan Shiravand University of Stuttgart

Elizaveta Shishova University of Stuttgart

Lei Shi University of Stuttgart

Dachuan Shi University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

The neuro vector engine: Flexibility to improve convolutional net efficiency for wearable vision.