Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

M. Emre Celebi 0001

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Ruili Wang

> Home > Persons > M. Emre Celebi 0001

Publications

2021
[j59]
- view
  authority control:
- export record
  dblp key:
  - journals/inffus/ShamsolmoaliZGZ21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/inffus/ShamsolmoaliZGZ21
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Huiyu Zhou, Ruili Wang, M. Emre Celebi, Jie Yang:
Image synthesis with adversarial networks: A comprehensive survey and case studies. Inf. Fusion 72: 126-146 (2021)
2020
[j53]
- view
  authority control:
- export record
  dblp key:
  - journals/jrtip/ShamsolmoaliCW20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jrtip/ShamsolmoaliCW20
Pourya Shamsolmoali, M. Emre Celebi, Ruili Wang:
Advances in deep learning for real-time image and video reconstruction and processing. J. Real Time Image Process. 17(6): 1883-1884 (2020)
[j52]
- view
  authority control:
- export record
  dblp key:
  - journals/nca/ShamsolmoaliCW20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/nca/ShamsolmoaliCW20
Pourya Shamsolmoali, M. Emre Celebi, Ruili Wang:
Deep learning approaches for real-time image super-resolution. Neural Comput. Appl. 32(18): 14519-14520 (2020)
[i24]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2012-13736
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2012-13736
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Huiyu Zhou, Ruili Wang, M. Emre Celebi, Jie Yang:
Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies. CoRR abs/2012.13736 (2020)

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.