83 citations
- Technical University of MunichDE20 papers
- Huawei Technologies (Germany)DE19 papers
- Technische Universität BerlinDE6 papers
- Huawei Technologies (China)CN4 papers
- ETH ZurichCH3 papers
- Hasso Plattner InstituteDE3 papers
- Universidade Federal do CearáBR3 papers
- University of CoimbraPT3 papers
- Centro de Investigação em Ciências da Informação Tecnologias e ArquiteturaPT2 papers
- Christian-Albrechts-Universität zu KielDE2 papers
- Imperial College LondonGB2 papers
- Iscte – Instituto Universitário de LisboaPT2 papers
8 papers · 1 filter
TICAL: Trusted and Integrity-protected Compilation of AppLications
Robert Krahn, Nikson Kanti Paul, Franz Gregor +4
During the past few years, we have witnessed various efforts to provide confidentiality and integrity for applications running in untrusted environments such as public clouds. In m…
Rate-Adaptive Protograph-Based MacKay-Neal Codes
Ayman Zahr, Emna Ben Yacoub, Balázs Matuz +1
Rate-adaptive MacKay-Neal (MN) codes based on protographs are analyzed. The code construction employs an outer distribution matcher (DM) to adapt the rate of the scheme. The DM is…
PRATA: A Framework to Enable Predictive QoS in Vehicular Networks via Artificial Intelligence
Federico Mason, Tommaso Zugno, Matteo Drago +3
Predictive Quality of Service (PQoS) makes it possible to anticipate QoS changes, e.g., in wireless networks, and trigger appropriate countermeasures to avoid performance degradati…
Overview of Variable Rate Coding in JPEG AI
Panqi Jia, Fabian Brand, Dequan Yu +3
Empirical evidence has demonstrated that learning-based image compression can outperform classical compression frameworks. This has led to the ongoing standardization of learned-ba…
ConsistentDreamer: View-Consistent Meshes Through Balanced Multi-View Gaussian Optimization
Onat Şahin, Mohammad Altillawi, George Eskandar +2
Recent advances in diffusion models have significantly improved 3D generation, enabling the use of assets generated from an image for embodied AI simulations. However, the one-to-m…
LiDAR Loop Closure Detection using Semantic Graphs with Graph Attention Networks
Liudi Yang, Ruben Mascaro, Ignacio Alzugaray +4
In this paper, we propose a novel loop closure detection algorithm that uses graph attention neural networks to encode semantic graphs to perform place recognition and then use sem…