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 …

In this paper, we propose the multi-view saliency guided deep neural network (MVSG-DNN)
for 3D object retrieval and classification. This method mainly consists of three key modules …

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 …

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 …

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 …

Nowadays, many people frequently have to search for new accommodation options.
Searching for a suitable apartment is a time-consuming process, especially because visiting …

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 …

Environment understanding in real-world scenarios has gained an increased interest in
research and industry. The advances in data capture and processing allow a high-detailed …

2D image-based 3D object retrieval is a novel but challenging task for 3D object retrieval. In
this paper, we propose a 2D image-based 3D object retrieval method via joint …

In this paper, we propose a novel characteristic view selection model (CVSM) to address the
2D image-based 3D object retrieval problem. This work includes two key contributions: 1) …