Search Results for author: Thiago M. Paixão

Found 10 papers, 9 papers with code

Deep Learning-based Type Identification of Volumetric MRI Sequences

1 code implementation6 Jun 2021 Jean Pablo Vieira de Mello, Thiago M. Paixão, Rodrigo Berriel, Mauricio Reyes, Claudine Badue, Alberto F. de Souza, Thiago Oliveira-Santos

The analysis of Magnetic Resonance Imaging (MRI) sequences enables clinical professionals to monitor the progression of a brain tumor.

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

1 code implementation7 Nov 2020 Jean Pablo Vieira de Mello, Lucas Tabelini, Rodrigo F. Berriel, Thiago M. Paixão, Alberto F. de Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos

By providing real image samples with traffic context to the network, the model learns to detect and classify elements of interest, such as pedestrians, traffic signs, and traffic lights.

Autonomous Driving

Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection

2 code implementations CVPR 2021 Lucas Tabelini, Rodrigo Berriel, Thiago M. Paixão, Claudine Badue, Alberto F. de Souza, Thiago Oliveira-Santos

Modern lane detection methods have achieved remarkable performances in complex real-world scenarios, but many have issues maintaining real-time efficiency, which is important for autonomous vehicles.

Lane Detection

Self-supervised Deep Reconstruction of Mixed Strip-shredded Text Documents

1 code implementation1 Jul 2020 Thiago M. Paixão, Rodrigo F. Berriel, Maria C. S. Boeres, Alessandro L. Koerich, Claudine Badue, Alberto F. de Souza, Thiago Oliveira-Santos

The solution presented in this work extends our previous deep learning method for single-page reconstruction to a more realistic/complex scenario: the reconstruction of several mixed shredded documents at once.

Fast(er) Reconstruction of Shredded Text Documents via Self-Supervised Deep Asymmetric Metric Learning

1 code implementation23 Mar 2020 Thiago M. Paixão, Rodrigo F. Berriel, Maria C. S. Boeres, Alessando L. Koerich, Claudine Badue, Alberto F. de Souza, Thiago Oliveira-Santos

The reconstruction of shredded documents consists in arranging the pieces of paper (shreds) in order to reassemble the original aspect of such documents.

Metric Learning

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

1 code implementation19 Jul 2019 Vinicius F. Arruda, Thiago M. Paixão, Rodrigo F. Berriel, Alberto F. De Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos

In this work, a method for training a car detection system with annotated data from a source domain (day images) without requiring the image annotations of the target domain (night images) is presented.

Autonomous Vehicles object-detection +3

Traffic Light Recognition Using Deep Learning and Prior Maps for Autonomous Cars

1 code implementation4 Jun 2019 Lucas C. Possatti, Rânik Guidolini, Vinicius B. Cardoso, Rodrigo F. Berriel, Thiago M. Paixão, Claudine Badue, Alberto F. de Souza, Thiago Oliveira-Santos

However, none of them combine the power of the deep learning-based detectors with prior maps to recognize the state of the relevant traffic lights.

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