Overview

Author: Thierry BOUWMANS, Associate Professor, Lab. MIA, Univ. La Rochelle, France. 

Further Improvements

If you would like to list your publication related to this topic on this website, please send me your publication in .pdf and I will add the reference.

Fair Use Policy

As this website gives many information that come from my research, please cite my following papers:

J. Giraldo, S. Javed, N. Werghi, T. Bouwmans, "Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos", Fourth Workshop on Robust Subspace Learning and Computer Vision, ICCV 2021, Montréal, Canada, October 2021. 

A. Mondal, R. Shashant, J. Giraldo, T. Bouwmans, A. Chowdhury, "Moving Object Detection for Event-based Vision using Graph Spectral Clustering", First Workshop on "When Graph Signal Processing meets Computer Vision", ICCV 2021, Montréal, Canada, October 2021. 

Objective

The aim of this web site is to provide resources such as references (227 papers), datasets (datasets), codes (codes) and links to demonstration websites (websites)  for the research on graph signal processing, graph neural networks and graph spectral clustering by grouping all related researches and particularly recent advances in this field. For this, it  is organized in the following sections:

A) Graph Signal Processing (97 papers)

Sampling Signal Techniques (21 papers), Recovery Techniques (18 papers), Time Varying Graphs (37 papers), Adaptive Graph Signal Processing (1 paper), Graph Fourier Transform (14 papers), Distributed Graph Signal Processing (3 papers), Parallel Graph Signal Processing (1 paper), Generalized Graph Signal Processing (1 paper),  Graph DCT (1 paper)

B) Graph Neural Networks / Hypergraph Neural Networks (72 papers)

C) Graph Spectral Clustering (1 paper)

Application (1 paper)

D) Graph Similarity (2 papers)

E) Applications [Graph Signal Processing] (41 papers)

E.1) Applications in Signal Processing (4 papers)

Signal (2 papers), Radar (1 paper), Direction-of-Arrival Estimation (1)

E.2) Applications in Computer Science (6 papers)

Recommendation System (6 papers)

E.3) Applications in Computer Vision (15 papers)

Image Processing (3 papers), Video Processing (7 papers), 3D Computer Vision (5 papers)

E.4) Applications in Chemistry (2 papers)

E.5) Applications in Industry (1 paper)

E.6) Applications - Others (13 papers)

Feature Extraction (1 paper), Electricity (1 paper), Transportation Networks (9 papers), Ecology (1 paper)

F) Surveys (14 papers)