research
∙
05/16/2023
Inductive Graph Neural Networks for Moving Object Segmentation
Moving Object Segmentation (MOS) is a challenging problem in computer vi...
share
research
∙
02/22/2023
Time-varying Signals Recovery via Graph Neural Networks
The recovery of time-varying graph signals is a fundamental problem with...
research
∙
02/21/2023
Higher-order Sparse Convolutions in Graph Neural Networks
Graph Neural Networks (GNNs) have been applied to many problems in compu...
research
∙
12/05/2022
Understanding the Relationship between Over-smoothing and Over-squashing in Graph Neural Networks
Graph Neural Networks (GNNs) have been successfully applied in many appl...
research
∙
10/11/2022
Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation
Semantic segmentation is a fundamental topic in computer vision. Several...
research
∙
07/13/2022
Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos
Moving Object Detection (MOD) is a fundamental step for many computer vi...
research
∙
09/30/2021
Moving Object Detection for Event-based vision using Graph Spectral Clustering
Moving object detection has been a central topic of discussion in comput...
research
∙
01/17/2020
