Lucas Tabelini Torres

According to our database, Lucas Tabelini Torres authored at least 8 papers between 2018 and 2022.

Collaborative distances:

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

2022

Deep traffic sign detection and recognition without target domain real images.

Lucas Tabelini Torres, Rodrigo Ferreira Berriel, Thiago M. Paixão, Alberto F. De Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos

Mach. Vis. Appl., 2022

Lane Marking Detection and Classification using Spatial-Temporal Feature Pooling.

Lucas Tabelini Torres, Rodrigo Ferreira Berriel, Alberto F. De Souza, Claudine Badue, Thiago Oliveira-Santos

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Deep traffic light detection by overlaying synthetic context on arbitrary natural images.

Jean Pablo Vieira de Mello, Lucas Tabelini Torres, Rodrigo Ferreira Berriel, Thiago M. Paixão, Alberto F. De Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos

Comput. Graph., 2021

Keep Your Eyes on the Lane: Real-Time Attention-Guided Lane Detection.

Lucas Tabelini Torres, Rodrigo Ferreira Berriel, Thiago M. Paixão, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Keep your Eyes on the Lane: Attention-guided Lane Detection.

Lucas Tabelini Torres, Rodrigo Ferreira Berriel, Thiago M. Paixão, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos

CoRR, 2020

PolyLaneNet: Lane Estimation via Deep Polynomial Regression.

Lucas Tabelini Torres, Rodrigo Ferreira Berriel, Thiago M. Paixão, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images.

Lucas Tabelini Torres, Thiago M. Paixão, Rodrigo Ferreira Berriel, Alberto F. De Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Heading Direction Estimation Using Deep Learning with Automatic Large-scale Data Acquisition.

Rodrigo Ferreira Berriel, Lucas Tabelini Torres, Vinicius B. Cardoso, Ranik Guidolini, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018