Bayesian deep learning of affordances from RGB images. - Lorenzo Mur-Labadia; Ruben Martinez-Cantin (CoRR, 2021)

Multi-label affordance mapping from egocentric vision. - Lorenzo Mur-Labadia; Josechu J. Guerrero; Ruben Martinez-Cantin (ICCV, 2023)

Bayesian deep learning for affordance segmentation in images. - Lorenzo Mur-Labadia; Ruben Martinez-Cantin; José Jesús Guerrero (ICRA, 2023)

Robust Fusion for Bayesian Semantic Mapping. - David Morilla-Cabello; Lorenzo Mur-Labadia; Ruben Martinez-Cantin; Eduardo Montijano (IROS, 2023)

AFF-ttention! Affordances and Attention Models for Short-Term Object Interaction Anticipation. - Lorenzo Mur-Labadia; Ruben Martinez-Cantin; José J. Guerrero; Giovanni Maria Farinella; Antonino Furnari (ECCV (23), 2024)

CARLOR @ Ego4D Step Grounding Challenge: Bayesian temporal-order priors for test time refinement. - Carlos Plou; Lorenzo Mur-Labadia; Ruben Martinez-Cantin; Ana C. Murillo (CoRR, 2024)

ZARRIO @ Ego4D Short Term Object Interaction Anticipation Challenge: Leveraging Affordances and Attention-based models for STA. - Lorenzo Mur-Labadia; Ruben Martinez-Cantin; Josechu Guerrero; Giovanni Maria Farinella (CoRR, 2024)

DIV-FF: Dynamic Image-Video Feature Fields For Environment Understanding in Egocentric Videos. - Lorenzo Mur-Labadia; Josechu Guerrero; Ruben Martinez-Cantin (CVPR, 2025)

O-MaMa @ EgoExo4D Correspondence Challenge: Learning Object Mask Matching between Egocentric and Exocentric Views. - Lorenzo Mur-Labadia; Maria Santos-Villafranca; Alejandro Pérez-Yus; Jesus Bermudez-Cameo; Ruben Martinez-Cantin; Josechu J. Guerrero (CoRR, 2025)