In this paper, we place the atomic action detection problem into a Long-...
The rapid development of facial manipulation techniques has aroused publ...
With various face presentation attacks arising under unseen scenarios, f...
Localizing individuals in crowds is more in accordance with the practica...
Recently, the problem of inaccurate learning targets in crowd counting d...
In pursuit of consolidating the face verification systems, prior face
an...
Face anti-spoofing approaches based on domain generalization (DG) have d...
In this work, we propose a high fidelity face swapping method, called
Hi...
Non-parametric face modeling aims to reconstruct 3D face only from image...
Demographic bias is a significant challenge in practical face recognitio...
Recent studies reveal that Convolutional Neural Networks (CNNs) are typi...
Deep neural networks, particularly face recognition models, have been sh...
With the rapid development of facial manipulation techniques, face forge...
Face anti-spoofing approach based on domain generalization(DG) has drawn...
Deep models have shown their vulnerability when processing adversarial
s...
Few-shot learning (FSL), which aims to recognise new classes by adapting...
Temporal action localization is an important yet challenging task in vid...
For action recognition learning, 2D CNN-based methods are efficient but ...
In recent years, Face Image Quality Assessment (FIQA) has become an
indi...
This paper reports methods and results in the DeeperForensics Challenge ...
Face authentication on mobile end has been widely applied in various
sce...
Recent deep-learning based Super-Resolution (SR) methods have achieved
r...
Human motion prediction aims to predict future 3D skeletal sequences by
...
Face anti-spoofing is crucial to security of face recognition systems.
P...
Human pose estimation is the task of localizing body keypoints from stil...
Multiple Object Tracking (MOT) is an important task in computer vision. ...
Existing Multiple-Object Tracking (MOT) methods either follow the
tracki...
Motivated by the previous success of Two-Dimensional Convolutional Neura...
Cartoon face detection is a more challenging task than human face detect...
As an emerging topic in face recognition, designing margin-based loss
fu...
With the rapid development of mobile devices, smartphones have gradually...
Unsupervised learning of optical flow, which leverages the supervision f...
In this paper, we propose a novel Automatic and Scalable Face Detector
(...
Large facial variations are the main challenge in face recognition. To t...
Efficiency is an important issue in designing video architectures for ac...
Generating temporal action proposals remains a very challenging problem,...
In this work, we propose a novel framework named Region-Aware Network (R...
In this paper, we propose a light reflection based face anti-spoofing me...
In recent years, heatmap regression based models have shown their
effect...
Recently, Convolutional Neural Network (CNN) has achieved great success ...