2019 Pramerdorfer C., Kampel M., Heering J., “3D Upper-Body Pose Estimation and Classification for Detecting Unhealthy Sitting Postures at the Workplace”, International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing, Valencia, Spain, November 2019 (to appear). 2018 Pramerdorfer C., Kampel M., Van Loock M., “Multi-View Classification and 3D Bounding Box Regression … Continue reading Christopher Pramerdorfer →

Helm D., Kampel M. (2019) Shot Boundary Detection for Automatic Video Analysis of Historical Films. In: Cristani M., Prati A., Lanz O., Messelodi S., Sebe N. (eds) New Trends in Image Analysis and Processing – ICIAP 2019. ICIAP 2019. Lecture Notes in Computer Science, vol 11808. Springer, Cham Helm D., Kampel M., “Automatic video analysis … Continue reading Daniel Helm →

    1994 Leiden, The Netherlands, ERASMUS exchange program, Sept. 28, Presentation 1995 Eindhoven, The Netherlands, “COMETT exchange program”, Sept. 30, Presentation 1997 Surrey, United Kingdom, “Erasmus Intensive Program”, Jun. 2-6, Workshop 1998 Budapest, Hungary, “CEEPUS Exchange Program”, May 5, Presentation Illmitz, Austria, “OAGM98: 22st Workshop of the AUSTRIAN ASSOCIATION FOR PATTERN RECOGNITION”, May 14-15 … Continue reading Martin Kampel – Presentations →

Publications Year Reference 2019   R. Licandro, J. Hofmanninger, M. Perkonigg, S. Röhrich, M.-A. Weber, M. Wennmann, L. Kintzele, M. Piraud, B. Menze, G. Langs, “Asymmetric Cascade Networks for Focal Bone Lesion Prediction in Multiple Myeloma”, International Conference on Medical Imaging with Deep Learning (MIDL), London (UK), July 2019. 2019   D. Sobotka, E. Schwartz, … Continue reading Roxane Licandro →

Publications Year Reference 2018 Atanasov M., Kampel M., “Automated Determination of Gait Parameters Using Depth Based Person Tracking”, 16th IEEE Int. Conference on Embedded and Ubiquitous Computing, ISBN: 978-1-5386-8295-1; pp. 96-102, Bucharest (Romania), October 2018. 2016 Wetzinger E., Atanasov M., Kampel M., “Person Profiling Using Image and Facial Attributes Analyses on Unconstrained Images Retrieved from … Continue reading Michael Atanasov →

2018 Hollaus, F., Diem, M., Sablatnig, R., “MultiSpectral Image Binarization using GMMs“, in: Zanibbi, R., Manmatha, R., Govindaraju, V., Viard-Gaudin, C., Oliveira, L.S., Pal, U., (Eds.), “ of 16th Intl. Conf. on Frontiers in Handwriting Recognition (ICFHR2018)”, Niagara Falls, New York, USA, 5-8 August, pp. 570-575, 2018. 2017 Hollaus, F., Sablatnig, R., “MultiSpectral Imaging for … Continue reading Fabian Hollaus Publications →

Markus Diem 2016 [39] Michael Reiter, Paolo Rota, Florian Kleber, Markus Diem, Stefanie Groeneveld-Krentz, and Michael Dworzak, Clustering of Cell Populations in Flow Cytometry Data using a Combination of Gaussian Mixtures. Pattern Recognition, 60, 1029-1040, 2016 [38] Markus Diem, Fabian Hollaus, and Robert Sablatnig. MSIO: MultiSpectral Document Image BinarizatIOn. In Proceedings of the 12th IAPR … Continue reading Markus Diem Publications →

See my orcid.org/0000-0001-8351-5066

Theses Zambanini S. “Insensitive Image Comparison in the Absence of Training Data”, PhD Thesis, Vienna University of Technology, October 2014. (pdf) Zambanini S., “Automatic Assessment of Lesion Development in Hemangioma Follow-Up Images”, Master Thesis, Vienna University of Technology, 2007.(pdf) Book Chapters Kampel M., Zambanini S., “Shape Analysis and Geometric Modelling” in Mathematics and Archaeology, Juan A. … Continue reading Sebastian Zambanini Publications →

Publications sorted by Category Referred papers, Technical reports, Theses and others (Switch to: Sorted by Year) Books and Papers in Books and Journals Sablatnig R., Menard C., Dintsis P., “Bildhafte, dreidimensionale Erfassung von archäologischen Fundgegenständen als Grundlage für die automatisierte Klassifikation”, in: Stoll O. (Ed.), “Computer und Archäologie“, Computer und Antike, Vol.3, Scripta Mercaturae Verlag, … Continue reading Robert Sablatnig Publications by Category →