Lukas Tuggener

According to our database, Lukas Tuggener authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Real World Music Object Recognition.

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

Trans. Int. Soc. Music. Inf. Retr., January, 2024

2023

Efficient Rotation Invariance in Deep Neural Networks through Artificial Mental Rotation.

Lukas Tuggener, Thilo Stadelmann, Jürgen Schmidhuber

CoRR, 2023

Video Object Detection for Privacy-Preserving Patient Monitoring in Intensive Care.

Raphael Emberger, Jens Michael Boss, Daniel Baumann, Marko Seric, Shufan Huo, Lukas Tuggener, Emanuela Keller, Thilo Stadelmann

Proceedings of the 10th IEEE Swiss Conference on Data Science, 2023

2022

Is it enough to optimize CNN architectures on ImageNet?

Lukas Tuggener, Jürgen Schmidhuber, Thilo Stadelmann

Frontiers Comput. Sci., 2022

2020

Two to Trust: AutoML for Safe Modelling and Interpretable Deep Learning for Robustness.

Mohammadreza Amirian, Lukas Tuggener, Ricardo Chavarriaga, Yvan Putra Satyawan, Frank-Peter Schilling, Friedhelm Schwenker, Thilo Stadelmann

Proceedings of the Trustworthy AI - Integrating Learning, Optimization and Reasoning, 2020

The DeepScoresV2 Dataset and Benchmark for Music Object Detection.

Lukas Tuggener, Yvan Putra Satyawan, Alexander Pacha, Jürgen Schmidhuber, Thilo Stadelmann

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Automated Machine Learning in Practice: State of the Art and Recent Results.

Lukas Tuggener, Mohammadreza Amirian, Katharina Rombach, Stefan Lörwald, Anastasia Varlet, Christian Westermann, Thilo Stadelmann

Proceedings of the 6th Swiss Conference on Data Science, 2019

2018

DeepScores and Deep Watershed Detection: current state and open issues.

Ismail Elezi, Lukas Tuggener, Marcello Pelillo, Thilo Stadelmann

CoRR, 2018

Deep Watershed Detector for Music Object Recognition.

Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Thilo Stadelmann

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects.

Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Marcello Pelillo, Thilo Stadelmann

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Deep Learning in the Wild.

Thilo Stadelmann, Mohammadreza Amirian, Ismail Arabaci, Marek Arnold, Gilbert François Duivesteijn, Ismail Elezi, Melanie Geiger, Stefan Lörwald, Benjamin Bruno Meier, Katharina Rombach, Lukas Tuggener

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018