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 (ISMIS, 2003)

Visual Tracking Based on 3D Probabilistic Reconstruction. - Gisele M. Simas; Rodrigo Andrade de Bem; Lucas Novelo; Guilherme P. Fickel; Silvia Silva da Costa Botelho (ECBS, 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 (SIBGRAPI, 2010)

A 3D motion tracking method based on Nonparametric Belief Propagation. - Gisele M. Simas; Rodrigo Andrade de Bem; Silvia Silva da Costa Botelho (ICRA, 2013)

3D Representation Models Construction through a Volume Geometric Decomposition Method. - Gisele M. Simas; Rodrigo Andrade de Bem; Silvia Silva da Costa Botelho (VISAPP (2), 2013)

Deep Fully-Connected Part-Based Models for Human Pose Estimation. - Rodrigo Andrade de Bem; Anurag Arnab; Stuart Golodetz; Michael Sapienza; Philip H. S. Torr (ACML, 2018)

A Semi-supervised Deep Generative Model for Human Body Analysis. - Rodrigo Andrade de Bem; Arnab Ghosh; Thalaiyasingam Ajanthan; Ondrej Miksik; N. Siddharth 001; Philip H. S. Torr (ECCV Workshops (2), 2018)

Critical Percolation as a Framework to Analyze the Training of Deep Networks. - Zohar Ringel; Rodrigo Andrade de Bem (ICLR (Poster), 2018)

DGPose: Disentangled Semi-supervised Deep Generative Models for Human Body Analysis. - Rodrigo Andrade de Bem; Arnab Ghosh; Thalaiyasingam Ajanthan; Ondrej Miksik; N. Siddharth 001; Philip H. S. Torr (CoRR, 2018)

Looking deep at people: towards understanding and generating humans in images with deep learning. - Rodrigo Andrade de Bem (2018)

3D Hand Shape and Pose From Images in the Wild. - Adnane Boukhayma; Rodrigo Andrade de Bem; Philip H. S. Torr (CVPR, 2019)

A Conditional Deep Generative Model of People in Natural Images. - Rodrigo Andrade de Bem; Arnab Ghosh; Adnane Boukhayma; Thalaiyasingam Ajanthan; N. Siddharth 001; Philip H. S. Torr (WACV, 2019)

DGPose: Deep Generative Models for Human Body Analysis. - Rodrigo Andrade de Bem; Arnab Ghosh; Thalaiyasingam Ajanthan; Ondrej Miksik; Adnane Boukhayma; N. Siddharth 001; Philip H. S. Torr (Int. J. Comput. Vis., 2020)

A spatio-temporal exposure correction neural network for autonomous vehicle. - Albano Borba; Johann Pires; Rafael Molossi Escher; Rodrigo Andrade de Bem; Paulo Drews Jr. (SAC, 2021)

Fast Spatial-Temporal Transformer Network. - Rafael Molossi Escher; Rodrigo Andrade de Bem; Paulo Lilles Jorge Drews Junior (SIBGRAPI, 2021)

Soybean Weeds Segmentation Using VT-Net: A Convolutional-Transformer Model. - Lucas Silva; Paulo Drews Jr.; Rodrigo Andrade de Bem (SIBGRAPI, 2023)

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 (ICMLA, 2024)