Ruben Martinez-Cantin

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 41

Top Topics

Robot Navigation

Semantic Mapping

Top Venues

IEEE Robotics Autom. Lett.

Publications

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 (2024)
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 (2024)
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 (2024)
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 (2024)
Ruben Martinez-Cantin
Bayesian Optimization with Adaptive Kernels for Robot Control. CoRR (2024)
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 (2024)
Ruben Martinez-Cantin, Manuel Lopes, Luis Montesano
Body Schema Acquisition through Active Learning. CoRR (2024)
Pedro Osório, Alexandre Bernardino, Ruben Martinez-Cantin, José Santos-Victor
Gaussian Mixture Models for Affordance Learning using Bayesian Networks. CoRR (2024)
Carlos Plou, Ana C. Murillo, Ruben Martinez-Cantin
Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation. CoRR (2024)
David Morilla-Cabello, Lorenzo Mur-Labadia, Ruben Martinez-Cantin, Eduardo Montijano
Robust Fusion for Bayesian Semantic Mapping. CoRR (2023)
David Morilla-Cabello, Lorenzo Mur-Labadia, Ruben Martinez-Cantin, Eduardo Montijano
Robust Fusion for Bayesian Semantic Mapping. IROS (2023)
Lorenzo Mur-Labadia, Ruben Martinez-Cantin, José Jesús Guerrero
Bayesian deep learning for affordance segmentation in images. ICRA (2023)
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 (2023)
Lorenzo Mur-Labadia, Ruben Martinez-Cantin, Josechu J. Guerrero
Bayesian Deep Learning for Affordance Segmentation in images. CoRR (2023)
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)
Lorenzo Mur-Labadia, Jose J. Guerrero, Ruben Martinez-Cantin
Multi-label affordance mapping from egocentric vision. ICCV (2023)
Lorenzo Mur-Labadia, José Jesús Guerrero, Ruben Martinez-Cantin
Multi-label affordance mapping from egocentric vision. CoRR (2023)
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) (2022)
Javier Rodriguez Puigvert, David Recasens, Javier Civera, Ruben Martinez-Cantin
On the Uncertain Single-View Depths in Colonoscopies. MICCAI (3) (2022)
Melani Sanchez-Garcia, Roberto Morollon-Ruiz, Ruben Martinez-Cantin, José Jesús Guerrero, Eduardo Fernández-Jover
Assessing visual acuity in visual prostheses through a virtual-reality system. CoRR (2022)
Melani Sanchez-Garcia, Alejandro Pérez-Yus, Ruben Martinez-Cantin, José Jesús Guerrero
Augmented reality navigation system for visual prosthesis. CoRR (2021)
Javier Rodriguez Puigvert, David Recasens, Javier Civera, Ruben Martinez-Cantin
On the Uncertain Single-View Depths in Endoscopies. CoRR (2021)
Lorenzo Mur-Labadia, Ruben Martinez-Cantin
Bayesian deep learning of affordances from RGB images. CoRR (2021)
Javier Garcia-Barcos, Ruben Martinez-Cantin
Robust Policy Search for Robot Navigation. IEEE Robotics Autom. Lett. 6 (2) (2021)
Javier Rodriguez Puigvert, Ruben Martinez-Cantin, Javier Civera
Bayesian Deep Networks for Supervised Single-View Depth Learning. CoRR (2021)
Javier Garcia-Barcos, Ruben Martinez-Cantin
Robust Policy Search for Robot Navigation with Stochastic Meta-Policies. CoRR (2020)
Melani Sanchez-Garcia, Ruben Martinez-Cantin, José Jesús Guerrero
Indoor Scenes Understanding for Visual Prosthesis with Fully Convolutional Networks. VISIGRAPP (5: VISAPP) (2019)
Javier Garcia-Barcos, Ruben Martinez-Cantin
Fully Distributed Bayesian Optimization with Stochastic Policies. IJCAI (2019)
Javier Garcia-Barcos, Ruben Martinez-Cantin
Fully Distributed Bayesian Optimization with Stochastic Policies. CoRR (2019)
Ruben Martinez-Cantin
Funneled Bayesian Optimization for Design, Tuning and Control of Autonomous Systems. IEEE Trans. Cybern. 49 (4) (2019)
Ruben Martinez-Cantin, Kevin Tee, Michael McCourt
Practical Bayesian optimization in the presence of outliers. AISTATS (2018)
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)
Melani Sanchez-Garcia, Ruben Martinez-Cantin, Josechu J. Guerrero
Structural and object detection for phosphene images. CoRR (2018)
Kevin Tee, Michael McCourt, Ruben Martinez-Cantin, Ian Dewancker, Frank Liu
Active Preference Learning for Personalized Portfolio Construction. CoRR (2017)
Ruben Martinez-Cantin, Kevin Tee, Michael McCourt
Practical Bayesian optimization in the presence of outliers. CoRR (2017)
Ruben Martinez-Cantin, Michael McCourt, Kevin Tee
Robust Bayesian Optimization with Student-t Likelihood. CoRR (2017)
Ruben Martinez-Cantin
Bayesian optimization with adaptive kernels for robot control. ICRA (2017)
José Nogueira, Ruben Martinez-Cantin, Alexandre Bernardino, Lorenzo Jamone
Unscented Bayesian Optimization for Safe Robot Grasping. CoRR (2016)
Ruben Martinez-Cantin
Funneled Bayesian Optimization for Design, Tuning and Control of Autonomous Systems. CoRR (2016)
José Nogueira, Ruben Martinez-Cantin, Alexandre Bernardino, Lorenzo Jamone
Unscented Bayesian optimization for safe robot grasping. IROS (2016)
Ruben Martinez-Cantin
Local Nonstationarity for Efficient Bayesian Optimization. CoRR (2015)
Ruben Martinez-Cantin
BayesOpt: a Bayesian optimization library for nonlinear optimization, experimental design and bandits. J. Mach. Learn. Res. 15 (1) (2014)
Ruben Martinez-Cantin
BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits. CoRR (2014)
Ruben Martinez-Cantin
BayesOpt: A Library for Bayesian optimization with Robotics Applications. CoRR (2013)
Héctor Ratia, Luis Montesano, Ruben Martinez-Cantin
On the Performance of Maximum Likelihood Inverse Reinforcement Learning CoRR (2012)
Pedro Osório, Alexandre Bernardino, Ruben Martinez-Cantin, José Santos-Victor
Gaussian mixture models for affordance learning using Bayesian Networks. IROS (2010)
Ruben Martinez-Cantin, Manuel Lopes, Luis Montesano
Body schema acquisition through active learning. ICRA (2010)
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) (2009)
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)
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)
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) (2007)
Ruben Martinez-Cantin, José A. Castellanos, Juan D. Tardós, J. M. M. Montiel
Adaptive Scale Robust Segmentation for 2D Laser Scanner. IROS (2006)
Ruben Martinez-Cantin, José A. Castellanos
Bounding Uncertainty in EKF-SLAM: the Robocentric Local Approach. ICRA (2006)
Ruben Martinez-Cantin, José A. Castellanos
Unscented SLAM for large-scale outdoor environments. IROS (2005)
José Jesús Guerrero, Ruben Martinez-Cantin, Carlos Sagüés
Visual map-less navigation based on homographies. J. Field Robotics 22 (10) (2005)