Existing normal estimation methods for point clouds are often less robus...
Recall one time when we were in an unfamiliar mall. We might mistakenly ...
Face anti-spoofing (FAS) based on domain generalization (DG) has been
re...
The quality of point clouds is often limited by noise introduced during ...
Semi-supervised learning (SSL) has attracted enormous attention due to i...
For pursuing accurate skeleton-based action recognition, most prior meth...
Deep learning has enabled realistic face manipulation (i.e., deepfake), ...
Spectral graph convolutional neural networks (GCNNs) have been producing...
How will you repair a physical object with large missings? You may first...
In-place gesture-based virtual locomotion techniques enable users to con...
6D pose estimation of rigid objects from RGB-D images is crucial for obj...
Point cloud filtering and normal estimation are two fundamental research...
Transformer-based Self-supervised Representation Learning methods learn
...
Histopathological image analysis is the gold standard to diagnose cancer...
Intracranial aneurysms are common nowadays and how to detect them
intell...
As a popular representation of 3D data, point cloud may contain noise an...
Normal estimation on 3D point clouds is a fundamental problem in 3D visi...
Existing position based point cloud filtering methods can hardly preserv...
Though a number of point cloud learning methods have been proposed to ha...
Unsupervised domain adaptation (UDA) aims to bridge the domain shift bet...
Most existing 3D geometry copy detection research focused on 3D watermar...
3D anatomical landmarks play an important role in health research. Their...
Internet of Things (IoT) based applications face an increasing number of...
Face recognition is one of the most studied research topics in the commu...
Walking in place for moving through virtual environments has attracted
n...
Cross-domain object detection and semantic segmentation have witnessed
i...
Unsupervised domain adaptation (UDA) aims to adapt a model of the labele...
Domain adaptation aims to bridge the domain shifts between the source an...
The free-form deformation model can represent a wide range of non-rigid
...
Face deepfake detection has seen impressive results recently. Nearly all...
Nematode worms are one of most abundant metazoan groups on the earth,
oc...
Current annotation for plant disease images depends on manual sorting an...
It has become increasingly challenging to distinguish real faces from th...
Color transfer, which plays a key role in image editing, has attracted
n...
Feature-preserving mesh denoising has received noticeable attention rece...
3D human segmentation has seen noticeable progress in re-cent years. It,...
Existing research in scene image classification has focused on either co...
Previous methods for representing scene images based on deep learning
pr...
Face spoofing causes severe security threats in face recognition systems...
Point cloud filtering, the main bottleneck of which is removing noise
(o...
In evolutionary algorithms, genetic operators iteratively generate new
o...
Nowadays it is prevalent to take features extracted from pre-trained dee...
Point cloud filtering is a fundamental problem in geometry modeling and
...
In this paper we attempt to address the problem of geometric multi-model...
Sharing images online poses security threats to a wide range of users du...
The existing image feature extraction methods are primarily based on the...
Facial expression transfer between two unpaired images is a challenging
...
Indoor image features extraction is a fundamental problem in multiple fi...
This paper presents a simple yet effective method for feature-preserving...
3D object detection from raw and sparse point clouds has been far less
t...