Publications and Presentations

Martin Kampel

  Conferences with Proceedings (reviewed) 2021: Strohmayer J., Knapp J., Kampel M., “Efficient Models for Real-time Person Segmentation on Mobile Phones”, accepted in 29th European Signal Processing Conference (EUSIPCO), Dublin, Ireland, August 2021 Lumetzberger J., Ginzinger F., Kampel M., “Sensor-based toilet instructions for people with dementia”, accepted in 12th International Conference on Applied Human Factors and Ergonomics, … Continue reading Martin Kampel

Robert Sablatnig Publications by Category

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

Robert Sablatnig Publications

Publications sorted by Year 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021. (Switch to: Sorted by Category) 1991 Sablatnig R., “Das Lichtschnittverfahren, ein Verfahren zur Erfassung archäologischer Fundgegenstände“, Master Thesis, Vienna University … Continue reading Robert Sablatnig Publications

Simon Brenner Publications

Brenner S., Sablatnig R. (2021) Subjective Assessments of Legibility in Ancient Manuscript Images – The SALAMI Dataset. In: Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science, vol 12667. Springer, Cham. Brenner S., Sablatnig R., Cappa F., Vetter W., Frühmann B., Schreiner M., Miklas H. “Virtual Conservation and Restoration … Continue reading Simon Brenner Publications

Fabian Hollaus Publications

2019 Hollaus, F., Brenner, S., Sablatnig, R., “CNN Based Binarization of MultiSpectral Document Images“. ICDAR 2019: 533-538 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 … Continue reading Fabian Hollaus Publications

Sebastian Zambanini Publications

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

Matthias Wödlinger

Wödlinger M. Sablatnig R., Text Baseline Recognition Using a RecurrentConvolutional Neural Network. Accepted for publication in the Proceedings of the International Conference for Pattern Recognition (ICPR) 2020 Wödlinger M. Sablatnig R., Classification and Segmentation of Scanned Library Catalogue Cards using Convolutional Neural Networks. Proceedings of the Joint Austrian Computer Vision and Robotics Workshop 2020, pp. … Continue reading Matthias Wödlinger

Daniel Helm

Helm D., Kampel M., Single-Modal Video Analysis of Personality Traits using Low-Level Visual Features, Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA), Paris, France, November 2020. Helm D., Kampel M. Overscan Detection in Digitized Analog Films by Precise Sprocket Hole Segmentation. In: Bebis G. et al. (eds) Advances in Visual Computing. ISVC … Continue reading Daniel Helm

Christopher Pramerdorfer

2020 Pramerdorfer C., Strohmayer J., Kampel M., “SDT: A Synthetic Multi-Modal Dataset for Person Detection and Pose Classification”, International Conference on Image Processing, Abu Dhabi, UAE, October 2020 Pramerdorfer C., Planinc R., Kampel M., “Effective Deep-Learning-Based Depth Data Analysis on Low-Power Hardware for Supporting Elderly Care”, International Conference on Computer Vision and Pattern Recognition (CVPR) … Continue reading Christopher Pramerdorfer