Gabriel Leivas Oliveira - Google Scholar

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Thomas BroxProfessor at the University of Freiburg and Amazon ScholarVerified email at cs.uni-freiburg.de
Mario Fernando Montenegro CamposProfessor of Computer Science, Department of Cumputer Science - Universidade Federal de Minas GeraisVerified email at dcc.ufmg.br
Wolfram BurgardProfessor of Computer Science, University of FreiburgVerified email at informatik.uni-freiburg.de
Erickson R. NascimentoAssistant Professor of Computer Science, Universidade Federal de Minas GeraisVerified email at dcc.ufmg.br
Antonio Wilson VieiraDCEX - UnimontesVerified email at dcc.ufmg.br
Silvia Silva da Costa BotelhoComputer Science, Centro de Ciências Computacionais C3 , University Federal of RIo GrandeVerified email at furg.br
Abhinav ValadaAssistant Professor of Robot Learning, University of FreiburgVerified email at cs.uni-freiburg.de
Zicheng LiuMicrosoftVerified email at microsoft.com
Paulo Drews-JrIntelligent Robotics and Automation Group - NAUTEC, Federal University of Rio Grande - FURGVerified email at furg.br
MohammadReza ZolfaghariPhD candidate, University of FreiburgVerified email at cs.uni-freiburg.de
William Robson SchwartzAssociate Professor of Computer Science, Federal University of Minas Gerais, BrazilVerified email at dcc.ufmg.br
Tayyab NaseerLyft Level 5, Self-driving divisionVerified email at lyft.com
Nima SedaghatEuropean Organisation for Astronomical Research in the Southern Hemisphere (ESO)Verified email at eso.org
Noha RadwanGoogle ResearchVerified email at google.com
Emanuel da Silva Diaz EstradaUniversidade Federal do Rio GrandeVerified email at furg.br
Ayush DewanTomTom Location Technology, BerlinVerified email at informatik.uni-freiburg.de
Eder Mateus Nunes GonçalvesUniversidade Federal do Rio Grande - FURGVerified email at furg.br
Andreas EitelPhD Student, University of FreiburgVerified email at cs.uni-freiburg.de
Oier MeesUniversity of FreiburgVerified email at informatik.uni-freiburg.de
Johan VertensUniversity of FreiburgVerified email at informatik.uni-freiburg.de

Gabriel Leivas Oliveira

Borealis AI

Verified email at informatik.uni-freiburg.de - Homepage

Deep Learning Scene Understanding Computer Vision Robotics Machine Learning


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Stop: Space-time occupancy patterns for 3d action recognition from depth map sequences AW Vieira, ER Nascimento, GL Oliveira, Z Liu, MFM Campos Iberoamerican congress on pattern recognition, 252-259, 2012	286	2012
Efficient deep models for monocular road segmentation GL Oliveira, W Burgard, T Brox 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016	155	2016
Chained multi-stream networks exploiting pose, motion, and appearance for action classification and detection M Zolfaghari, GL Oliveira, N Sedaghat, T Brox Proceedings of the IEEE International Conference on Computer Vision, 2904-2913, 2017	115	2017
Deep Learning for Human Part Discovery in Images GL Oliveira, A Valada, C Bollen, W Burgard, T Brox IEEE International Conference on Robotics and Automation (ICRA), 2016	73	2016
Deep multispectral semantic scene understanding of forested environments using multimodal fusion A Valada, GL Oliveira, T Brox, W Burgard International Symposium on Experimental Robotics, 465-477, 2016	62	2016
On the improvement of human action recognition from depth map sequences using space–time occupancy patterns AW Vieira, ER Nascimento, GL Oliveira, Z Liu, MFM Campos Pattern Recognition Letters 36, 221-227, 2014	62	2014
Semantics-aware Visual Localization under Challenging Perceptual Conditions T Naseer, GL Oliveira, T Brox, W Burgard IEEE International Conference on Robotics and Automation, 2017	49	2017
BRAND: A robust appearance and depth descriptor for RGB-D images ER Nascimento, GL Oliveira, MFM Campos, AW Vieira, WR Schwartz 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012	48	2012
Sparse spatial coding: A novel approach for efficient and accurate object recognition GL Oliveira, ER Nascimento, AW Vieira, MFM Campos 2012 IEEE International Conference on Robotics and Automation, 2592-2598, 2012	46	2012
Deep semantic classification for 3d lidar data A Dewan, GL Oliveira, W Burgard 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017	35	2017
Visual odometry and mapping for underwater autonomous vehicles SS da Costa Botelho, P Drews, GL Oliveira, M da Silva Figueiredo 2009 6th Latin American Robotics Symposium (LARS 2009), 1-6, 2009	32	2009
On the development of a robust, fast and lightweight keypoint descriptor ER do Nascimento, GL Oliveira, AW Vieira, MFM Campos Neurocomputing 120, 141-155, 2013	26	2013
Efficient and robust deep networks for semantic segmentation GL Oliveira, C Bollen, W Burgard, T Brox The International Journal of Robotics Research 37 (4-5), 472-491, 2018	20	2018
Appearance-based odometry and mapping with feature descriptors for underwater robots SS da Costa Botelho, PLJD Junior, M da Silva Figueiredo, CH Da Rocha, ... Journal of the Brazilian Computer Society 15 (3), 47-54, 2009	17	2009
Tatubot–robotic system for inspection of undergrounded cable system C Mello Jr, EM Gonçalves, E Estrada, G Oliveira, H Souto Jr, R Almeida, ... 2008 IEEE Latin American Robotic Symposium, 170-175, 2008	17	2008
Topometric localization with deep learning GL Oliveira, N Radwan, W Burgard, T Brox Robotics Research, 505-520, 2020	16	2020
Sparse spatial coding: A novel approach to visual recognition GL Oliveira, ER Nascimento, AW Vieira, MFM Campos IEEE Transactions on Image Processing 23 (6), 2719-2731, 2014	16	2014
Towards robust semantic segmentation using deep fusion A Valada, G Oliveira, T Brox, W Burgard Robotics: Science and Systems (RSS 2016) Workshop, Are the Sceptics Right …, 2016	14	2016
Sensor fusion based on multi-self-organizing maps for SLAM G Leivas, S Botelho, P Drews, M Figueiredo, C Häffele 2010 IEEE Conference on Multisensor Fusion and Integration, 139-143, 2010	11	2010
Improving Object Detection and Recognition for Semantic Mapping with an Extended Intensity and Shape based Descriptor ER Nascimento, G Oliveira, M Campos, A Vieira IROS Workshop on Active Semantic Perception, USA, 2011	7	2011

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