Rodrigo Ferreira Berriel

Orcid: 0000-0002-6701-893X

According to our database1, Rodrigo Ferreira Berriel authored at least 34 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Budget-Aware Pruning: Handling Multiple Domains with Less Parameters.
CoRR, 2023

Budget-Aware Pruning for Multi-domain Learning.
Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

2022
A human-in-the-loop recommendation-based framework for reconstruction of mechanically shredded documents.
Pattern Recognit. Lett., 2022

Deep traffic sign detection and recognition without target domain real images.
Mach. Vis. Appl., 2022

Cross-domain object detection using unsupervised image translation.
Expert Syst. Appl., 2022

Parameter Sharing in Budget-Aware Adapters for Multi-Domain Learning.
CoRR, 2022

Temperature Prediction in Blast Furnaces: A Machine Learning Comparative Study.
Proceedings of the 35th SIBGRAPI Conference on Graphics, Patterns and Images, 2022

Lane Marking Detection and Classification using Spatial-Temporal Feature Pooling.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Copycat CNN: Are random non-Labeled data enough to steal knowledge from black-box models?
Pattern Recognit., 2021

Self-driving cars: A survey.
Expert Syst. Appl., 2021

Deep traffic light detection by overlaying synthetic context on arbitrary natural images.
Comput. Graph., 2021

Keep Your Eyes on the Lane: Real-Time Attention-Guided Lane Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Self-supervised deep reconstruction of mixed strip-shredded text documents.
Pattern Recognit., 2020

Keep your Eyes on the Lane: Attention-guided Lane Detection.
CoRR, 2020

Product Categorization by Title Using Deep Neural Networks as Feature Extractor.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

PolyLaneNet: Lane Estimation via Deep Polynomial Regression.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Deep Learning-based Type Identification of Volumetric MRI Sequences.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Fast(er) Reconstruction of Shredded Text Documents via Self-Supervised Deep Asymmetric Metric Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Self-Driving Cars: A Survey.
CoRR, 2019

Handling pedestrians in self-driving cars using image tracking and alternative path generation with Frenét frames.
Comput. Graph., 2019

Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images.
Proceedings of the International Joint Conference on Neural Networks, 2019

Traffic Light Recognition Using Deep Learning and Prior Maps for Autonomous Cars.
Proceedings of the International Joint Conference on Neural Networks, 2019

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night.
Proceedings of the International Joint Conference on Neural Networks, 2019

Budget-Aware Adapters for Multi-Domain Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
A Deep Learning-Based Compatibility Score for Reconstruction of Strip-Shredded Text Documents.
Proceedings of the 31st SIBGRAPI Conference on Graphics, Patterns and Images, 2018

Controlling First-Person Character Movement: A Low-Cost Camera-based Tracking Alternative for Virtual Reality.
Proceedings of the 17th Brazilian Symposium on Computer Games and Digital Entertainment, SBGames 2018, Foz do Iguaçu, Brazil, October 29, 2018

Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Heading Direction Estimation Using Deep Learning with Automatic Large-scale Data Acquisition.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Deep Learning-Based Large-Scale Automatic Satellite Crosswalk Classification.
IEEE Geosci. Remote. Sens. Lett., 2017

Ego-Lane Analysis System (ELAS): Dataset and algorithms.
Image Vis. Comput., 2017

Automatic large-scale data acquisition via crowdsourcing for crosswalk classification: A deep learning approach.
Comput. Graph., 2017

Cross-Database Facial Expression Recognition Based on Fine-Tuned Deep Convolutional Network.
Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017

Monthly energy consumption forecast: A deep learning approach.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2015
A Particle Filter-Based Lane Marker Tracking Approach Using a Cubic Spline Model.
Proceedings of the 28th SIBGRAPI Conference on Graphics, Patterns and Images, 2015


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