In order to effectively manage the use of existing infrastructures and prevent the emergency
caused by the large gathered crowd, the short-term passenger flow forecasting technology …

Multi-view matching is an important but a challenging task in view-based 3D model retrieval.
To address this challenge, we propose an original multi-modal clique graph (MCG) …

View-based 3-D model retrieval is one of the most important techniques in numerous
applications of computer vision. While many methods have been proposed in recent years …

At present, convolutional neural networks (CNNs) have become popular in visual
classification tasks because of their superior performance. However, CNN-based methods …

Effective 3D shape retrieval and recognition are challenging but important tasks in computer
vision research field, which have attracted much attention in recent decades. Although …

Benefit from avoiding the utilization of labeled samples, which are usually insufficient in the
real world, unsupervised learning has been regarded as a speedy and powerful strategy on …

Discriminative features of 3-D meshes are significant to many 3-D shape analysis tasks.
However, handcrafted descriptors and traditional unsupervised 3-D feature learning …

Abstract The Hausdorff Distance (HD) is a very important similarity measurement in Pattern
Recognition, Shape Matching and Artificial Intelligence. Because of its inherent …

Extracting local features from 3D shapes is an important and challenging task that usually
requires carefully designed 3D shape descriptors. However, these descriptors are hand …

Presently, the prevalence of large language models has driven the rapid popularization of
question-and-answer applications. However, the training and deployment of large language …