Interactive Media Systems, TU Wien

Alexander Pacha

Univ. Lektor Dr. techn. BSc M.Sc. with honours — Position: Lecturer

Contact

E-Mail alexander.pacha@tuwien.ac.at
Website www.ims.tuwien.ac.at/people/alexander-pacha
Office 1040 Wien, Favoritenstrasse 11 Room HG0411 Map
Office Hours by appointment
Phone +43-1-58801-18877

2018

How Current Optical Music Recognition Systems Are Becoming Useful for Digital Libraries Optical Music Recognition (OMR) promises to make large collections of sheet music searchable by their musical content. It would open up novel ways of… J. Hajič, M. Kolárová, A. Pacha, J. Calvo-Zaragoza Details
Optical Music Recognition in Mensural Notation with Region-Based Convolutional Neural Networks In this work, we present an approach for the task of optical music recognition (OMR) using deep neural networks. Our intention is to simultaneously… A. Pacha, J. Calvo-Zaragoza Details
Advancing OMR as a Community: Best Practices for Reproducible Research Optical Music Recognition has been under investigation for over 60 years but remains an unsolved problem, because research happens distributedly,… A. Pacha Details
Self-Learning Optical Music Recognition A. Pacha: "Self-Learning Optical Music Recognition"; Talk: Vienna young Scientists Symposium, Wien; 06-07-2018 - 06-08-2018; in: "Vienna young… A. Pacha Details
Handwritten Music Object Detection: Open Issues and Baseline Results Optical Music Recognition (OMR) is the challenge of understanding the content of musical scores. Accurate detection of individual music objects is a… A. Pacha, K. Choi, B. Coüasnon, Y. Ricquebourg, H. Eidenberger Details
A Baseline for General Music Object Detection with Deep Learning Deep learning is bringing breakthroughs to many computer vision subfields including Optical Music Recognition (OMR), which has seen a series of… A. Pacha, J. Hajič, J. Calvo-Zaragoza Details

2017

Towards Self-Learning Optical Music Recognition Optical Music Recognition (OMR) is a branch of artificial intelligence that aims at automatically recognizing and understanding the content of music… A. Pacha, H. Eidenberger Details
Towards a Universal Music Symbol Classifier Optical Music Recognition (OMR) aims to recognize and understand written music scores. With the help of Deep Learning, researchers were able to… A. Pacha, H. Eidenberger Details

2011

Quality Assurance for Data from Low-Tech Participants in Distributed Automation Engineering Environments Participants in modern automation engineering projects typically work distributed and in parallel. Therefore, there are advanced approaches for… R. Mordinyi, A. Pacha, S. Biffl Details