3 citations · 4 across the 6 of their papers we have counts for
6 papers
On Annotation-free Optimization of Video Coding for Machines
Marc Windsheimer, Fabian Brand, André Kaup
Today, image and video data is not only viewed by humans, but also automatically analyzed by computer vision algorithms. However, current coding standards are optimized for human p…
Analysis of Neural Video Compression Networks for 360-Degree Video Coding
Andy Regensky, Fabian Brand, André Kaup
With the increasing efforts of bringing high-quality virtual reality technologies into the market, efficient 360-degree video compression gains in importance. As such, the state-of…
Spatially-Adaptive Learning-Based Image Compression with Hierarchical Multi-Scale Latent Spaces
Fabian Brand, Alexander Kopte, Kristian Fischer +1
Adaptive block partitioning is responsible for large gains in current image and video compression systems. This method is able to compress large stationary image areas with only a…
Saliency-Driven Hierarchical Learned Image Coding for Machines
Kristian Fischer, Fabian Brand, Christian Blum +1
We propose to employ a saliency-driven hierarchical neural image compression network for a machine-to-machine communication scenario following the compress-then-analyze paradigm. B…
Learning Frequency-Specific Quantization Scaling in VVC for Standard-Compliant Task-driven Image Coding
Kristian Fischer, Fabian Brand, Christian Herglotz +1
Today, visual data is often analyzed by a neural network without any human being involved, which demands for specialized codecs. For standard-compliant codec adaptations towards ce…
Generalized Difference Coder: A Novel Conditional Autoencoder Structure for Video Compression
Fabian Brand, Jürgen Seiler, André Kaup
Motion compensated inter prediction is a common component of all video coders. The concept was established in traditional hybrid coding and successfully transferred to learning-bas…