5 accepted papers
This work presents Insert Anything, a unified framework for reference-based image insertion that seamlessly integrates objects from reference images into target scenes under flexible, user-specified control guidance. Instead of training separate models for individual tasks, our approach is trained o
This paper presents a mixed far-field (FF) and near-field (NF) source localization method based on Newtonalized orthogonal matching pursuit (NOMP). First, the orthogonal matching pursuit (OMP) algorithm is used to coarsely estimate the angles and ranges of the mixed sources, then Newton refinement i…
In this paper, we present a mixed far-field (FF) and near-field (NF) source localization algorithm based on low-rank matrix reconstruction (LRMR). At first, the signal covariance matrix is recovered by solving an optimization problem to obtain the signal component and suppress the noise component vi…
The frequency diverse array (FDA), which exploits a small frequency increment across the transmitting antenna elements, has been recently introduced to multiple-input- multiple-output (MIMO) radar to offer the capability of range-angle-dependent beampattern and target localization. Traditionally, th…
Traditional methods of target parameter estimation in MIMO radar are carried out under the assumption that the number of observations is much larger than the number of array elements. However, their estimation performance will decline for the MIMO radar with large arrays and insufficient observation…