52 citations · 54 across the 5 of their papers we have counts for
6 papers
Augmentation techniques for video surveillance in the visible and thermal spectral range
Vanessa Buhrmester, Ann-Kristin Grosselfinger, David Munch +1
In intelligent video surveillance, cameras record image sequences during day and night. Commonly, this demands different sensors. To achieve a better performance it is not unusual…
Higher-Order Adversarial Patches for Real-Time Object Detectors
Jens Bayer, Stefan Becker, David Münch +2
Higher-order adversarial attacks can directly be considered the result of a cat-and-mouse game -- an elaborate action involving constant pursuit, near captures, and repeated escape…
Network transferability of adversarial patches in real-time object detection
Jens Bayer, Stefan Becker, David Münch +1
Adversarial patches in computer vision can be used, to fool deep neural networks and manipulate their decision-making process. One of the most prominent examples of adversarial pat…
Image-based OoD-Detector Principles on Graph-based Input Data in Human Action Recognition
Jens Bayer, David Münch, Michael Arens
Living in a complex world like ours makes it unacceptable that a practical implementation of a machine learning system assumes a closed world. Therefore, it is necessary for such a…
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey
Vanessa Buhrmester, David Münch, Michael Arens
Deep Learning is a state-of-the-art technique to make inference on extensive or complex data. As a black box model due to their multilayer nonlinear structure, Deep Neural Networks…
Investigation on Combining 3D Convolution of Image Data and Optical Flow to Generate Temporal Action Proposals
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. Inspired by the recent advances in the…