We study the collaborative image retrieval problem at the wireless edge, where multiple
edge devices capture images of the same object from different angles and locations, which …

Motivated by surveillance applications with wireless cameras or drones, we consider the
problem of image retrieval over a wireless channel. Conventional systems apply lossy …

With the recent advancements in edge artificial intelligence (AI), future sixth-generation (6G)
networks need to support new AI tasks such as classification and clustering apart from data …

We study the image retrieval problem at the wireless edge, where an edge device captures
an image, which is then used to retrieve similar images from an edge server. These can be …

We propose a joint source and channel coding (JSCC) technique for wireless image
transmission that does not rely on explicit codes for either compression or error correction; …

We address the problem of cross-domain image retrieval, considering the following practical
application: given a user photo depicting a clothing image, our goal is to retrieve the same or …

Composed image retrieval aims to find an image that best matches a given multi-modal user
query consisting of a reference image and text pair. Existing methods commonly pre …

Joint source-channel coding schemes based on deep neural networks (DeepJSCC) have
recently achieved remarkable performance for wireless image transmission. However, these …

Recent research on joint source channel coding (JSCC) for wireless communications has
achieved great success owing to the employment of deep learning (DL). However, the …

Today's intelligent applications can achieve high performance accuracy using machine
learning (ML) techniques, such as deep neural networks (DNNs). Traditionally, in a remote …