---
_id: '4205'
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/157718005
- first_name: 'Shamini '
  full_name: 'Koravuna, Shamini '
  last_name: Koravuna
- first_name: 'Ulrich '
  full_name: 'Rückert, Ulrich '
  last_name: Rückert
- 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;">Koravuna, Shamini </span> ; <span style="font-variant:small-caps;">Rückert,
    Ulrich </span> ; <span style="font-variant:small-caps;">Jungeblut, Thorsten</span>:
    A Novel Spike Vision Approach for Robust Multi-Object Detection using SNNs. In:
    , 2023'
  ama: 'Sanaullah S, Koravuna S, Rückert U, Jungeblut T. A Novel Spike Vision Approach
    for Robust Multi-Object Detection using SNNs. In: ; 2023. doi:<a href="https://doi.org/10.5281/zenodo.10262228">10.5281/zenodo.10262228</a>'
  apa: 'Sanaullah, S., Koravuna, S., Rückert, U., &#38; Jungeblut, T. (2023). A Novel
    Spike Vision Approach for Robust Multi-Object Detection using SNNs. Presented
    at the Conference: Novel Trends in Data Science 2023, Congressi Stefano Franscini
    at Monte Verità in Ticino, Switzerland. <a href="https://doi.org/10.5281/zenodo.10262228">https://doi.org/10.5281/zenodo.10262228</a>'
  bibtex: '@inproceedings{Sanaullah_Koravuna_Rückert_Jungeblut_2023, title={A Novel
    Spike Vision Approach for Robust Multi-Object Detection using SNNs}, DOI={<a href="https://doi.org/10.5281/zenodo.10262228">10.5281/zenodo.10262228</a>},
    author={Sanaullah, Sanaullah and Koravuna, Shamini  and Rückert, Ulrich  and Jungeblut,
    Thorsten}, year={2023} }'
  chicago: Sanaullah, Sanaullah, Shamini  Koravuna, Ulrich  Rückert, and Thorsten
    Jungeblut. “A Novel Spike Vision Approach for Robust Multi-Object Detection Using
    SNNs,” 2023. <a href="https://doi.org/10.5281/zenodo.10262228">https://doi.org/10.5281/zenodo.10262228</a>.
  ieee: 'S. Sanaullah, S. Koravuna, U. Rückert, and T. Jungeblut, “A Novel Spike Vision
    Approach for Robust Multi-Object Detection using SNNs,” presented at the Conference:
    Novel Trends in Data Science 2023, Congressi Stefano Franscini at Monte Verità
    in Ticino, Switzerland, 2023.'
  mla: Sanaullah, Sanaullah, et al. <i>A Novel Spike Vision Approach for Robust Multi-Object
    Detection Using SNNs</i>. 2023, doi:<a href="https://doi.org/10.5281/zenodo.10262228">10.5281/zenodo.10262228</a>.
  short: 'S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, in: 2023.'
conference:
  end_date: 2023-10-25
  location: Congressi Stefano Franscini at Monte Verità in Ticino, Switzerland
  name: 'Conference: Novel Trends in Data Science 2023'
  start_date: 2023-10-22
date_created: 2024-01-04T13:00:57Z
date_updated: 2026-03-17T15:28:57Z
doi: 10.5281/zenodo.10262228
external_id:
  zenodo:
  - 10.5281/zenodo.10262227
keyword:
- Spiking Neural Network
- Neural Network
- Object Detection
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.researchgate.net/publication/376229340_A_Novel_Spike_Vision_Approach_for_Robust_Multi-Object_Detection_Using_SNNs
oa: '1'
project:
- _id: beb248c8-cd75-11ed-b77c-e432b4711f7b
  name: Institut für Systemdynamik und Mechatronik
publication_status: published
status: public
title: A Novel Spike Vision Approach for Robust Multi-Object Detection using SNNs
type: conference
user_id: '242294'
year: '2023'
...