
Current
Edge Caching for Vehicular Networks (VANET)
Learning-based content caching strategies for vehicular ad-hoc networks, integrating SDN/NDN paradigms, clustering, and spiking neural networks.
Current and past research projects. Filter by status or research theme.

Learning-based content caching strategies for vehicular ad-hoc networks, integrating SDN/NDN paradigms, clustering, and spiking neural networks.

Multimodal methods connecting images and language: large-scale visual retrieval, semantic art understanding, and image caption generation.

Learning to predict depth from single images without ground-truth supervision, with a focus on dynamic scenes and challenging conditions.