---
_id: '4206'
author:
- first_name: Sanaullah
  full_name: Sanaullah, Sanaullah
  id: '248865'
  last_name: Sanaullah
  orcid: 0000-0003-4112-802X
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-4112-802X/work/157718021
- first_name: Amanullah
  full_name: Amanullah, Amanullah
  last_name: Amanullah
- first_name: 'Kaushik '
  full_name: 'Roy, Kaushik '
  last_name: Roy
- first_name: 'Jeong-A '
  full_name: 'Lee, Jeong-A '
  last_name: Lee
- first_name: 'Son '
  full_name: 'Chul-Jun, Son '
  last_name: Chul-Jun
- first_name: Thorsten
  full_name: Jungeblut, Thorsten
  id: '242294'
  last_name: Jungeblut
  orcid: 0000-0001-7425-8766
citation:
  alphadin: '<span style="font-variant:small-caps;">Sanaullah, Sanaullah</span> ;
    <span style="font-variant:small-caps;">Amanullah, Amanullah</span> ; <span style="font-variant:small-caps;">Roy,
    Kaushik </span> ; <span style="font-variant:small-caps;">Lee, Jeong-A </span>
    ; <span style="font-variant:small-caps;">Chul-Jun, Son </span> ; <span style="font-variant:small-caps;">Jungeblut,
    Thorsten</span>: A Hybrid Spiking-Convolutional Neural Network Approach for Advancing
    High-Quality Image Inpainting. In: , 2023'
  ama: 'Sanaullah S, Amanullah A, Roy K, Lee J-A, Chul-Jun S, Jungeblut T. A Hybrid
    Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image
    Inpainting. In: ; 2023. doi:<a href="https://doi.org/10.5281/zenodo.10458019">10.5281/zenodo.10458019</a>'
  apa: Sanaullah, S., Amanullah, A., Roy, K., Lee, J.-A., Chul-Jun, S., &#38; Jungeblut,
    T. (2023). A Hybrid Spiking-Convolutional Neural Network Approach for Advancing
    High-Quality Image Inpainting. Presented at the International Conference on Computer
    Vision (ICCV) 2023, Paris France. <a href="https://doi.org/10.5281/zenodo.10458019">https://doi.org/10.5281/zenodo.10458019</a>
  bibtex: '@inproceedings{Sanaullah_Amanullah_Roy_Lee_Chul-Jun_Jungeblut_2023, title={A
    Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality
    Image Inpainting}, DOI={<a href="https://doi.org/10.5281/zenodo.10458019">10.5281/zenodo.10458019</a>},
    author={Sanaullah, Sanaullah and Amanullah, Amanullah and Roy, Kaushik  and Lee,
    Jeong-A  and Chul-Jun, Son  and Jungeblut, Thorsten}, year={2023} }'
  chicago: Sanaullah, Sanaullah, Amanullah Amanullah, Kaushik  Roy, Jeong-A  Lee,
    Son  Chul-Jun, and Thorsten Jungeblut. “A Hybrid Spiking-Convolutional Neural
    Network Approach for Advancing High-Quality Image Inpainting,” 2023. <a href="https://doi.org/10.5281/zenodo.10458019">https://doi.org/10.5281/zenodo.10458019</a>.
  ieee: S. Sanaullah, A. Amanullah, K. Roy, J.-A. Lee, S. Chul-Jun, and T. Jungeblut,
    “A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality
    Image Inpainting,” presented at the International Conference on Computer Vision
    (ICCV) 2023, Paris France, 2023.
  mla: Sanaullah, Sanaullah, et al. <i>A Hybrid Spiking-Convolutional Neural Network
    Approach for Advancing High-Quality Image Inpainting</i>. 2023, doi:<a href="https://doi.org/10.5281/zenodo.10458019">10.5281/zenodo.10458019</a>.
  short: 'S. Sanaullah, A. Amanullah, K. Roy, J.-A. Lee, S. Chul-Jun, T. Jungeblut,
    in: 2023.'
conference:
  end_date: 2023-10-6
  location: Paris France
  name: International Conference on Computer Vision (ICCV) 2023
  start_date: 2023-10-2
date_created: 2024-01-04T13:04:42Z
date_updated: 2026-03-17T15:28:57Z
doi: 10.5281/zenodo.10458019
external_id:
  zenodo:
  - 10.5281/zenodo.10458018
keyword:
- hybrid SC-NN
- SNN
- CNN
- Machine Learning
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.researchgate.net/publication/377117919_A_Hybrid_Spiking-Convolutional_Neural_Network_Approach_for_Advancing_High-Quality_Image_Inpainting
oa: '1'
project:
- _id: beb248c8-cd75-11ed-b77c-e432b4711f7b
  name: Institut für Systemdynamik und Mechatronik
publication_status: published
status: public
title: A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality
  Image Inpainting
type: conference_abstract
user_id: '242294'
year: '2023'
...