10 papers
Performance Analysis of Automotive SAR With Radar Based Motion Estimation
Oded Bialer, Tom Tirer
Automotive synthetic aperture radar (SAR) can achieve a significant angular resolution enhancement for detecting static objects, which is essential for automated driving. Obtaining…
Direction of Arrival Estimation and Phase-Correction for Non-Coherent Sub-Arrays: A Convex Optimization Approach
Tom Tirer, Oded Bialer
Estimating the direction of arrival (DOA) of sources is an important problem in aerospace and vehicular communication, localization and radar. In this paper, we consider a challeng…
Image Restoration by Deep Projected GSURE
Shady Abu-Hussein, Tom Tirer, Se Young Chun +2
Ill-posed inverse problems appear in many image processing applications, such as deblurring and super-resolution. In recent years, solutions that are based on deep Convolutional Ne…
An Interpretation of Regularization by Denoising and its Application with the Back-Projected Fidelity Term
Einav Yogev-Ofer, Tom Tirer, Raja Giryes
The vast majority of image recovery tasks are ill-posed problems. As such, methods that are based on optimization use cost functions that consist of both fidelity and prior (regula…
Direction of Arrival Estimation for Non-Coherent Sub-Arrays via Joint Sparse and Low-Rank Signal Recovery
Tom Tirer, Oded Bialer
Estimating the directions of arrival (DOAs) of multiple sources from a single snapshot obtained by a coherent antenna array is a well-known problem, which can be addressed by spars…
BP-DIP: A Backprojection based Deep Image Prior
Jenny Zukerman, Tom Tirer, Raja Giryes
Deep neural networks are a very powerful tool for many computer vision tasks, including image restoration, exhibiting state-of-the-art results. However, the performance of deep lea…