5 papers
Uncertainty Estimation in Instance Segmentation of Affordances via Bayesian Visual Transformers
Lorenzo Mur-Labadia, Ruben Martinez-Cantina, Jose J. Guerrero
Visual affordances identify regions in an image with potential interactions, offering a novel paradigm for scene understanding. Recognizing affordances allows autonomous robots to…
Integrating Affordances and Attention models for Short-Term Object Interaction Anticipation
Lorenzo Mur Labadia, Ruben Martinez-Cantin, Jose J. Guerrero +2
Short Term object-interaction Anticipation consists in detecting the location of the next active objects, the noun and verb categories of the interaction, as well as the time to co…
O-MaMa: Learning Object Mask Matching between Egocentric and Exocentric Views
Lorenzo Mur-Labadia, Maria Santos-Villafranca, Jesus Bermudez-Cameo +3
Understanding the world from multiple perspectives is essential for intelligent systems operating together, where segmenting common objects across different views remains an open p…
DIV-FF: Dynamic Image-Video Feature Fields For Environment Understanding in Egocentric Videos
Lorenzo Mur-Labadia, Josechu Guerrero, Ruben Martinez-Cantin
Environment understanding in egocentric videos is an important step for applications like robotics, augmented reality and assistive technologies. These videos are characterized by…
AFF-ttention! Affordances and Attention models for Short-Term Object Interaction Anticipation
Lorenzo Mur-Labadia, Ruben Martinez-Cantin, Josechu Guerrero +2
Short-Term object-interaction Anticipation consists of detecting the location of the next-active objects, the noun and verb categories of the interaction, and the time to contact f…