activity
20162022
most citedRFVTM: A Recovery and Filtering Vertex Trichotomy Matching for Remote Sensing Image Registration

11 citations · 11 across the 3 of their papers we have counts for

collaborators

7 papers

eess.IV202211 cited

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…

cs.LG2020

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…

cs.LG2020

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…

cs.LG2019

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…

cs.IT2018

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…

cs.CV2017

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…