| C-NLPCA: Extracting Non-Linear Principal Components of Image Datasets SSC Botelho, R de Bem, ÍL Almeida, MM Mata XII Simpósio Brasileiro de Sensoriamento Remoto (SBSR), 3495-3502, 2005 | 17 | 2005 |
| Analyzing and exploring feature detectors in images P Drews, R de Bem, A de Melo 9th IEEE International Conference on Industrial Informatics (INDIN), 305-310, 2011 | 12 | 2011 |
| 3d hand shape and pose from images in the wild A Boukhayma, R de Bem, PHS Torr Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 10 | 2019 |
| A model-free approach for object tracking in sequences of images R de Bem University of São Paulo, 2007 | 5* | 2007 |
| Applying neural networks to study the mesoscale variability of oceanic boundary currents SSC Botelho, MM Mata, R de Bem, I Almeida 14th Intl Symposium on Methodologies for Intelligent Systems (ISMIS), 684-688, 2003 | 5 | 2003 |
| Hardware and Software Infrastructure to Image Acquisition using Multiple Cameras D Thiel, M Goulart, S Botelho, R de Bem XXVI Conference on Graphics, Patterns, and Images (SIBGRAPI) - Workshop of …, 2013 | 4* | 2013 |
| A conditional deep generative model of people in natural images R de Bem, A Ghosh, A Boukhayma, T Ajanthan, N Siddharth, P Torr IEEE Winter Conference on Applications of Computer Vision (WACV), 1449-1458, 2019 | 3 | 2019 |
| Deep fully-connected part-based models for human pose estimation R de Bem, A Arnab, S Golodetz, M Sapienza, P Torr Asian Conference on Machine Learning (ACML), 327-342, 2018 | 3 | 2018 |
| DGPose: Disentangled Semi-supervised Deep Generative Models for Human Body Analysis R de Bem, A Ghosh, T Ajanthan, O Miksik, N Siddharth, PHS Torr arXiv preprint arXiv:1804.06364, 2018 | 3 | 2018 |
| A semi-supervised deep generative model for human body analysis R de Bem, A Ghosh, T Ajanthan, O Miksik, N Siddharth, P Torr European Conference on Computer Vision (ECCV) Workshops, 2018 | 3 | 2018 |
| 3D motion tracking based on probabilistic volumetric reconstruction and optical flow GM Simas, GP Fickel, L Novelo, R de Bem, SSC Botelho 23rd Conference on Graphics, Patterns and Images (SIBGRAPI), 279-286, 2010 | 3 | 2010 |
| Utilizando visão computacional para reconstrução probabilística 3D e rastreamento de movimento GM Simas, GP Fickel, L Novelo, R de Bem, SSC Botelho VETOR-Revista de Ciências Exatas e Engenharias 17 (2), 59-77, 2007 | 3 | 2007 |
| Rastreamento visual de múltiplos objetos utilizando uma abordagem livre de modelo R de Bem, AHR Costa XVI Congresso Brasileiro de Automática (CBA), 2760-2765, 2006 | 3 | 2006 |
| A 3d motion tracking method based on nonparametric belief propagation G Simas, R de Bem, S Botelho IEEE International Conference on Robotics and Automation (ICRA), 1616-1622, 2013 | 1 | 2013 |
| 3D Representation Models Construction through a Volume Geometric Decomposition Method G Simas, R de Bem, S Botelho 8th Intl Conference on Computer Vision Theory and Applications (VISAPP), 274-279, 2013 | 1 | 2013 |
| Using computer vision for 3d probabilistic reconstruction and motion tracking GM Simas, GP Fickel, L Novelo, SSC Botelho, R de Bem 3rd Southern Conference on Computational Modeling (MCSUL), 119-124, 2009 | 1 | 2009 |
| Rastreamento Visual de Multiplos Objetos Baseado em Contornos Aplicado ao Futebol de Robôs R de Bem, AHR Costa III Encontro de Robótica Inteligente (EnRI) / XXVI Congresso da SBC, 163-172, 2006 | 1* | 2006 |
| Cascaded Nonlinear Principal Components Analysis: an application in extraction of human movements from video sequences M Figueiredo, S Botelho, R de Bem, TM Centeno, W Lautenschlager VII Simpósio Brasileiro de Automação Inteligente (SBAI) / II IEEE Latin …, 2005 | 1 | 2005 |
| Critical Percolation as a Framework to Analyze the Training of Deep Networks Z Ringel, R de Bem 6th International Conference on Learning Representations (ICLR), 2018 | | 2018 |
| Looking deep at people: towards understanding and generating humans in images with deep learning RA de Bem University of Oxford, 2018 | | 2018 |
Silvia Silva da Costa BotelhoComputer Science, Centro de Ciências Computacionais C3 , University Federal of RIo GrandeEmail confirmado em furg.br
