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 (VISIGRAPP (5: VISAPP), 2020)

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)

pyUDLF: A Python Framework for Unsupervised Distance Learning Tasks. - Gustavo Leticio; Lucas Pascotti Valem; Leonardo Tadeu Lopes; Daniel Carlos Guimarães Pedronette (ACM Multimedia, 2023)

Self-Supervised Clustering based on Manifold Learning and Graph Convolutional Networks. - Leonardo Tadeu Lopes; Daniel Carlos Guimarães Pedronette (WACV, 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 Image Re-Ranking based on Hypergraphs and Graph Convolutional Networks. - Leonardo Tadeu Lopes; Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette (SIBGRAPI, 2024)

ISP Meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processing. - Claudio Filipi Goncalves dos Santos; Rodrigo Reis Arrais; Jhessica Victoria Santos da Silva; Matheus Henrique Marques da Silva; 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; et al. (ACM Comput. Surv., 2025)