Graph Signal Processing (GSP), Graph Neural Networks (GNNs) and Graph Subspace Clustering (GSC) are emerging research fields that have proved to be helpful for the representation and analysis of irregular and unstructured data.
A. Graph Signal Processing
A.1) Computer Vision (1 chapter, 1 journal, 3 conferences)
J. Giraldo, T. Bouwmans, “Moving Objects Detection in Video Processing: A Graph Signal Processing Approach for Background Subtraction”, Book on "Artificial Intelligence Technologies, Applications, and Challenges", CRC Press, Taylor and Francis Group, 2021.
J. Giraldo, S. Javed, T. Bouwmans, "Graph Moving Object Segmentation", IEEE Transactions on Pattern Analysis and Machine Intelligence, December 2020.
J. Giraldo, S. Javed, M. Sultana, S. Jung, T. Bouwmans, "The Emerging Field of Graph Signal Processing for Moving Object Segmentation", International Workshop on Frontiers of Computer Vision, IW-FCV 2021, Daegu, South Korea, February 2021.
J. Giraldo, T. Bouwmans, "GraphBGS: Background Subtraction via Recovery of Graph Signals", International Conference on Pattern Recognition, ICPR 2020, Milan, Italy, January 2021.
J. Giraldo, T. Bouwmans, "Semi-Supervised Background Subtraction of Unseen Videos: Minimization of The Total Variation of Graph Signals", IEEE International Conference on Image Processing, ICIP 2020, Abu Dhabi, UAE, October 2020.
A.2 ) Anomaly Sound Detection (1 journal, 2 conferences)
Z. Mnasri, J. Giraldo, T. Bouwmans, "GOC-SVM: A Graph Signal Embedding with One-class SVM for Anomalous Sound Detection", Submitted to IEEE Transactions on Audio, Speech and Language Processing, 2025.
Z. Mnasri, J. Giraldo, T. Bouwmans, “Anomalous Sound Detection for Road Surveillance based on Graph Signal Processing”, European Conference on Signal Processing, EUSIPCO 2024, 2024.
Z. Mnasri, T. Bouwmans, “Anomalous Sound Detection based on Graph Neural Networks for Forest Preservation", Submitted to European Conference on Signal Processing, EUSIPCO 2025, 2025.
A.3) Signal Processing (1 journal, 1 conference)
J. Giraldo, A. Mahmood, B. Garcia-Garcia, D. Thanou, T. Bouwmans, "Reconstruction of Time-varying Graph Signals via Sobolev Smoothness", IEEE Transactions on Signal and Information Processing Over Networks, March 2022.
J. Castro-Correa, J. Giraldo, A. Mondal, M. Badiey, T. Bouwmans, F. Malliaros, "Time-Varying Signals Recovery Via Graph Neural Networks", IEEE International Conference on Acoustics, Speech and Signal Processing, Rhodes Island, Greece, June 2023.
B) Graph Neural Networks (2 journals, 3 conferences)
M. Kapoor, W. Prummel, J. Giraldo, B. Subudhi, A. Zakharova, T. Bouwmans, A. Bansal, “Graph-based Moving Object Segmentation for Underwater Videos using Semi-supervised Learning”, Computer Vision and Image Understanding, 2025.
J. Giraldo, A. Torovic, A. Einizade, J. Castro-Correa, M. Badiey, F. Malliaros, T. Bouwmans, "Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks", EEE Transactions on Signal and Information Processing Over Networks, 2024.
J. Giraldo, S. Javed, A. Mahmood, F. Malliaros, T. Bouwmans, "Higher-Order Sparse Convolutions In Graph Neural Networks", IEEE International Conference on Acoustics, Speech and Signal Processing, Rhodes Island, Greece, June 2023.
W. Prummel, J. Giraldo, A. Zakharova, T. Bouwmans, "Inductive Graph Neural Networks for Moving Object Segmentation", IEEE International Conference on Image Processing, ICIP 2023, Kuala Lumpur, Malaysia, October 2023.
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.
C) Graph Subspace Clustering (1 conference)
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.