New Paper: Compressed sensing for efficient encoding of dense 3D meshes using model-based Bayesian learning
This research develops a model-based Bayesian learning approach to efficiently encode dense 3D meshes using compressed sensing, achieving higher compression ratios while preserving visual quality.
Dr. Evangelos Vlachos
Tenure-track Researcher (Researcher C)
My research focuses on Cyber-Physical Systems, UAVs, and 6G networks, bridging the gap between theory and real-world implementation.