Gabriel Leivas Oliveira

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Thomas BroxUniversity of Freiburg and AmazonVerified email at cs.uni-freiburg.de
Wolfram BurgardProfessor of Computer Science, Technical University of NurembergVerified email at utn.de
Mario Fernando Montenegro CamposProfessor of Computer Science, Department of Cumputer Science - Universidade Federal de Minas GeraisVerified email at dcc.ufmg.br
Erickson R. NascimentoAssociate 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
Paulo Drews-JrNAUTEC, Centro de Ciencias Computacionais - Universidade Federal do Rio Grande - FURGVerified email at furg.br
Zicheng LiuMicrosoftVerified email at microsoft.com
MohammadReza ZolfaghariPhD, University of FreiburgVerified email at cs.uni-freiburg.de
Tayyab NaseerLyft Level 5, Self-driving divisionVerified email at woven-planet.global
Frederick TungBorealis AIVerified email at cs.ubc.ca
Noha RadwanInceptiveVerified email at inceptive.team
Ayush DewanTomTom Location Technology, BerlinVerified email at informatik.uni-freiburg.de
Andreas EitelParallel Domain. Previously Univ Freiburg PhDVerified email at cs.uni-freiburg.de
Raquel AokiSimon Fraser UniversityVerified email at sfu.ca
Mohamed Osama AhmedBorealis AIVerified email at borealisai.com
Senthil YogamaniAI Architect for Autonomous Driving | Principal Engineer, Qualcomm IrelandVerified email at qualcomm.com
Wonho BaeUniversity of British Columbia, VancouverVerified email at cs.ubc.ca
Mahmoud G. SalemUniversity of Guelph & Vector InstituteVerified email at google.com

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 Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2012	346	2012
Efficient deep methods for monocular road segmentation GL Oliveira, W Burgard, T Brox IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), 2016	266	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	224	2017
Deep multispectral semantic scene understanding of forested environments using multimodal fusion A Valada, GL Oliveira, T Brox, W Burgard 2016 International Symposium on Experimental Robotics, 465-477, 2017	180	2017
Semantics-aware Visual Localization under Challenging Perceptual Conditions T Naseer, GL Oliveira, T Brox, W Burgard IEEE International Conference on Robotics and Automation, 2017	128	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	126	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	76	2014
Deep semantic classification for 3d lidar data A Dewan, GL Oliveira, W Burgard 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017	66	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	65	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	57	2012
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	48	2009
Topometric localization with deep learning GL Oliveira, N Radwan, W Burgard, T Brox Robotics Research: The 18th International Symposium ISRR, 505-520, 2020	38	2020
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	34	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	31	2018
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	27	2016
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	19	2008
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	18	2014
Appearance-based odometry and mapping with feature descriptors for underwater robots SSC Botelho, PLJ Drews Junior, MS Figueiredo, CHD Rocha, GL Oliveira Journal of the Brazilian Computer Society 15, 47-54, 2009	17	2009
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	15	2010
Heterogeneous multi-task learning with expert diversity R Aoki, F Tung, GL Oliveira IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (6 …, 2022	10	2022

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