Deep learning has recently gained popularity achieving state-of-the-art performance in tasks
involving text, sound, or image processing. Due to its outstanding performance, there have …

The recent introduction of 3D shape analysis frameworks able to quantify the deformation of
a shape into another in terms of the variation of real functions yields a new interpretation of …

This paper presents a unified framework for 3D shape retrieval. The method supports
multimodal queries (2D images, sketches, 3D objects) by introducing a novel view-based …

The traditional 3D object retrieval (3DOR) task is under the close-set setting, which assumes
the categories of objects in the retrieval stage are all seen in the training stage. Existing …

3D objects play a vital role in computer games, movies, TV, engineering design, and
biological sciences. Researchers have studied 3D object retrieval techniques using 2D and …

This paper presents a performance evaluation of shape similarity metrics for 3D video
sequences of people with unknown temporal correspondence. Performance of similarity …

Ongoing advancements in the fields of 3D modelling and digital archiving have led to an
outburst in the amount of data stored digitally. Consequently, several retrieval systems have …

Content-based 3D object retrieval has wide applications in various domains, ranging from
virtual reality to computer aided design and entertainment. With the rapid development of …

We present 3D-SURFER, a web-based tool designed to facilitate high-throughput
comparison and characterization of proteins based on their surface shape. As each protein …

The rapid evolution of information and communication technology has always been a source
for challenging new research questions in computer science. The vision of the emerging …