Leonardo Tadeu Lopes

According to our database, Leonardo Tadeu Lopes authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Self-Supervised Image Re-Ranking based on Hypergraphs and Graph Convolutional Networks.

Leonardo Tadeu Lopes, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette

Proceedings of the 37th SIBGRAPI Conference on Graphics, Patterns and Images, 2024

2023

ISP meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processing.

Matheus Henrique Marques da Silva, Jhessica Victoria Santos da Silva, Rodrigo Reis Arrais, Wladimir Barroso Guedes de Araújo Neto, Leonardo Tadeu Lopes, Guilherme Augusto Bileki, Iago Oliveira Lima, Lucas Borges Rondon, Bruno Melo de Souza, Mayara Costa Regazio, Rodolfo Coelho Dalapicola, Claudio Filipi Gonçalves dos Santos

CoRR, 2023

Self-Supervised Clustering based on Manifold Learning and Graph Convolutional Networks.

Leonardo Tadeu Lopes, Daniel Carlos Guimarães Pedronette

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

pyUDLF: A Python Framework for Unsupervised Distance Learning Tasks.

Gustavo Leticio, Lucas Pascotti Valem, Leonardo Tadeu Lopes, Daniel Carlos Guimarães Pedronette

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2021

A rank-based framework through manifold learning for improved clustering tasks.

Bionda Rozin, Vanessa Helena Pereira-Ferrero, Leonardo Tadeu Lopes, Daniel Carlos Guimarães Pedronette

Inf. Sci., 2021

2020

Manifold Learning-based Clustering Approach Applied to Anomaly Detection in Surveillance Videos.

Leonardo Tadeu Lopes, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ivan Rizzo Guilherme, João Paulo Papa, Marcos Cleison Silva Santana, Danilo Colombo

Proceedings of the 15th International Joint Conference on Computer Vision, 2020