18 citations · 22 across the 5 of their papers we have counts for
5 papers
SegForestNet: Spatial-Partitioning-Based Aerial Image Segmentation
Daniel Gritzner, Jörn Ostermann
Aerial image segmentation is the basis for applications such as automatically creating maps or tracking deforestation. In true orthophotos, which are often used in these applicatio…
HEVC Inter Coding Using Deep Recurrent Neural Networks and Artificial Reference Pictures
Felix Haub, Thorsten Laude, Jörn Ostermann
The efficiency of motion compensated prediction in modern video codecs highly depends on the available reference pictures. Occlusions and non-linear motion pose challenges for the…
Neural Network Compression using Transform Coding and Clustering
Thorsten Laude, Yannick Richter, Jörn Ostermann
With the deployment of neural networks on mobile devices and the necessity of transmitting neural networks over limited or expensive channels, the file size of the trained model wa…
Unsupervised Features for Facial Expression Intensity Estimation over Time
Maren Awiszus, Stella Graßhof, Felix Kuhnke +1
The diversity of facial shapes and motions among persons is one of the greatest challenges for automatic analysis of facial expressions. In this paper, we propose a feature describ…
Evolutionary optimization of an experimental apparatus
I. Geisel, K. Cordes, J. Mahnke +5
In recent decades, cold atom experiments have become increasingly complex. While computers control most parameters, optimization is mostly done manually. This is a time-consuming t…