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ORCIDRuben Martinez-Cantin
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2020 – today
- 2024
[i31]Ruben Martinez-Cantin, Manuel Lopes, Luis Montesano
:
Body Schema Acquisition through Active Learning. CoRR abs/2402.06067 (2024)- [i30]Pedro Osório, Alexandre Bernardino, Ruben Martinez-Cantin, José Santos-Victor:
Gaussian Mixture Models for Affordance Learning using Bayesian Networks. CoRR abs/2402.06078 (2024) - [i29]Ruben Martinez-Cantin:
Bayesian Optimization with Adaptive Kernels for Robot Control. CoRR abs/2402.07021 (2024) - [i28]João Castanheira, Pedro Vicente, Ruben Martinez-Cantin, Lorenzo Jamone, Alexandre Bernardino:
Finding safe 3D robot grasps through efficient haptic exploration with unscented Bayesian optimization and collision penalty. CoRR abs/2402.07024 (2024) - [i27]Carlos Plou, Nerea Gallego, Alberto Sabater, Eduardo Montijano, Pablo Urcola, Luis Montesano, Ruben Martinez-Cantin, Ana C. Murillo:
EventSleep: Sleep Activity Recognition with Event Cameras. CoRR abs/2404.01801 (2024) - [i26]Carlos Plou, Ana C. Murillo, Ruben Martinez-Cantin:
Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation. CoRR abs/2404.01867 (2024) - [i25]Lorenzo Mur-Labadia, Ruben Martinez-Cantin, Josechu J. Guerrero, Giovanni Maria Farinella, Antonino Furnari:
AFF-ttention! Affordances and Attention models for Short-Term Object Interaction Anticipation. CoRR abs/2406.01194 (2024) - [i24]Carlos Plou, Lorenzo Mur-Labadia, Ruben Martinez-Cantin, Ana C. Murillo:
CARLOR @ Ego4D Step Grounding Challenge: Bayesian temporal-order priors for test time refinement. CoRR abs/2406.09575 (2024) - [i23]Lorenzo Mur-Labadia, Ruben Martinez-Cantin, Josechu Guerrero, Giovanni Maria Farinella:
ZARRIO @ Ego4D Short Term Object Interaction Anticipation Challenge: Leveraging Affordances and Attention-based models for STA. CoRR abs/2407.04369 (2024) - [i22]Carlos Plou, Pablo Pueyo, Ruben Martinez-Cantin, Mac Schwager, Ana C. Murillo, Eduardo Montijano:
Gen-Swarms: Adapting Deep Generative Models to Swarms of Drones. CoRR abs/2408.15899 (2024) - 2023
- [c18]Lorenzo Mur-Labadia, Josechu J. Guerrero, Ruben Martinez-Cantin:
Multi-label affordance mapping from egocentric vision. ICCV 2023: 5215-5226 - [c17]Javier Rodriguez Puigvert, Victor M. Batlle, J. M. M. Montiel, Ruben Martinez-Cantin, Pascal Fua, Juan D. Tardós, Javier Civera:
LightDepth: Single-View Depth Self-Supervision from Illumination Decline. ICCV 2023: 21216-21226 - [c16]Lorenzo Mur-Labadia, Ruben Martinez-Cantin, José Jesús Guerrero:
Bayesian deep learning for affordance segmentation in images. ICRA 2023: 6981-6987 - [c15]David Morilla-Cabello, Lorenzo Mur-Labadia, Ruben Martinez-Cantin, Eduardo Montijano:
Robust Fusion for Bayesian Semantic Mapping. IROS 2023: 76-81 - [i21]Lorenzo Mur-Labadia, Ruben Martinez-Cantin, Josechu J. Guerrero:
Bayesian Deep Learning for Affordance Segmentation in images. CoRR abs/2303.00871 (2023) - [i20]David Morilla-Cabello, Lorenzo Mur-Labadia, Ruben Martinez-Cantin, Eduardo Montijano:
Robust Fusion for Bayesian Semantic Mapping. CoRR abs/2303.07836 (2023) - [i19]Javier Rodriguez Puigvert, Victor M. Batlle, J. M. M. Montiel, Ruben Martinez-Cantin, Pascal Fua, Juan D. Tardós, Javier Civera:
LightDepth: Single-View Depth Self-Supervision from Illumination Decline. CoRR abs/2308.10525 (2023) - [i18]Lorenzo Mur-Labadia, José Jesús Guerrero, Ruben Martinez-Cantin:
Multi-label affordance mapping from egocentric vision. CoRR abs/2309.02120 (2023) - 2022
- [j7]Javier Rodriguez Puigvert, Ruben Martinez-Cantin, Javier Civera:
Bayesian Deep Neural Networks for Supervised Learning of Single-View Depth. IEEE Robotics Autom. Lett. 7(2): 2565-2572 (2022) - [c14]Javier Rodriguez Puigvert, David Recasens, Javier Civera, Ruben Martinez-Cantin:
On the Uncertain Single-View Depths in Colonoscopies. MICCAI (3) 2022: 130-140 - [i17]Melani Sanchez-Garcia, Roberto Morollón Ruiz, Ruben Martinez-Cantin, José Jesús Guerrero, Eduardo Fernández-Jover:
Assessing visual acuity in visual prostheses through a virtual-reality system. CoRR abs/2205.10395 (2022) - 2021
- [j6]Javier Garcia-Barcos, Ruben Martinez-Cantin:
Robust Policy Search for Robot Navigation. IEEE Robotics Autom. Lett. 6(2): 2389-2396 (2021) - [i16]Javier Rodriguez Puigvert, Ruben Martinez-Cantin, Javier Civera:
Bayesian Deep Networks for Supervised Single-View Depth Learning. CoRR abs/2104.14202 (2021) - [i15]Lorenzo Mur-Labadia, Ruben Martinez-Cantin:
Bayesian deep learning of affordances from RGB images. CoRR abs/2109.12845 (2021) - [i14]Melani Sanchez-Garcia, Alejandro Pérez-Yus, Ruben Martinez-Cantin, José Jesús Guerrero:
Augmented reality navigation system for visual prosthesis. CoRR abs/2109.14957 (2021) - [i13]Javier Rodriguez Puigvert, David Recasens, Javier Civera, Ruben Martinez-Cantin:
On the Uncertain Single-View Depths in Endoscopies. CoRR abs/2112.08906 (2021) - 2020
- [i12]Javier Garcia-Barcos, Ruben Martinez-Cantin:
Robust Policy Search for Robot Navigation with Stochastic Meta-Policies. CoRR abs/2003.01000 (2020)
2010 – 2019
- 2019
- [j5]Ruben Martinez-Cantin:
Funneled Bayesian Optimization for Design, Tuning and Control of Autonomous Systems. IEEE Trans. Cybern. 49(4): 1489-1500 (2019) - [c13]Javier Garcia-Barcos, Ruben Martinez-Cantin:
Fully Distributed Bayesian Optimization with Stochastic Policies. IJCAI 2019: 2357-2363 - [c12]Melani Sanchez-Garcia, Ruben Martinez-Cantin, José Jesús Guerrero:
Indoor Scenes Understanding for Visual Prosthesis with Fully Convolutional Networks. VISIGRAPP (5: VISAPP) 2019: 218-225 - [i11]Javier Garcia-Barcos, Ruben Martinez-Cantin:
Fully Distributed Bayesian Optimization with Stochastic Policies. CoRR abs/1902.09992 (2019) - 2018
- [c11]Ruben Martinez-Cantin, Kevin Tee, Michael McCourt:
Practical Bayesian optimization in the presence of outliers. AISTATS 2018: 1722-1731 - [c10]João Castanheira, Pedro Vicente, Ruben Martinez-Cantin, Lorenzo Jamone, Alexandre Bernardino:
Finding safe 3D robot grasps through efficient haptic exploration with unscented Bayesian optimization and collision penalty. IROS 2018: 1643-1648 - [i10]Melani Sanchez-Garcia, Ruben Martinez-Cantin, Josechu J. Guerrero:
Structural and object detection for phosphene images. CoRR abs/1809.09607 (2018) - 2017
- [c9]Ruben Martinez-Cantin:
Bayesian optimization with adaptive kernels for robot control. ICRA 2017: 3350-3356 - [i9]Ruben Martinez-Cantin, Michael McCourt, Kevin Tee:
Robust Bayesian Optimization with Student-t Likelihood. CoRR abs/1707.05729 (2017) - [i8]Kevin Tee, Michael McCourt, Ruben Martinez-Cantin, Ian Dewancker, Frank Liu:
Active Preference Learning for Personalized Portfolio Construction. CoRR abs/1708.07567 (2017) - [i7]Ruben Martinez-Cantin, Kevin Tee, Michael McCourt:
Practical Bayesian optimization in the presence of outliers. CoRR abs/1712.04567 (2017) - 2016
- [c8]José Nogueira, Ruben Martinez-Cantin, Alexandre Bernardino, Lorenzo Jamone:
Unscented Bayesian optimization for safe robot grasping. IROS 2016: 1967-1972 - [i6]José Nogueira, Ruben Martinez-Cantin, Alexandre Bernardino, Lorenzo Jamone:
Unscented Bayesian Optimization for Safe Robot Grasping. CoRR abs/1603.02038 (2016) - [i5]Ruben Martinez-Cantin:
Funneled Bayesian Optimization for Design, Tuning and Control of Autonomous Systems. CoRR abs/1610.00366 (2016) - 2015
- [i4]Ruben Martinez-Cantin:
Local Nonstationarity for Efficient Bayesian Optimization. CoRR abs/1506.02080 (2015) - 2014
- [j4]Ruben Martinez-Cantin:
BayesOpt: a Bayesian optimization library for nonlinear optimization, experimental design and bandits. J. Mach. Learn. Res. 15(1): 3735-3739 (2014) - [i3]Ruben Martinez-Cantin:
BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits. CoRR abs/1405.7430 (2014) - 2013
- [i2]Ruben Martinez-Cantin:
BayesOpt: A Library for Bayesian optimization with Robotics Applications. CoRR abs/1309.0671 (2013) - 2012
- [i1]Héctor Ratia, Luis Montesano, Ruben Martinez-Cantin:
On the Performance of Maximum Likelihood Inverse Reinforcement Learning. CoRR abs/1202.1558 (2012) - 2010
- [c7]Ruben Martinez-Cantin, Manuel Lopes, Luis Montesano:
Body schema acquisition through active learning. ICRA 2010: 1860-1866 - [c6]Pedro Osório, Alexandre Bernardino, Ruben Martinez-Cantin, José Santos-Victor:
Gaussian mixture models for affordance learning using Bayesian Networks. IROS 2010: 4432-4437
2000 – 2009
- 2009
- [j3]Ruben Martinez-Cantin, Nando de Freitas, Eric Brochu, José A. Castellanos, Arnaud Doucet:
A Bayesian exploration-exploitation approach for optimal online sensing and planning with a visually guided mobile robot. Auton. Robots 27(2): 93-103 (2009) - 2007
- [j2]José A. Castellanos, Ruben Martinez-Cantin, Juan D. Tardós, José Neira:
Robocentric map joining: Improving the consistency of EKF-SLAM. Robotics Auton. Syst. 55(1): 21-29 (2007) - [c5]Ruben Martinez-Cantin, Nando de Freitas, José A. Castellanos:
Analysis of Particle Methods for Simultaneous Robot Localization and Mapping and a New Algorithm: Marginal-SLAM. ICRA 2007: 2415-2420 - [c4]Ruben Martinez-Cantin, Nando de Freitas, Arnaud Doucet, José A. Castellanos:
Active Policy Learning for Robot Planning and Exploration under Uncertainty. Robotics: Science and Systems 2007 - 2006
- [c3]Ruben Martinez-Cantin, José A. Castellanos:
Bounding Uncertainty in EKF-SLAM: the Robocentric Local Approach. ICRA 2006: 430-435 - [c2]Ruben Martinez-Cantin, José A. Castellanos, Juan D. Tardós, J. M. M. Montiel:
Adaptive Scale Robust Segmentation for 2D Laser Scanner. IROS 2006: 796-801 - 2005
- [j1]José Jesús Guerrero, Ruben Martinez-Cantin, Carlos Sagüés:
Visual map-less navigation based on homographies. J. Field Robotics 22(10): 569-581 (2005) - [c1]Ruben Martinez-Cantin, José A. Castellanos:
Unscented SLAM for large-scale outdoor environments. IROS 2005: 3427-3432
Coauthor Index
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last updated on 2024-10-07 22:18 CEST by the dblp team
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