Lorenzo Mur-Labadia

According to our database, Lorenzo Mur-Labadia authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, June, 2025

DIV-FF: Dynamic Image-Video Feature Fields For Environment Understanding in Egocentric Videos.

Lorenzo Mur-Labadia, Josechu Guerrero, Ruben Martinez-Cantin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

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

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

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Robust Fusion for Bayesian Semantic Mapping.

David Morilla-Cabello, Lorenzo Mur-Labadia, Ruben Martinez-Cantin, Eduardo Montijano

IROS, 2023

Bayesian deep learning for affordance segmentation in images.

Lorenzo Mur-Labadia, Ruben Martinez-Cantin, José Jesús Guerrero

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Multi-label affordance mapping from egocentric vision.

Lorenzo Mur-Labadia, Josechu J. Guerrero, Ruben Martinez-Cantin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Bayesian deep learning of affordances from RGB images.

Lorenzo Mur-Labadia, Ruben Martinez-Cantin

CoRR, 2021