| Mots: Multi-object tracking and segmentation P Voigtlaender, M Krause, A Osep, J Luiten, BBG Sekar, A Geiger, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 785* | 2019 |
| Sync Toolbox: A Python Package for Efficient, Robust, and Accurate Music Synchronization M Müller, Y Özer, M Krause, T Prätzlich, J Driedger Journal of Open Source Software 6 (64), 3434, 2021 | 44 | 2021 |
| Singing Voice Detection in Opera Recordings: A Case Study on Robustness and Generalization M Krause, M Müller, C Weiß Electronics 10 (10), 1214, 2021 | 16 | 2021 |
| Classifying Leitmotifs in Recordings of Operas by Richard Wagner M Krause, F Zalkow, J Zalkow, C Weiß, M Müller | 14* | |
| Soft Dynamic Time Warping for Multi-Pitch Estimation and Beyond M Krause, C Weiß, M Müller ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 8 | 2023 |
| Towards Leitmotif Activity Detection in Opera Recordings. M Krause, M Müller, C Weiß Trans. Int. Soc. Music. Inf. Retr. 4 (1), 127-140, 2021 | 8 | 2021 |
| Hierarchical Classification for Instrument Activity Detection in Orchestral Music Recordings M Krause, M Müller IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023 | 7 | 2023 |
| Hierarchical Classification of Singing Activity, Gender, and Type in Complex Music Recordings M Krause, M Müller ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 7 | 2022 |
| Weakly Supervised Multi-Pitch Estimation Using Cross-Version Alignment. M Krause, S Strahl, M Müller ISMIR, 289-296, 2023 | 5 | 2023 |
| Wagner Ring Dataset: A complex opera scenario for music processing and computational musicology C Weiß, V Arifi-Müller, M Krause, F Zalkow, S Klauk, R Kleinertz, M Müller Transactions of the International Society for Music Information Retrieval 6 (1), 2023 | 5 | 2023 |
| Maschinelles Lernen: Wie sich Computer an Probleme anpassen M Krause, E Natterer Wie Maschinen lernen: Künstliche Intelligenz verständlich erklärt, 21-27, 2019 | 5 | 2019 |
| Stabilizing Training with Soft Dynamic Time Warping: A Case Study for Pitch Class Estimation with Weakly Aligned Targets J Zeitler, S Deniffel, M Krause, M Müller arXiv preprint arXiv:2308.05429, 2023 | 3 | 2023 |
| Using the sync toolbox for an experiment on high-resolution music alignment Y Özer, M Krause, M Müller Demos and Late Breaking News of the International Society for Music …, 2021 | 3 | 2021 |
| A Dataset of Larynx Microphone Recordings for Singing Voice Reconstruction. SJ Schwär, M Krause, M Fast, S Rosenzweig, F Scherbaum, M Müller Trans. Int. Soc. Music. Inf. Retr. 7 (1), 30-43, 2024 | 1 | 2024 |
| A Cross-Version Approach to Audio Representation Learning for Orchestral Music. M Krause, C Weiß, M Müller ISMIR, 832-839, 2023 | 1 | 2023 |
| Soft Dynamic Time Warping with Variable Step Weights J Zeitler, M Krause, M Müller ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Activity Detection for Sound Events in Orchestral Music Recordings M Krause Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2023 | | 2023 |
| Bayesregel: Wie man aus altem Wissen Neues macht J Fehrling, M Krause Wie Maschinen lernen: Künstliche Intelligenz verständlich erklärt, 185-194, 2019 | | 2019 |
| Supplementary Material for MOTS: Multi-Object Tracking and Segmentation P Voigtlaender, M Krause, A Osep, J Luiten, BBG Sekar, A Geiger, ... | | |
Meinard MüllerInternational Audio Laboratories Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)بريد إلكتروني تم التحقق منه على audiolabs-erlangen.de