Preprint

2023 (2)

J. Castro-Correa, J. Giraldo, A. Mondal, M. Badiey, T. Bouwmans, F. Malliaros, "Time-Varying Signals Recovery Via Graph Neural Networks", Preprint, arXiv:2302.11313, February 2023. [Accepted ICASSP 2023]

J. Giraldo, S. Javed, A. Mahmood, F. Malliaros, T. Bouwmans, "Higher-Order Sparse Convolutions In Graph Neural Networks", Preprint, arXiv:2302.10505, February 2023. [Accepted ICASSP 2023]

2022 (3)

J. Giraldo, F. Malliaros, T. Bouwmans,"Understanding the Relationship between Over-smoothing and Over-squashing in Graph Neural Networks", Preprint, arXiv:2212.02374, December 2022.

J. Giraldo, V. Scarrica, A. Staiano, F. Camastra, T. Bouwmans, “Hypergraph Convolutional Networks For Weakly-Supervised Semantic Segmentation”, Preprint, arXiv:2210.05564, October 2022.  [Accepted ICIP 2022]

J. Giraldo, S. Javed, N. Werghi, T. Bouwmans, "Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos", Preprint, arXiv:2207.06440, July 2022. [Accepted ICCV 2021]

2021 (2)

A. Mondal, R. Shashant, J. Giraldo, T. Bouwmans, A. Chowdhury, "Moving Object Detection for Event-based Vision using Graph Spectral Clustering", Preprint, arXiv:2109.14979, September 2021. [Accepted ICCV 2021]

C. Silva, J. Souza, A. Vacavant, T. Bouwmans, A. Sobral "Automated Mathematical Equation Structure Discovery for Visual Analysis", Preprint, arXiv:2104.08633, April 2021.

2020 (2)

J. Giraldo, T. Bouwmans, "GraphBGS: Background Subtraction via Recovery of Graph Signals", Preprint, arXiv:2001.06404, January 2020. [Accepted ICPR 2020]

M. Chapel, T. Bouwmans, "Moving Objects Detection with a Moving Camera: A Comprehensive Review", Preprint, arXiv:2001.05238, January 2020. [Accepted Computer Science Review]

2019 (1)

B. Garcia-Garcia, T. Bouwmans, A. Rosales-Silva, "Background Subtraction in Real Applications: Challenges, Current Models and Future Directions", Preprint, arXiv:1901.03577, January 2019.  [Accepted Computer Science Review]

2018 (1)

T. Bouwmans, S. Javed, M. Sultana, S. Jung, “Deep Neural Network Concepts in Background Subtraction: A Systematic Review and A Comparative Evaluation”, Preprint, arXiv:1811.05255, 2018. [Accepted Neural Networks]

2017 (1)

N. Vaswani, T. Bouwmans, S. Javed, P. Narayanamurthy, “Robust Subspace Learning: Robust PCA, Robust Subspace Tracking and Robust Subspace Recovery”, Preprint, arXiv:1711.09492, 2017[Accepted IEEE Signal Processing Magazine] 

2016 (1)

T. Bouwmans, C. Silva, C. Marghes, M. Zitouni, H. Bhaskar, C. Frelicot, “On the Role and the Importance of Features for Background Modeling and Foreground Detection”, Preprint, arXiv:1611.09099,  2016. [Accepted Computer Science Review]

2015 (1)

T. Bouwmans, A. Sobral, S. Javed, S. Jung, E. Zahzah, "Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset", Preprint, arXiv:1511.01245, 2015. [Accepted Computer Science Review].