11 citations · 23 across the 7 of their papers we have counts for
10 papers
RFVTM: A Recovery and Filtering Vertex Trichotomy Matching for Remote Sensing Image Registration
Ming Zhao, Bowen An, Yongpeng Wu +2
Reliable feature point matching is a vital yet challenging process in feature-based image registration. In this paper,a robust feature point matching algorithm called Recovery and…
A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation
Huynh Van Luong, Boris Joukovsky, Yonina C. Eldar +1
Deep unfolded neural networks are designed by unrolling the iterations of optimization algorithms. They can be shown to achieve faster convergence and higher accuracy than their op…
Interpretable Deep Recurrent Neural Networks via Unfolding Reweighted - Minimization: Architecture Design and Generalization Analysis
Huynh Van Luong, Boris Joukovsky, Nikos Deligiannis
Deep unfolding methods---for example, the learned iterative shrinkage thresholding algorithm (LISTA)---design deep neural networks as learned variations of optimization methods. Th…
Designing recurrent neural networks by unfolding an l1-l1 minimization algorithm
Hung Duy Le, Huynh Van Luong, Nikos Deligiannis
We propose a new deep recurrent neural network (RNN) architecture for sequential signal reconstruction. Our network is designed by unfolding the iterations of the proximal gradient…
Online Decomposition of Compressive Streaming Data Using - Cluster-Weighted Minimization
Huynh Van Luong, Nikos Deligiannis, Søren Forchhammer +1
We consider a decomposition method for compressive streaming data in the context of online compressive Robust Principle Component Analysis (RPCA). The proposed decomposition solves…
Compressive Online Robust Principal Component Analysis with Optical Flow for Video Foreground-Background Separation
Srivatsa Prativadibhayankaram, Huynh Van Luong, Thanh-Ha Le +1
In the context of online Robust Principle Component Analysis (RPCA) for the video foreground-background separation, we propose a compressive online RPCA with optical flow that sepa…
Incorporating Prior Information in Compressive Online Robust Principal Component Analysis
Huynh Van Luong, Nikos Deligiannis, Jurgen Seiler +2
We consider an online version of the robust Principle Component Analysis (PCA), which arises naturally in time-varying source separations such as video foreground-background separa…
Distributed Coding of Multiview Sparse Sources with Joint Recovery
Huynh Van Luong, Nikos Deligiannis, Søren Forchhammer +1
In support of applications involving multiview sources in distributed object recognition using lightweight cameras, we propose a new method for the distributed coding of sparse sou…
Sparse Signal Reconstruction with Multiple Side Information using Adaptive Weights for Multiview Sources
Huynh Van Luong, Jürgen Seiler, André Kaup +1
This work considers reconstructing a target signal in a context of distributed sparse sources. We propose an efficient reconstruction algorithm with the aid of other given sources…
Measurement Bounds for Sparse Signal Reconstruction with Multiple Side Information
Huynh Van Luong, Jurgen Seiler, Andre Kaup +2
In the context of compressed sensing (CS), this paper considers the problem of reconstructing sparse signals with the aid of other given correlated sources as multiple side informa…