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ORCIDRodrigo Andrade de Bem
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2020 – today
- 2023
[c13]Lucas Silva, Paulo Drews Jr., Rodrigo Andrade de Bem
:
Soybean Weeds Segmentation Using VT-Net: A Convolutional-Transformer Model. SIBGRAPI 2023: 127-132- 2021
- [c12]Albano Borba, Johann Pires, Rafael Molossi Escher, Rodrigo Andrade de Bem, Paulo Drews Jr.:
A spatio-temporal exposure correction neural network for autonomous vehicle. SAC 2021: 793-800 - [c11]Rafael Molossi Escher, Rodrigo Andrade de Bem, Paulo Lilles Jorge Drews Junior:
Fast Spatial-Temporal Transformer Network. SIBGRAPI 2021: 65-72 - 2020
- [j1]Rodrigo Andrade de Bem, Arnab Ghosh, Thalaiyasingam Ajanthan, Ondrej Miksik, Adnane Boukhayma, N. Siddharth, Philip H. S. Torr:
DGPose: Deep Generative Models for Human Body Analysis. Int. J. Comput. Vis. 128(5): 1537-1563 (2020)
2010 – 2019
- 2019
- [c10]Adnane Boukhayma, Rodrigo Andrade de Bem, Philip H. S. Torr:
3D Hand Shape and Pose From Images in the Wild. CVPR 2019: 10843-10852 - [c9]Rodrigo Andrade de Bem, Arnab Ghosh, Adnane Boukhayma, Thalaiyasingam Ajanthan, N. Siddharth, Philip H. S. Torr:
A Conditional Deep Generative Model of People in Natural Images. WACV 2019: 1449-1458 - [i2]Adnane Boukhayma, Rodrigo Andrade de Bem, Philip H. S. Torr:
3D Hand Shape and Pose from Images in the Wild. CoRR abs/1902.03451 (2019) - 2018
- [b1]Rodrigo Andrade de Bem:
Looking deep at people: towards understanding and generating humans in images with deep learning. University of Oxford, UK, 2018 - [c8]Rodrigo Andrade de Bem, Anurag Arnab, Stuart Golodetz, Michael Sapienza, Philip H. S. Torr:
Deep Fully-Connected Part-Based Models for Human Pose Estimation. ACML 2018: 327-342 - [c7]Rodrigo Andrade de Bem, Arnab Ghosh, Thalaiyasingam Ajanthan, Ondrej Miksik, N. Siddharth, Philip H. S. Torr:
A Semi-supervised Deep Generative Model for Human Body Analysis. ECCV Workshops (2) 2018: 500-517 - [c6]Zohar Ringel, Rodrigo Andrade de Bem:
Critical Percolation as a Framework to Analyze the Training of Deep Networks. ICLR (Poster) 2018 - [i1]Rodrigo Andrade de Bem, Arnab Ghosh, Thalaiyasingam Ajanthan, Ondrej Miksik, N. Siddharth, Philip H. S. Torr:
DGPose: Disentangled Semi-supervised Deep Generative Models for Human Body Analysis. CoRR abs/1804.06364 (2018) - 2013
- [c5]Gisele M. Simas, Rodrigo Andrade de Bem, Silvia Silva da Costa Botelho:
A 3D motion tracking method based on Nonparametric Belief Propagation. ICRA 2013: 1616-1622 - [c4]Gisele M. Simas, Rodrigo Andrade de Bem, Silvia Silva da Costa Botelho:
3D Representation Models Construction through a Volume Geometric Decomposition Method. VISAPP (2) 2013: 274-279 - 2010
- [c3]Gisele M. Simas, Rodrigo Andrade de Bem, Lucas Novelo, Guilherme P. Fickel, Silvia Silva da Costa Botelho:
Visual Tracking Based on 3D Probabilistic Reconstruction. ECBS 2010: 403-409 - [c2]Gisele M. Simas, Guilherme P. Fickel, Lucas Novelo, Rodrigo Andrade de Bem, Silvia Silva da Costa Botelho:
3D Motion Tracking Based on Probabilistic Volumetric Reconstruction and Optical Flow. SIBGRAPI 2010: 279-286
2000 – 2009
- 2003
- [c1]Silvia Silva da Costa Botelho, Mauricio M. Mata, Rodrigo Andrade de Bem, Igor Almeida:
Applying Neural Networks to Study the Mesoscale Variability of Oceanic Boundary Currents. ISMIS 2003: 684-688
Coauthor Index
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