Matthias Dorfer

发表

Constructing an Un-biased Whole Body Atlas from Clinical Imaging Data by Fragment Bundling

Georg Langs, Rene Donner, Matthias Dorfer, 2013, MICCAI.

Cross-Modal Music Retrieval and Applications: An Overview of Key Methodologies

Gerhard Widmer, Andreas Arzt, Stefan Balke, 2019, IEEE Signal Processing Magazine.

End-to-end cross-modality retrieval with CCA projections and pairwise ranking loss

Gerhard Widmer, Filip Korzeniowski, Jan Schlüter, 2017, International Journal of Multimedia Information Retrieval.

Towards End-to-End Audio-Sheet-Music Retrieval pdf

Gerhard Widmer, Andreas Arzt, Matthias Dorfer, 2016, ArXiv.

On the Potential of Fully Convolutional Neural Networks for Musical Symbol Detection

Gerhard Widmer, Jan Hajic, Matthias Dorfer, 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

Aktuelle Entwicklungen in der Automatischen Musikverfolgung

Andreas Arzt, Matthias Dorfer, Andreas Arzt, 2017, GI-Jahrestagung.

Recursive water flow: A shape decomposition approach for cell clump splitting

Julian Mattes, Matthias Dorfer, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval pdf

Gerhard Widmer, Andreas Arzt, Stefan Balke, 2019, ISMIR.

Learning Audio-Sheet Music Correspondences for Score Identification and Offline Alignment

Gerhard Widmer, Andreas Arzt, Matthias Dorfer, 2017, ISMIR.

The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification

Gerhard Widmer, Khaled Koutini, Hamid Eghbal-zadeh, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Attention as a Perspective for Learning Tempo-invariant Audio Queries pdf

Gerhard Widmer, Jan Hajic, Matthias Dorfer, 2018, ArXiv.

Drum Transcription via Joint Beat and Drum Modeling Using Convolutional Recurrent Neural Networks

Peter Knees, Gerhard Widmer, Matthias Dorfer, 2017, ISMIR.

Deep Linear Discriminant Analysis pdf

Gerhard Widmer, Rainer Kelz, Matthias Dorfer, 2015, ICLR.

Towards Score Following In Sheet Music Images

Gerhard Widmer, Andreas Arzt, Matthias Dorfer, 2016, ISMIR.

Robust, automatic real-time monitoring of the time course of the individual alpha frequency in the time and frequency domain

Heinrich Garn, Markus Waser, Matthias Dorfer, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Learning Audio-Sheet Music Correspondences for Cross-Modal Retrieval and Piece Identification

Gerhard Widmer, Andreas Arzt, Jan Hajic, 2018, Trans. Int. Soc. Music. Inf. Retr..

Deep Within-Class Covariance Analysis for Acoustic Scene Classification pdf

Gerhard Widmer, Hamid Eghbal-zadeh, Matthias Dorfer, 2017, ArXiv.

Score Following as a Multi-Modal Reinforcement Learning Problem

Gerhard Widmer, Florian Henkel, Stefan Balke, 2019, Trans. Int. Soc. Music. Inf. Retr..

MediaEval 2017 AcousticBrainz Genre Task: Multilayer Perceptron Approach

Markus Schedl, Khaled Koutini, Matthias Dorfer, 2017, MediaEval.

Associating approximate paths and temporal sequences of noisy detections: Application to the recovery of spatio-temporal cancer cell trajectories

Olivier Debeir, Julian Mattes, Simone Keller, 2016, Medical Image Anal..

Drum transcription from polyphonic music with recurrent neural networks

Peter Knees, Matthias Dorfer, Richard Vogl, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Learning to Listen, Read, and Follow: Score Following as a Reinforcement Learning Game pdf

Gerhard Widmer, Florian Henkel, Matthias Dorfer, 2018, ISMIR.

Towards Full-Pipeline Handwritten OMR with Musical Symbol Detection by U-Nets

Gerhard Widmer, Pavel Pecina, Jan Hajic, 2018, ISMIR.

Recurrent Neural Networks for Drum Transcription

Peter Knees, Matthias Dorfer, Richard Vogl, 2016, ISMIR.

A hybrid approach to music playlist continuation based on playlist-song membership

Markus Schedl, Gerhard Widmer, Andreu Vall, 2018, SAC.

Deep Within-Class Covariance Analysis for Robust Audio Representation Learning

Gerhard Widmer, Hamid Eghbal-zadeh, Matthias Dorfer, 2017 .

Downbeat Tracking Using Beat Synchronous Features with Recurrent Neural Networks

Florian Krebs, Gerhard Widmer, Sebastian Böck, 2016, ISMIR.

Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features: Alleviating the Cold-Start Problem for Rare and Out-of-Set Songs

Markus Schedl, Hamid Eghbal-zadeh, Andreu Vall, 2017, DLRS@RecSys.

Live Score Following on Sheet Music Images pdf

Gerhard Widmer, Sebastian Böck, Andreas Arzt, 2016, ArXiv.

Creating a Large-Scale Silver Corpus from Multiple Algorithmic Segmentations

Allan Hanbury, Georg Langs, Henning Müller, 2015, MCV@MICCAI.

On the Potential of Simple Framewise Approaches to Piano Transcription

Gerhard Widmer, Sebastian Böck, Andreas Arzt, 2016, ISMIR.

Feature-combination hybrid recommender systems for automated music playlist continuation

Markus Schedl, Gerhard Widmer, Hamid Eghbal-zadeh, 2019, User Modeling and User-Adapted Interaction.

A hybrid approach with multi-channel i-vectors and convolutional neural networks for acoustic scene classification

Gerhard Widmer, Hamid Eghbal-zadeh, Bernhard Lehner, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution pdf

Sepp Hochreiter, Markus Hofmarcher, Matthias Dorfer, 2020, ArXiv.

Training general-purpose audio tagging networks with noisy labels and iterative self-verification

Gerhard Widmer, Matthias Dorfer, G. Widmer, 2018, DCASE.

CP-JKU SUBMISSIONS FOR DCASE-2016 : A HYBRID APPROACH USING BINAURAL I-VECTORS AND DEEP CONVOLUTIONAL NEURAL NETWORKS

Gerhard Widmer, Bernhard Lehner, Hamid Eghbal-Zadeh, 2016 .

CLASSIFYING SHORT ACOUSTIC SCENES WITH I-VECTORS AND CNNS : CHALLENGES AND OPTIMISATIONS FOR THE 2017 DCASE ASC TASK

Gerhard Widmer, Khaled Koutini, Hamid Eghbal-zadeh, 2017 .

ACOUSTIC SCENE CLASSIFICATION WITH FULLY CONVOLUTIONAL NEURAL NETWORKS AND I-VECTORS Technical Report

Gerhard Widmer, Hamid Eghbal-zadeh, Bernhard Lehner, 2018 .