Daniel Maturana
According to our database1,
Daniel Maturana
authored at least 19 papers
between 2009 and 2022.
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Bibliography
2022
2019
Improving Learning-based Ego-motion Estimation with Homomorphism-based Losses and Drift Correction.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
2018
Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018
2017
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
Wire detection using synthetic data and dilated convolutional networks for unmanned aerial vehicles.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
Improving Stochastic Policy Gradients in Continuous Control with Deep Reinforcement Learning using the Beta Distribution.
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the Field and Service Robotics, 2017
Proceedings of the Field and Service Robotics, 2017
2016
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016
2015
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015
Proceedings of the IEEE International Conference on Robotics and Automation, 2015
Proceedings of the Field and Service Robotics, 2015
2014
Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
2012
Estimation, planning, and mapping for autonomous flight using an RGB-D camera in GPS-denied environments.
Int. J. Robotics Res., 2012
2011
Proceedings of the Robotics Research, 2011
Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011
2010
Proceedings of the Computer Vision - ACCV 2010, 2010
2009
Face Recognition with Local Binary Patterns, Spatial Pyramid Histograms and Naive Bayes Nearest Neighbor Classification.
Proceedings of the 2009 International Conference of the Chilean Computer Science Society, 2009