Stefan Schurischuster




+43 1 58801 – 193167


HE 0414

Office hours

By appointment


mic-cam, yatta, symetric

Current Position

Stefan Schurischuster is a research assistant at the Computer Vision Lab, Institute of Visual Computing and Human-Centered Technology at the TU Wien, Austria.

His research interests are: Computer Vision, AI and Machine Learning.

  • SYMETRIC: Visual Odometry, Camera Calibration, Stereo Vision
  • YATTA – Augmented Reality, 3D Reconstruction
  • MIC-Cam: Object Detection, Image Classification, Deep Learning
  • Schurischuster S., Kampel M.: “Image-based Classification of Honeybees”.  In Proceedings of the 10th International Conference on Image Processing Theory, Tools and Applications (IPTA), Paris/France Nov. 2020
  • Schurischuster S., Loaiciga R. J. M., Kurtic A., Sablatnig R.: “In-Time 3D Reconstruction and Instance Segmentation from Monocular Sensor Data”.  In Proceedings of the 17th Conference on Computer and Robot Vision, Ottawa/Canada,  May 2020
  • Schurischuster S., Remeseiro B., Radeva P., and Kampel M. “A preliminary study of image analysis for parasite detection on honey bees”. In Proceedings of the 15th International Conference on Image Analysis and Recognition (ICIAR 2018), 2018
  • Schurischuster S., Zambanini S., Kampel M., Lamp B.: “Sensor Study for Monitoring Varroa Mites on Honey Bees (Apis mellifera)”.  In Proceedings of the Visual observation and analysis of Vertebrate And Insect Behavior (VAIB) Workshop, Cancun/Mexico Dec. 2016
2019 Graduation, Dipl.-Ing. (comparable with MSc), TU Wien, Medical Informatics,
 Thesis title: “Image Analysis Approaches for Parasite Detection on Honey Bees
Thesis advisor: a.o.Univ.-Prof. Dr. Martin Kampel
2015 Graduation, BSc, TU Wien, Medical Informatics,
Thesis title: “Automated measuring of Arabidopsis Thalina roots for growth analysis