| Multi-label affordance mapping from egocentric vision L Mur-Labadia, JJ Guerrero, R Martinez-Cantin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 9 | 2023 |
| Bayesian deep learning for affordance segmentation in images L Mur-Labadia, R Martinez-Cantin, JJ Guerrero 2023 IEEE International Conference on Robotics and Automation (ICRA), 6981-6987, 2023 | 8 | 2023 |
| Robust fusion for bayesian semantic mapping D Morilla-Cabello, L Mur-Labadia, R Martinez-Cantin, E Montijano 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 5 | 2023 |
| AFF-ttention! Affordances and Attention models for Short-Term Object Interaction Anticipation L Mur-Labadia, R Martinez-Cantin, J Guerrero, GM Farinella, A Furnari arXiv preprint arXiv:2406.01194, 2024 | 1 | 2024 |
| ZARRIO@ Ego4D Short Term Object Interaction Anticipation Challenge: Leveraging Affordances and Attention-based models for STA L Mur-Labadia, R Martinez-Cantin, J Guerrero-Campo, GM Farinella arXiv preprint arXiv:2407.04369, 2024 | | 2024 |
| CARLOR@ Ego4D Step Grounding Challenge: Bayesian temporal-order priors for test time refinement C Plou, L Mur-Labadia, R Martinez-Cantin, AC Murillo arXiv preprint arXiv:2406.09575, 2024 | | 2024 |
| Bayesian deep learning of affordances from RGB images L Mur-Labadia, R Martinez-Cantin arXiv preprint arXiv:2109.12845, 2021 | | 2021 |
Ruben Martinez-CantinAssociate Professor, University of Zaragoza, SpainVerified email at unizar.es
