Search Results for author: David Münch

Found 5 papers, 0 papers with code

Eigenpatches -- Adversarial Patches from Principal Components

no code implementations19 Jun 2023 Jens Bayer, Stefan Becker, David Münch, Michael Arens

The patches of these so-called evasion attacks are computational expensive to produce and require full access to the attacked detector.

Object

A Comparison of Deep Saliency Map Generators on Multispectral Data in Object Detection

no code implementations26 Aug 2021 Jens Bayer, David Münch, Michael Arens

The dataset used in this work is the Multispectral Object Detection Dataset, where each scene is available in the FIR, MIR and NIR as well as visual spectrum.

Autonomous Driving Image Classification +5

Image-based OoD-Detector Principles on Graph-based Input Data in Human Action Recognition

no code implementations3 Mar 2020 Jens Bayer, David Münch, Michael Arens

Therefore, it is necessary for such a learning-based system in a real world environment, to be aware of its own capabilities and limits and to be able to distinguish between confident and unconfident results of the inference, especially if the sample cannot be explained by the underlying distribution.

Action Recognition Metric Learning +2

Investigation on Combining 3D Convolution of Image Data and Optical Flow to Generate Temporal Action Proposals

no code implementations11 Mar 2019 Patrick Schlosser, David Münch, Michael Arens

In this paper, several variants of two-stream architectures for temporal action proposal generation in long, untrimmed videos are presented.

Action Recognition Optical Flow Estimation +1

Cannot find the paper you are looking for? You can Submit a new open access paper.