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ORCIDGerhard Widmer
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Publications
- 2019
[j42]Meinard Müller
, Andreas Arzt, Stefan Balke, Matthias Dorfer, Gerhard Widmer:
Cross-Modal Music Retrieval and Applications: An Overview of Key Methodologies. IEEE Signal Process. Mag. 36(1): 52-62 (2019)- [j41]Florian Henkel, Stefan Balke, Matthias Dorfer, Gerhard Widmer:
Score Following as a Multi-Modal Reinforcement Learning Problem. Trans. Int. Soc. Music. Inf. Retr. 2(1): 67-81 (2019) - [j40]Andreu Vall, Matthias Dorfer, Hamid Eghbal-zadeh, Markus Schedl, Keki Burjorjee, Gerhard Widmer:
Feature-combination hybrid recommender systems for automated music playlist continuation. User Model. User Adapt. Interact. 29(2): 527-572 (2019) - [c175]Khaled Koutini, Hamid Eghbal-zadeh, Matthias Dorfer, Gerhard Widmer:
The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification. EUSIPCO 2019: 1-5 - [c173]Stefan Balke, Matthias Dorfer, Luís Carvalho, Andreas Arzt, Gerhard Widmer:
Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval. ISMIR 2019: 216-222 - [i58]Meinard Müller, Andreas Arzt, Stefan Balke, Matthias Dorfer, Gerhard Widmer:
Cross-Modal Music Retrieval and Applications: An Overview of Key Methodologies. CoRR abs/1902.04397 (2019) - [i53]Stefan Balke, Matthias Dorfer, Luís Carvalho, Andreas Arzt, Gerhard Widmer:
Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval. CoRR abs/1906.10996 (2019) - [i52]Khaled Koutini, Hamid Eghbal-zadeh, Matthias Dorfer, Gerhard Widmer:
The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification. CoRR abs/1907.01803 (2019) - 2018
- [j38]Matthias Dorfer, Jan Schlüter, Andreu Vall, Filip Korzeniowski, Gerhard Widmer:
End-to-end cross-modality retrieval with CCA projections and pairwise ranking loss. Int. J. Multim. Inf. Retr. 7(2): 117-128 (2018) - [j35]Matthias Dorfer, Jan Hajic Jr., Andreas Arzt, Harald Frostel, Gerhard Widmer:
Learning Audio-Sheet Music Correspondences for Cross-Modal Retrieval and Piece Identification. Trans. Int. Soc. Music. Inf. Retr. 1(1): 22-31 (2018) - [c166]Matthias Dorfer, Gerhard Widmer:
Training general-purpose audio tagging networks with noisy labels and iterative self-verification. DCASE 2018: 178-182 - [c159]Jan Hajic Jr., Matthias Dorfer, Gerhard Widmer, Pavel Pecina:
Towards Full-Pipeline Handwritten OMR with Musical Symbol Detection by U-Nets. ISMIR 2018: 225-232 - [c156]Matthias Dorfer, Florian Henkel, Gerhard Widmer:
Learning to Listen, Read, and Follow: Score Following as a Reinforcement Learning Game. ISMIR 2018: 784-791 - [c154]Andreu Vall, Matthias Dorfer, Markus Schedl, Gerhard Widmer:
A hybrid approach to music playlist continuation based on playlist-song membership. SAC 2018: 1374-1382 - [i43]Andreu Vall, Matthias Dorfer, Markus Schedl, Gerhard Widmer:
A Hybrid Approach to Music Playlist Continuation Based on Playlist-Song Membership. CoRR abs/1805.09557 (2018) - [i32]Matthias Dorfer, Florian Henkel, Gerhard Widmer:
Learning to Listen, Read, and Follow: Score Following as a Reinforcement Learning Game. CoRR abs/1807.06391 (2018) - [i27]Matthias Dorfer, Jan Hajic Jr., Gerhard Widmer:
Attention as a Perspective for Learning Tempo-invariant Audio Queries. CoRR abs/1809.05689 (2018) - 2017
- [c151]Hamid Eghbal-zadeh, Bernhard Lehner, Matthias Dorfer, Gerhard Widmer:
A hybrid approach with multi-channel i-vectors and convolutional neural networks for acoustic scene classification. EUSIPCO 2017: 2749-2753 - [c150]Matthias Dorfer, Jan Hajic Jr., Gerhard Widmer:
On the Potential of Fully Convolutional Neural Networks for Musical Symbol Detection. GREC@ICDAR 2017: 53-54 - [c149]Matthias Dorfer, Andreas Arzt, Gerhard Widmer:
Learning Audio-Sheet Music Correspondences for Score Identification and Offline Alignment. ISMIR 2017: 115-122 - [c148]Richard Vogl, Matthias Dorfer, Gerhard Widmer, Peter Knees:
Drum Transcription via Joint Beat and Drum Modeling Using Convolutional Recurrent Neural Networks. ISMIR 2017: 150-157 - [c145]Andreu Vall, Hamid Eghbal-zadeh, Matthias Dorfer, Markus Schedl, Gerhard Widmer:
Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features: Alleviating the Cold-Start Problem for Rare and Out-of-Set Songs. DLRS@RecSys 2017: 46-54 - [i23]Matthias Dorfer, Jan Schlüter, Andreu Vall, Filip Korzeniowski, Gerhard Widmer:
End-to-End Cross-Modality Retrieval with CCA Projections and Pairwise Ranking Loss. CoRR abs/1705.06979 (2017) - [i21]Hamid Eghbal-zadeh, Bernhard Lehner, Matthias Dorfer, Gerhard Widmer:
A Hybrid Approach with Multi-channel I-Vectors and Convolutional Neural Networks for Acoustic Scene Classification. CoRR abs/1706.06525 (2017) - [i17]Matthias Dorfer, Andreas Arzt, Gerhard Widmer:
Learning Audio - Sheet Music Correspondences for Score Identification and Offline Alignment. CoRR abs/1707.09887 (2017) - [i11]Hamid Eghbal-zadeh, Matthias Dorfer, Gerhard Widmer:
Deep Within-Class Covariance Analysis for Acoustic Scene Classification. CoRR abs/1711.04022 (2017) - 2016
- [c140]Florian Krebs, Sebastian Böck, Matthias Dorfer, Gerhard Widmer:
Downbeat Tracking Using Beat Synchronous Features with Recurrent Neural Networks. ISMIR 2016: 129-135 - [c137]Rainer Kelz, Matthias Dorfer, Filip Korzeniowski, Sebastian Böck, Andreas Arzt, Gerhard Widmer:
On the Potential of Simple Framewise Approaches to Piano Transcription. ISMIR 2016: 475-481 - [c135]Matthias Dorfer, Andreas Arzt, Gerhard Widmer:
Towards Score Following In Sheet Music Images. ISMIR 2016: 789-795 - [c132]Matthias Dorfer, Rainer Kelz, Gerhard Widmer:
Deep Linear Discriminant Analysis. ICLR (Poster) 2016 - [i6]Matthias Dorfer, Andreas Arzt, Gerhard Widmer:
Towards Score Following in Sheet Music Images. CoRR abs/1612.05050 (2016) - [i4]Matthias Dorfer, Andreas Arzt, Gerhard Widmer:
Towards End-to-End Audio-Sheet-Music Retrieval. CoRR abs/1612.05070 (2016) - [i3]Matthias Dorfer, Andreas Arzt, Sebastian Böck, Amaury Durand, Gerhard Widmer:
Live Score Following on Sheet Music Images. CoRR abs/1612.05076 (2016) - [i1]Rainer Kelz, Matthias Dorfer, Filip Korzeniowski, Sebastian Böck, Andreas Arzt, Gerhard Widmer:
On the Potential of Simple Framewise Approaches to Piano Transcription. CoRR abs/1612.05153 (2016)
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