147 citations · 426 across the 40 of their papers we have counts for
6 papers · 1 filter
Learning-Based Reconstruction of FRI Signals
Vincent C. H. Leung, Jun-Jie Huang, Yonina C. Eldar +1
Finite Rate of Innovation (FRI) sampling theory enables reconstruction of classes of continuous non-bandlimited signals that have a small number of free parameters from their low-r…
Generative Joint Source-Channel Coding for Semantic Image Transmission
Ecenaz Erdemir, Tze-Yang Tung, Pier Luigi Dragotti +1
Recent works have shown that joint source-channel coding (JSCC) schemes using deep neural networks (DNNs), called DeepJSCC, provide promising results in wireless image transmission…
A Fast Automatic Method for Deconvoluting Macro X-ray Fluorescence Data Collected from Easel Paintings
Su Yan, Jun-Jie Huang, Herman Verinaz-Jadan +3
Macro X-ray Fluorescence (MA-XRF) scanning is increasingly widely used by researchers in heritage science to analyse easel paintings as one of a suite of non-invasive imaging techn…
DURRNet: Deep Unfolded Single Image Reflection Removal Network
Jun-Jie Huang, Tianrui Liu, Zhixiong Yang +3
Single image reflection removal problem aims to divide a reflection-contaminated image into a transmission image and a reflection image. It is a canonical blind source separation p…
Active Privacy-Utility Trade-off Against Inference in Time-Series Data Sharing
Ecenaz Erdemir, Pier Luigi Dragotti, Deniz Gunduz
Internet of things (IoT) devices, such as smart meters, smart speakers and activity monitors, have become highly popular thanks to the services they offer. However, in addition to…
Mixed X-Ray Image Separation for Artworks with Concealed Designs
Wei Pu, Jun-Jie Huang, Barak Sober +5
In this paper, we focus on X-ray images of paintings with concealed sub-surface designs (e.g., deriving from reuse of the painting support or revision of a composition by the artis…