With the advancement in face manipulation technologies, the importance o...
Previous raw image-based low-light image enhancement methods predominant...
One-shot skeleton action recognition, which aims to learn a skeleton act...
Low-light image enhancement task is essential yet challenging as it is
i...
While raw images have distinct advantages over sRGB images, e.g., linear...
Face forgery detection is essential in combating malicious digital face
...
3D Skeleton-based human action recognition has attracted increasing atte...
Staining is critical to cell imaging and medical diagnosis, which is
exp...
Recent deep-learning-based compression methods have achieved superior
pe...
Deep neural networks are likely to fail when the test data is corrupted ...
Simulating the effects of skincare products on face is a potential new w...
The goal of Few-Shot Continual Learning (FSCL) is to incrementally learn...
A protector is placed in front of the camera lens for mobile devices to ...
Recapture detection of face and document images is an important forensic...
Face anti-spoofing (FAS) and face forgery detection play vital roles in
...
Existing evaluation metrics for Person Re-Identification (Person ReID) m...
Face presentation attack detection (PAD) has been extensively studied by...
Rain removal aims to remove rain streaks from images/videos and reduce t...
Automatic assessment and understanding of facial skin condition have sev...
In recent years, supervised Person Re-identification (Person ReID) appro...
Face presentation attack detection (PAD) is an essential measure to prot...
Learning the generalizable feature representation is critical for few-sh...
To enhance low-light images to normally-exposed ones is highly ill-posed...
Domain generalization aims to learn an invariant model that can generali...
Skeleton-based human action recognition has attracted increasing attenti...
Though convolutional neural networks are widely used in different tasks,...
With the assistance of sophisticated training methods applied to single
...
Research on group activity recognition mostly leans on standard two-stre...
Recently, we have witnessed great progress in the field of medical imagi...
Deep neural networks (DNN) have shown great success in many computer vis...
One of the main drawbacks of deep Convolutional Neural Networks (DCNN) i...
Person-person mutual action recognition (also referred to as interaction...
Research on depth-based human activity analysis achieved outstanding
per...
This paper solves the Sparse Photometric stereo through Lighting
Interpo...
Face images captured through the glass are usually contaminated by
refle...
Action prediction is to recognize the class label of an ongoing activity...
In this paper, a feature boosting network is proposed for estimating 3D ...
The recent advances of hardware technology have made the intelligent ana...
Occlusions, complex backgrounds, scale variations and non-uniform
distri...
Removing the undesired reflections from images taken through the glass i...
Typical person re-identification (ReID) methods usually describe each
pe...
Weakly supervised semantic segmentation receives much research attention...
Human action recognition in 3D skeleton sequences has attracted a lot of...
Skeleton-based human action recognition has attracted a lot of research
...
The compact descriptors for visual search (CDVS) standard from ISO/IEC m...