2 citations · 4 across the 4 of their papers we have counts for
4 papers
Multi-view Disparity Estimation Using a Novel Gradient Consistency Model
James L. Gray, Aous T. Naman, David S. Taubman
Variational approaches to disparity estimation typically use a linearised brightness constancy constraint, which only applies in smooth regions and over small distances. Accordingl…
Neural Network Assisted Lifting Steps For Improved Fully Scalable Lossy Image Compression in JPEG 2000
Xinyue Li, Aous Naman, David Taubman
This work proposes to augment the lifting steps of the conventional wavelet transform with additional neural network assisted lifting steps. These additional steps reduce residual…
Exploration of Learned Lifting-Based Transform Structures for Fully Scalable and Accessible Wavelet-Like Image Compression
Xinyue Li, Aous Naman, David Taubman
This paper provides a comprehensive study on features and performance of different ways to incorporate neural networks into lifting-based wavelet-like transforms, within the contex…
Welsch Based Multiview Disparity Estimation
James L. Gray, Aous T. Naman, David S. Taubman
In this work, we explore disparity estimation from a high number of views. We experimentally identify occlusions as a key challenge for disparity estimation for applications with h…