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07/05/2023
Retinex-based Image Denoising / Contrast Enhancement using Gradient Graph Laplacian Regularizer
Images captured in poorly lit conditions are often corrupted by acquisit...
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06/02/2023
Graph Sparsification for GCN Towards Optimal Crop Yield Predictions
In agronomics, predicting crop yield at a per field/county granularity i...
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04/01/2023
Volumetric Attribute Compression for 3D Point Clouds using Feedforward Network with Geometric Attention
We study 3D point cloud attribute compression using a volumetric approac...
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08/18/2022
Efficient Signed Graph Sampling via Balancing Gershgorin Disc Perfect Alignment
A basic premise in graph signal processing (GSP) is that a graph encodin...
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08/04/2022
Unsupervised Graph Spectral Feature Denoising for Crop Yield Prediction
Prediction of annual crop yields at a county granularity is important fo...
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03/02/2022
Hybrid Model-based / Data-driven Graph Transform for Image Coding
Transform coding to sparsify signal representations remains crucial in a...
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12/15/2021
Fast Computation of Generalized Eigenvectors for Manifold Graph Embedding
Our goal is to efficiently compute low-dimensional latent coordinates fo...
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11/09/2021
Graph-Based Depth Denoising Dequantization for Point Cloud Enhancement
A 3D point cloud is typically constructed from depth measurements acquir...
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10/21/2021
Fast Graph Sampling for Short Video Summarization using Gershgorin Disc Alignment
We study the problem of efficiently summarizing a short video into sever...
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09/10/2021
Unfolding Projection-free SDP Relaxation of Binary Graph Classifier via GDPA Linearization
Algorithm unfolding creates an interpretable and parsimonious neural net...
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06/03/2021
Projection-free Graph-based Classifier Learning using Gershgorin Disc Perfect Alignment
In semi-supervised graph-based binary classifier learning, a subset of k...
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10/25/2020
Learning Sparse Graph Laplacian with K Eigenvector Prior via Iterative GLASSO and Projection
Learning a suitable graph is an important precursor to many graph signal...
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10/21/2020
Unrolling of Deep Graph Total Variation for Image Denoising
While deep learning (DL) architectures like convolutional neural network...
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03/09/2020
Sampling on Graphs: From Theory to Applications
The study of sampling signals on graphs, with the goal of building an an...
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02/11/2020
3D Point Cloud Enhancement using Graph-Modelled Multiview Depth Measurements
A 3D point cloud is often synthesized from depth measurements collected ...
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01/28/2020
Fast Graph Metric Learning via Gershgorin Disc Alignment
We propose a fast general projection-free metric learning framework, whe...
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12/06/2019
Robust Deep Graph Based Learning for Binary Classification
Convolutional neural network (CNN)-based feature learning has become sta...
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07/22/2019
Feature Graph Learning for 3D Point Cloud Denoising
Identifying an appropriate underlying graph kernel that reflects pairwis...
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07/31/2018
Deep Graph Laplacian Regularization
We propose to combine the robustness merit of model-based approaches and...
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07/22/2018
SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination
Despite generative adversarial networks (GANs) can hallucinate photo-rea...
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03/20/2018
3D Point Cloud Denoising using Graph Laplacian Regularization of a Low Dimensional Manifold Model
3D point cloud - a new signal representation of volumetric objects - is ...
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02/22/2018
Graph-Based Blind Image Deblurring From a Single Photograph
Blind image deblurring, i.e., deblurring without knowledge of the blur k...
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02/20/2018
Non-Local Graph-Based Prediction For Reversible Data Hiding In Images
Reversible data hiding (RDH) is desirable in applications where both the...
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12/24/2017
Blind Image Deblurring via Reweighted Graph Total Variation
Blind image deblurring, i.e., deblurring without knowledge of the blur k...
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03/27/2017
Multi-Stream Switching for Interactive Virtual Reality Video Streaming
Virtual reality (VR) video provides an immersive 360 viewing experience ...
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02/10/2017
Graph Fourier Transform with Negative Edges for Depth Image Coding
Recent advent in graph signal processing (GSP) has led to the developmen...
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07/07/2016
Random Walk Graph Laplacian based Smoothness Prior for Soft Decoding of JPEG Images
Given the prevalence of JPEG compressed images, optimizing image reconst...
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04/27/2016
Graph Laplacian Regularization for Image Denoising: Analysis in the Continuous Domain
Inverse imaging problems are inherently under-determined, and hence it i...
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10/18/2012
