3d vsg: Long-term semantic scene change prediction through 3d variable scene graphs
S Looper, J Rodriguez-Puigvert… - … on Robotics and …, 2023 - ieeexplore.ieee.org
Numerous applications require robots to operate in environments shared with other agents,
such as humans or other robots. However, such shared scenes are typically subject to …
such as humans or other robots. However, such shared scenes are typically subject to …
DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly
Reassembly tasks play a fundamental role in many fields and multiple approaches exist to
solve specific reassembly problems. In this context we posit that a general unified model can …
solve specific reassembly problems. In this context we posit that a general unified model can …
Commonsense Knowledge-Driven Joint Reasoning Approach for Object Retrieval in Virtual Reality
National Key Laboratory of General Artificial Intelligence, Bei**g Institute for General
Artificial Intelligence (BIGAI), China Retrieving out-of-reach objects is a crucial task in virtual …
Artificial Intelligence (BIGAI), China Retrieving out-of-reach objects is a crucial task in virtual …
ZInD-Tell: Towards Translating Indoor Panoramas into Descriptions
This paper focuses on bridging the gap between natural language descriptions 360-degree
panoramas room shapes and layouts/floorplans of indoor spaces. To enable new multi …
panoramas room shapes and layouts/floorplans of indoor spaces. To enable new multi …
Model-based inexact graph matching on top of DNNs for semantic scene understanding
Deep learning based pipelines for semantic segmentation often ignore structural information
available on annotated images used for training. We propose a novel post-processing …
available on annotated images used for training. We propose a novel post-processing …
Think holistically, act down-to-earth: A semantic navigation strategy with continuous environmental representation and multi-step forward planning
The Object goal Navigation (ObjectNav) task requires an agent to navigate through a
previously unknown domestic scenario using spatial and semantic contextual information …
previously unknown domestic scenario using spatial and semantic contextual information …
RP-SG: Relation Prediction in 3D Scene Graphs for Unobserved Objects Localization
Z Ying, X Yuan, B Yang, Y Song, Q Xu… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
The ability to search for objects is a fundamental prerequisite for mobile robots when
addressing a wide range of automation tasks. However, how to effectively estimate the …
addressing a wide range of automation tasks. However, how to effectively estimate the …
Unsupervised active visual search with monte carlo planning under uncertain detections
We propose a solution for Active Visual Search of objects in an environment, whose 2D floor
map is the only known information. Our solution has three key features that make it more …
map is the only known information. Our solution has three key features that make it more …
[PDF][PDF] Exploring the impact of knowledge graphs on zero-shot visual object state classification
In this work, we explore the potential of Knowledge Graphs (KGs) towards an effective Zero-
Shot Learning (ZSL) approach for Object State Classification (OSC) in images. For this …
Shot Learning (ZSL) approach for Object State Classification (OSC) in images. For this …
A survey on 3d scene graphs: Definition, generation and application
With the advancement of intelligent agents, 3D scene understanding has become one of key
tasks of computer vision. 3D scene understanding is challenging to represent effectively …
tasks of computer vision. 3D scene understanding is challenging to represent effectively …