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