52 citations · 52 across the 3 of their papers we have counts for
3 papers
cs.CV2020
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…
cs.AI2019★ 52 cited
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…
cs.CV2019
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…