We study the fundamental problem of the construction of optimal randomiz...
Sign Language Translation (SLT) is a challenging task due to its cross-d...
Facial age estimation has received a lot of attention for its diverse
ap...
Long-tailed visual recognition has received increasing attention in rece...
Face Anti-spoofing (FAS) is essential to secure face recognition systems...
Face anti-spoofing (FAS) is an essential mechanism for safeguarding the
...
Most facial landmark detection methods predict landmarks by mapping the ...
Rehearsal approaches in class incremental learning (CIL) suffer from dec...
Motion recognition is a promising direction in computer vision, but the
...
Training large neural networks with meaningful/usable differential priva...
Vision Transformers (ViTs) have shown promising performance compared wit...
The networks trained on the long-tailed dataset vary remarkably, despite...
Oriented object detection is a crucial task in computer vision. Current
...
In this paper, a novel approach via embedded tensor manifold regularizat...
Current fully-supervised facial landmark detection methods have progress...
Facial age estimation is an important yet very challenging problem in
co...
The threat of 3D masks to face recognition systems is increasingly serio...
Dealing with incomplete information is a well studied problem in the con...
Human gesture recognition has drawn much attention in the area of comput...
Attribute reduction is one of the most important research topics in the
...
Although significant progress has been made in synthesizing high-quality...
Recently, heatmap regression has been widely explored in facial landmark...
Recently, convolutional neural networks (CNNs)-based facial landmark
det...
In this paper, we study the d-dimensional update-query problem. We provi...
Heatmap regression (HR) has become one of the mainstream approaches for ...
Although current face alignment algorithms have obtained pretty good
per...
Regardless of the usage of deep learning and handcrafted methods, the dy...
Pedestrian detection has achieved significant progress with the availabi...
Face anti-spoofing is essential to prevent face recognition systems from...
The ChaLearn large-scale gesture recognition challenge has been run twic...
Deep neural network (DNN) based systems have been deployed to assist var...
Face anti-spoofing is essential to prevent face recognition systems from...
Deep learning based computer vision fails to work when labeled images ar...
Human motion recognition is one of the most important branches of
human-...
Recently, the popularity of depth-sensors such as Kinect has made depth
...
This paper introduces principal motion components (PMC), a new method fo...