About

Hi, I'm Rodrigo Berriel. I am currently a Postdoc at the Institute of Applied Computational Intelligence (I2CA) mostly working with time-series forecasting and regression problems. I received my PhD degree in 2021 at the Federal University of Espírito Santo (UFES), Brazil, under the supervision of Prof. Thiago Oliveira-Santos. I have finished my masters in 2016 in the same institution during which I had the opportunity to work on the IARA project, the autonomous car of our lab, LCAD. Overall, I have been working with deep learning and computer vision for a while, and I have been especially interested in the following learning settings: few-shot, continual, and lifelong.

E-mail: berriel [at] lcad.inf.ufes.br

Publications

Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection
Lucas Tabelini Torres, Rodrigo Berriel, Thiago M., Claudine B., A. F. De Souza, T. Oliveira-Santos
Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection
Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Self-supervised Deep Reconstruction of Mixed Strip-shredded Text Documents
Thiago M. Paixão, Rodrigo Berriel, Boeres, Alessandro L. K., Claudine B., A. F. De Souza, T. Oliveira-Santos
Self-supervised Deep Reconstruction of Mixed Strip-shredded Text Documents
Pattern Recognition, 2020
Fast(er) Reconstruction of Shredded Text Documents via Self-Supervised Deep Asymmetric Metric Learning
Thiago M. Paixão, Rodrigo Berriel, Boeres, Alessandro L. K., Claudine B., A. F. De Souza, T. Oliveira-Santos
Fast(er) Reconstruction of Shredded Text Documents via Self-Supervised Deep Asymmetric Metric Learning
Conference on Computer Vision and Pattern Recognition (CVPR), 2020
PolyLaneNet: Lane Estimation via Deep Polynomial Regression
Lucas Tabelini Torres, Rodrigo Berriel, Thiago M., Claudine B., A. F. De Souza, T. Oliveira-Santos
PolyLaneNet: Lane Estimation via Deep Polynomial Regression
International Conference on Pattern Recognition (ICPR), 2020
Self-Driving Cars: A Survey
Claudine Badue, Rânik, Raphael, Pedro A., Vinicius B., Avelino, Luan, Rodrigo Berriel, Thiago M., Filipe, Veronese, T. Oliveira-Santos, A. F. De Souza
Self-Driving Cars: A Survey
Expert Systems with Applications, 2019
Budget-Aware Adapters for Multi-Domain Learning
Rodrigo Berriel, Stéphane Lathuilière, Moin Nabi, Tassilo Klein, T. Oliveira-Santos, Nicu Sebe, Elisa Ricci
Budget-Aware Adapters for Multi-Domain Learning
International Conference on Computer Vision (ICCV), 2019
Handling pedestrians in self-driving cars using image tracking and alternative path generation with Frenét frames
Renan Sarcinelli, Rânik, Vinicius B., Thiago M., Rodrigo Berriel, Pedro A., A. F. De Souza, Claudine B., T. Oliveira-Santos
Handling pedestrians in self-driving cars using image tracking and alternative path generation with Frenét frames
Computer & Graphics, 2019
Traffic Light Recognition Using Deep Learning and Prior Maps for Autonomous Cars
Lucas C. Possatti, Rânik, Vinicius B., Rodrigo Berriel, Thiago M., Claudine B., A. F. De Souza, T. Oliveira-Santos
Traffic Light Recognition Using Deep Learning and Prior Maps for Autonomous Cars
International Joint Conference on Neural Networks (IJCNN), 2019
Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night
Vinicius F. Arruda, Thiago M., Rodrigo Berriel, A. F. De Souza, Claudine B., Nicu Sebe, T. Oliveira-Santos
Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night
International Joint Conference on Neural Networks (IJCNN), 2019
Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images
Lucas Tabelini Torres, Thiago M., Rodrigo Berriel, A. F. De Souza, Claudine B., Nicu Sebe, T. Oliveira-Santos
Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images
International Joint Conference on Neural Networks (IJCNN), 2019
A Deep Learning-Based Compatibility Score for Reconstruction of Strip-Shredded Text Documents
Thiago M. Paixão, Rodrigo Berriel, Boeres, Claudine B., A. F. De Souza, T. Oliveira-Santos
A Deep Learning-Based Compatibility Score for Reconstruction of Strip-Shredded Text Documents
SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2018
Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data
Jacson Rodrigues Correia-Silva, Rodrigo Berriel, Claudine B., A. F. De Souza, T. Oliveira-Santos
Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data
International Joint Conference on Neural Networks (IJCNN), 2018
Heading Direction Estimation Using Deep Learning with Automatic Large-scale Data Acquisition
Rodrigo Berriel, Lucas T. T., Vinicius B., Rânik, Claudine B., A. F. De Souza, T. Oliveira-Santos
Heading Direction Estimation Using Deep Learning with Automatic Large-scale Data Acquisition
International Joint Conference on Neural Networks (IJCNN), 2018
Ego-Lane Analysis System (ELAS): Dataset and Algorithms
Rodrigo Berriel, Edilson de Aguiar, A. F. De Souza, T. Oliveira-Santos
Ego-Lane Analysis System (ELAS): Dataset and Algorithms
Image and Vision Computing, 2017
Automatic Large-Scale Data Acquisition via Crowdsourcing for Crosswalk Classification: A Deep Learning Approach
Rodrigo Berriel, Franco S. R., A. F. De Souza, T. Oliveira-Santos
Automatic Large-Scale Data Acquisition via Crowdsourcing for Crosswalk Classification: A Deep Learning Approach
Computer & Graphics, 2017
Cross-Database Facial Expression Recognition Based on Fine-Tuned Deep Convolutional Network
Marcus Vinicius Zavarez, Rodrigo Berriel, T. Oliveira-Santos
Cross-Database Facial Expression Recognition Based on Fine-Tuned Deep Convolutional Network
SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2017
Deep Learning-Based Large-Scale Automatic Satellite Crosswalk Classification
Rodrigo Berriel, André T. L., A. F. De Souza, T. Oliveira-Santos
Deep Learning-Based Large-Scale Automatic Satellite Crosswalk Classification
IEEE Geoscience and Remote Sensing Letters, 2017
Monthly Energy Consumption Forecast: A Deep Learning Approach
Rodrigo Berriel, André T. L., Alexandre R., Flávio M. V., T. Oliveira-Santos
Monthly Energy Consumption Forecast: A Deep Learning Approach
International Joint Conference on Neural Networks (IJCNN), 2017
A Particle Filter-Based Lane Marker Tracking Approach Using a Cubic Spline Model
Rodrigo Berriel, Edilson de Aguiar, Vanderlei, T. Oliveira-Santos
A Particle Filter-Based Lane Marker Tracking Approach Using a Cubic Spline Model
SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2015

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