A Particle Filter-Based Lane Marker Tracking Approach Using a Cubic Spline Model. - Rodrigo Ferreira Berriel; Edilson de Aguiar; Vanderlei Vieira de Souza Filho; Thiago Oliveira-Santos (SIBGRAPI, 2015)

Monthly energy consumption forecast: A deep learning approach. - Rodrigo Ferreira Berriel; Andre Teixeira Lopes; Alexandre Rodrigues 001; Flávio Miguel Varejão; Thiago Oliveira-Santos (IJCNN, 2017)

Cross-Database Facial Expression Recognition Based on Fine-Tuned Deep Convolutional Network. - Marcus Vinicius Zavarez; Rodrigo Ferreira Berriel; Thiago Oliveira-Santos (SIBGRAPI, 2017)

Automatic large-scale data acquisition via crowdsourcing for crosswalk classification: A deep learning approach. - Rodrigo Ferreira Berriel; Franco Schmidt Rossi; Alberto Ferreira de Souza; Thiago Oliveira-Santos (Comput. Graph., 2017)

Ego-Lane Analysis System (ELAS): Dataset and algorithms. - Rodrigo Ferreira Berriel; Edilson de Aguiar; Alberto Ferreira de Souza; Thiago Oliveira-Santos (Image Vis. Comput., 2017)

Deep Learning-Based Large-Scale Automatic Satellite Crosswalk Classification. - Rodrigo Ferreira Berriel; Andre Teixeira Lopes; Alberto F. De Souza; Thiago Oliveira-Santos (IEEE Geosci. Remote. Sens. Lett., 2017)

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 (IJCNN, 2018)

Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data. - Jacson Rodrigues Correia da Silva; Rodrigo Ferreira Berriel; Claudine Badue; Alberto Ferreira de Souza; Thiago Oliveira-Santos (IJCNN, 2018)

Controlling First-Person Character Movement: A Low-Cost Camera-based Tracking Alternative for Virtual Reality. - Rodrigo Ferreira Berriel; Thiago Meireles Paixão; Ivo Nicchio; Thiago Oliveira-Santos (SBGames, 2018)

A Deep Learning-Based Compatibility Score for Reconstruction of Strip-Shredded Text Documents. - Thiago M. Paixão; Rodrigo Ferreira Berriel; Maria C. S. Boeres; Claudine Badue; Alberto F. De Souza; Thiago Oliveira-Santos (SIBGRAPI, 2018)

Budget-Aware Adapters for Multi-Domain Learning. - Rodrigo Ferreira Berriel; Stéphane Lathuilière; Moin Nabi; Tassilo Klein; Thiago Oliveira-Santos; Nicu Sebe; Elisa Ricci 001 (ICCV, 2019)

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night. - Vinicius F. Arruda; Thiago M. Paixão; Rodrigo Ferreira Berriel; Alberto F. De Souza; Claudine Badue; Nicu Sebe; Thiago Oliveira-Santos (IJCNN, 2019)

Traffic Light Recognition Using Deep Learning and Prior Maps for Autonomous Cars. - Lucas C. Possatti; Ranik Guidolini; Vinicius B. Cardoso; Rodrigo Ferreira Berriel; Thiago M. Paixão; Claudine Badue; Alberto F. De Souza; Thiago Oliveira-Santos (IJCNN, 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 (IJCNN, 2019)

Handling pedestrians in self-driving cars using image tracking and alternative path generation with Frenét frames. - Renan Sarcinelli; Rânik Guidolini; Vinicius B. Cardoso; Thiago M. Paixão; Rodrigo Ferreira Berriel; Pedro Azevedo; Alberto F. De Souza; Claudine Badue; Thiago Oliveira-Santos (Comput. Graph., 2019)

Self-Driving Cars: A Survey. - Claudine Badue; Ranik Guidolini; Raphael Vivacqua Carneiro; Pedro Azevedo; Vinicius Brito Cardoso; Avelino Forechi; Luan Ferreira Reis Jesus; Rodrigo Ferreira Berriel; Thiago Meireles Paixão; Filipe Wall Mutz; Thiago Oliveira-Santos; Alberto Ferreira de Souza (CoRR, 2019)

Fast(er) Reconstruction of Shredded Text Documents via Self-Supervised Deep Asymmetric Metric Learning. - Thiago M. Paixão; Rodrigo Ferreira Berriel; Maria C. S. Boeres; Alessandro L. Koerich; Claudine Badue; Alberto F. De Souza; Thiago Oliveira-Santos (CVPR, 2020)

Deep Learning-based Type Identification of Volumetric MRI Sequences. - Jean Pablo Vieira de Mello; Thiago M. Paixão; Rodrigo Ferreira Berriel; Mauricio Reyes 001; Claudine Badue; Alberto F. De Souza; Thiago Oliveira-Santos (ICPR, 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 (ICPR, 2020)

Product Categorization by Title Using Deep Neural Networks as Feature Extractor. - Leonardo S. Paulucio; Thiago M. Paixão; Rodrigo Ferreira Berriel; Alberto F. De Souza; Claudine Badue; Thiago Oliveira-Santos (IJCNN, 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)

Self-supervised deep reconstruction of mixed strip-shredded text documents. - Thiago M. Paixão; Rodrigo Ferreira Berriel; Maria C. S. Boeres; Alessandro L. Koerich; Claudine Badue; Alberto F. De Souza; Thiago Oliveira-Santos (Pattern Recognit., 2020)

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 (CVPR, 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)

Self-driving cars: A survey. - Claudine Badue; Rânik Guidolini; Raphael Vivacqua Carneiro; Pedro Azevedo; Vinicius B. Cardoso; Avelino Forechi; Luan F. R. Jesus; Rodrigo Ferreira Berriel; Thiago M. Paixão; Filipe Wall Mutz; Lucas de Paula Veronese; Thiago Oliveira-Santos; et al. (Expert Syst. Appl., 2021)

Copycat CNN: Are random non-Labeled data enough to steal knowledge from black-box models? - Jacson Rodrigues Correia da Silva; Rodrigo Ferreira Berriel; Claudine Badue; Alberto F. De Souza; Thiago Oliveira-Santos (Pattern Recognit., 2021)

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 (IJCNN, 2022)

Temperature Prediction in Blast Furnaces: A Machine Learning Comparative Study. - Letícia C. Navarro; Lucas L. Amorim; Rodrigo Ferreira Berriel; Thiago M. Paixão; Vinicius Rampinelli; Luiz A. Wasem; Lucas Quaresma; Claudine Badue; Alberto F. De Souza; Thiago Oliveira-Santos (SIBGRAPI, 2022)

Parameter Sharing in Budget-Aware Adapters for Multi-Domain Learning. - Samuel Felipe dos Santos; Rodrigo Ferreira Berriel; Thiago Oliveira-Santos; Nicu Sebe; Jurandy Almeida (CoRR, 2022)

Cross-domain object detection using unsupervised image translation. - Vinicius F. Arruda; Rodrigo Ferreira Berriel; Thiago M. Paixão; Claudine Badue; Alberto F. De Souza; Nicu Sebe; Thiago Oliveira-Santos (Expert Syst. Appl., 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)

A human-in-the-loop recommendation-based framework for reconstruction of mechanically shredded documents. - Thiago M. Paixão; Rodrigo Ferreira Berriel; Maria C. S. Boeres; Alessandro L. Koerich; Claudine Badue; Alberto F. De Souza; Thiago Oliveira-Santos (Pattern Recognit. Lett., 2022)

Budget-Aware Pruning for Multi-domain Learning. - Samuel Felipe dos Santos; Rodrigo Ferreira Berriel; Thiago Oliveira-Santos; Nicu Sebe; Jurandy Almeida (ICIAP (2), 2023)

Budget-aware pruning: Handling multiple domains with less parameters. - Samuel Felipe dos Santos; Rodrigo Ferreira Berriel; Thiago Oliveira-Santos; Nicu Sebe; Jurandy Almeida (Pattern Recognit., 2025)