Search Results for author:
Found 4 papers, 1 papers with code
Polynomial Trajectory Predictions for Improved Learning Performance
The rising demand for Active Safety systems in automotive applications stresses the need for a reliable short to mid-term trajectory prediction.
A Statistical Defense Approach for Detecting Adversarial Examples
Then, the signature is projected onto the class-specific statistic vector to infer the input's nature.
EffNet: An Efficient Structure for Convolutional Neural Networks
With the ever increasing application of Convolutional Neural Networks to customer products the need emerges for models to efficiently run on embedded, mobile hardware.
Learning Robust Video Synchronization without Annotations
Aligning video sequences is a fundamental yet still unsolved component for a broad range of applications in computer graphics and vision.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
