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
54 papers
Greening AI Inference with Accuracy and Latency-aware User Incentives
Vasilios A. Siris, Adamantia Stamou, George D. Stamoulis +2
The widespread use of AI services has raised concerns for its environmental sustainability, towards which recent studies have identified carbon emissions of AI inference as the maj…
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…