Images captured in poorly lit conditions are often corrupted by acquisit...
In agronomics, predicting crop yield at a per field/county granularity i...
We study 3D point cloud attribute compression using a volumetric approac...
A basic premise in graph signal processing (GSP) is that a graph encodin...
Prediction of annual crop yields at a county granularity is important fo...
Transform coding to sparsify signal representations remains crucial in a...
Our goal is to efficiently compute low-dimensional latent coordinates fo...
A 3D point cloud is typically constructed from depth measurements acquir...
We study the problem of efficiently summarizing a short video into sever...
Algorithm unfolding creates an interpretable and parsimonious neural net...
In semi-supervised graph-based binary classifier learning, a subset of k...
Learning a suitable graph is an important precursor to many graph signal...
While deep learning (DL) architectures like convolutional neural network...
The study of sampling signals on graphs, with the goal of building an an...
A 3D point cloud is often synthesized from depth measurements collected ...
We propose a fast general projection-free metric learning framework, whe...
Convolutional neural network (CNN)-based feature learning has become sta...
Identifying an appropriate underlying graph kernel that reflects pairwis...
We propose to combine the robustness merit of model-based approaches and...
Despite generative adversarial networks (GANs) can hallucinate
photo-rea...
3D point cloud - a new signal representation of volumetric objects - is ...
Blind image deblurring, i.e., deblurring without knowledge of the blur
k...
Reversible data hiding (RDH) is desirable in applications where both the...
Blind image deblurring, i.e., deblurring without knowledge of the blur
k...
Virtual reality (VR) video provides an immersive 360 viewing experience ...
Recent advent in graph signal processing (GSP) has led to the developmen...
Given the prevalence of JPEG compressed images, optimizing image
reconst...
Inverse imaging problems are inherently under-determined, and hence it i...
Enabling users to interactively navigate through different viewpoints of...