The challenge in sourcing attribution for forgery faces has gained wides...
3D panoptic segmentation is a challenging perception task that requires ...
Glass-like objects are widespread in daily life but remain intractable t...
Artificial Intelligence (AI) is making a profound impact in almost every...
The unauthorized use of personal data for commercial purposes and the
cl...
Face anti-spoofing (FAS) based on domain generalization (DG) has been
re...
In this work, we investigate the problem of creating high-fidelity 3D co...
Various recent methods attempt to implement rotation-invariant 3D deep
l...
Implicit Neural Representations (INRs) are powerful to parameterize
cont...
Weakly supervised point cloud semantic segmentation methods that require...
In contrast to the traditional avatar creation pipeline which is a costl...
Point cloud completion, which aims at recovering original shape informat...
Night-Time Scene Parsing (NTSP) is essential to many vision applications...
Face anti-spoofing (FAS) approaches based on unsupervised domain adaptio...
With various face presentation attacks emerging continually, face
anti-s...
Information Bottleneck (IB) based multi-view learning provides an inform...
U-Nets have achieved tremendous success in medical image segmentation.
N...
Point cloud completion aims at completing geometric and topological shap...
Generating artistic portraits is a challenging problem in computer visio...
This paper presents a novel parametric curve-based method for lane detec...
Detection Transformer (DETR) and Deformable DETR have been proposed to
e...
Although existing face anti-spoofing (FAS) methods achieve high accuracy...
Prior plays an important role in providing the plausible constraint on h...
Pixel-level 2D object semantic understanding is an important topic in
co...
Unsupervised domain adaptation (UDA) aims to bridge the domain shift bet...
The rapid development of facial manipulation techniques has aroused publ...
Cross-domain object detection and semantic segmentation have witnessed
i...
3D object detection is an important task in computer vision. Most existi...
Unsupervised domain adaptation (UDA) aims to adapt a model of the labele...
Domain adaptation aims to bridge the domain shifts between the source an...
With various face presentation attacks arising under unseen scenarios, f...
Face anti-spoofing approaches based on domain generalization (DG) have d...
Novelty detection is the process of determining whether a query example
...
Recently, DETR and Deformable DETR have been proposed to eliminate the n...
Hidden features in neural network usually fail to learn informative
repr...
Single image dehazing is a challenging ill-posed problem due to the seve...
The Information Bottleneck (IB) provides an information theoretic princi...
Point cloud analysis without pose priors is very challenging in real
app...
Boundary information plays a significant role in 2D image segmentation, ...
Salient object detection aims at detecting the most visually distinct ob...
3D object detection has attracted much attention thanks to the advances ...
Face anti-spoofing is crucial to security of face recognition systems.
P...
With the development of medical imaging technology, medical images have
...
Face spoofing causes severe security threats in face recognition systems...
Fine-grained facial expression manipulation is a challenging problem, as...
Visual semantic correspondence is an important topic in computer vision ...
Unsupervised domain adaptation (UDA) aims to adapt existing models of th...
In this work, we propose a novel and concise approach for semi-supervise...
Abnormality detection is a challenging task due to the dependence on a
s...
Human pose and shape recovery is an important task in computer vision an...