Univ. Ass. Dipl.-Ing. Matthias Dorfer

Department of Computational Perception
Johannes Kepler University (JKU) Linz
Altenberger Str. 69, A-4040 Linz, Austria
Science Park 3, 4th Floor
Room 433

Tel: +43 732 2468 4714
Fax: +43 732 2468 4705

E-Mail: 


Current Position

Research Interests

Publications

Learning Audio-Sheet Music Correspondences for Score Identification and Offline Alignment
Matthias Dorfer, Andreas Arzt, and Gerhard Widmer.
In Proceedings of 18th International Society for Music Information Retrieval Conference (ISMIR), 2017.
Drum Transcription via Joint Beat and Drum Modeling using Convolutional Recurrent Neural Networks.
Richard Vogl, Matthias Dorfer, Gerhard Widmer and Peter Knees.
In Proceedings of 18th International Society for Music Information Retrieval Conference (ISMIR), 2017.
A Hybrid Approach to Acoustic Scene Classification Based on Multi-channel I-Vectors and Convolutional Neural Networks.
Hamid Eghbal-zadeh, Bernhard Lehner, Matthias Dorfer, and Gerhard Widmer.
In Proceedings of the 25th European Signal Processing Conference (EUSIPCO), 2017.
Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features
Andreu Vall, Hamid Eghbal-zadeh, Matthias Dorfer, Gerhard Widmer and Markus Schedl.
In Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems (DLRS), at the 11th Conference on Recommender Systems (RecSys), 2017.
Drum Transcription from Polyphonic Music with Recurrent Neural Networks.
Richard Vogl, Matthias Dorfer, and Peter Knees.
In Proceedings of 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.
Towards Score Following in Sheet Music Images. (PDF)
Matthias Dorfer, Andreas Arzt, and Gerhard Widmer.
In Proceedings of 17th International Society for Music Information Retrieval Conference (ISMIR), 2016.
Recurrent Neural Networks for Drum Transcription.
Richard Vogl, Matthias Dorfer and Peter Knees.
In Proceedings of 17th International Society for Music Information Retrieval Conference (ISMIR), 2016.
On the Potential of Simple Framewise Approaches to Piano Transcription.
Rainer Kelz, Matthias Dorfer, Filip Korzeniowski, Sebastian Böck, Andreas Arzt and Gerhard Widmer.
In Proceedings of 17th International Society for Music Information Retrieval Conference (ISMIR), 2016.
Downbeat Estimation from Beat Synchronous Features with Recurrent Neural Networks.
Florian Krebs, Sebastian Böck, Matthias Dorfer and Gerhard Widmer.
In Proceedings of 17th International Society for Music Information Retrieval Conference (ISMIR), 2016.
A Cosine-Distance based Neural Network for Music Artist Recognition using Raw I-vector Features.
Hamid Eghbal-zadeh, Matthias Dorfer and Gerhard Widmer.
In Proceedings of the 19th International Conference on Digital Audio Effects (DAFx16), 2016.
Deep Linear Discriminant Analysis. (PDF, CODE)
Matthias Dorfer, Rainer Kelz, and Gerhard Widmer.
In Proceedings of the International Conference on Learning Representations (ICLR), 2016.
Recursive Water Flow: A Shape Decomposition Approach for Cell Clump Splitting.
Matthias Dorfer and Julian Mattes.
In Proceedings of the International Symposium on Biomedical Imaging (ISBI), 2016.
Associating approximate paths and temporal sequences of noisy detections: Application to the recovery of spatio-temporal cancer cell trajectories.
Matthias Dorfer, Tomas Kazmar, Matej Smid, Sanchit Sing, Julia Kneißl, Simone Keller, Olivier Debeir, Birgit Luber and Julian Mattes.
Medical Image Analysis, 2016
Creating a large-scale silver corpus from multiple algorithmic segmentations.
Markus Krenn, Matthias Dorfer, Oscar Alfonso Jimenez del Toro, Henning Müller, Bjoern Menze, Marc-Andre Weber, Allan Hanbury and Georg Langs
In MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data, 2015.
Constructing an Un-biased Whole Body Atlas from Clinical Imaging Data by Fragment Bundling.
Matthias Dorfer, René Donner, and Georg Langs
In Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2013.
Robust, Automatic Real-Time Monitoring of the Time Course of the Individual Alpha Frequency in the Time and Frequency Domain.
Heinrich Garn, Markus Waser, Manuel Lechner, Matthias Dorfer, and Dieter Grossegger
In Proceedings of Engineering in Medicine and Biology Society (EMBS), 2012.

Preprints, Workshops, Demonstrations and Challenges

Top results in the 2017 AcousticBrainz Genre Task at the MediaEval Benchmarking Initiative for Multimedia Evaluation.
Khaled Koutini, Alina Imenina, Matthias Dorfer, Alexander Gruber and Markus Schedl
MediaEval Benchmarking Initiative for Multimedia Evaluation, 2017
Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features: Alleviating the Cold-Start Problem for Rare and Out-of-Set Songs
Andreu Vall, Hamid Eghbal-zadeh, Matthias Dorfer, Markus Schedl, Gerhard Widmer.
In Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems (DLRS), at the 11th Conference on Recommender Systems (RecSys), 2017
End-to-End Cross-Modality Retrieval with CCA Projections and Pairwise Ranking Loss.
Matthias Dorfer, Jan Schlüter, Andreu Vall, Filip Korzeniowski and Gerhard Widmer
arXiv:1705.06979 [cs.IR], 2017
Towards End-to-End Audio-Sheet-Music Retrieval.
Matthias Dorfer, Andreas Arzt and Gerhard Widmer.
In NIPS 2016 End-to-end Learning for Speech and Audio Processing Workshop, 2016
CP-JKU Submission for DCASE-2016: A Hybrid Approach Using Binaural I-Vectors and Deep Convolutional Neural Networks.
Hamid Eghbal-zadeh, Bernhard Lehner, Matthias Dorfer and Gerhard Widmer.
1st and 2nd place winners
Live Score Following on Sheet Music Images.
Matthias Dorfer, Andreas Arzt, Sebastian Böck, Amaury Durand and Gerhard Widmer.
Late Braking Demo at the International Society for Music Information Retrieval Conference (ISMIR), 2016.
Towards Deep and Discriminative Canonical Correlation Analysis.
Matthias Dorfer and Gerhard Widmer.
In ICML 2016 Workshop on Multi-View Representation Learning, 2016.
Timbral and Semantic Features for Music Playlists.
Andreu Vall, Hamid Eghbal-zadeh, Matthias Dorfer and Markus Schedl.
In ICML 2016 Machine Learning for Music Discovery Workshop, 2016.

Talks

Title: Learning Correspondences between Audio and Sheet-Music Images (slides)
Matthias Dorfer
Workshop on Systematic Approaches to Deep Learning Methods for Audio, 2017


last edited by md on Sep 21, 2017