The paper “Deblurring Cataract Surgery Videos Using a Multi-Scale Deconvolutional Neural Network” has been accepted for publication at the “IEEE International Symposium on Biomedical Imaging”, located at Iowa City, Iowa, USA (April 3-7, 2020). This conference is a joint initiative from the IEEE Signal Processing Society (SPS) and the IEEE Engineering in Medicine and Biology […]
Wer schafft mehr Rechenoperation pro Sekunde? Hochleistungsrechner sind ein wichtiges Werkzeug im Lösen wissenschaftlicher Probleme. HIER der aktuelle Standard Artikel – ein Interview mit Prof. Radu Prodan.
ITEC is delighted to announce the next speaker in our guest lecture series – Ass.-Prof. Ali C. Beğen from Ozyegin University, Istanbul, Turkey. The course will take place April 1-12, 2019. This course introduces different types of applications that enhance the world of multimedia and the Web, and the systems and data structures that are […]
ITEC is delighted to announce the next speaker in our guest lecture series – PD Dr. Ralf Klamma from RWTH Aachen University. The course will take place from June 12-19, 2019. This course presents an introduction to Augmented Reality, with emphasis on designing and developing Augmented Reality applications. For more information on the course, click […]
ITEC alumnus Daniel Posch wins the digitization scholarship (Digitalisierungsstipendium des Landes Kärnten) of the Province of Carinthia within the category “Dissertation” (Supervision: Prof. Hellwagner). “
Klaus Schöffmann was awarded with the Carinthian “Kultur-Förderpreis” (area technical sciences). More information is available HERE and HERE. Klaus will receive the prize officially on December 10, 2018 by the carinthian governor. Kultur-Förderpreis
Mathias Lux actively participated in the MediaEval 2018 Workshop in Sophia Antipolis, France. He co-organized GameStory: The 2018 Video Game Analytics Challenge and Medico: The 2018 Multimedia for Medicine Task and held two presentations.
AAU/ITEC researchers Mario Taschwer, Klaus Schöffmann, and Jürgen Primus collaborated with Oge Marques (FAU, USA) on a research challenge targeting automatic classification of endoscopic images of the human gastro-intestinal tract. The challenge was posed as the MediaEval 2018 Medico task and called not only for classification effectiveness, but also for run-time efficiency of proposed approaches. […]