4 citations · 5 across the 3 of their papers we have counts for
6 papers
An Algorithm Unrolling Approach to Deep Image Deblurring
Yuelong Li, Mohammad Tofighi, Vishal Monga +1
While neural networks have achieved vastly enhanced performance over traditional iterative methods in many cases, they are generally empirically designed and the underlying structu…
Deep Algorithm Unrolling for Blind Image Deblurring
Yuelong Li, Mohammad Tofighi, Junyi Geng +2
Blind image deblurring remains a topic of enduring interest. Learning based approaches, especially those that employ neural networks have emerged to complement traditional model ba…
Prior Information Guided Regularized Deep Learning for Cell Nucleus Detection
Mohammad Tofighi, Tiantong Guo, Jairam K. P. Vanamala +1
Cell nuclei detection is a challenging research topic because of limitations in cellular image quality and diversity of nuclear morphology, i.e. varying nuclei shapes, sizes, and o…
Denosing Using Wavelets and Projections onto the L1-Ball
A. Enis Cetin, Mohammad Tofighi
Both wavelet denoising and denosing methods using the concept of sparsity are based on soft-thresholding. In sparsity based denoising methods, it is assumed that the original signa…
Robust Head Pose Estimation Using Contourlet Transform
Mohammad Tofighi, Hashem Kalbkhani, Mahrokh G. Shayesteh +1
Estimating pose of the head is an important preprocessing step in many pattern recognition and computer vision systems such as face recognition. Since the performance of the face r…
Compensating Interpolation Distortion by Using New Optimized Modular Method
Mohammad Tofighi, Ali Ayremlou, Farokh Marvasti
A modular method was suggested before to recover a band limited signal from the sample and hold and linearly interpolated (or, in general, an nth-order-hold) version of the regular…