Christian Blum — accepted AI-conference papers

2023

Saliency-Driven Hierarchical Learned Image Coding for Machines

Kristian Fischer, Fabian Brand, Christian Blum, André Kaup

ICASSP 2023accepted

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. By that, different areas of the image are coded at different qualities depending on whether salient objects are located i…

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2020

NuCDS: An Efficient Local Search Algorithm for Minimum Connected Dominating Set

Bohan Li, Xindi Zhang, Shaowei Cai, Jinkun Lin, Yiyuan Wang, Christian Blum

IJCAI 2020poster

The minimum connected dominating set (MCDS) problem is an important extension of the minimum dominating set problem, with wide applications, especially in wireless networks. Despite its practical importance, there are few works on solving MCDS for massive graphs, mainly due to the complexity of main…

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