متابعة
Fabio Ramos
Fabio Ramos
University of Sydney and NVIDIA
بريد إلكتروني تم التحقق منه على sydney.edu.au - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
46352016
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
3532017
Gaussian process occupancy maps‏
S T O’Callaghan, FT Ramos‏
The International Journal of Robotics Research 31 (1), 42-62, 2012‏
2942012
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
2942009
Bayesian optimisation for intelligent environmental monitoring‏
R Marchant, F Ramos‏
2012 IEEE/RSJ international conference on intelligent robots and systems …, 2012‏
2422012
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
2372016
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
1972018
Bayesian optimisation for informative continuous path planning‏
R Marchant, F Ramos‏
2014 IEEE International Conference on Robotics and Automation (ICRA), 6136-6143, 2014‏
1762014
Bayessim: adaptive domain randomization via probabilistic inference for robotics simulators‏
F Ramos, RC Possas, D Fox‏
arXiv preprint arXiv:1906.01728, 2019‏
1722019
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
1622010
A sparse covariance function for exact Gaussian process inference in large datasets.‏
A Melkumyan, F Ramos‏
IJCAI 9, 1936-1942, 2009‏
1622009
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
1412012
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
1322020
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
1282022
Multi-kernel Gaussian processes‏
A Melkumyan, F Ramos‏
Proceedings of the Twenty-Second international joint conference on …, 2011‏
1152011
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
1142010
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
1112022
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
1032022
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
1032021
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
1032009
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مقالات 1–20