Self-driving cars: A survey C Badue, R Guidolini, RV Carneiro, P Azevedo, VB Cardoso, A Forechi, ... Expert Systems With Applications, 2019 | 145 | 2019 |
Monthly energy consumption forecast: A deep learning approach RF Berriel, AT Lopes, A Rodrigues, FM Varejao, T Oliveira-Santos IJCNN, 2017 | 51 | 2017 |
Cross-database facial expression recognition based on fine-tuned deep convolutional network MV Zavarez, RF Berriel, T Oliveira-Santos SIBGRAPI, 2017 | 37 | 2017 |
Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data JR Correia-Silva, RF Berriel, C Badue, AF de Souza, T Oliveira-Santos IJCNN, 2018 | 33 | 2018 |
Automatic large-scale data acquisition via crowdsourcing for crosswalk classification: A deep learning approach RF Berriel, FS Rossi, AF de Souza, T Oliveira-Santos Computers & Graphics 68, 32-42, 2017 | 28 | 2017 |
Ego-Lane Analysis System (ELAS): Dataset and Algorithms RF Berriel, E de Aguiar, AF De Souza, T Oliveira-Santos Image and Vision Computing 68, 64-75, 2017 | 25 | 2017 |
Deep learning-based large-scale automatic satellite crosswalk classification RF Berriel, AT Lopes, AF De Souza, T Oliveira-Santos IEEE Geoscience and Remote Sensing Letters 14 (9), 1513-1517, 2017 | 25 | 2017 |
A particle filter-based lane marker tracking approach using a cubic spline model RF Berriel, E de Aguiar, VV de Souza Filho, T Oliveira-Santos SIBGRAPI, 2015 | 14 | 2015 |
Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night VF Arruda, TM Paixão, RF Berriel, AF De Souza, C Badue, N Sebe, ... IJCNN, 2019 | 13 | 2019 |
Traffic Light Recognition Using Deep Learning and Prior Maps for Autonomous Cars LC Possatti, R Guidolini, VB Cardoso, RF Berriel, TM Paixão, C Badue, ... IJCNN, 2019 | 13 | 2019 |
Handling pedestrians in self-driving cars using image tracking and alternative path generation with Frenét frames R Sarcinelli, R Guidolini, VB Cardoso, TM Paixão, RF Berriel, P Azevedo, ... Computers & Graphics 84, 173-184, 2019 | 11 | 2019 |
Budget-Aware Adapters for Multi-Domain Learning R Berriel, S Lathuilière, M Nabi, T Klein, T Oliveira-Santos, N Sebe, ... ICCV, 2019 | 8 | 2019 |
Heading Direction Estimation Using Deep Learning with Automatic Large-scale Data Acquisition RF Berriel, LT Torres, VB Cardoso, R Guidolini, C Badue, AF De Souza, ... IJCNN, 2018 | 8 | 2018 |
Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images LT Torres, TM Paixão, RF Berriel, AF De Souza, C Badue, N Sebe, ... IJCNN, 2019 | 7 | 2019 |
A deep learning-based compatibility score for reconstruction of strip-shredded text documents TM Paixao, RF Berriel, MCS Boeres, C Badue, AF De Souza, ... SIBGRAPI, 2018 | 4 | 2018 |
PolyLaneNet: Lane Estimation via Deep Polynomial Regression L Tabelini, R Berriel, TM Paixão, C Badue, AF De Souza, ... ICPR, 2020 | 3 | 2020 |
Fast(er) Reconstruction of Shredded Text Documents via Self-Supervised Deep Asymmetric Metric Learning TM Paixão, R Berriel, MCS Boeres, AL Koerich, C Badue, AF De Souza, ... CVPR, 2020 | 2 | 2020 |
Vision-based Ego-lane Analysis System: Dataset and Algorithms RF Berriel Masters Thesis, 2016 | 1* | 2016 |
Deep traffic light detection by overlaying synthetic context on arbitrary natural images JPV de Mello, L Tabelini, RF Berriel, TM Paixão, AF de Souza, C Badue, ... Computers & Graphics 94, 76-86, 2020 | | 2020 |
Keep your Eyes on the Lane: Attention-guided Lane Detection L Tabelini, R Berriel, TM Paixão, C Badue, AF De Souza, ... arXiv preprint arXiv:2010.12035, 2020 | | 2020 |