Graphs in Computer Vision then and now: how Deep Learning has reinvigorated Structural Pattern Recognition

Author:

Conte Donatello1

Affiliation:

1. Computer Science Laboratory (LIFAT - EA 6300), Université de Tours, France

Publisher

ACM

Reference6 articles.

1. A graph-based, multi-resolution algorithm for tracking objects in presence of occlusions

2. Bags of Graphs for Human Action Recognition

3. A structural approach to Person Re-identification problem

4. Akshay Rangesh , Pranav Maheshwari , Mez Gebre , Siddhesh Mhatre , Vahid Ramezani , and Mohan  M Trivedi . 2021 . Trackmpnn: A message passing graph neural architecture for multi-object tracking. arXiv preprint arXiv:2101.04206(2021). Akshay Rangesh, Pranav Maheshwari, Mez Gebre, Siddhesh Mhatre, Vahid Ramezani, and Mohan M Trivedi. 2021. Trackmpnn: A message passing graph neural architecture for multi-object tracking. arXiv preprint arXiv:2101.04206(2021).

5. A Comprehensive Survey on Graph Neural Networks

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