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ORCIDLukas Tuggener
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2020 – today
- 2024
[j2]Lukas Tuggener
, Raphael Emberger, Adhiraj Ghosh, Pascal Sager, Yvan Putra Satyawan, Javier A. Montoya-Zegarra, Simon Goldschagg, Florian Seibold, Urs Gut, Philipp Ackermann, Jürgen Schmidhuber, Thilo Stadelmann:
Real World Music Object Recognition. Trans. Int. Soc. Music. Inf. Retr. 7(1): 1-14 (2024)- [c8]Lukas Tuggener, Pascal Sager, Yassine Taoudi-Benchekroun, Benjamin F. Grewe, Thilo Stadelmann:
So you want your private LLM at home? A survey and benchmark of methods for efficient GPTs. SDS 2024: 205-212 - 2023
- [c7]Raphael Emberger, Jens Michael Boss, Daniel Baumann, Marko Seric, Shufan Huo, Lukas Tuggener, Emanuela Keller, Thilo Stadelmann:
Video Object Detection for Privacy-Preserving Patient Monitoring in Intensive Care. SDS 2023: 85-88 - [i8]Raphael Emberger, Jens Michael Boss, Daniel Baumann, Marko Seric, Shufan Huo, Lukas Tuggener, Emanuela Keller, Thilo Stadelmann:
Video object detection for privacy-preserving patient monitoring in intensive care. CoRR abs/2306.14620 (2023) - [i7]Lukas Tuggener, Thilo Stadelmann, Jürgen Schmidhuber:
Efficient Rotation Invariance in Deep Neural Networks through Artificial Mental Rotation. CoRR abs/2311.08525 (2023) - 2022
- [j1]Lukas Tuggener, Jürgen Schmidhuber, Thilo Stadelmann:
Is it enough to optimize CNN architectures on ImageNet? Frontiers Comput. Sci. 4 (2022) - 2021
- [i6]Lukas Tuggener, Jürgen Schmidhuber, Thilo Stadelmann:
Is it Enough to Optimize CNN Architectures on ImageNet? CoRR abs/2103.09108 (2021) - 2020
- [c6]Lukas Tuggener, Yvan Putra Satyawan, Alexander Pacha, Jürgen Schmidhuber, Thilo Stadelmann:
The DeepScoresV2 Dataset and Benchmark for Music Object Detection. ICPR 2020: 9188-9195 - [c5]Mohammadreza Amirian, Lukas Tuggener, Ricardo Chavarriaga, Yvan Putra Satyawan, Frank-Peter Schilling, Friedhelm Schwenker, Thilo Stadelmann:
Two to Trust: AutoML for Safe Modelling and Interpretable Deep Learning for Robustness. TAILOR 2020: 268-275
2010 – 2019
- 2019
- [c4]Lukas Tuggener, Mohammadreza Amirian, Katharina Rombach, Stefan Lörwald, Anastasia Varlet, Christian Westermann, Thilo Stadelmann:
Automated Machine Learning in Practice: State of the Art and Recent Results. SDS 2019: 31-36 - [i5]Lukas Tuggener, Mohammadreza Amirian, Katharina Rombach, Stefan Lörwald, Anastasia Varlet, Christian Westermann, Thilo Stadelmann:
Automated Machine Learning in Practice: State of the Art and Recent Results. CoRR abs/1907.08392 (2019) - 2018
- [c3]Thilo Stadelmann, Mohammadreza Amirian, Ismail Arabaci, Marek Arnold, Gilbert François Duivesteijn, Ismail Elezi, Melanie Geiger, Stefan Lörwald, Benjamin Bruno Meier, Katharina Rombach, Lukas Tuggener:
Deep Learning in the Wild. ANNPR 2018: 17-38 - [c2]Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Marcello Pelillo, Thilo Stadelmann:
DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects. ICPR 2018: 3704-3709 - [c1]Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Thilo Stadelmann:
Deep Watershed Detector for Music Object Recognition. ISMIR 2018: 271-278 - [i4]Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Marcello Pelillo, Thilo Stadelmann:
DeepScores - A Dataset for Segmentation, Detection and Classification of Tiny Objects. CoRR abs/1804.00525 (2018) - [i3]Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Thilo Stadelmann:
Deep Watershed Detector for Music Object Recognition. CoRR abs/1805.10548 (2018) - [i2]Thilo Stadelmann, Mohammadreza Amirian, Ismail Arabaci, Marek Arnold, Gilbert François Duivesteijn, Ismail Elezi, Melanie Geiger, Stefan Lörwald, Benjamin Bruno Meier, Katharina Rombach, Lukas Tuggener:
Deep Learning in the Wild. CoRR abs/1807.04950 (2018) - [i1]Ismail Elezi, Lukas Tuggener, Marcello Pelillo, Thilo Stadelmann:
DeepScores and Deep Watershed Detection: current state and open issues. CoRR abs/1810.05423 (2018)
Coauthor Index
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