The computer vision and pattern recognition communities have recently witnessed a surge
of feature-based methods in object recognition and image retrieval applications. These …

One of the core tasks in social network analysis is to predict the formation of links (ie various
types of relationships) over time. Previous research has generally represented the social …

We study the problem of how to build a deep learning representation for 3D shape. Deep
learning has shown to be very effective in variety of visual applications, such as image …

Non-rigid 3D shape retrieval has become an important research topic in content-based 3D
object retrieval. The aim of this track is to measure and compare the performance of non …

Non-rigid 3D shape retrieval has become an active and important research topic in content-
based 3D object retrieval. The aim of this paper is to measure and compare the performance …

A novel method for the classification and retrieval of 3D models is proposed; it exploits the
2D panoramic view representation of 3D models as input to an ensemble of convolutional …

This work offers an overview of the state-of-the-art on the emerging area of 3D object
retrieval based on partial queries. This research area is associated with several application …

To improve the retrieval performance on a classified 3D model database, we propose a 3D
model retrieval algorithm based on a hybrid 3D shape descriptor ZFDR and a class-based …

This paper presents a novel 3D shape retrieval method, which uses Bag-of-Features and an
efficient multi-view shape matching scheme. In our approach, a properly normalized object …

With the advent of commodity 3D capturing devices and better 3D modeling tools, 3D shape
content is becoming increasingly prevalent. Therefore, the need for shape retrieval …