Bayesian Deep Learning for Affordance Segmentation in images

Bayesian Deep Learning for Affordance Segmentation in images

2 March 2023

Lorenzo Mur-Labadia

Ruben Martinez-Cantin

Jose J. Guerrero

Papers citing "Bayesian Deep Learning for Affordance Segmentation in images"

11 / 11 papers shown

Title
Visual Affordances: Enabling Robots to Understand Object Functionality Tommaso Apicella Alessio Xompero Andrea Cavallaro 43 0 0 08 May 2025
Segmenting Object Affordances: Reproducibility and Sensitivity to Scale Tommaso Apicella Alessio Xompero Paolo Gastaldo Andrea Cavallaro 40 2 0 03 Sep 2024
Learning Precise Affordances from Egocentric Videos for Robotic Manipulation Gen Li Nikolaos Tsagkas Jifei Song Ruaridh Mon-Williams S. Vijayakumar Kun Shao Laura Sevilla-Lara 36 7 0 19 Aug 2024
AFF-ttention! Affordances and Attention models for Short-Term Object Interaction Anticipation Lorenzo Mur-Labadia Ruben Martinez-Cantin Jose J. Guerrero G. Farinella Antonino Furnari 34 4 0 03 Jun 2024
Clio: Real-time Task-Driven Open-Set 3D Scene Graphs Dominic Maggio Yun Chang Nathan Hughes Matthew Trang Dan Griffith Carlyn Dougherty Eric Cristofalo Lukas Schmid Luca Carlone 3DV 38 32 0 21 Apr 2024
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI Theodore Papamarkou Maria Skoularidou Konstantina Palla Laurence Aitchison Julyan Arbel ... David Rügamer Yee Whye Teh Max Welling Andrew Gordon Wilson Ruqi Zhang UQCV BDL 40 27 0 01 Feb 2024
One-Shot Open Affordance Learning with Foundation Models Gen Li Deqing Sun Laura Sevilla-Lara Varun Jampani VLM 68 22 0 29 Nov 2023
Language-Conditioned Affordance-Pose Detection in 3D Point Clouds Toan Tien Nguyen Minh Nhat Vu Baoru Huang Tuan V. Vo Vy Truong Ngan Le T. Vo Bac Le Anh Nguyen DiffM 35 16 0 19 Sep 2023
Multi-label affordance mapping from egocentric vision Lorenzo Mur-Labadia Jose J. Guerrero Ruben Martinez-Cantin EgoV 31 14 0 05 Sep 2023
Robust Fusion for Bayesian Semantic Mapping David Morilla-Cabello Lorenzo Mur-Labadia Ruben Martinez-Cantin Eduardo Montijano 41 11 0 14 Mar 2023
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015