| Simple online and realtime tracking A Bewley, Z Ge, L Ott, F Ramos, B Upcroft 2016 IEEE international conference on image processing (ICIP), 3464-3468, 2016 | 4639 | 2016 |
| Malicious software classification using transfer learning of resnet-50 deep neural network E Rezende, G Ruppert, T Carvalho, F Ramos, P De Geus 2017 16th IEEE international conference on machine learning and applications …, 2017 | 353 | 2017 |
| Gaussian process occupancy maps S T O’Callaghan, FT Ramos The International Journal of Robotics Research 31 (1), 42-62, 2012 | 294 | 2012 |
| Gaussian process modeling of large‐scale terrain S Vasudevan, F Ramos, E Nettleton, H Durrant‐Whyte Journal of Field Robotics 26 (10), 812-840, 2009 | 294 | 2009 |
| Bayesian optimisation for intelligent environmental monitoring R Marchant, F Ramos 2012 IEEE/RSJ international conference on intelligent robots and systems …, 2012 | 242 | 2012 |
| Hilbert maps: Scalable continuous occupancy mapping with stochastic gradient descent F Ramos, L Ott The International Journal of Robotics Research 35 (14), 1717-1730, 2016 | 237 | 2016 |
| Malicious software classification using VGG16 deep neural network’s bottleneck features E Rezende, G Ruppert, T Carvalho, A Theophilo, F Ramos, P Geus Information Technology-New Generations: 15th International Conference on …, 2018 | 197 | 2018 |
| Bayesian optimisation for informative continuous path planning R Marchant, F Ramos 2014 IEEE International Conference on Robotics and Automation (ICRA), 6136-6143, 2014 | 176 | 2014 |
| Bayessim: adaptive domain randomization via probabilistic inference for robotics simulators F Ramos, RC Possas, D Fox arXiv preprint arXiv:1906.01728, 2019 | 172 | 2019 |
| Airborne vision‐based mapping and classification of large farmland environments M Bryson, A Reid, F Ramos, S Sukkarieh Journal of Field Robotics 27 (5), 632-655, 2010 | 162 | 2010 |
| A sparse covariance function for exact Gaussian process inference in large datasets. A Melkumyan, F Ramos IJCAI 9, 1936-1942, 2009 | 162 | 2009 |
| Unsupervised clustering of people from'skeleton'data A Ball, D Rye, F Ramos, M Velonaki Proceedings of the seventh annual ACM/IEEE international conference on Human …, 2012 | 141 | 2012 |
| Iris: Implicit reinforcement without interaction at scale for learning control from offline robot manipulation data A Mandlekar, F Ramos, B Boots, S Savarese, L Fei-Fei, A Garg, D Fox 2020 IEEE International Conference on Robotics and Automation (ICRA), 4414-4420, 2020 | 132 | 2020 |
| Storm: An integrated framework for fast joint-space model-predictive control for reactive manipulation M Bhardwaj, B Sundaralingam, A Mousavian, ND Ratliff, D Fox, F Ramos, ... Conference on Robot Learning, 750-759, 2022 | 129 | 2022 |
| Multi-kernel Gaussian processes A Melkumyan, F Ramos Proceedings of the Twenty-Second international joint conference on …, 2011 | 115 | 2011 |
| Modeling and decision making in spatio-temporal processes for environmental surveillance A Singh, F Ramos, HD Whyte, WJ Kaiser 2010 IEEE International Conference on Robotics and Automation, 5490-5497, 2010 | 114 | 2010 |
| Robot learning from randomized simulations: A review F Muratore, F Ramos, G Turk, W Yu, M Gienger, J Peters Frontiers in Robotics and AI 9, 799893, 2022 | 111 | 2022 |
| Accelerated policy learning with parallel differentiable simulation J Xu, V Makoviychuk, Y Narang, F Ramos, W Matusik, A Garg, M Macklin arXiv preprint arXiv:2204.07137, 2022 | 103 | 2022 |
| Disect: A differentiable simulation engine for autonomous robotic cutting E Heiden, M Macklin, Y Narang, D Fox, A Garg, F Ramos arXiv preprint arXiv:2105.12244, 2021 | 103 | 2021 |
| Contextual occupancy maps using Gaussian processes S O'Callaghan, FT Ramos, H Durrant-Whyte 2009 IEEE International Conference on Robotics and Automation, 1054-1060, 2009 | 103 | 2009 |
Lionel OttETH ZurichEmail confirmado em mavt.ethz.ch