| Voxnet: A 3d convolutional neural network for real-time object recognition D Maturana, S Scherer 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 1387 | 2015 |
| Visual odometry and mapping for autonomous flight using an RGB-D camera AS Huang, A Bachrach, P Henry, M Krainin, D Maturana, D Fox, N Roy Robotics Research, 235-252, 2017 | 745 | 2017 |
| Seeing 3d chairs: exemplar part-based 2d-3d alignment using a large dataset of cad models M Aubry, D Maturana, AA Efros, BC Russell, J Sivic Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 405 | 2014 |
| Lasagne: first release S Dieleman, J Schlüter, C Raffel, E Olson, SK Sĝnderby, D Nouri, ... Zenodo: Geneva, Switzerland 3, 2015 | 264 | 2015 |
| 3D Convolutional Neural Networks for Landing Zone Detection from LiDAR D Maturana, S Scherer ICRA, 2015 | 161 | 2015 |
| Estimation, planning, and mapping for autonomous flight using an RGB-D camera in GPS-denied environments A Bachrach, S Prentice, R He, P Henry, AS Huang, M Krainin, D Maturana, ... The International Journal of Robotics Research 31 (11), 1320-1343, 2012 | 148 | 2012 |
| Face recognition with local binary patterns, spatial pyramid histograms and naive Bayes nearest neighbor classification D Maturana, D Mery, A Soto 2009 International Conference of the Chilean Computer Science Society, 125-132, 2009 | 101 | 2009 |
| Face recognition with decision tree-based local binary patterns D Maturana, D Mery, A Soto Asian Conference on Computer Vision, 618-629, 2010 | 81 | 2010 |
| Learning discriminative local binary patterns for face recognition D Maturana, D Mery, A Soto Face and Gesture 2011, 470-475, 2011 | 75 | 2011 |
| Improving stochastic policy gradients in continuous control with deep reinforcement learning using the beta distribution PW Chou, D Maturana, S Scherer International conference on machine learning, 834-843, 2017 | 47 | 2017 |
| Lasagne: First release., August 2015 S Dieleman, J Schlter, C Raffel, E Olson, SK Snderby, D Nouri, ... URL http://dx. doi. org/10.5281/zenodo 27878, 139, 2016 | 41 | 2016 |
| diogo149, B S Dieleman, J Schlüter, C Raffel, E Olson, SK Sĝnderby, D Nouri, ... McFee, H. Weideman, takacsg84, peterderivaz, Jon, instagibbs, DK Rasul …, 2015 | 35 | 2015 |
| Real-time 3D scene layout from a single image using convolutional neural networks S Yang, D Maturana, S Scherer 2016 IEEE international conference on robotics and automation (ICRA), 2183-2189, 2016 | 32 | 2016 |
| diogo149, Brian McFee, Hendrik Weideman, takacsg84, peterderivaz, Jon, instagibbs, Dr S Dieleman, J Schlüter, C Raffel, E Olson, SK Sĝnderby, D Nouri, ... Kashif Rasul, CongLiu, Britefury, and Jonas Degrave. Lasagne: First release 36, 2015 | 29 | 2015 |
| Lasagne: First release.(Aug. 2015) S Dieleman, J Schlüter, C Raffel, E Olson, SK Sĝnderby, D Nouri, ... URL http://dx. doi. org/10.5281/zenodo 27878, 147, 2015 | 19 | 2015 |
| Real-time semantic mapping for autonomous off-road navigation D Maturana, PW Chou, M Uenoyama, S Scherer Field and Service Robotics, 335-350, 2018 | 18 | 2018 |
| Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories Y Zhang, W Wang, R Bonatti, D Maturana, S Scherer arXiv preprint arXiv:1810.07225, 2018 | 16 | 2018 |
| Multi-scale convolutional architecture for semantic segmentation A Raj, D Maturana, S Scherer Robotics Institute, Carnegie Mellon University, Tech. Rep. CMU-RITR-15-21, 2015 | 15 | 2015 |
| Season-invariant semantic segmentation with a deep multimodal network DK Kim, D Maturana, M Uenoyama, S Scherer Field and service robotics, 255-270, 2018 | 14 | 2018 |
| Looking forward: A semantic mapping system for scouting with micro-aerial vehicles D Maturana, S Arora, S Scherer 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 13 | 2017 |
