Babol University of Medical Sciences

output

20112018

most citedTowards Principled Design of Deep Convolutional Networks: Introducing SimpNet

21 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.

A. Banijamali2 · h 15
A. Fathi2 · h 24
A. Mozaffari2 · h 21
B. Fazlpour2 · h 12
Ehsan Adeli1 · h 8
H. Khanpour1 · h 4
M. Ghasemkhani1 · h 9
M. Khatiri1 · h 2
M. Mohammadi1 · h 32
Mohammad Rouhani1 · h 11
Mohsen Fayyaz1
M. Sabokrou1 · h 26

collaborating institutions

University of WaterlooCA2 papers
Farhangian UniversityIR1 paper
Ferdowsi University of MashhadIR1 paper
Institute for Research in Fundamental SciencesIR1 paper
Institute of Technology of CambodiaKH1 paper
Islamic Azad University, Babol1 paper
Islamic Azad University of Ayatollah AmoliIR1 paper
Islamic Azad University, TehranIR1 paper
Shahid Beheshti UniversityIR1 paper
Technicolor (Germany)DE1 paper
University of BonnDE1 paper
University of MazandaranIR1 paper

Showing cs.CVShow all

1 paper · 1 filter

cs.CV2018★ 21 cited

Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet

Seyyed Hossein Hasanpour, Mohammad Rouhani, Mohsen Fayyaz +2

Major winning Convolutional Neural Networks (CNNs), such as VGGNet, ResNet, DenseNet, \etc, include tens to hundreds of millions of parameters, which impose considerable computatio…