14 citations · 14 across the 3 of their papers we have counts for
4 papers
Polynomial Trajectory Predictions for Improved Learning Performance
Ido Freeman, Kun Zhao, Anton Kummert
The rising demand for Active Safety systems in automotive applications stresses the need for a reliable short to mid-term trajectory prediction. Anticipating the unfolding path of…
A Statistical Defense Approach for Detecting Adversarial Examples
Alessandro Cennamo, Ido Freeman, Anton Kummert
Adversarial examples are maliciously modified inputs created to fool deep neural networks (DNN). The discovery of such inputs presents a major issue to the expansion of DNN-based s…
EffNet: An Efficient Structure for Convolutional Neural Networks
Ido Freeman, Lutz Roese-Koerner, Anton Kummert
With the ever increasing application of Convolutional Neural Networks to customer products the need emerges for models to efficiently run on embedded, mobile hardware. Slimmer mode…
Learning Robust Video Synchronization without Annotations
Patrick Wieschollek, Ido Freeman, Hendrik P. A. Lensch
Aligning video sequences is a fundamental yet still unsolved component for a broad range of applications in computer graphics and vision. Most classical image processing methods ca…