no code implementations • 14 Nov 2023 • Lukas Tuggener, Thilo Stadelmann, Jürgen Schmidhuber
Humans and animals recognize objects irrespective of the beholder's point of view, which may drastically change their appearances.
1 code implementation • 26 Jun 2023 • Raphael Emberger, Jens Michael Boss, Daniel Baumann, Marko Seric, Shufan Huo, Lukas Tuggener, Emanuela Keller, Thilo Stadelmann
In this paper, we propose a new method for exploiting information in the temporal succession of video frames.
1 code implementation • 16 Mar 2021 • Lukas Tuggener, Jürgen Schmidhuber, Thilo Stadelmann
In this work we challenge the notion that CNN architecture design solely based on ImageNet leads to generally effective convolutional neural network (CNN) architectures that perform well on a diverse set of datasets and application domains.
no code implementations • 19 Jul 2019 • Lukas Tuggener, Mohammadreza Amirian, Katharina Rombach, Stefan Lörwald, Anastasia Varlet, Christian Westermann, Thilo Stadelmann
A main driver behind the digitization of industry and society is the belief that data-driven model building and decision making can contribute to higher degrees of automation and more informed decisions.
1 code implementation • 12 Oct 2018 • Ismail Elezi, Lukas Tuggener, Marcello Pelillo, Thilo Stadelmann
This paper gives an overview of our current Optical Music Recognition (OMR) research.
no code implementations • 13 Jul 2018 • 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 with neural networks is applied by an increasing number of people outside of classic research environments, due to the vast success of the methodology on a wide range of machine perception tasks.
no code implementations • 26 May 2018 • Lukas Tuggener, Ismail Elezi, Jurgen Schmidhuber, Thilo Stadelmann
Optical Music Recognition (OMR) is an important and challenging area within music information retrieval, the accurate detection of music symbols in digital images is a core functionality of any OMR pipeline.
2 code implementations • 27 Mar 2018 • Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Marcello Pelillo, Thilo Stadelmann
We present the DeepScores dataset with the goal of advancing the state-of-the-art in small objects recognition, and by placing the question of object recognition in the context of scene understanding.