209 citations · 374 across the 12 of their papers we have counts for
15 papers
Efficient Rotation Invariance in Deep Neural Networks through Artificial Mental Rotation
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. Artificial pattern recognizers also strive to ach…
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
Peng Yan, Ahmed Abdulkadir, Paul-Philipp Luley +4
Automating the monitoring of industrial processes has the potential to enhance efficiency and optimize quality by promptly detecting abnormal events and thus facilitating timely in…
Video object detection for privacy-preserving patient monitoring in intensive care
Raphael Emberger, Jens Michael Boss, Daniel Baumann +5
Patient monitoring in intensive care units, although assisted by biosensors, needs continuous supervision of staff. To reduce the burden on staff members, IT infrastructures are bu…
Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps
Mohammadreza Amirian, Friedhelm Schwenker, Thilo Stadelmann
The existence of adversarial attacks on convolutional neural networks (CNN) questions the fitness of such models for serious applications. The attacks manipulate an input image suc…
PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis
Mohammadreza Amirian, Javier A. Montoya-Zegarra, Jonathan Gruss +5
With the spread of COVID-19 over the world, the need arose for fast and precise automatic triage mechanisms to decelerate the spread of the disease by reducing human efforts e.g. f…
A Theory of Natural Intelligence
Christoph von der Malsburg, Thilo Stadelmann, Benjamin F. Grewe
Introduction: In contrast to current AI technology, natural intelligence -- the kind of autonomous intelligence that is realized in the brains of animals and humans to attain in th…