Speeding-up the Handwritten Signature Segmentation Process through an Optimized Fully Convolutional Neural Network. - Paloma G. S. Silva; Celso A. M. Lopes Junior; Estanislau Lima; Byron L. D. Bezerra; Cleber Zanchettin (ICDAR, 2019)

FCN+RL: A Fully Convolutional Network followed by Refinement Layers to Offline Handwritten Signature Segmentation. - Celso A. M. Lopes Junior; Matheus Henrique M. da Silva; Byron Leite Dantas Bezerra; Bruno José Torres Fernandes; Donato Impedovo (IJCNN, 2020)

ICDAR 2021 Competition on Components Segmentation Task of Document Photos. - Celso A. M. Lopes Junior; Ricardo Batista das Neves Junior; Byron L. D. Bezerra; Alejandro H. Toselli; Donato Impedovo (ICDAR (4), 2021)

A Handwritten Signature Segmentation Approach for Multi-resolution and Complex Documents Acquired by Multiple Sources. - Celso A. M. Lopes Junior; Murilo C. Stodolni; Byron L. D. Bezerra; Donato Impedovo (ICDAR (3), 2021)

Interpretability of an Automatic Handwritten Signature Verification Model. - Vinícus Oliveira Barros; Celso A. M. Lopes Junior; Byron Leite Dantas Bezerra (LA-CCI, 2023)

Evaluating Transformer-based Models in the Information Extraction of Fiscal Documents. - João Macedo; Byron L. D. Bezerra; Estanislau Lima; Alysson Soares; Celso A. M. Lopes Junior; Cleber Zanchettin (LA-CCI, 2023)