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4 papers · 1 filter
Graph Signal Representation with Wasserstein Barycenters
Effrosyni Simou, Pascal Frossard
In many applications signals reside on the vertices of weighted graphs. Thus, there is the need to learn low dimensional representations for graph signals that will allow for data…
Generative Adversarial Networks for Recovering Missing Spectral Information
Dung N. Tran, Trac D. Tran, Lam Nguyen
Ultra-wideband (UWB) radar systems nowadays typical operate in the low frequency spectrum to achieve penetration capability. However, this spectrum is also shared by many others co…
Generative ScatterNet Hybrid Deep Learning (G-SHDL) Network with Structural Priors for Semantic Image Segmentation
Amarjot Singh, Nick Kingsbury
This paper proposes a generative ScatterNet hybrid deep learning (G-SHDL) network for semantic image segmentation. The proposed generative architecture is able to train rapidly fro…
The SARptical Dataset for Joint Analysis of SAR and Optical Image in Dense Urban Area
Yuanyuan Wang, Xiao Xiang Zhu
The joint interpretation of very high resolution SAR and optical images in dense urban area are not trivial due to the distinct imaging geometry of the two types of images. Especia…