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Jan Schlüter
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2020 – today
- 2024
- [c33]Furkan Kasim, Terrance E. Boult, R. Mora, Bernardo Biesseck, Rafael O. Ribeiro, Jan Schlueter, Tomás Repák, Rafael Henrique Vareto, David Menotti, William Robson Schwartz, M. Günther:
Watchlist Challenge: 3rd Open-set Face Detection and Identification. IJCB 2024: 1-10 - [i12]Francesco Foscarin, Jan Schlüter, Gerhard Widmer:
Beat this! Accurate beat tracking without DBN postprocessing. CoRR abs/2407.21658 (2024) - [i11]Furkan Kasim, Terrance E. Boult, Rensso Mora, Bernardo Biesseck, Rafael O. Ribeiro, Jan Schlueter, Tomás Repák, Rafael Henrique Vareto, David Menotti, William Robson Schwartz, Manuel Günther:
Watchlist Challenge: 3rd Open-set Face Detection and Identification. CoRR abs/2409.07220 (2024) - [i10]Florian Schmid, Tobias Morocutti, Francesco Foscarin, Jan Schlüter, Paul Primus, Gerhard Widmer:
Effective Pre-Training of Audio Transformers for Sound Event Detection. CoRR abs/2409.09546 (2024) - 2022
- [c32]Jan Schlüter, Gerald Gutenbrunner:
EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use. EUSIPCO 2022: 205-208 - [c31]Khaled Koutini, Jan Schlüter, Hamid Eghbal-zadeh, Gerhard Widmer:
Efficient Training of Audio Transformers with Patchout. INTERSPEECH 2022: 2753-2757 - [c30]Marco Pasini, Jan Schlüter:
Musika! Fast Infinite Waveform Music Generation. ISMIR 2022: 543-550 - [i9]Jan Schlüter, Gerald Gutenbrunner:
EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use. CoRR abs/2207.05508 (2022) - [i8]Marco Pasini, Jan Schlüter:
Musika! Fast Infinite Waveform Music Generation. CoRR abs/2208.08706 (2022) - [i7]Khaled Koutini, Shahed Masoudian, Florian Schmid, Hamid Eghbal-zadeh, Jan Schlüter, Gerhard Widmer:
Learning General Audio Representations with Large-Scale Training of Patchout Audio Transformers. CoRR abs/2211.13956 (2022) - 2021
- [c29]Jan Schlüter:
Learning to Monitor Birdcalls From Weakly-Labeled Focused Recordings. CLEF (Working Notes) 2021: 1627-1638 - [c28]Khaled Koutini, Shahed Masoudian, Florian Schmid, Hamid Eghbal-zadeh, Jan Schlüter, Gerhard Widmer:
Learning General Audio Representations With Large-Scale Training of Patchout Audio Transformers. HEAR@NeurIPS 2021: 65-89 - [i6]Khaled Koutini, Hamid Eghbal-zadeh, Florian Henkel, Jan Schlüter, Gerhard Widmer:
Over-Parameterization and Generalization in Audio Classification. CoRR abs/2107.08933 (2021) - [i5]Khaled Koutini, Jan Schlüter, Hamid Eghbal-zadeh, Gerhard Widmer:
Efficient Training of Audio Transformers with Patchout. CoRR abs/2110.05069 (2021) - 2020
- [j4]Oriol Nieto, Gautham J. Mysore, Cheng-i Wang, Jordan B. L. Smith, Jan Schlüter, Thomas Grill, Brian McFee:
Audio-Based Music Structure Analysis: Current Trends, Open Challenges, and Applications. Trans. Int. Soc. Music. Inf. Retr. 3(1): 246-263 (2020)
2010 – 2019
- 2019
- [j3]Hendrik Purwins
, Bo Li
Deep Learning for Audio Signal Processing. IEEE J. Sel. Top. Signal Process. 13(2): 206-219 (2019) - [c27]Alexis Joly, Hervé Goëau
LifeCLEF 2019: Biodiversity Identification and Prediction Challenges. ECIR (2) 2019: 275-282 - [c26]Marion Poupard, Maxence Ferrari, Jan Schlüter, Ricard Marxer, Pascale Giraudet, Valentin Barchasz, Valentin Gies
Real-time Passive Acoustic 3D Tracking of Deep Diving Cetacean by Small Non-uniform Mobile Surface Antenna. ICASSP 2019: 8251-8255 - [i4]Hendrik Purwins, Bo Li, Tuomas Virtanen, Jan Schlüter, Shuo-Yiin Chang, Tara N. Sainath:
Deep Learning for Audio Signal Processing. CoRR abs/1905.00078 (2019) - 2018
- [j2]Matthias Dorfer
End-to-end cross-modality retrieval with CCA projections and pairwise ranking loss. Int. J. Multim. Inf. Retr. 7(2): 117-128 (2018) - [j1]Bernhard Lehner
Online, Loudness-Invariant Vocal Detection in Mixed Music Signals. IEEE ACM Trans. Audio Speech Lang. Process. 26(8): 1369-1380 (2018) - [c25]Jan Schlüter:
Bird Identification from Timestamped, Geotagged Audio Recordings. CLEF (Working Notes) 2018 - [c24]Arthur Flexer
Hubness as a Case of Technical Algorithmic Bias in Music Recommendation. ICDM Workshops 2018: 1062-1069 - [c23]Jan Schlüter, Bernhard Lehner:
Zero-Mean Convolutions for Level-Invariant Singing Voice Detection. ISMIR 2018: 321-326 - 2017
- [c22]Thomas Grill, Jan Schlüter
Two convolutional neural networks for bird detection in audio signals. EUSIPCO 2017: 1764-1768 - [i3]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) - 2016
- [c21]Jan Schlüter:
Learning to Pinpoint Singing Voice from Weakly Labeled Examples. ISMIR 2016: 44-50 - [c20]Sebastian Böck, Filip Korzeniowski, Jan Schlüter
madmom: A New Python Audio and Music Signal Processing Library. ACM Multimedia 2016: 1174-1178 - [i2]Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang:
Theano: A Python framework for fast computation of mathematical expressions. CoRR abs/1605.02688 (2016) - [i1]Sebastian Böck, Filip Korzeniowski, Jan Schlüter, Florian Krebs, Gerhard Widmer:
madmom: a new Python Audio and Music Signal Processing Library. CoRR abs/1605.07008 (2016) - 2015
- [c19]Thomas Grill, Jan Schlüter
Music boundary detection using neural networks on spectrograms and self-similarity lag matrices. EUSIPCO 2015: 1296-1300 - [c18]Jan Schlüter, Thomas Grill:
Exploring Data Augmentation for Improved Singing Voice Detection with Neural Networks. ISMIR 2015: 121-126 - [c17]Thomas Grill, Jan Schlüter:
Music Boundary Detection Using Neural Networks on Combined Features and Two-Level Annotations. ISMIR 2015: 531-537 - 2014
- [c16]Jan Schlüter
Improved musical onset detection with Convolutional Neural Networks. ICASSP 2014: 6979-6983 - [c15]Karen Ullrich, Jan Schlüter, Thomas Grill:
Boundary Detection in Music Structure Analysis using Convolutional Neural Networks. ISMIR 2014: 417-422 - 2013
- [c14]Dominik Schnitzer, Arthur Flexer, Jan Schlueter:
The relation of hubs to the Doddington zoo in speaker verification. EUSIPCO 2013: 1-5 - [c13]Jan Schlüter:
Learning Binary Codes For Efficient Large-Scale Music Similarity Search. ISMIR 2013: 581-586 - [c12]Mats Sjöberg, Jan Schlüter, Bogdan Ionescu, Markus Schedl:
FAR at MediaEval 2013 Violent Scenes Detection: Concept-based Violent Scenes Detection in Movies. MediaEval 2013 - [c11]Bogdan Ionescu, Jan Schlüter
A naive mid-level concept-based fusion approach to violence detection in Hollywood movies. ICMR 2013: 215-222 - 2012
- [c10]Arthur Flexer, Dominik Schnitzer, Jan Schlueter:
A MIREX Meta-analysis of Hubness in Audio Music Similarity. ISMIR 2012: 175-180 - [c9]Bogdan Ionescu, Ionut Mironica, Klaus Seyerlehner, Peter Knees, Jan Schlüter, Markus Schedl, Horia Cucu, Andi Buzo, Patrick Lambert:
ARF @ MediaEval 2012: Multimodal Video Classification. MediaEval 2012 - [c8]Jan Schlüter, Bogdan Ionescu, Ionut Mironica, Markus Schedl:
ARF @ MediaEval 2012: An Uninformed Approach to Violence Detection in Hollywood Movies. MediaEval 2012 - 2011
- [c7]Jan Schlüter
Music Similarity Estimation with the Mean-Covariance Restricted Boltzmann Machine. ICMLA (2) 2011: 118-123 - [c6]Jan Schlueter, Dominik Schmitz, Malte Brettel, Matthias Jarke, Ralf Klamma:
Causal vs. Effectual Behavior - Support for Entrepreneurs. iStar 2011: 126-131
2000 – 2009
- 2009
- [c5]Lawrence Cabac, Kolja Markwardt, Jan Schlüter:
ImageNetDiff: Finding Differences in Models. MSVVEIS 2009: 156-161 - 2008
- [c4]Jan Schlüter, Lawrence Cabac, Daniel Moldt:
Adding Runtime Net Manipulation Features to MulanViewer. AWPN 2008: 87-92 - [c3]Lawrence Cabac, Jan Schlüter:
ImageNetDiff: A Visual Aid to Support the Discovery of Differences in Petri Nets. AWPN 2008: 93-98 - [c2]Jan Schlüter, Stephanie Teufel:
secalyser - a system to plan training for employees. HAISA 2008: 24-34 - [c1]Jan Schlüter, Birgit Novy, Jorge Marx Gómez, Stephanie Teufel:
Automatisierte Erstellung von Wissensbilanzen. Multikonferenz Wirtschaftsinformatik 2008
Coauthor Index
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last updated on 2024-11-28 20:26 CET by the dblp team
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