Deep Vision Systems

The research field is concerned with the design, analysis, and use of intelligent information systems based on deep learning methods in the field of computer vision.

Publications

• Heinrich K., Zschech P., Möller B., Breithaupt L., Maresch J.:
  Objekterkennung im Weinanbau – Eine Fallstudie zur Unterstützung von Winzertätigkeiten mithilfe von Deep Learning
  In: HMD : Praxis der Wirtschaftsinformatik 56 (2019), p. 964-985
  ISSN: 1436-3011
  DOI: 10.1365/s40702-019-00514-9
  URL: https://link.springer.com/article/10.1365/s40702-019-00514-9
• Zschech P., Sager C., Siebers P., Pertermann M.:
  Mit Computer Vision zur automatisierten Qualitätssicherung in der industriellen Fertigung: Eine Fallstudie zur Klassifizierung von Fehlern in Solarzellen mittels Elektrolumineszenz-Bildern
  In: HMD : Praxis der Wirtschaftsinformatik (2021), p. 321–342
  ISSN: 1436-3011
  DOI: 10.1365/s40702-020-00641-8
  URL: https://link.springer.com/article/10.1365/s40702-020-00641-8
• Heinrich K., Roth A., Zschech P.:
  Everything Counts: A Taxonomy of Deep Learning Approaches for Object Counting
  27th European Conference on Information Systems (ECIS) (Stockholm & Uppsala, 8. June 2019 - 14. June 2019)
  In: Proceedings of the 27th European Conference on Information Systems 2019
  URL: https://aisel.aisnet.org/ecis2019_rp/63/
• Friederich J., Zschech P.:
  Review and Systematization of Solutions for 3D Object Detection
  15th International Conference on Wirtschaftsinformatik (WI) (Potsdam, 8. March 2020 - 11. March 2020)
  In: Gronau N, Heine M, Krasnova H, Pousttchi K (ed.): Proceedings of the 15th International Conference on Wirtschaftsinformatik, Berlin: 2020
  DOI: 10.30844/wi_2020_r2-friedrich
  URL: https://library.gito.de/oa_wi2020-r2.html
• Heinrich K., Graf J., Chen J., Laurisch J., Zschech P.:
  Fool Me Once, Shame On You, Fool Me Twice, Shame On Me: A Taxonomy of Attack and Defense Patterns for AI Security
  28th European Conference on Information Systems (ECIS) (Virtual Conference, 15. June 2020 - 17. June 2020)
  In: Association for Information Systems (ed.): Proceedings of the 28th European Conference on Information Systems 2020
  URL: https://aisel.aisnet.org/ecis2020_rp/166/
• Heinrich K., Möller B., Janiesch C., Zschech P.:
  Is Bigger Always Better? Lessons Learnt from the Evolution of Deep Learning Architectures for Image Classification
  Pre-ICIS SIGDSA Symposium (Munich, 14. December 2019 - 15. December 2019)
  In: Proceedings of the Pre-ICIS SIGDSA Symposium 2019
  URL: https://aisel.aisnet.org/sigdsa2019/20/
• Sager C., Janiesch C., Zschech P.:
  A Survey of Image Labelling for Computer Vision Applications
  In: Journal of Business Analytics 4 (2021), p. 91-110
  ISSN: 2573-234X
  DOI: 10.1080/2573234X.2021.1908861
• Janiesch C., Zschech P., Heinrich K.:
  Machine Learning and Deep Learning
  In: Electronic Markets 31 (2021), p. 685–695
  ISSN: 1019-6781
  DOI: 10.1007/s12525-021-00475-2
  URL: https://link.springer.com/article/10.1007/s12525-021-00475-2
• Zschech P., Heinrich K., Möller B., Breithaupt L., Maresch J., Roth A.:
  Deep Learning in der Landwirtschaft – Analyse eines Weinbergs
  In: D'Onofrio S., Meier A. (ed.): Big Data Analytics, 2021, p. 169-194
  ISBN: 9783658322359
  DOI: 10.1007/978-3-658-32236-6_8
  URL: https://link.springer.com/chapter/10.1007/978-3-658-32236-6_8
• Zschech P., Walk J., Heinrich K., Vössing M., Kühl N.:
  A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems
  29th European Conference on Information Systems (ECIS) (Virtual Conference, 14. June 2021 - 16. June 2021)
  In: Proceedings of the 29th European Conference on Information Systems (ECIS) 2021
  URL: https://aisel.aisnet.org/ecis2021_rp/127/
• Sager C., Zschech P., Kühl N.:
  labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds
  International CAD Conference (Barcelona, 5. July 2021 - 7. July 2021)
  In: Proceedings of CAD’21 2021
  DOI: 10.14733/cadconfP.2021.319-323
• Harl M., Herchenbach M., Kruschel S., Hambauer N., Zschech P., Kraus M.:
  A Light in the Dark: Deep Learning Practices for Industrial Computer Vision
  In: Proceedings of the 17th International Conference on Wirtschaftsinformatik (WI) 2022
  Open Access: https://aisel.aisnet.org/wi2022/student_track/student_track/33/
  URL: https://aisel.aisnet.org/wi2022/student_track/student_track/33/
• Sager C., Zschech P., Kühl N.:
  labelCloud: A Lightweight Labeling Tool for Domain-Agnostic 3D Object Detection in Point Clouds
  In: Computer-Aided Design and Applications 19 (2022), p. 1191-1206
  ISSN: 1686-4360
  DOI: 10.14733/cadaps.2022.1191-1206
  URL: http://cad-journal.net/files/vol_19/CAD_19(6)_2022_1191-1206.pdf
• Heinrich K., Zschech P., Skouti T., Griebenow J., Riechert S.:
  Demystifying the Black Box: A Classification Scheme for Interpretation and Visualization of Deep Intelligent Systems
  25th Americas Conference on Information Systems (AMCIS) (Cancún, 15. August 2019 - 17. August 2019)
  In: Proceedings of the 25th Americas Conference on Information Systems 2019
  URL: https://aisel.aisnet.org/amcis2019/ai_semantic_for_intelligent_info_systems/ai_semantic_for_intelligent_info_systems/8/