---
_id: '5274'
author:
- first_name: Philipp
full_name: Viertel, Philipp
id: '216274'
last_name: Viertel
orcid: 0000-0002-7274-4290
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-7274-4290/work/175186247
citation:
alphadin: 'Viertel, Philipp: KI-basierte
Bildverarbeitung in der Palynologie (Pollenkunde). In: , 2024'
ama: 'Viertel P. KI-basierte Bildverarbeitung in der Palynologie (Pollenkunde).
In: ; 2024.'
apa: Viertel, P. (2024). KI-basierte Bildverarbeitung in der Palynologie (Pollenkunde).
Presented at the Doktorandenkolloquium PK NRW, HS Niederrhein, Krefeld.
bibtex: '@inproceedings{Viertel_2024, title={KI-basierte Bildverarbeitung in der
Palynologie (Pollenkunde)}, author={Viertel, Philipp}, year={2024} }'
chicago: Viertel, Philipp. “KI-basierte Bildverarbeitung in der Palynologie (Pollenkunde),”
2024.
ieee: P. Viertel, “KI-basierte Bildverarbeitung in der Palynologie (Pollenkunde),”
presented at the Doktorandenkolloquium PK NRW, HS Niederrhein, Krefeld, 2024.
mla: Viertel, Philipp. KI-basierte Bildverarbeitung in der Palynologie (Pollenkunde).
2024.
short: 'P. Viertel, in: 2024.'
conference:
end_date: 2024-05-17
location: HS Niederrhein, Krefeld
name: Doktorandenkolloquium PK NRW
start_date: 2024-05-17
date_created: 2025-01-07T16:13:59Z
date_updated: 2026-03-17T15:29:16Z
language:
- iso: ger
status: public
title: KI-basierte Bildverarbeitung in der Palynologie (Pollenkunde)
type: conference_abstract
user_id: '220548'
year: '2024'
...
---
_id: '5275'
author:
- first_name: Philipp
full_name: Viertel, Philipp
id: '216274'
last_name: Viertel
orcid: 0000-0002-7274-4290
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-7274-4290/work/175186519
citation:
alphadin: 'Viertel, Philipp: KI-basierte
Bildverarbeitung in der Palynologie (Pollenkunde). In: , 2024'
ama: 'Viertel P. KI-basierte Bildverarbeitung in der Palynologie (Pollenkunde).
In: ; 2024.'
apa: Viertel, P. (2024). KI-basierte Bildverarbeitung in der Palynologie (Pollenkunde).
Presented at the Forschungskolloquium HSBI, Minden.
bibtex: '@inproceedings{Viertel_2024, title={KI-basierte Bildverarbeitung in der
Palynologie (Pollenkunde)}, author={Viertel, Philipp}, year={2024} }'
chicago: Viertel, Philipp. “KI-Basierte Bildverarbeitung in Der Palynologie (Pollenkunde),”
2024.
ieee: P. Viertel, “KI-basierte Bildverarbeitung in der Palynologie (Pollenkunde),”
presented at the Forschungskolloquium HSBI, Minden, 2024.
mla: Viertel, Philipp. KI-Basierte Bildverarbeitung in Der Palynologie (Pollenkunde).
2024.
short: 'P. Viertel, in: 2024.'
conference:
end_date: 2024-04-10
location: Minden
name: Forschungskolloquium HSBI
start_date: 2024-04-10
date_created: 2025-01-07T16:17:23Z
date_updated: 2026-03-17T15:29:16Z
language:
- iso: eng
status: public
title: KI-basierte Bildverarbeitung in der Palynologie (Pollenkunde)
type: conference_abstract
user_id: '220548'
year: '2024'
...
---
_id: '2292'
author:
- first_name: Philipp
full_name: Viertel, Philipp
id: '216274'
last_name: Viertel
orcid: 0000-0002-7274-4290
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-7274-4290/work/181737429
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
orcid: 0000-0002-4915-0750
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4915-0750/work/181737430
- first_name: Jan
full_name: Rexilius, Jan
id: '245736'
last_name: Rexilius
orcid: 0000-0002-4579-214X
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4579-214X/work/181737431
citation:
alphadin: 'Viertel, Philipp ; König, Matthias ; Rexilius,
Jan: Metric-Based Few-Shot Learning for Pollen Grain Image Classification.
In: De Marsico, M. ; Sanniti
di Baja, G. ; Fred , A. (Hrsg.):
Proceedings of the 12th International Conference on Pattern Recognition Applications
and Methods - ICPRAM, 2023, S. 418–425'
ama: 'Viertel P, König M, Rexilius J. Metric-Based Few-Shot Learning for Pollen
Grain Image Classification. In: De Marsico M, Sanniti di Baja G, Fred A, eds.
Proceedings of the 12th International Conference on Pattern Recognition Applications
and Methods - ICPRAM. ; 2023:418-425. doi:10.5220/0011727900003411'
apa: Viertel, P., König, M., & Rexilius, J. (2023). Metric-Based Few-Shot Learning
for Pollen Grain Image Classification. In M. De Marsico, G. Sanniti di Baja, &
A. Fred (Eds.), Proceedings of the 12th International Conference on Pattern
Recognition Applications and Methods - ICPRAM (pp. 418–425). Lisbon, Portugal.
https://doi.org/10.5220/0011727900003411
bibtex: '@inproceedings{Viertel_König_Rexilius_2023, title={Metric-Based Few-Shot
Learning for Pollen Grain Image Classification}, DOI={10.5220/0011727900003411},
booktitle={Proceedings of the 12th International Conference on Pattern Recognition
Applications and Methods - ICPRAM}, author={Viertel, Philipp and König, Matthias
and Rexilius, Jan}, editor={De Marsico, Maria and Sanniti di Baja, Gabriella and
Fred , AnaEditors}, year={2023}, pages={418–425} }'
chicago: Viertel, Philipp, Matthias König, and Jan Rexilius. “Metric-Based Few-Shot
Learning for Pollen Grain Image Classification.” In Proceedings of the 12th
International Conference on Pattern Recognition Applications and Methods - ICPRAM,
edited by Maria De Marsico, Gabriella Sanniti di Baja, and Ana Fred , 418–25,
2023. https://doi.org/10.5220/0011727900003411.
ieee: P. Viertel, M. König, and J. Rexilius, “Metric-Based Few-Shot Learning for
Pollen Grain Image Classification,” in Proceedings of the 12th International
Conference on Pattern Recognition Applications and Methods - ICPRAM, Lisbon,
Portugal, 2023, pp. 418–425.
mla: Viertel, Philipp, et al. “Metric-Based Few-Shot Learning for Pollen Grain Image
Classification.” Proceedings of the 12th International Conference on Pattern
Recognition Applications and Methods - ICPRAM, edited by Maria De Marsico
et al., 2023, pp. 418–25, doi:10.5220/0011727900003411.
short: 'P. Viertel, M. König, J. Rexilius, in: M. De Marsico, G. Sanniti di Baja,
A. Fred (Eds.), Proceedings of the 12th International Conference on Pattern Recognition
Applications and Methods - ICPRAM, 2023, pp. 418–425.'
conference:
end_date: 2023-02-24
location: Lisbon, Portugal
name: 12th International Conference on Pattern Recognition Applications and Methods
start_date: 2023-02-22
date_created: 2023-01-09T09:05:03Z
date_updated: 2026-03-17T15:28:31Z
department:
- _id: '102'
doi: 10.5220/0011727900003411
editor:
- first_name: 'Maria '
full_name: 'De Marsico, Maria '
last_name: De Marsico
- first_name: 'Gabriella '
full_name: 'Sanniti di Baja, Gabriella '
last_name: Sanniti di Baja
- first_name: Ana
full_name: Fred , Ana
last_name: 'Fred '
language:
- iso: eng
page: 418-425
publication: Proceedings of the 12th International Conference on Pattern Recognition
Applications and Methods - ICPRAM
publication_identifier:
isbn:
- 978-989-758-626-2
publication_status: published
quality_controlled: '1'
status: public
title: Metric-Based Few-Shot Learning for Pollen Grain Image Classification
type: conference
user_id: '245736'
year: '2023'
...
---
_id: '1533'
author:
- first_name: Philipp
full_name: Viertel, Philipp
id: '216274'
last_name: Viertel
orcid: 0000-0002-7274-4290
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
orcid: 0000-0002-4915-0750
citation:
alphadin: 'Viertel, Philipp ; König, Matthias: Pattern Recognition Methodologies
for Pollen Grain Image Classification: A Survey. In: Machine Vision and Applications
Bd. 33, Springer (2022)'
ama: 'Viertel P, König M. Pattern Recognition Methodologies for Pollen Grain Image
Classification: A Survey. Machine Vision and Applications. 2022;33. doi:10.1007/s00138-021-01271-w'
apa: 'Viertel, P., & König, M. (2022). Pattern Recognition Methodologies for
Pollen Grain Image Classification: A Survey. Machine Vision and Applications,
33. https://doi.org/10.1007/s00138-021-01271-w'
bibtex: '@article{Viertel_König_2022, title={Pattern Recognition Methodologies for
Pollen Grain Image Classification: A Survey}, volume={33}, DOI={10.1007/s00138-021-01271-w},
journal={Machine Vision and Applications}, publisher={Springer}, author={Viertel,
Philipp and König, Matthias}, year={2022} }'
chicago: 'Viertel, Philipp, and Matthias König. “Pattern Recognition Methodologies
for Pollen Grain Image Classification: A Survey.” Machine Vision and Applications
33 (2022). https://doi.org/10.1007/s00138-021-01271-w.'
ieee: 'P. Viertel and M. König, “Pattern Recognition Methodologies for Pollen Grain
Image Classification: A Survey,” Machine Vision and Applications, vol.
33, 2022.'
mla: 'Viertel, Philipp, and Matthias König. “Pattern Recognition Methodologies for
Pollen Grain Image Classification: A Survey.” Machine Vision and Applications,
vol. 33, Springer, 2022, doi:10.1007/s00138-021-01271-w.'
short: P. Viertel, M. König, Machine Vision and Applications 33 (2022).
date_created: 2021-11-10T12:18:04Z
date_updated: 2026-03-17T15:28:22Z
department:
- _id: '102'
doi: 10.1007/s00138-021-01271-w
intvolume: ' 33'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1007/s00138-021-01271-w
oa: '1'
publication: Machine Vision and Applications
publication_status: published
publisher: Springer
status: public
title: 'Pattern Recognition Methodologies for Pollen Grain Image Classification: A
Survey'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: '245590'
volume: 33
year: '2022'
...
---
_id: '1548'
author:
- first_name: Philipp
full_name: Viertel, Philipp
id: '216274'
last_name: Viertel
orcid: 0000-0002-7274-4290
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-7274-4290/work/181737319
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
orcid: 0000-0002-4915-0750
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4915-0750/work/181737323
- first_name: Jan
full_name: Rexilius, Jan
id: '245736'
last_name: Rexilius
orcid: 0000-0002-4579-214X
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4579-214X/work/181737329
citation:
alphadin: 'Viertel, Philipp ; König, Matthias ; Rexilius,
Jan: Pollen detection from honey sediments via Region-Based Convolutional
Neural Networks. In: Gesellschaft für Informatik
in der Land- Forst- und Ernährungswirtschaft e.V. (Hrsg.): 42. GIL-Jahrestagung,
Künstliche Intelligenz in der Agrar- und Ernährungswirtschaft - Komplettband.
Bonn : Gesellschaft für Informatik e.V., 2022, S. 301–306'
ama: 'Viertel P, König M, Rexilius J. Pollen detection from honey sediments via
Region-Based Convolutional Neural Networks. In: Gesellschaft für Informatik in
der Land- Forst- und Ernährungswirtschaft e.V., ed. 42. GIL-Jahrestagung, Künstliche
Intelligenz in Der Agrar- Und Ernährungswirtschaft - Komplettband. Bonn: Gesellschaft
für Informatik e.V.; 2022:301-306.'
apa: 'Viertel, P., König, M., & Rexilius, J. (2022). Pollen detection from honey
sediments via Region-Based Convolutional Neural Networks. In Gesellschaft für
Informatik in der Land- Forst- und Ernährungswirtschaft e.V. (Ed.), 42. GIL-Jahrestagung,
Künstliche Intelligenz in der Agrar- und Ernährungswirtschaft - Komplettband
(pp. 301–306). Bonn: Gesellschaft für Informatik e.V.'
bibtex: '@inproceedings{Viertel_König_Rexilius_2022, place={Bonn}, title={Pollen
detection from honey sediments via Region-Based Convolutional Neural Networks},
booktitle={42. GIL-Jahrestagung, Künstliche Intelligenz in der Agrar- und Ernährungswirtschaft
- Komplettband}, publisher={Gesellschaft für Informatik e.V.}, author={Viertel,
Philipp and König, Matthias and Rexilius, Jan}, editor={Gesellschaft für Informatik
in der Land- Forst- und Ernährungswirtschaft e.V.Editor}, year={2022}, pages={301–306}
}'
chicago: 'Viertel, Philipp, Matthias König, and Jan Rexilius. “Pollen Detection
from Honey Sediments via Region-Based Convolutional Neural Networks.” In 42.
GIL-Jahrestagung, Künstliche Intelligenz in Der Agrar- Und Ernährungswirtschaft
- Komplettband, edited by Gesellschaft für Informatik in der Land- Forst-
und Ernährungswirtschaft e.V., 301–6. Bonn: Gesellschaft für Informatik e.V.,
2022.'
ieee: P. Viertel, M. König, and J. Rexilius, “Pollen detection from honey sediments
via Region-Based Convolutional Neural Networks,” in 42. GIL-Jahrestagung, Künstliche
Intelligenz in der Agrar- und Ernährungswirtschaft - Komplettband, Tänikon,
Ettenhausen, Schweiz, 2022, pp. 301–306.
mla: Viertel, Philipp, et al. “Pollen Detection from Honey Sediments via Region-Based
Convolutional Neural Networks.” 42. GIL-Jahrestagung, Künstliche Intelligenz
in Der Agrar- Und Ernährungswirtschaft - Komplettband, edited by Gesellschaft
für Informatik in der Land- Forst- und Ernährungswirtschaft e.V., Gesellschaft
für Informatik e.V., 2022, pp. 301–06.
short: 'P. Viertel, M. König, J. Rexilius, in: Gesellschaft für Informatik in der
Land- Forst- und Ernährungswirtschaft e.V. (Ed.), 42. GIL-Jahrestagung, Künstliche
Intelligenz in Der Agrar- Und Ernährungswirtschaft - Komplettband, Gesellschaft
für Informatik e.V., Bonn, 2022, pp. 301–306.'
conference:
end_date: 2022-02-22
location: Tänikon, Ettenhausen, Schweiz
name: Was bedeutet Künstliche Intelligenz für Agrar- und Ernährungswirtschaft?
start_date: 2022-02-21
corporate_editor:
- Gesellschaft für Informatik in der Land- Forst- und Ernährungswirtschaft e.V.
date_created: 2021-12-06T09:13:54Z
date_updated: 2026-03-17T15:28:22Z
department:
- _id: '102'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://dl.gi.de/bitstream/handle/20.500.12116/38415/GIL2022_Viertel_301-306.pdf?sequence=1&isAllowed=y
oa: '1'
page: 301-306
place: Bonn
publication: 42. GIL-Jahrestagung, Künstliche Intelligenz in der Agrar- und Ernährungswirtschaft
- Komplettband
publication_identifier:
isbn:
- 978-3-88579-711-1
publication_status: published
publisher: Gesellschaft für Informatik e.V.
quality_controlled: '1'
status: public
title: Pollen detection from honey sediments via Region-Based Convolutional Neural
Networks
type: conference
user_id: '245736'
year: '2022'
...
---
_id: '1531'
alternative_id:
- '1289'
author:
- first_name: Philipp
full_name: Viertel, Philipp
id: '216274'
last_name: Viertel
orcid: 0000-0002-7274-4290
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
orcid: 0000-0002-4915-0750
citation:
alphadin: 'Viertel, Philipp ; König, Matthias: Deep Learning in palynology
– A use case for automated visual classification of pollen grains from honey samples.
In: Gesellschaft für Informatik
(Hrsg.): Referate der 41. GIL-Jahrestagung. Bonn, 2021, S. 331–336'
ama: 'Viertel P, König M. Deep Learning in palynology – A use case for automated
visual classification of pollen grains from honey samples. In: Gesellschaft für
Informatik, ed. Referate Der 41. GIL-Jahrestagung. Bonn; 2021:331-336.'
apa: Viertel, P., & König, M. (2021). Deep Learning in palynology – A use case
for automated visual classification of pollen grains from honey samples. In Gesellschaft
für Informatik (Ed.), Referate der 41. GIL-Jahrestagung (pp. 331–336).
Bonn.
bibtex: '@inproceedings{Viertel_König_2021, place={Bonn}, title={Deep Learning in
palynology – A use case for automated visual classification of pollen grains from
honey samples}, booktitle={Referate der 41. GIL-Jahrestagung}, author={Viertel,
Philipp and König, Matthias}, editor={Gesellschaft für InformatikEditor}, year={2021},
pages={331–336} }'
chicago: Viertel, Philipp, and Matthias König. “Deep Learning in Palynology – A
Use Case for Automated Visual Classification of Pollen Grains from Honey Samples.”
In Referate Der 41. GIL-Jahrestagung, edited by Gesellschaft für Informatik,
331–36. Bonn, 2021.
ieee: P. Viertel and M. König, “Deep Learning in palynology – A use case for automated
visual classification of pollen grains from honey samples,” in Referate der
41. GIL-Jahrestagung, Potsdam, Online, 2021, pp. 331–336.
mla: Viertel, Philipp, and Matthias König. “Deep Learning in Palynology – A Use
Case for Automated Visual Classification of Pollen Grains from Honey Samples.”
Referate Der 41. GIL-Jahrestagung, edited by Gesellschaft für Informatik,
2021, pp. 331–36.
short: 'P. Viertel, M. König, in: Gesellschaft für Informatik (Ed.), Referate Der
41. GIL-Jahrestagung, Bonn, 2021, pp. 331–336.'
conference:
end_date: 2021-03-09
location: Potsdam, Online
name: Informations- und Kommunikationstechnologien in kritischen Zeiten
start_date: 2021-03-08
corporate_editor:
- Gesellschaft für Informatik
date_created: 2021-11-10T12:09:04Z
date_updated: 2026-03-17T15:28:22Z
department:
- _id: '102'
language:
- iso: eng
main_file_link:
- url: https://dl.gi.de/items/65681cbc-370c-4480-b3c1-9fd724f84c56
page: 331-336
place: Bonn
publication: Referate der 41. GIL-Jahrestagung
publication_identifier:
isbn:
- 978-3-88579-703-6
publication_status: published
status: public
title: Deep Learning in palynology – A use case for automated visual classification
of pollen grains from honey samples
type: conference
user_id: '220548'
year: '2021'
...
---
_id: '1532'
author:
- first_name: Philipp
full_name: Viertel, Philipp
id: '216274'
last_name: Viertel
orcid: 0000-0002-7274-4290
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
orcid: 0000-0002-4915-0750
- first_name: Jan
full_name: Rexilius, Jan
id: '245736'
last_name: Rexilius
orcid: 0000-0002-4579-214X
citation:
alphadin: 'Viertel, Philipp ; König, Matthias ; Rexilius,
Jan: PollenGAN: Synthetic Pollen Grain Image Generation for Data Augmentation.
In: 20th IEEE International Conference on Machine Learning and Applications
(ICMLA), 2021'
ama: 'Viertel P, König M, Rexilius J. PollenGAN: Synthetic Pollen Grain Image Generation
for Data Augmentation. In: 20th IEEE International Conference on Machine Learning
and Applications (ICMLA). ; 2021. doi:10.1109/ICMLA52953.2021.00015'
apa: 'Viertel, P., König, M., & Rexilius, J. (2021). PollenGAN: Synthetic Pollen
Grain Image Generation for Data Augmentation. In 20th IEEE International Conference
on Machine Learning and Applications (ICMLA). Pasadena, California, USA. https://doi.org/10.1109/ICMLA52953.2021.00015'
bibtex: '@inproceedings{Viertel_König_Rexilius_2021, title={PollenGAN: Synthetic
Pollen Grain Image Generation for Data Augmentation}, DOI={10.1109/ICMLA52953.2021.00015},
booktitle={20th IEEE International Conference on Machine Learning and Applications
(ICMLA)}, author={Viertel, Philipp and König, Matthias and Rexilius, Jan}, year={2021}
}'
chicago: 'Viertel, Philipp, Matthias König, and Jan Rexilius. “PollenGAN: Synthetic
Pollen Grain Image Generation for Data Augmentation.” In 20th IEEE International
Conference on Machine Learning and Applications (ICMLA), 2021. https://doi.org/10.1109/ICMLA52953.2021.00015.'
ieee: 'P. Viertel, M. König, and J. Rexilius, “PollenGAN: Synthetic Pollen Grain
Image Generation for Data Augmentation,” in 20th IEEE International Conference
on Machine Learning and Applications (ICMLA), Pasadena, California, USA, 2021.'
mla: 'Viertel, Philipp, et al. “PollenGAN: Synthetic Pollen Grain Image Generation
for Data Augmentation.” 20th IEEE International Conference on Machine Learning
and Applications (ICMLA), 2021, doi:10.1109/ICMLA52953.2021.00015.'
short: 'P. Viertel, M. König, J. Rexilius, in: 20th IEEE International Conference
on Machine Learning and Applications (ICMLA), 2021.'
conference:
end_date: 2021-12-16
location: Pasadena, California, USA
name: 20th IEEE International Conference on Machine Learning and Applications (ICMLA)
start_date: 2021-12-13
date_created: 2021-11-10T12:14:32Z
date_updated: 2026-03-17T15:28:22Z
department:
- _id: '102'
doi: 10.1109/ICMLA52953.2021.00015
language:
- iso: eng
publication: 20th IEEE International Conference on Machine Learning and Applications
(ICMLA)
publication_status: published
status: public
title: 'PollenGAN: Synthetic Pollen Grain Image Generation for Data Augmentation'
type: conference
user_id: '220548'
year: '2021'
...
---
_id: '1282'
author:
- first_name: Dennis
full_name: Sprute, Dennis
last_name: Sprute
- first_name: Philipp
full_name: Viertel, Philipp
id: '216274'
last_name: Viertel
orcid: 0000-0002-7274-4290
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-7274-4290/work/168747086
- first_name: Klaus
full_name: Tönnies, Klaus
last_name: Tönnies
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
orcid: 0000-0002-4915-0750
citation:
alphadin: 'Sprute, Dennis ; Viertel, Philipp ; Tönnies,
Klaus ; König, Matthias:
Learning Virtual Borders through Semantic Scene Understanding and Augmented Reality.
In: IEEE (Hrsg.): 2019 IEEE/RSJ
International Conference on Intelligent Robots and Systems (IROS) : IEEE,
2019, S. 4607–4614'
ama: 'Sprute D, Viertel P, Tönnies K, König M. Learning Virtual Borders through
Semantic Scene Understanding and Augmented Reality. In: IEEE, ed. 2019 IEEE/RSJ
International Conference on Intelligent Robots and Systems (IROS). IEEE; 2019:4607-4614.
doi:10.1109/IROS40897.2019.8967576'
apa: 'Sprute, D., Viertel, P., Tönnies, K., & König, M. (2019). Learning Virtual
Borders through Semantic Scene Understanding and Augmented Reality. In IEEE (Ed.),
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
(pp. 4607–4614). Macau, China: IEEE. https://doi.org/10.1109/IROS40897.2019.8967576'
bibtex: '@inproceedings{Sprute_Viertel_Tönnies_König_2019, title={Learning Virtual
Borders through Semantic Scene Understanding and Augmented Reality}, DOI={10.1109/IROS40897.2019.8967576},
booktitle={2019 IEEE/RSJ International Conference on Intelligent Robots and Systems
(IROS)}, publisher={IEEE}, author={Sprute, Dennis and Viertel, Philipp and Tönnies,
Klaus and König, Matthias}, editor={IEEEEditor}, year={2019}, pages={4607–4614}
}'
chicago: Sprute, Dennis, Philipp Viertel, Klaus Tönnies, and Matthias König. “Learning
Virtual Borders through Semantic Scene Understanding and Augmented Reality.” In
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),
edited by IEEE, 4607–14. IEEE, 2019. https://doi.org/10.1109/IROS40897.2019.8967576.
ieee: D. Sprute, P. Viertel, K. Tönnies, and M. König, “Learning Virtual Borders
through Semantic Scene Understanding and Augmented Reality,” in 2019 IEEE/RSJ
International Conference on Intelligent Robots and Systems (IROS), Macau,
China, 2019, pp. 4607–4614.
mla: Sprute, Dennis, et al. “Learning Virtual Borders through Semantic Scene Understanding
and Augmented Reality.” 2019 IEEE/RSJ International Conference on Intelligent
Robots and Systems (IROS), edited by IEEE, IEEE, 2019, pp. 4607–14, doi:10.1109/IROS40897.2019.8967576.
short: 'D. Sprute, P. Viertel, K. Tönnies, M. König, in: IEEE (Ed.), 2019 IEEE/RSJ
International Conference on Intelligent Robots and Systems (IROS), IEEE, 2019,
pp. 4607–4614.'
conference:
end_date: 2019-11-08
location: Macau, China
name: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
start_date: 2019-11-03
corporate_editor:
- IEEE
date_created: 2021-06-05T15:09:38Z
date_updated: 2026-03-17T15:28:18Z
department:
- _id: '102'
doi: 10.1109/IROS40897.2019.8967576
language:
- iso: eng
page: 4607-4614
publication: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems
(IROS)
publication_identifier:
eisbn:
- 978-1-7281-4004-9
publication_status: published
publisher: IEEE
status: public
title: Learning Virtual Borders through Semantic Scene Understanding and Augmented
Reality
type: conference
user_id: '220548'
year: '2019'
...
---
_id: '1534'
alternative_id:
- '1273'
author:
- first_name: Philipp
full_name: Viertel, Philipp
id: '216274'
last_name: Viertel
orcid: 0000-0002-7274-4290
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-7274-4290/work/174101743
- first_name: Mattis
full_name: Küper, Mattis
last_name: Küper
- first_name: Joshua
full_name: Wiegmann, Joshua
last_name: Wiegmann
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
orcid: 0000-0002-4915-0750
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4915-0750/work/174101744
citation:
alphadin: 'Viertel, Philipp ; Küper, Mattis ; Wiegmann,
Joshua ; König, Matthias:
Determining room usage through a multi-sensor system and machine learning. In:
Zender, R. ; Lucke,
U. ; Haase, J. ; von
der Heyde, M. ; Leitner, G.
; Meyer, W. (Hrsg.): Proceedings
of the Workshop „Lernen und Arbeiten im Wandel“, 2018, S. 59–73'
ama: 'Viertel P, Küper M, Wiegmann J, König M. Determining room usage through a
multi-sensor system and machine learning. In: Zender R, Lucke U, Haase J, von
der Heyde M, Leitner G, Meyer W, eds. Proceedings of the Workshop „Lernen Und
Arbeiten Im Wandel“. ; 2018:59-73.'
apa: Viertel, P., Küper, M., Wiegmann, J., & König, M. (2018). Determining room
usage through a multi-sensor system and machine learning. In R. Zender, U. Lucke,
J. Haase, M. von der Heyde, G. Leitner, & W. Meyer (Eds.), Proceedings
of the Workshop „Lernen und Arbeiten im Wandel“ (pp. 59–73). Potsdam.
bibtex: '@inproceedings{Viertel_Küper_Wiegmann_König_2018, title={Determining room
usage through a multi-sensor system and machine learning}, booktitle={Proceedings
of the Workshop „Lernen und Arbeiten im Wandel“}, author={Viertel, Philipp and
Küper, Mattis and Wiegmann, Joshua and König, Matthias}, editor={Zender, Raphael
and Lucke, Ulrike and Haase, Jan and von der Heyde, Markus and Leitner, Gerhard
and Meyer, WolfgangEditors}, year={2018}, pages={59–73} }'
chicago: Viertel, Philipp, Mattis Küper, Joshua Wiegmann, and Matthias König. “Determining
Room Usage through a Multi-Sensor System and Machine Learning.” In Proceedings
of the Workshop „Lernen Und Arbeiten Im Wandel“, edited by Raphael Zender,
Ulrike Lucke, Jan Haase, Markus von der Heyde, Gerhard Leitner, and Wolfgang Meyer,
59–73, 2018.
ieee: P. Viertel, M. Küper, J. Wiegmann, and M. König, “Determining room usage through
a multi-sensor system and machine learning,” in Proceedings of the Workshop
„Lernen und Arbeiten im Wandel“, Potsdam, 2018, pp. 59–73.
mla: Viertel, Philipp, et al. “Determining Room Usage through a Multi-Sensor System
and Machine Learning.” Proceedings of the Workshop „Lernen Und Arbeiten Im
Wandel“, edited by Raphael Zender et al., 2018, pp. 59–73.
short: 'P. Viertel, M. Küper, J. Wiegmann, M. König, in: R. Zender, U. Lucke, J.
Haase, M. von der Heyde, G. Leitner, W. Meyer (Eds.), Proceedings of the Workshop
„Lernen Und Arbeiten Im Wandel“, 2018, pp. 59–73.'
conference:
end_date: 25.09.2018
location: Potsdam
start_date: 25.09.2018
date_created: 2021-11-10T12:35:07Z
date_updated: 2026-03-17T15:28:22Z
editor:
- first_name: Raphael
full_name: Zender, Raphael
last_name: Zender
- first_name: Ulrike
full_name: Lucke, Ulrike
last_name: Lucke
- first_name: Jan
full_name: Haase, Jan
last_name: Haase
- first_name: Markus
full_name: von der Heyde, Markus
last_name: von der Heyde
- first_name: Gerhard
full_name: Leitner, Gerhard
last_name: Leitner
- first_name: Wolfgang
full_name: Meyer, Wolfgang
last_name: Meyer
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://ceur-ws.org/Vol-2232/paper5.pdf
oa: '1'
page: 59-73
publication: Proceedings of the Workshop „Lernen und Arbeiten im Wandel“
publication_status: published
status: public
title: Determining room usage through a multi-sensor system and machine learning
type: conference
user_id: '35437'
year: '2018'
...