20 citations · 22 across the 4 of their papers we have counts for
7 papers
Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation
Jhony H. Giraldo, Vincenzo Scarrica, Antonino Staiano +2
Semantic segmentation is a fundamental topic in computer vision. Several deep learning methods have been proposed for semantic segmentation with outstanding results. However, these…
Automated Mathematical Equation Structure Discovery for Visual Analysis
Caroline Pacheco do Espírito Silva, José A. M. Felippe De Souza, Antoine Vacavant +2
Finding the best mathematical equation to deal with the different challenges found in complex scenarios requires a thorough understanding of the scenario and a trial and error proc…
On the Minimization of Sobolev Norms of Time-Varying Graph Signals: Estimation of New Coronavirus Disease 2019 Cases
Jhony H. Giraldo, Thierry Bouwmans
The mathematical modeling of infectious diseases is a fundamental research field for the planning of strategies to contain outbreaks. The models associated with this field of study…
Moving Objects Detection with a Moving Camera: A Comprehensive Review
Marie-Neige Chapel, Thierry Bouwmans
During about 30 years, a lot of research teams have worked on the big challenge of detection of moving objects in various challenging environments. First applications concern stati…
GraphBGS: Background Subtraction via Recovery of Graph Signals
Jhony H. Giraldo, Thierry Bouwmans
Background subtraction is a fundamental pre-processing task in computer vision. This task becomes challenging in real scenarios due to variations in the background for both static…
Background Subtraction in Real Applications: Challenges, Current Models and Future Directions
T. Bouwmans, B. Garcia-Garcia
Computer vision applications based on videos often require the detection of moving objects in their first step. Background subtraction is then applied in order to separate the back…