Learning 3d semantic scene graphs from 3d indoor reconstructions
Scene understanding has been of high interest in computer vision. It encompasses not only
identifying objects in a scene, but also their relationships within the given context. With this …
identifying objects in a scene, but also their relationships within the given context. With this …
Hierarchical multi-view context modelling for 3D object classification and retrieval
Recent advances in 3D sensors and 3D modelling software have led to big 3D data. 3D
object classification and retrieval are becoming important but challenging tasks. One critical …
object classification and retrieval are becoming important but challenging tasks. One critical …
Learning 3d semantic scene graphs with instance embeddings
A 3D scene is more than the geometry and classes of the objects it comprises. An essential
aspect beyond object-level perception is the scene context, described as a dense semantic …
aspect beyond object-level perception is the scene context, described as a dense semantic …
FArMARe: a Furniture-Aware Multi-task methodology for Recommending Apartments based on the user interests
Nowadays, many people frequently have to search for new accommodation options.
Searching for a suitable apartment is a time-consuming process, especially because visiting …
Searching for a suitable apartment is a time-consuming process, especially because visiting …
M-GCN: Multi-branch graph convolution network for 2D image-based on 3D model retrieval
2D image based 3D model retrieval is a challenging research topic in the field of 3D model
retrieval. The huge gap between two modalities-2D image and 3D model, extremely …
retrieval. The huge gap between two modalities-2D image and 3D model, extremely …
Semantic consistency guided instance feature alignment for 2D image-based 3D shape retrieval
2D image-based 3D shape retrieval (2D-to-3D) investigates the problem of matching the
relevant 3D shapes from gallery dataset when given a query image. Recently, adversarial …
relevant 3D shapes from gallery dataset when given a query image. Recently, adversarial …
Image-based 3D model retrieval via disentangled feature learning and enhanced semantic alignment
J Nie, T Zhang, T Li, S Yu, X Li, Z Wei - Information Processing & …, 2023 - Elsevier
With the development of 3D technology and the increase in 3D models, 2D image-based 3D
model retrieval tasks have drawn increased attention from scholars. Previous works align …
model retrieval tasks have drawn increased attention from scholars. Previous works align …
Smart counting of unboxed stocks in the Warehouse 4.0 ecosystem
The explosion of logistics is consolidating a positive impact on modern society by offering a
critical contribution to its economic development. Traditional inventory methods tend to be …
critical contribution to its economic development. Traditional inventory methods tend to be …
Automatic Scene Generation: State-of-the-Art Techniques, Models, Datasets, Challenges, and Future Prospects
AA Fime, S Mahmud, A Das, MS Islam… - arxiv preprint arxiv …, 2024 - arxiv.org
Automatic scene generation is an essential area of research with applications in robotics,
recreation, visual representation, training and simulation, education, and more. This survey …
recreation, visual representation, training and simulation, education, and more. This survey …
Universal cross-domain 3D model retrieval
Recent advances in 3D modeling technologies such as 3D scanning, reconstruction and
printing produce an explosive increasing of 3D models, consequently 3D model …
printing produce an explosive increasing of 3D models, consequently 3D model …