| 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 | 4005 | 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 | 318 | 2017 |
| 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 | 281 | 2009 |
| Gaussian process occupancy maps S T O’Callaghan, FT Ramos The International Journal of Robotics Research 31 (1), 42-62, 2012 | 279 | 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 | 226 | 2016 |
| Bayesian optimisation for intelligent environmental monitoring R Marchant, F Ramos 2012 IEEE/RSJ international conference on intelligent robots and systems …, 2012 | 223 | 2012 |
| 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 | 186 | 2018 |
| Bayesian optimisation for informative continuous path planning R Marchant, F Ramos 2014 IEEE International Conference on Robotics and Automation (ICRA), 6136-6143, 2014 | 163 | 2014 |
| Bayessim: adaptive domain randomization via probabilistic inference for robotics simulators F Ramos, RC Possas, D Fox arXiv preprint arXiv:1906.01728, 2019 | 155 | 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 | 155 | 2010 |
| A sparse covariance function for exact Gaussian process inference in large datasets A Melkumyan, FT Ramos Twenty-first international joint conference on artificial intelligence, 2009 | 151 | 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 | 137 | 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 | 118 | 2020 |
| Multi-kernel Gaussian processes A Melkumyan, F Ramos Proceedings of the Twenty-Second international joint conference on …, 2011 | 109 | 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 | 109 | 2010 |
| 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 | 103 | 2022 |
| CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching. FT Ramos, D Fox, HF Durrant-Whyte Robotics: Science and Systems, 2007 | 100 | 2007 |
| Classification and semantic mapping of urban environments B Douillard, D Fox, F Ramos, H Durrant-Whyte The international journal of robotics research 30 (1), 5-32, 2011 | 99 | 2011 |
| 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 | 99 | 2009 |
| Sequential Bayesian optimisation for spatial-temporal monitoring. R Marchant, F Ramos, S Sanner UAI, 553-562, 2014 | 89 | 2014 |
Lionel OttETH Zurich在 mavt.ethz.ch 的电子邮件经过验证
