A Deep Boltzmann Machine-Based Approach for Robust Image Denoising. - Rafael Goncalves Pires; Daniel F. S. Santos; Gustavo Botelho de Souza; Aparecido Nilceu Marana; Alexandre L. M. Levada; João Paulo Papa (CIARP, 2017)

Efficient Transfer Learning for Robust Face Spoofing Detection. - Gustavo Botelho de Souza; Daniel F. S. Santos; Rafael Goncalves Pires; Aparecido Nilceu Marana; João P. Papa (CIARP, 2017)

Deep Boltzmann machines for robust fingerprint spoofing attack detection. - Gustavo Botelho de Souza; Daniel F. S. Santos; Rafael Goncalves Pires; Aparecido Nilceu Marana; João Paulo Papa (IJCNN, 2017)

A Robust Restricted Boltzmann Machine for Binary Image Denoising. - Rafael Goncalves Pires; Daniel Felipe Silva Santos; Luís A. M. Pereira; Gustavo Botelho de Souza; Alexandre Luis Magalhaes Levada; João Paulo Papa (SIBGRAPI, 2017)

A 2D Deep Boltzmann Machine for Robust and Fast Vehicle Classification. - Daniel Felipe Silva Santos; Gustavo Botelho de Souza; Aparecido Nilceu Marana (SIBGRAPI, 2017)

Deep Texture Features for Robust Face Spoofing Detection. - Gustavo Botelho de Souza; Daniel Felipe Silva Santos; Rafael Goncalves Pires; Aparecido Nilceu Marana; João Paulo Papa (IEEE Trans. Circuits Syst. II Express Briefs, 2017)

Efficient Width-Extended Convolutional Neural Network for Robust Face Spoofing Detection. - Gustavo Botelho de Souza; Daniel Felipe Silva Santos; Rafael Goncalves Pires; João Paulo Papa; Aparecido Nilceu Marana (BRACIS, 2018)

A Sparse Filtering-Based Approach for Non-blind Deep Image Denoising. - Rafael Goncalves Pires; Daniel Felipe Silva Santos; Gustavo Botelho de Souza; Alexandre L. M. Levada; João Paulo Papa (ICANN (Workshop), 2019)

Video Segmentation Learning Using Cascade Residual Convolutional Neural Network. - Daniel F. S. Santos; Rafael Goncalves Pires; Danilo Colombo; João P. Papa (SIBGRAPI, 2019)

Deep Features Extraction for Robust Fingerprint Spoofing Attack Detection. - Gustavo Botelho de Souza; Daniel Felipe Silva Santos; Rafael Goncalves Pires; Aparecido Nilceu Marana; João Paulo Papa (J. Artif. Intell. Soft Comput. Res., 2019)

Image Denoising using Attention-Residual Convolutional Neural Networks. - Rafael Goncalves Pires; Daniel F. S. Santos; Cláudio F. G. Santos; Marcos C. S. Santana; João P. Papa (SIBGRAPI, 2020)

Scene Change Detection Using Multiscale Cascade Residual Convolutional Neural Networks. - Daniel F. S. Santos; Rafael Goncalves Pires; Danilo Colombo; João P. Papa (SIBGRAPI, 2020)

Deep Regressor Networks for Blind Image Deblurring. - Rafael Goncalves Pires; Daniel F. S. Santos; Leandro A. Passos; João P. Papa (IGARSS, 2021)

DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification. - Daniel F. S. Santos; Rafael Goncalves Pires; Leandro A. Passos; João P. Papa (IGARSS, 2021)

Deblur Capsule Networks. - Daniel Felipe Silva Santos; Rafael Goncalves Pires; João P. Papa (CIARP, 2023)

Gait Recognition Based on Deep Learning: A Survey. - Claudio Filipi Gonçalves dos Santos; Diego de Souza Oliveira; Leandro A. Passos; Rafael Gonçalves Pires; Daniel Felipe Silva Santos; Lucas Pascotti Valem; Thierry Pinheiro Moreira; Marcos Cleison S. Santana; Mateus Roder; João Paulo Papa; Danilo Colombo (ACM Comput. Surv., 2023)

TITAN: A LighTweIght Temporal Attention Network for Remote Sensing Image Change Detection. - Daniel F. S. Santos; João P. Papa (IEEE Geosci. Remote. Sens. Lett., 2023)

A Convolutional Recurrent Mixer Network For Radar Meteorological Image Super-Resolution. - Rafael Gonçalves Pires; Daniel F. S. Santos; Roberto V. Calheiros; João Paulo Papa; Ik Hyun Lee; Sambit Bakshi; Khan Muhammad 001 (ICASSP, 2025)