356 citations · 871 across the 17 of their papers we have counts for
4 papers · 1 filter
On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks
Jhony H. Giraldo, Konstantinos Skianis, Thierry Bouwmans +1
Graph Neural Networks (GNNs) have succeeded in various computer science applications, yet deep GNNs underperform their shallow counterparts despite deep learning's success in other…
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…
Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos
Jhony H. Giraldo, Sajid Javed, Naoufel Werghi +1
Moving Object Detection (MOD) is a fundamental step for many computer vision applications. MOD becomes very challenging when a video sequence captured from a static or moving camer…
Reconstruction of Time-varying Graph Signals via Sobolev Smoothness
Jhony H. Giraldo, Arif Mahmood, Belmar Garcia-Garcia +2
Graph Signal Processing (GSP) is an emerging research field that extends the concepts of digital signal processing to graphs. GSP has numerous applications in different areas such…