M.Sc. Stefan Wolf

  • Karlsruher Institut für Technologie – KIT
    Institut für Anthropomatik und Robotik (IAR)
    Lehrstuhl für Interaktive Echtzeitsysteme (IES)
    Prof. Dr.- Ing. Jürgen Beyerer
    Vincenz-Prießnitz-Straße 3
    76131 Karlsruhe

Lebenslauf

Stefan Wolf studierte von 2013 bis 2020 Informatik mit Profil daten-intensives Rechnen am Karlsruher Institut für Technologie (KIT). Seine Masterarbeit verfasste er zum Thema Optimierung von Objektdetektion in Luftbildern für eingebettete Geräte. Seit 2021 arbeitet er als wissenschaftlicher Mitarbeiter am Lehrstuhl für Interaktive Echtzeitsysteme (IES). In enger Kooperation mit der Abteilung Videoauswertesysteme (VID) des Fraunhofer Institut für Optronik, Systemtechnik und Bildauswertung (IOSB) beschäftigt er sich mit der Detektion und Klassifikation von Objekten in Bildern unter Verwendung weniger Trainingsdaten.

Veröffentlichungen


2023
Optimizing Fine-Grained Fungi Classification for Diverse Application-Oriented Open-Set Metrics
Wolf, S.; Beyerer, J.
2023. Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2159 – 2167, CEUR-WS
A Baseline for Cross-Domain Fine-Grained Vehicle Classification in a Supervised Partially Zero-Shot Setting
Wolf, S.
2023. Proceedings of the 2022 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory. Ed.: J. Beyerer, 87–107, KIT Scientific Publishing
Addressing Bias in Fine-Grained Classification Datasets: A Strategy for Reliable Evaluation
Wolf, S.; Koch, J.; Sommer, L.; Beyerer, J.
2023. 2023 IEEE 13th International Conference on Pattern Recognition Systems (ICPRS), 1–7, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICPRS58416.2023.10179055
A Transformer-based Late-Fusion Mechanism for Fine-Grained Object Recognition in Videos
Koch, J.; Wolf, S.; Beyerer, J.
2023. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW). IEEE Winter Conference on Applications of Computer Vision Workshops (WACVW 2023) Waikoloa, HI, USA, 03.01.2023–07.01.2023, 100–109, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/WACVW58289.2023.00015
2022
Few-Shot Supervised Prototype Alignment for Pedestrian Detection on Fisheye Images
Wiedemer, T.; Wolf, S.; Schumann, A.; Ma, K.; Beyerer, J.
2022. Proceedings 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW): New Orleans, Louisiana, 19–24 June 2022, 4141–4152, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CVPRW56347.2022.00459
Transformer-based Fine-Grained Fungi Classification in an Open-Set Scenario
Wolf, S.; Beyerer, J.
2022. CLEF 2022 Working Notes: Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum ; Bologna, Italy, September 5th to 8th, 2022. Ed.: G. Faggioli, 2219–2226, CEUR-WS.org
Cross-Domain Fine-Grained Classification: A Review
Wolf, S.
2022. Proceedings of the 2021 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory, 189–205, Karlsruher Institut für Technologie (KIT)
2021
Double Head Predictor based Few-Shot Object Detection for Aerial Imagery
Wolf, S.; Meier, J.; Sommer, L.; Beyerer, J.
2021. IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Montreal, BC, Canada 11th -17th October 2021, 721–731, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCVW54120.2021.00086
Fast Pedestrian Detection for Real-World Crowded Scenarios on Embedded GPU
Cormier, M.; Wolf, S.; Sommer, L.; Schumann, A.; Beyerer, J.
2021. IEEE EUROCON 2021 - 19th International Conference on Smart Technologies, Lviv, Ukraine, 6-8 July 2021, 40–44, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EUROCON52738.2021.9535550
Fastaer det: Fast aerial embedded real-time detection
Wolf, S.; Sommer, L.; Schumann, A.
2021. Remote Sensing, 13 (16), 3088. doi:10.3390/rs13163088