8 citations · 16 across the 9 of their papers we have counts for
9 papers
Highlight Specular Reflection Separation based on Tensor Low-rank and Sparse Decomposition Using Polarimetric Cues
Moein Shakeri, Hong Zhang
This paper is concerned with specular reflection removal based on tensor low-rank decomposition framework with the help of polarization information. Our method is motivated by the…
Deep Polarimetric HDR Reconstruction
Juiwen Ting, Moein Shakeri, Hong Zhang
This paper proposes a novel learning based high-dynamic-range (HDR) reconstruction method using a polarization camera. We utilize a previous observation that polarization filters w…
Online Mutual Adaptation of Deep Depth Prediction and Visual SLAM
Shing Yan Loo, Moein Shakeri, Sai Hong Tang +2
The ability of accurate depth prediction by a convolutional neural network (CNN) is a major challenge for its wide use in practical visual simultaneous localization and mapping (SL…
Polarimetric Monocular Dense Mapping Using Relative Deep Depth Prior
Moein Shakeri, Shing Yan Loo, Hong Zhang
This paper is concerned with polarimetric dense map reconstruction based on a polarization camera with the help of relative depth information as a prior. In general, polarization i…
Moving Object Detection under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition
Moein Shakeri, Hong Zhang
Although low-rank and sparse decomposition based methods have been successfully applied to the problem of moving object detection using structured sparsity-inducing norms, they are…
Online Illumination Invariant Moving Object Detection by Generative Neural Network
Fateme Bahri, Moein Shakeri, Nilanjan Ray
Moving object detection (MOD) is a significant problem in computer vision that has many real world applications. Different categories of methods have been proposed to solve MOD. On…