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Qualcomm (Canada)

Canada

3 papers here98 citations across 3
fields
  • cs.CV2
  • cs.CC1
ROR 02ae31880OpenAlex

affiliations via OpenAlex

most citedA Quantization-Friendly Separable Convolution for MobileNets

76 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • Alwyn Dos Remedios1 · h 1
  • Amir H. Ashouri1 · h 13
  • Bahar Salamatian1 · h 2
  • Chen Feng1 · h 7
  • I. Shinkar1 · h 3
  • Liang Shen1 · h 8
  • M. Aleksic1 · h 3
  • M. Khodabandeh1 · h 1
  • Mohammad Jahanara1 · h 4
  • N. Rajgopal1 · h 5
  • Shaojie Zhuo1 · h 16
  • T. Abdelrahman1 · h 19
collaborating institutions
  • Qualcomm (United States)US1 paper
  • Simon Fraser UniversityCA1 paper
  • University of CambridgeGB1 paper
  • University of TorontoCA1 paper
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2018★ 18 cited

Fast On-the-fly Retraining-free Sparsification of Convolutional Neural Networks

Amir H. Ashouri, Tarek S. Abdelrahman, Alwyn Dos Remedios

Modern Convolutional Neural Networks (CNNs) are complex, encompassing millions of parameters. Their deployment exerts computational, storage and energy demands, particularly on emb…

cs.CV2018★ 76 cited

A Quantization-Friendly Separable Convolution for MobileNets

Tao Sheng, Chen Feng, Shaojie Zhuo +3

As deep learning (DL) is being rapidly pushed to edge computing, researchers invented various ways to make inference computation more efficient on mobile/IoT devices, such as netwo…

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