Следене
Gabriel Leivas Oliveira
Gabriel Leivas Oliveira
Borealis AI
Потвърден имейл адрес: informatik.uni-freiburg.de - Начална страница
Заглавие
Позовавания
Позовавания
Година
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
3432012
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
2502016
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
2132017
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
1572017
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
1222016
Semantics-aware Visual Localization under Challenging Perceptual Conditions
T Naseer, GL Oliveira, T Brox, W Burgard
IEEE International Conference on Robotics and Automation, 2017
1212017
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
762014
Deep semantic classification for 3d lidar data
A Dewan, GL Oliveira, W Burgard
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
632017
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
632012
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
582012
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
462009
Topometric localization with deep learning
GL Oliveira, N Radwan, W Burgard, T Brox
Robotics Research: The 18th International Symposium ISRR, 505-520, 2020
372020
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
342013
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
312018
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
242016
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
192008
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
182014
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
172009
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
142010
Perspectives on deep multimodel robot learning
W Burgard, A Valada, N Radwan, T Naseer, J Zhang, J Vertens, O Mees, ...
Robotics Research: The 18th International Symposium ISRR, 17-24, 2020
82020
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