Rodrigo Andrade de Bem

According to our database, Rodrigo Andrade de Bem authored at least 17 papers between 2003 and 2025.

Collaborative distances:

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

2025

UDBE: Unsupervised Diffusion-based Brightness Enhancement in Underwater Images.

Tatiana Taís Schein, Gustavo Pereira de Almeira, Stephanie Loi Brião, Rodrigo Andrade de Bem, Felipe G. Oliveira, Paulo L. J. Drews-Jr

CoRR, January, 2025

2023

Soybean Weeds Segmentation Using VT-Net: A Convolutional-Transformer Model.

Lucas Silva, Paulo Drews Jr., Rodrigo Andrade de Bem

Proceedings of the 36th SIBGRAPI Conference on Graphics, Patterns and Images, 2023

2021

Fast Spatial-Temporal Transformer Network.

Rafael Molossi Escher, Rodrigo Andrade de Bem, Paulo Lilles Jorge Drews Junior

Proceedings of the 34th SIBGRAPI Conference on Graphics, Patterns and Images, 2021

A spatio-temporal exposure correction neural network for autonomous vehicle.

Albano Borba, Johann Pires, Rafael Molossi Escher, Rodrigo Andrade de Bem, Paulo Drews Jr.

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

2020

DGPose: Deep Generative Models for Human Body Analysis.

Rodrigo Andrade de Bem, Arnab Ghosh, Thalaiyasingam Ajanthan, Ondrej Miksik, Adnane Boukhayma, N. Siddharth, Philip H. S. Torr

Int. J. Comput. Vis., 2020

2019

A Conditional Deep Generative Model of People in Natural Images.

Rodrigo Andrade de Bem, Arnab Ghosh, Adnane Boukhayma, Thalaiyasingam Ajanthan, N. Siddharth, Philip H. S. Torr

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

3D Hand Shape and Pose From Images in the Wild.

Adnane Boukhayma, Rodrigo Andrade de Bem, Philip H. S. Torr

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Looking deep at people: towards understanding and generating humans in images with deep learning.

Rodrigo Andrade de Bem

PhD thesis, 2018

DGPose: Disentangled Semi-supervised Deep Generative Models for Human Body Analysis.

Rodrigo Andrade de Bem, Arnab Ghosh, Thalaiyasingam Ajanthan, Ondrej Miksik, N. Siddharth, Philip H. S. Torr

CoRR, 2018

Critical Percolation as a Framework to Analyze the Training of Deep Networks.

Zohar Ringel, Rodrigo Andrade de Bem

Proceedings of the 6th International Conference on Learning Representations, 2018

A Semi-supervised Deep Generative Model for Human Body Analysis.

Rodrigo Andrade de Bem, Arnab Ghosh, Thalaiyasingam Ajanthan, Ondrej Miksik, N. Siddharth, Philip H. S. Torr

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Deep Fully-Connected Part-Based Models for Human Pose Estimation.

Rodrigo Andrade de Bem, Anurag Arnab, Stuart Golodetz, Michael Sapienza, Philip H. S. Torr

Proceedings of The 10th Asian Conference on Machine Learning, 2018

2013

3D Representation Models Construction through a Volume Geometric Decomposition Method.

Gisele M. Simas, Rodrigo Andrade de Bem, Silvia Silva da Costa Botelho

Proceedings of the VISAPP 2013, 2013

A 3D motion tracking method based on Nonparametric Belief Propagation.

Gisele M. Simas, Rodrigo Andrade de Bem, Silvia Silva da Costa Botelho

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2010

3D Motion Tracking Based on Probabilistic Volumetric Reconstruction and Optical Flow.

Gisele M. Simas, Guilherme P. Fickel, Lucas Novelo, Rodrigo Andrade de Bem, Silvia Silva da Costa Botelho

Proceedings of the SIBGRAPI 2010, 2010

Visual Tracking Based on 3D Probabilistic Reconstruction.

Gisele M. Simas, Rodrigo Andrade de Bem, Lucas Novelo, Guilherme P. Fickel, Silvia Silva da Costa Botelho

Proceedings of the 17th IEEE International Conference and Workshops on the Engineering of Computer-Based Systems, 2010

2003

Applying Neural Networks to Study the Mesoscale Variability of Oceanic Boundary Currents.

Silvia Silva da Costa Botelho, Mauricio M. Mata, Rodrigo Andrade de Bem, Igor Almeida

Proceedings of the Foundations of Intelligent Systems, 14th International Symposium, 2003