Vision-based localization in a prior map is of crucial importance for
au...
Deepfakes raised serious concerns on the authenticity of visual contents...
This study investigates the problem of multi-view clustering, where mult...
In the generalized zero-shot learning, synthesizing unseen data with
gen...
There have been many efforts in attacking image classification models wi...
Zero-shot learning, which aims to recognize new categories that are not
...
Multi-view clustering is an important and fundamental problem. Many
mult...
Many multi-view clustering methods have been proposed with the popularit...
Image-level feature descriptors obtained from convolutional neural netwo...
Image-level feature descriptors obtained from convolutional neural netwo...
This paper proposes a global approach for the multi-view registration of...
Aggregating deep convolutional features into a global image vector has
a...
Efficiency and robustness are the important performance for the registra...
Recently, the low rank and sparse (LRS) matrix decomposition has been
in...