Profil Thomas Stephani

Schwerpunkte/Kompetenzen

• CNNs with Limited Amount of Training Data
• Markov Random Field Models for Computer Vision
• Visual Correspondence Estimation (Stereo, Motion)
• Photomontage, Stitching
• Projective Geometry
• Software Development in C++ / Matlab

 

Publikationen

Highlightpublikationen

• Nieradzik, L.; Sieburg-Rockel, J.; Helmling, S.; Keuper, J.; Weibel, T.; Olbrich, A. and Stephani, H.:
  Automating Wood Species Detection and Classification in Microscopic Images of Fibrous Materials with Deep Learning.
  arXiv preprint arXiv:2307.09588. (2023)
• Stephani, H.; Weibel, T.; Rösch, R.; Moghiseh, A.:
  Challenges and approaches when realizing online surface inspection systems with deep learning algorithms.
  Discover Data: Volume 1, Article number: 3 (2023)
• Müller, O.; Fend, C.; Moghiseh, A.; Schladitz, K.; Stephani, H.; Weibel, T.:
  Deep learning for image based shelve inventories.
  10th International Symposium on Signal, Image, Video and Communications, ISIVC 2020: Saint-Etienne, France, 7–9 April 2021. Piscataway, NJ: IEEE, 2021.
• S. Ali, C. Daul, T. Weibel, and W. Blondel: 
  Fast mosaicing of cystoscopic images from dense correspondence: combined SURF and TV-L1 optical flow method. 
  In 20th International Conference on Image Processing (ICIP), pages 1291-1295, September 2013. Melbourne, Australien.
• T. Weibel, C. Daul, D. Wolf, R. Rösch, and F. Guillemin:
  Graph based construction of textured large field of view mosaics for bladder cancer diagnosis. 
  Pattern Recognition, 45(12):4138 – 4150, 2012
• T. Weibel, C. Daul, D. Wolf, and R. Rösch: 
  Contrast-enhancing seam detection and blending using graph cuts. 
  In 21st International Conference on Pattern Recognition (ICPR), pages 2732–2735, November 2012. Tsukuba, Japan (Oral presentation).

Sammlung der Publikationen von Thomas Weibel in der Fraunhofer-Publica