We study the graph alignment problem over two independent Erdős-Rényi
gr...
Most existing approaches for point cloud normal estimation aim to locall...
The rapid development of point cloud learning has driven point cloud
com...
Point cloud upsampling focuses on generating a dense, uniform and
proxim...
Human face images usually appear with wide range of visual scales. The
e...
In this article, we present a new EEG signal classification framework by...
For two correlated graphs which are independently sub-sampled from a com...
The problem of detecting edge correlation between two Erdős-Rényi
random...
Although deep face recognition benefits significantly from large-scale
t...
With the recent development of deep convolutional neural networks and
la...
Near-infrared to visible (NIR-VIS) face recognition is the most common c...
Face recognition is one of the most fundamental and long-standing topics...
Object proposal technique with dense anchoring scheme for scene text
det...
Deep face recognition has made remarkable advances in the last few years...
Most existing public face datasets, such as MS-Celeb-1M and VGGFace2, pr...