activity
20182021
most citedSemi-Supervised Monocular Depth Estimation with Left-Right Consistency Using Deep Neural Network

9 citations · 9 across the 3 of their papers we have counts for

collaborators

7 papers

eess.IV2021

Deep Snapshot HDR Reconstruction Based on the Polarization Camera

Juiwen Ting, Xuesong Wu, Kangkang Hu +1

The recent development of the on-chip micro-polarizer technology has made it possible to acquire four spatially aligned and temporally synchronized polarization images with the sam…

cs.CV2021

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…

cs.CV2020

To Filter Prune, or to Layer Prune, That Is The Question

Sara Elkerdawy, Mostafa Elhoushi, Abhineet Singh +2

Recent advances in pruning of neural networks have made it possible to remove a large number of filters or weights without any perceptible drop in accuracy. The number of parameter…

cs.CV20199 cited

Semi-Supervised Monocular Depth Estimation with Left-Right Consistency Using Deep Neural Network

Ali Jahani Amiri, Shing Yan Loo, Hong Zhang

There has been tremendous research progress in estimating the depth of a scene from a monocular camera image. Existing methods for single-image depth prediction are exclusively bas…

cs.CV2019

Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter pruning

Sara Elkerdawy, Hong Zhang, Nilanjan Ray

Convolutional neural networks (CNNs) have emerged as the state-of-the-art in multiple vision tasks including depth estimation. However, memory and computing power requirements rema…

cs.CV2019

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…