53 citations · 123 across the 18 of their papers we have counts for
7 papers · 1 filter
Domain Adaptation for Unknown Image Distortions in Instance Segmentation
Maximiliane Gruber, Fabian Brand, Alina Mosebach +2
Data-driven techniques for machine vision heavily depend on the training data to sufficiently resemble the data occurring during test and application. However, in practice unknown…
On Benefits and Challenges of Conditional Interframe Video Coding in Light of Information Theory
Fabian Brand, Jürgen Seiler, André Kaup
The rise of variational autoencoders for image and video compression has opened the door to many elaborate coding techniques. One example here is the possibility of conditional int…
Video Coding for Machines with Feature-Based Rate-Distortion Optimization
Kristian Fischer, Fabian Brand, Christian Herglotz +1
Common state-of-the-art video codecs are optimized to deliver a low bitrate by providing a certain quality for the final human observer, which is achieved by rate-distortion optimi…
A Novel End-To-End Network for Reconstruction of Non-Regularly Sampled Image Data Using Locally Fully Connected Layers
Simon Grosche, Fabian Brand, André Kaup
Quarter sampling and three-quarter sampling are novel sensor concepts that enable the acquisition of higher resolution images without increasing the number of pixels. This is achie…
Enhanced Image Reconstruction From Quarter Sampling Measurements Using An Adapted Very Deep Super Resolution Network
Simon Grosche, Kristian Fischer, Fabian Brand +2
Quarter sampling is a novel sensor concept that enables the acquisition of higher resolution images without increasing the number of pixels. This is achieved by covering three quar…
A Low-Parametric Model for Bit-Rate Estimation of VVC Residual Coding
Fabian Brand, Christian Herglotz, André Kaup
There are many tasks within video compression which require fast bit rate estimation. As an example, rate-control algorithms are only feasible because it is possible to estimate th…
Learning True Rate-Distortion-Optimization for End-To-End Image Compression
Fabian Brand, Kristian Fischer, Alexander Kopte +1
Even though rate-distortion optimization is a crucial part of traditional image and video compression, not many approaches exist which transfer this concept to end-to-end-trained i…