Automating the monitoring of industrial processes has the potential to
e...
Patient monitoring in intensive care units, although assisted by biosens...
The existence of adversarial attacks on convolutional neural networks (C...
With the spread of COVID-19 over the world, the need arose for fast and
...
An implicit but pervasive hypothesis of modern computer vision research ...
We present preliminary results from our sixth placed entry to the Flatla...
A main driver behind the digitization of industry and society is the bel...
This paper gives an overview of our current Optical Music Recognition (O...
Deep learning with neural networks is applied by an increasing number of...
We propose a novel end-to-end neural network architecture that, once tra...
Optical Music Recognition (OMR) is an important and challenging area wit...
Speaker clustering is the task of forming speaker-specific groups based ...
We present the DeepScores dataset with the goal of advancing the
state-o...